Assessing the Risk in Urban Public Transport for Epidemiologic Factors
Abstract
:1. Introduction
1.1. Literature Search
- Historical descriptions of epidemies breaking out before the appearance of the SARS-CoV-2 virus;
- Descriptions of transport risk analysis methods (all types of transport);
- Descriptions of the impact of transport on the transmission of infectious agents.
1.2. Background
- Analysis of travel behaviour and management of demand integration within a group of cities;
- Design and management of agglomeration systems;
- Identification of risk and crisis management within an agglomeration system;
- Issues involved in sustainable urban development including the development of the transport system.
1.3. Epidemic Threats
1.4. Epidemics in Transport
Disease | Transmission | R0 | Source |
---|---|---|---|
Measles | Aerosol | 12–18 | [50] |
Chickenpox | Aerosol | 3.7–5.0 | [51] |
Smallpox | Respiratory droplets | 3.5–6 | [52] |
Influenza seasonal and pandemic | Respiratory droplets | 1.1–2.8 | [53,54] |
SARS-CoV | Respiratory droplets | 0.19–1.08 | [55] |
SARS-CoV-2 | Respiratory droplets | 1.4–8.9 | [56] |
MERS | Respiratory droplets | 0.3–0.8 | [57] |
1.5. COVID-19 in Transport
In-Flight and Post-Flight |
February 2003 Boeing 777-300, from Hong Kong to Taipei, 90 min, 315 passengers and crew members, 74 (23%) were interviewed, besides one person with presymptomatic SARS (confirmed to be seropositive for SARS-CoV) onboard, no additional illness consistent with SARS was developed [63] |
March 2003 Boeing 737-300, from Hong Kong to Beijing, 3 h, 120 passengers and crew members, 65 (56%) were interviewed, one of the passengers was asymptomatic on board (latter confirmed SARS), in 20 persons SARS was confirmed to have developed, and 2 other persons were given diagnoses of probable SARS [63] |
January 2020 Boeing 787-9 (equipped with air handling systems), from Singapore to Hangzhou Xiaoshan in China, 5 h, 335 passengers and 11 crew members, seat occupancy 89%, all passengers were interviewed; COVID-19 developed in 16 persons with the overall attack rate at 4.8%; the attack rate was higher (13.76%) among passengers who had previously departed from Wuhan (15 COVID-19 cases per 109 persons) than among those who did not have a history of travel to Wuhan (1 COVID-19 cases per 226 persons, attack rate 0.44%) [64] |
Ground Transport |
Significant association between the load of passengers who travelled by domestic train from Wuhan and the number of COVID-19 cases reported in the destination cities [60] |
Progressively increased correlations for trains and buses traveling from Wuhan and the daily/cumulative numbers of COVID-19 cases in destination cities was reported [61] |
Cruise Ship |
The British-registered Diamond Princess with 2666 passengers and 1045 crew members from 56 countries (1281 from Japan) was the first cruise ship with a reported major outbreak of COVID-19 on board, 700 people became infected, and 14 people died, the ship quarantined at Yokohama for about 1 month since 4 February 2020 [65] |
1.6. Reason and Goal of the Paper
2. Materials and Methods
2.1. Review of Public Transport Measures
2.2. Review of Strategies Designed to Tackle the COVID-19 Epidemic
- Contact between skin and infected material;
- Droplets;
- Inhalation.
2.3. Changes in Transport Behaviour of Urban Populations in Selected Countries
- Only 50% of passenger capacity could be used;
- Seats next to an occupied seat could not be used;
- Seated travel only.
- Keeping a distance between passengers—a range of solutions from banning standing or the use of seats next to an occupied seat, designating seats for passengers or marking zones on the floor to be used by a single passenger only, all the way to nationwide regulated vehicle capacities;
- Limiting the use of buttons by passengers (for example, by disusing stops per request), using central door opening systems, disactivating ticket machines, and introducing free travel;
- Contact was restricted between drivers and passengers by using physical cabin separation, stopping ticket sales, and having passengers use back doors;
- Having passengers wear mouth and nose masks and encouraging people to cover their eyes;
- Encouraging people to disinfect their hands;
- More frequent vehicle disinfections;
- Vehicles were regularly aired, and doors and windows were opened; air-conditioning was not used.
- Planning trips outside peak hours to avoid overcrowding;
- Free travel outside peak hours to encourage travel planning even more.
2.4. Assessment of Transport-Related Epidemic Risks
2.5. Risk and Action Scenarios
2.5.1. Transport Hazards
2.5.2. Transport Risk and How It Is Defined
- Rare—single cases of infection, full control over potentially infected people;
- Sporadic—a few cases of infection, over a small area (city), continued full control over potentially infected people;
- Likely—numerous cases of infection, over a large area (region), partial loss of control over infected people;
- Frequent—mass infections, whole country, significant loss of control over potentially infected people.
- Insignificant—using public transport leads to occasional infections, no outbreaks;
- Low—using public transport leads to occasional outbreaks in a city;
- Serious—using public transport leads to local outbreaks in a region;
- Catastrophic—using public transport leads to numerous outbreaks, across different regions, which eventually leads to loss of control over infected people.
2.5.3. Preparedness and Response in Epidemic Development Scenarios
3. Results
Scenarios for Reducing Epidemic Risk in Public Transport
- The carrying out of an analysis of passenger streams by commuter lines to workplaces that cannot be closed, to schools, universities or offices that may work online, and to places of recreation. Passenger streams should be estimated based on the changes that occurred during the first wave of the coronavirus. Because the public slowly becomes accustomed to the hazard, it is likely that passenger number drops during the second wave may be lower than during the first wave.
- The carrying out of check-ups of the fleet and introduce new passenger limits per vehicle for different epidemic scenarios.
- Based on the estimated passenger streams and vehicle capacities, variable timetables should be prepared and implemented if the epidemic scenarios change. It is particularly important to match seat supply to passenger numbers.
- Work should begin to prepare vehicles to move from the baseline scenario 0 to 1. This means ordering and rearranging vehicles to separate the passengers’ space from the driver’s cabin and minimising the need for the driver to enter into the passengers’ space.
- Work should begin to prepare public transport stops to move the from baseline scenario 0 to 1. This means setting up seats spaced at the right distance, roofing the entire public transport stop as needed (shelters are to be avoided because passengers tend to aggregate there when it is raining or snowing), and planning layouts so that passengers can wait without excessive congestion.
- Ticketing methods need revision. Smart solutions should be prevalent: contactless cards, mobile applications, and contactless screens in ticket machines. Paper tickets validated at stations or in vehicles, and the use of cash to buy tickets from the driver, should be abandoned.
- Consideration should be given to the fact that driver–passenger contact may have to be restricted. This means new ways must be devised to help people with disabilities. Manually operated ramps should be avoided and replaced with automatic ramps or platforms adjusted to vehicle floors.
- The carrying out of an audit of heating and air-conditioning equipment to establish how it may contribute to the spread of infectious agents inside a vehicle. A plan should be prepared for switching off or redesigning the equipment as needed.
- The carrying out of an audit of the fabric on seats and the material used in railings, handles and surfaces that passengers touch. Materials should be used that help with disinfection and hamper the development and survival of infectious agents.
- The carrying out of an audit of so-called hot spots such as buttons for opening doors. Where possible, doors should open automatically without the need to press buttons.
- Preparedness for disinfecting vehicles must be ensured if the epidemic scenario changes. A plan of action should be developed if disinfection is to be carried out away from the depot (e.g., at terminal stops).
- Personal protection equipment and disinfectants must be kept in sufficient supply. The equipment should be part of vehicle equipment or should be issued to staff.
- The carrying out of an audit and review of existing staff uniforms. They should be of fabric that can be washed frequently and which hampers the production of infectious agents.
- Campaigns should be run to inform passengers of the possible threats and preventive measures. They should be designed to give passengers a sense of security and keep them alert at the same time. If ill-thought-out, warnings may cause fear, leading passengers to make undesirable transport choices.
- Funding must be ensured to support transport companies if ticket revenue falls sharply. Public transport is key to the efficient operation of cities and must be kept operational.
- Given all the threats of the epidemic, a continued effort should be made towards sustainable transport by promoting walking and cycling routes, extending tram networks, giving more priority to public transport vehicles and ensuring road safety.
- Preparing staff for work under the conditions of an epidemic, with regular training to increase their knowledge and competence in this area.
- Launching and maintaining a helpline for the employees, which enables immediate help in specific cases.
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A. Changing Habits of Mobile Phone Users, and Daily COVID-19 Cases per Million Habitants
Appendix B
Scenario 0 | Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 | Scenario 5 |
---|---|---|---|---|---|
Level of Epidemic | |||||
Zero | Low | Medium | High | Very high | |
Characteristics | |||||
Baseline before COVID-19 epidemic | No cases, preventative measures | Stable or falling number of cases | Slight increase in cases | Numerous cases | Lockdown |
Strategy of Action | |||||
None | ST1 | ST2 | ST3 | ST4 | ST5 |
Transport System Operation | |||||
Full | Full | Full with reinforcements | Some restrictions | Strong restrictions | None |
Availability of Transport | |||||
Normal transport services | Normal transport services | Full transport services with reinforcements to reduce overcrowding | Non-essential services reduced | System available to key worker groups only | No transport services |
Waiting Zone | |||||
- Distance between passengers is not limited. - Ticket machines and surfaces cleaned sporadically - Floors or seats are not marked. - Disinfectants are not available. | - Distance between passengers not less than 0.5 m (about 0.5 m2 per person). - Preventative disinfection of ticket machines and surfaces, once a day. | - Distance between passengers not less than 1 m (about 1 m2 per person). - Preventative disinfection of ticket machines and surfaces (at least 2 a day after peak hours). - Put up signs to stop people from gathering in a single space. - Mark seats to ensure a distance of 1 m for those waiting. | - Distance between passengers not less than 1.5 m, which is about 2.5 m2 per person. - Preventative disinfection of ticket machines and surfaces multiple times daily. - Introduce guidance to encourage the use of mobile ticket purchases. - Put up signs to stop people from gathering in a single space and mark spaces on floor. - Mark seats to ensure a distance of 1.5 m for those waiting. - Provide hand disinfectants for passengers. | - Distance between passengers not less than 3 m, (about 7 m2 per person). - Disable ticket machines and make other forms of payment mandatory (mobile apps, etc.). - Disinfect surfaces multiple times daily. - Put up signs to stop people from gathering in a single space and mark spaces on floor or surface. - Mark seats to ensure a distance of 3 m for those waiting. - Provide hand disinfectants for passengers. - Provide shoe disinfectants for passengers. | - Close waiting zones. |
Passenger Exchange Zone | |||||
No requirements regarding passenger exchange zone. | - Passenger exchange zone should be free from obstacles to prevent crowding. | - Mark floors or surfaces to channel passenger streams and stop the mixing of boarding and disembarking passengers. | - Mark floors or surfaces to channel passenger streams and stop the mixing of boarding and disembarking passengers, and maintain a distance of not less than 1.5 m. | - Passengers waiting to board a vehicle must wait outside the passenger exchange zone until all passengers have disembarked. | - Close passenger exchange zones. |
Vehicle | |||||
- Vehicle capacity defined as all occupied seats and 0.125 m2 per person standing. - Ticket machines and surfaces cleaned sporadically - No markings of floors or seats. - No disinfectants. - Air-conditioning and heating operating in a closed system, no detailed requirements regarding filters. | - Vehicle capacity defined as all occupied seats and 0.5 m2 per person standing. - Normal operation of air-conditioning, active door buttons, ticket machines. - Surfaces touched by passengers cleaned and disinfected once a day, after the vehicle has returned to base. | - Vehicle capacity defined as all occupied seats and 1 m2 per person standing. - Introduce vehicle floor markings to help with keeping passenger distance. - Normal operation of air-conditioning, active door buttons, ticket machines. - Equip air-conditioning with filters to reduce the spread of microorganisms. - Surfaces touched by passengers cleaned and disinfected twice a day after peak hours. | - Vehicle capacity defined as half of occupied seats (or a seat unoccupied next to an occupied one) and 2.5 m2 per person standing. - Introduce vehicle floor and seat markings to help with keeping passenger distance. - Increase vehicle airing and limit the use of closed system air-conditioning and heating. - Air-conditioning to be equipped with filters limiting the spread of microorganisms—at least HEPA filters where possible. - Surfaces touched by passengers should be cleaned and disinfected every time the vehicle waits at the terminal stop. - Restrict the use of buttons and touch screens by passengers—open doors remotely or use automatic devices, switch off ticket machines and recommend the use of mobile applications. | - Plan seat distribution to ensure that passengers keep the right distance. Only selected seats in a vehicle can be used. - Switch off all touch-operated devices. - Switch off air-conditioning and heating operating in a closed system. - Air the vehicle at each stop and terminal stop. - Surfaces touched by passengers should be cleaned and disinfected every time the vehicle waits at the terminal stop. - Restrict the use of buttons and touch screens by passengers—open doors remotely or use automatic devices, switch off ticket machines. | - No passenger services. |
Operator Preparedness | |||||
- No regulations regarding staff uniform or personal protective equipment. - No analyses or supplies of disinfectants or personal protective equipment. | - Provide staff with personal protective equipment such as disposable gloves, disinfectants - Supply disinfectants, technical materials and protective equipment, prepare for the possibility of raising the scenario to ST3. - Keep staff and vehicles at appropriate level to follow the requirements of ST2. | - Equip staff with personal protective equipment and masks. - Introduce safety and disinfection rules for all jobs. - Conduct an analysis of filling in for key personnel if unable to work. - Supply disinfectants, technical materials and protective equipment, prepare for the possibility of raising the scenario to ST3. | - Equip staff with personal protective equipment and masks. - Introduce safety and disinfection rules for all jobs. Vehicles to be operated in gloves and masks to be worn upon leaving driver cabins. - Conduct an analysis of filling in for key personnel if unable to work. - Supply of disinfectants, technical materials and protective equipment to be maintained at level of ST3 for 30 days with the possibility of going up to ST4. - Check health of staff reporting for work. | - Equip staff with personal protective equipment, outfits, eye-glasses and masks. - Masks and gloves to be worn at work, work clothes to be washed by operator at shift end. - Conduct an analysis of filling in for key personnel if unable to work. - Supply of disinfectants, technical materials and protective equipment to be maintained at level of ST4 for 14 days or at level of ST3 for 30 days. - Check health of staff reporting for work. - Regular testing of staff for infectious factors. | - Key personnel which is critical for the operation of the company works to the most rigorous sanitary regime with no contact with passengers. - Conduct an analysis of strategies on filling in for key personnel if unable to work. - Continuous monitoring of company preparedness to move into ST4. - Supply of disinfectants, technical materials and protective equipment to be maintained at level of ST4 for 14 days or at level of ST3 for 30 days. - Check health of staff reporting for work. - Regular testing of staff for infectious factors. |
Staff Coming into Contact with Passengers | |||||
- Open driver cabins, not separated from passengers. - Same door for staff and passengers. - Frequent entry into passenger space. - Tickets sold and checked without any protection. | - Physically separate driver cabins using a glass panel and provide a separate exit for the driver (where possible). - Tickets to be purchased from the driver only if no other form to buy or check tickets is possible. | - Seal driver cabin (where possible). - Any ticket sales by driver must be paid using contactless forms. - Limited ticket checks, controllers wearing safety equipment (masks, gloves) and contactless terminals. | - Seal driver cabin (where possible). - Introduce a buffer zone between driver cabin and passenger space, 1.5 m wide. - Remove contact between driver and passengers, no tickets sold by driver. - Only allow staff to be in passenger space if absolutely necessary. - Tickets checked only at platforms. | - Seal driver cabin (where possible). - Introduce a buffer zone between driver cabin and passenger space, 3 m wide. - Passengers and staff not allowed to be in the same section of the vehicle (except emergencies). - Ticket checks replaced with access control for those authorized. | - No contact between staff and passengers. |
Staff drills and preparedness (in a transport company) in case of an epidemic: | |||||
-None | - Introduce response procedures in case of an atypical event that occurred on board a vehicle which may lead to an infection risk—evacuation, separation, disinfection, - Staff training in case they come into contact with a potentially infected person. - Staff training in case the epidemic alert level goes up. | - Staff training and reminders regarding daily vehicle disinfection routines and behaviour towards passengers, - Staff training on the possibility of increasing epidemic risk levels. | - Staff training and reminders regarding daily vehicle disinfection routines and behaviour towards passengers, - Staff training on handling stress and dealing with people when they must be refused travel (vehicle overcrowding), - Regular training on the use of personal protection equipment, - Communicate to staff the possibility that they may come into contact with an infected person, - Staff training on the possibility of increasing epidemic risk levels. | - Staff training on ways to select passengers before they board the vehicle, - Staff training on handling stress and dealing with people when they must be refused travel (vehicle overcrowding), - Regular training on the use of personal protection equipment, - Communicate to staff the possibility that they may come into contact with an infected person, - Staff training on the possibility of increasing epidemic risk levels. | - Staff training to ensure preparedness to reintroduce services when epidemic risk is lower. |
Route Operation | |||||
- Normal transport service. - Allow overcrowding of vehicles. | - Normal transport service while restricting capacity. | - Normal transport service, on particularly busy lines (especially for commutes to work or school) add services to reduce overcrowding. | - Reduce service frequency on less important routes, maintain service on key lines. - Action to reduce vehicle overcrowding, response if overcrowding occurs. | - Suspend less important lines. - Operate vehicles on key lines only to match demand. - Strict control of passenger numbers and dynamic response to needs as they arise. | - No service. |
Passenger Guidelines | |||||
- No guidelines. | - Use of hygiene products (wash hands) after trips. - Cover mouth and nose if unwell. - Encourage the use of mobile apps for travel. | - Use of hygiene products (wash and disinfect hands) after trips. - Encourage all passengers to cover mouth and nose. - Encourage passengers to not converse. - Encourage passengers to use mobile apps for travel. - Avoid travel if unwell. | - Use of hygiene products (wash and disinfect hands) during and after trips. - All passengers must cover mouth and nose. - Encourage the use of disposable gloves for travel. - Encourage passengers to travel off-peak. - Avoid travel if unwell, for the elderly and people with chronic diseases or reduced immunity. - Mobile apps to be used by all or tickets to be bought outside the vehicle. | - Use of hygiene products (wash and disinfect hands) during and after trips. - All passengers must cover mouth and nose. - Everyone must wear disposable gloves when travelling. - Travelling not allowed for people with disease symptoms. | - No passenger services. |
Critical Analyses | |||||
- No analyses conducted. | - Analysis of passenger streams and enhancements for the busiest lines to avoid overcrowding. - Regular vehicle cleanliness analyses. | - Analysis of changes in passenger behaviour. Introduce enhancements on key lines. - Regular analysis of vehicle cleanliness for infectious factors. | - Analysis of drop in passenger numbers and responses to decreasing demand to maintain transport company profitability as much as possible (external funding necessary). - Daily analysis of vehicle cleanliness for infectious factors. | - Analysis and design of a new transport system addressed to key workers only. - Analysis of vehicle cleanliness for infectious factors at each terminal stop. | - Analysis and assessment of fleet and infrastructure condition while disused to ensure that it can resume operation as soon as possible. |
References
- Huang, H.J.; Xia, T.; Tian, Q.; Liu, T.L.; Wang, C.; Li, D. Transportation issues in developing China’s urban agglomerations. Transp. Policy 2020, 85, A1–A22. [Google Scholar] [CrossRef]
- Jaszczak, A.; Morawiak, A.; Zukowska, J. Cycling as a sustainable transport alternative in polish cittaslow towns. Sustainability 2020, 12, 5049. [Google Scholar] [CrossRef]
- Okraszewska, R.; Jamroz, K.; Michalski, L.; Zukowska, J.; Grzelec, K.; Birr, K. Analysing ways to achieve a new Urban Agenda—based sustainable metropolitan transport. Sustainability 2019, 11, 813. [Google Scholar] [CrossRef] [Green Version]
- Verma, A.; Raturi, V.; Kanimozhee, S. Urban Transit Technology Selection for Many-to-Many Travel Demand Using Social Welfare Optimization Approach. J. Urban Plan. Dev. 2018, 144, 04017021. [Google Scholar] [CrossRef]
- Zhang, C.; Juan, Z.; Luo, Q.; Xiao, G. Performance evaluation of public transit systems using a combined evaluation method. Transp. Policy 2016, 45, 156–167. [Google Scholar] [CrossRef]
- Directorate General of Civil Aviation and Maritime Affairs Causal Model for Air Transport Safety. 2009. Available online: https://d37djvu3ytnwxt.cloudfront.net/assets/courseware/v1/82b9fe609b4b093d095b9f88b6c3a18a/asset-v1:DelftX+RI101x+1T2016+type@asset+block/Causal-Model-for-Air-Transport-Safety-Final-Report.pdf (accessed on 15 May 2021).
- Żurek, J. Wybrane metody oceny bezpieczeństwa w lotnictwie. Probl. Eksploat. 2009, 4, 61–70. [Google Scholar]
- Clothier, R.A.; Williams, B.P.; Fulton, N.L.; Lin, X. ALARP and the Risk Management of Civil Unmanned Aircraft Systems. In Proceedings of the The Australian System Safety Conference (ASSC 2013), Adelaide, Australia, 22–24 May 2013. [Google Scholar]
- Sitarz, M.; Chruzik, K.; Wachnik, A. Zintegrowany system zarządzania bezpieczeństwem w transporcie kolejowym. TTS Tech. Transp. Szyn. 2011, 18, 5–6. [Google Scholar]
- Spraggins, H.B. The case for rail transportation of hazardous materials. J. Manag. Mark. Res. 2010, 3, 1–8. [Google Scholar]
- Berrado, A.; El-Koursi, E.; Cherkaoui, A.; Khaddour, M. A Framework for Risk Management in Railway Sector: Application to Road-Rail Level Crossings. Open Transp. J. 2010, 5. [Google Scholar] [CrossRef] [Green Version]
- Li, S.; Meng, Q.; Qu, X. An Overview of Maritime Waterway Quantitative Risk Assessment Models. Risk Anal. 2012, 32, 496–512. [Google Scholar] [CrossRef] [Green Version]
- Ozbas, B. Safety Risk Analysis of Maritime Transportation. Transp. Res. Rec. J. Transp. Res. Board 2013, 2326, 32–38. [Google Scholar] [CrossRef]
- Goerlandt, F.; Montewka, J. Maritime transportation risk analysis: Review and analysis in light of some foundational issues. Reliab. Eng. Syst. Saf. 2015, 138, 115–134. [Google Scholar] [CrossRef]
- Technical Committee 3.2. Towards Development of a Risk Management Approach; PIARC: Paris, France, 2010. [Google Scholar]
- Hovden, J. Safety Management Systems. Saf. Sci. 1996, 24, 157–158. [Google Scholar] [CrossRef]
- Copsey, S. Managing Risks to Drivers in Road Transport; European Agency for Safety and Health at Work: Bilbao, Spain, 2011; ISBN 978-92-9191-407-4. [Google Scholar]
- Chruzik, K.; Jamroz, K.; Kadziński, A.; Szymanek, A.; Gucma, L.; Skorupski, J. Trans-Risk—An Integrated Method for Risk Management in Transport. J. Konbin 2010, 13. [Google Scholar] [CrossRef]
- Jamroz, K.; Chruzik, K.; Gucma, L.; Skorupski, J. Integracja metod zarządzania ryzykiem w transporcie. In Zintegrowany System Bezpieczeństwa Transportu “ZEUS”; Wydawnictwa Komunikacji i Łączności: Warsaw, Poland, 2009. [Google Scholar]
- Kadzinski, A.; Gill, A. Koncepcja implementacji metody Trans-Risk do zarządzania ryzykiem w komunikacji tramwajowej. Logistyka. 2011, 3, 1054–1064. [Google Scholar]
- Jamroz, K. Method of Risk Management in Highway Engineering; Gdansk University of Technology: Gdansk, Poland, 2011. [Google Scholar]
- Jamroz, K.; Budzyński, M.; Romanowska, A.; Żukowska, J.; Oskarbski, J.; Kustra, W. Experiences and Challenges in Fatality Reduction on Polish Roads. Sustainability 2019, 11, 959. [Google Scholar] [CrossRef] [Green Version]
- Russo, F.; Vitetta, A. Risk evaluation in a transportation system. Int. J. Sustain. Dev. Plan. 2006, 1, 170–191. [Google Scholar] [CrossRef] [Green Version]
- Russo, F.; Rindone, C. Data Envelopment Analysis (DEA) for evacuation planning. In WIT Transactions on Information and Communication Technologies, Proceedings of the 7th International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, lgarve, Portugal, 13–15 September 2010; WIT Press: Southampton, UK, 2010; Volume 43, Part I; pp. 455–467. [Google Scholar]
- Hauser, P.; Schönheit, D.; Scharf, H.; Anke, C.-P.; Möst, D. Covid-19’s Impact on European Power Sectors: An Econometric Analysis. Energies 2021, 14, 1639. [Google Scholar] [CrossRef]
- Nagaj, R.; Žuromskaitė, B. Tourism in the Era of Covid-19 and Its Impact on the Environment. Energies 2021, 14, 2000. [Google Scholar] [CrossRef]
- Kim, E.A. Social Distancing and Public Health Guidelines at Workplaces in Korea: Responses to Coronavirus Disease-19. Saf. Health Work 2020, 11, 275–283. [Google Scholar] [CrossRef]
- Kraemer, M.U.G.; Yang, C.H.; Gutierrez, B.; Wu, C.H.; Klein, B.; Pigott, D.M.; du Plessis, L.; Faria, N.R.; Li, R.; Hanage, W.P.; et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 2020, 368, 493–497. [Google Scholar] [CrossRef] [Green Version]
- Engle, S.; Stromme, J.; Zhou, A. Staying at Home: Mobility Effects of COVID-19. SSRN Electron. J. 2020. [Google Scholar] [CrossRef]
- Ekpanyaskul, C.; Padungtod, C. Occupational Health Problems and Lifestyle Changes Among Novice Working-From-Home Workers Amid the COVID-19 Pandemic. Saf. Health Work 2021. [Google Scholar] [CrossRef]
- McCollum, A.M.; Li, Y.; Wilkins, K.; Karem, K.L.; Davidson, W.B.; Paddock, C.D.; Reynolds, M.G.; Damon, I.K. Poxvirus viability and signatures in historical relics. Emerg. Infect. Dis. 2014, 20, 177–184. [Google Scholar] [CrossRef] [PubMed]
- Kermack, W.O.; McKendrick, A.G. A contributions to the mathematical theory of epidemics. Proc. R. Soc. Lond. Ser. A 1927, 115, 700–721. [Google Scholar]
- Cui, J.-A.; Tao, X.; Zhu, H. An SIS infection model incorporating media coverage. Rocky Mt. J. Math. 2008, 38, 1323–1334. [Google Scholar] [CrossRef]
- Carcione, J.M.; Santos, J.E.; Bagaini, C.; Ba, J. A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model. Front. Public Health 2020, 8. [Google Scholar] [CrossRef] [PubMed]
- Grefenstette, J.J.; Brown, S.T.; Rosenfeld, R.; Depasse, J.; Stone, N.T.B.; Cooley, P.C.; Wheaton, W.D.; Fyshe, A.; Galloway, D.D.; Sriram, A.; et al. FRED (A Framework for Reconstructing Epidemic Dynamics): An open-source software system for modeling infectious diseases and control strategies using census-based populations. BMC Public Health 2013, 13, 940. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Brockmann, D.; David, V.; Gallardo, A.M. Human Mobility and Spatial Disease Dynamics. In Diffusion Fundamentals III; Leipziger Universitätsverlag: Leipzig, Germany, 2009. [Google Scholar] [CrossRef] [Green Version]
- Keeling, M.J.; Eames, K.T.D. Networks and epidemic models. J. R. Soc. Interface 2005, 2, 295–307. [Google Scholar] [CrossRef] [Green Version]
- Heesterbeek, J.A.P. A Brief History of R 0 and a Recipe for its Calculation. Acta Biotheor. 2002, 50, 189–204. [Google Scholar] [CrossRef]
- Pellis, L.; Ball, F.; Trapman, P. Reproduction numbers for epidemic models with households and other social structures. I. Definition and calculation of R 0. Math. Biosci. 2012, 235, 85–97. [Google Scholar] [CrossRef]
- Dietz, K. The estimation of the basic reproduction number for infectious diseases. Stat. Methods Med. Res. 1993, 2, 23–41. [Google Scholar] [CrossRef]
- Denphedtnong, A.; Chinviriyasit, S.; Chinviriyasit, W. On the dynamics of SEIRS epidemic model with transport-related infection. Math. Biosci. 2013, 245, 188–205. [Google Scholar] [CrossRef] [PubMed]
- Nakata, Y. On the global stability of a delayed epidemic model with transport-related infection. Nonlinear Anal. Real World Appl. 2011, 12, 3028–3034. [Google Scholar] [CrossRef]
- Chen, Y.; Yan, M.; Xiang, Z. Transmission dynamics of a two-city SIR epidemic model with transport-related infections. J. Appl. Math. 2014, 2014. [Google Scholar] [CrossRef]
- Nakata, Y.; Röst, G. Global analysis for spread of infectious diseases via transportation networks. J. Math. Biol. 2015, 70, 1411–1456. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Takeuchi, Y.; Liu, X.; Cui, J. Global dynamics of SIS models with transport-related infection. J. Math. Anal. Appl. 2007, 329, 1460–1471. [Google Scholar] [CrossRef] [Green Version]
- Xu, F.; Mccluskey, C.C.; Cressman, R. Spatial spread of an epidemic through public transportation systems with a hub. Math. Biosci. 2013, 246, 164–175. [Google Scholar] [CrossRef]
- Frias-Martinez, E.; Williamson, G.; Frias-Martinez, V. An agent-based model of epidemic spread using human mobility and social network information. In Proceedings of the 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, Boston, MA, USA, 9–11 October 2011. [Google Scholar]
- Sato, A.H.; Ito, I.; Sawai, H.; Iwata, K. An epidemic simulation with a delayed stochastic SIR model based on international socioeconomic-technological databases. In Proceedings of the 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, USA, 29 October–1 November 2015; pp. 2732–2741. [Google Scholar] [CrossRef]
- Cooley, P.; Brown, S.; Cajka, J.; Chasteen, B.; Ganapathi, L.; Grefenstette, J.; Hollingsworth, C.R.; Lee, B.Y.; Levine, B.; Wheaton, W.D.; et al. The role of subway travel in an influenza epidemic: A New York city simulation. J. Urban Health 2011, 88, 982–995. [Google Scholar] [CrossRef] [Green Version]
- Guerra, F.M.; Bolotin, S.; Lim, G.; Heffernan, J.; Deeks, S.L.; Li, Y.; Crowcroft, N.S. The basic reproduction number (R0) of measles: A systematic review. Lancet 2017, 17, 420–428. [Google Scholar] [CrossRef]
- Marangi, L.; Mirinaviciute, G.; Flem, E.; Tomba, G.S.; Guzzetta, G.; De Blasio, B.F.; Manfredi, P. The natural history of varicella zoster virus infection in Norway: Further insights on exogenous boosting and progressive immunity to herpes zoster. PLoS ONE 2017, 12, e0176845. [Google Scholar] [CrossRef] [PubMed]
- Gani, R.; Leach, S. Transmission potential of smallpox in contemporary populations. Nature 2001, 414, 748–751. [Google Scholar] [CrossRef]
- Ferguson, N.M.; Cummings, D.A.T.; Fraser, C.; Cajka, J.C.; Cooley, P.C.; Burke, D.S. Strategies for mitigating an influenza pandemic. Nature 2006, 442, 448–452. [Google Scholar] [CrossRef]
- Fraser, C.; Donnelly, C.A.; Cauchemez, S.; Hanage, W.P.; Van Kerkhove, M.D.; Hollingsworth, T.D.; Griffin, J.; Baggaley, R.F.; Jenkins, H.E.; Lyons, E.J.; et al. Pandemic potential of a strain of influenza A (H1N1): Early findings. Science 2009, 324, 1557–1561. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chowell, G.; Castillo-Chavez, C.; Fenimore, P.W.; Kribs-Zaleta, C.M.; Arriola, L.; Hyman, J.M. Model parameters and outbreak control for SARS. Emerg. Infect. Dis. 2004, 10, 1258–1263. [Google Scholar] [CrossRef]
- Sanche, S.; Lin, Y.T.; Xu, C.; Romero-Severson, E.; Hengartner, N.; Ke, R. High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2. Emerg. Infect. Dis. 2020, 26, 1470–1477. [Google Scholar] [CrossRef] [PubMed]
- Kucharski, A.J.; Althaus, C.L. The role of superspreading in middle east respiratory syndrome coronavirus (Mers-CoV) transmission. Eurosurveillance 2015, 20, 21167. [Google Scholar] [CrossRef]
- Nakamura, H.; Managi, S. Airport risk of importation and exportation of the COVID-19 pandemic. Transp. Policy 2020, 96, 40–47. [Google Scholar] [CrossRef] [PubMed]
- Qian, H.; Miao, T.; LIU, L.; Zheng, X.; Luo, D.; Li, Y. Indoor transmission of SARS-CoV-2. medRxiv 2020. [Google Scholar] [CrossRef]
- Zhao, S.; Zhuang, Z.; Ran, J.; Lin, J.; Yang, G.; Yang, L.; He, D. The association between domestic train transportation and novel coronavirus (2019-nCoV) outbreak in China from 2019 to 2020: A data-driven correlational report. Travel Med. Infect. Dis. 2020, 33, 2019–2021. [Google Scholar] [CrossRef]
- Zheng, R.; Xu, Y.; Wang, W.; Ning, G.; Bi, Y. Spatial transmission of COVID-19 via public and private transportation in China. Travel Med. Infect. Dis. 2020, 34, 101626. [Google Scholar] [CrossRef]
- Zhang, Y.; Zhang, A.; Wang, J. Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China. Transp. Policy 2020, 94, 34–42. [Google Scholar] [CrossRef]
- Olsen, S.J.; Chang, H.L.; Cheung, T.Y.Y.; Tang, A.F.Y.; Fisk, T.L.; Ooi, S.P.L.; Kuo, H.W.; Jiang, D.D.S.; Chen, K.T.; Lando, J.; et al. Transmission of the Severe Acute Respiratory Syndrome on Aircraft. N. Engl. J. Med. 2003, 349, 2416–2422. [Google Scholar] [CrossRef] [PubMed]
- Chen, J.; He, H.; Cheng, W.; Liu, Y.; Sun, Z.; Chai, C.; Kong, Q.; Sun, W.; Zhang, J.; Guo, S.; et al. Potential transmission of SARS-CoV-2 on a flight from Singapore to Hanghzou, China: An epidemiological investigation. Travel Med. Infect. Dis. 2020, 36, 101816. [Google Scholar] [CrossRef] [PubMed]
- Nakazawa, E.; Ino, H.; Akabayashi, A. Chronology of COVID-19 cases on the Diamond Princess cruise ship and ethical considerations: A report from Japan. Disaster Med. Public Health Prep. 2020, 1–8. [Google Scholar] [CrossRef] [Green Version]
- Russo, F.; Rindone, C.; Trecozzi, M.R. The role of training in evacuation. In WIT Transactions on Information and Communication Technologies; WIT Press: Southampton, UK, 2012; Volume 44, pp. 491–502. [Google Scholar]
- Barrero, R.; Van Mierlo, J.; Tackoen, X. Energy savings in public transport. IEEE Veh. Technol. Mag. 2008, 3, 26–36. [Google Scholar] [CrossRef]
- Kenworthy, J.R. Reducing Passenger Transport Energy Use in Cities: A Comparative Perspective on Private and Public Transport Energy Use in American, Canadian, Australian, European and Asian Cities. In Urban Energy Transition; Elsevier: Amsterdam, The Netherlands, 2018; pp. 169–204. [Google Scholar]
- World Health Organization (WHO). Pneumonia of Unknown Cause Reported to WHO China Office; World Health Organization: Geneva, Switzerland, 2019. [Google Scholar]
- National Bureau of Statistics of China (NBS) Passenger and Freight Traffic. Available online: http://www.stats.gov.cn/english/ (accessed on 25 June 2020).
- Wu, J.T.; Leung, K.; Leung, G.M. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: A modelling study. Lancet 2020, 395, 689–697. [Google Scholar] [CrossRef] [Green Version]
- Ministero delle Infrastrutture e dei Trasporti Coronavirus, Prorogati i Decreti per Far Fronte All’Emergenza. Available online: http://www.mit.gov.it/comunicazione/news/coronavirus/coronavirus-prorogati-i-decreti-per-far-fronte-allemergenza (accessed on 25 June 2020).
- France24. France’s Coronavirus Lockdown: What You Can and Can’t Do; France24: Paris, France, 2020. [Google Scholar]
- gov.pl Zamykamy Granice Przed Koronawirusem. Available online: https://www.gov.pl/web/koronawirus/zamykamy-granice-przed-koronawirusem (accessed on 25 June 2020).
- Minister Zdrowia Rozporządzenie Ministra Zdrowia zmieniające rozporządzenie w sprawie ogłoszenia na obszarze Rzeczypospolitej Polskiej stanu epidemii. Dz. Ustaw RP 2020. Available online: https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20200000491 (accessed on 25 June 2020).
- Live Mint Delhi Lockdown to Start at 6 am Monday, until 31 March: Kejriwal. Available online: https://www.livemint.com/news/india/delhi-lockdown-to-start-at-6-am-monday-until-31-march-kejriwal-11584881955813.html (accessed on 25 June 2020).
- Transformative Urban Mobility Initiative TUMI. The COVID-19 Outbreak and Imp4lications to 4—Some Observations. Transformative Urban Mobility Initiative TUMI, 2020; Available online: https://www.transformative-mobility.org/news/the-covid-19-outbreak-and-implications-to-public-transport-some-observations (accessed on 25 June 2020).
- Sun, L.; Axhausen, K.W.; Lee, D.H.; Huang, X. Understanding metropolitan patterns of daily encounters. Proc. Natl. Acad. Sci. USA 2013, 110, 13774–13779. [Google Scholar] [CrossRef] [Green Version]
- Sun, L.; Axhausen, K.W.; Lee, D.H.; Cebrian, M. Efficient detection of contagious outbreaks in massive metropolitan encounter networks. Sci. Rep. 2014, 4, 5099. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Google Mobility Changes. Available online: https://www.google.com/covid19/mobility/ (accessed on 30 July 2020).
- WHO. Coronavirus Disease (COVID-2019) Situation Reports; WHO: Geneva, Switzerland, 2020. [Google Scholar]
- Straphangers Report Packed Subways on Day 2 of Reduced MTA Service. New York Post. Available online: https://nypost.com/2020/03/26/straphangers-report-packed-subways-on-day-2-of-reduced-mta-service/ (accessed on 25 June 2020).
- MTA Worker Coronavirus Death Toll Hits 123. New York Post. Available online: https://nypost.com/2020/05/20/mta-worker-coronavirus-death-toll-hits-123/ (accessed on 25 June 2020).
- Hromadske International Ukrainian Government Presents Its Lockdown Exit Strategy. Kyiv Post. Available online: https://en.hromadske.ua/posts/new-coronavirus-strategy-reveals-ukraines-public-transport-wont-be-fully-restored-until-june-july (accessed on 25 June 2020).
- Reuters Serbia to Restart Public Transport as Lockdown Eases. Available online: https://www.reuters.com/article/health-coronavirus-serbia/serbia-to-restart-public-transport-as-lockdown-eases-idUSL5N2CG712 (accessed on 25 June 2020).
- Sante Publique France. COVID-19: Point Épidémiologique du 4 Juin 2020; Sante Publique France: Paris, France, 2020; Available online: https://www.santepubliquefrance.fr/maladies-et-traumatismes/maladies-et-infections-respiratoires/infection-a-coronavirus/documents/bulletin-national/covid-19-point-epidemiologique-du-4-juin-2020 (accessed on 25 June 2020).
- Mayor of London Review into Coronavirus Infections and Deaths among Bus Workers. Available online: https://tfl.gov.uk/info-for/media/press-releases/2020/may/review-into-coronavirus-infections-and-deaths-among-bus-workers (accessed on 25 June 2020).
- Mirror. Coronavirus: London Tube Passengers Still Cramming into Busy Trains Despite UK Lockdown. Available online: https://www.mirror.co.uk/news/uk-news/coronavirus-london-tube-still-full-21743272 (accessed on 25 June 2020).
- The Sydney Morning Herald Shame about the Cars, but Premier is Right to be Cautious about Public Transport. Available online: https://www.smh.com.au/politics/nsw/shame-about-the-cars-but-premier-is-right-to-be-cautious-about-public-transport-20200518-p54txr.html (accessed on 25 June 2020).
- The Diplomat Japan’s COVID-19 State of Emergency Is No Lockdown. What’s In It? Available online: https://abcnews.go.com/International/wireStory/japans-state-emergency-lockdown-70037511 (accessed on 25 June 2020).
- Sick MTA Workers Forced Massive Subway Cancelations during Coronavirus Peak. New York Post. Available online: https://nypost.com/2020/05/21/sick-mta-workers-caused-subway-cancelations-during-coronavirus-peak/ (accessed on 25 June 2020).
- Aloi, A.; Alonso, B.; Benavente, J.; Cordera, R.; Echániz, E.; González, F.; Ladisa, C.; Lezama-Romanelli, R.; López-Parra, Á.; Mazzei, V.; et al. Effects of the COVID-19 lockdown on urban mobility: Empirical evidence from the city of Santander (Spain). Sustainability 2020, 12, 3870. [Google Scholar] [CrossRef]
- Stetzenbach, L.D. Airborne Infectious Microorganisms. Encycl. Microbiol. 2009, 175–182. [Google Scholar] [CrossRef]
- Morawska, L.; Johnson, G.R.; Ristovski, Z.D.; Hargreaves, M.; Mengersen, K.; Corbett, S.; Chao, C.Y.H.; Li, Y.; Katoshevski, D. Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities. J. Aerosol Sci. 2009, 40, 256–269. [Google Scholar] [CrossRef] [Green Version]
- Li, Y.; Leung, G.M.; Tang, J.W.; Yang, X.; Chao, C.Y.H.; Lin, J.Z.; Lu, J.W.; Nielsen, P.V.; Niu, H.Q.; Sleigh, A.C.; et al. Role of ventilation in airborne transmission of infectious agents in the built environment—A multidisciplinary systematic review. Indoor Air 2007, 17, 2–18. [Google Scholar] [CrossRef]
- World Health Organization (WHO). Infection Prevention and Control of Epidemic- and Pandemic-Prone Acute Respiratory Infections in Health Care; World Health Organization: Geneva, Switzerland, 2014. [Google Scholar]
- Vuorinen, V.; Aarnio, M.; Alava, M.; Alopaeus, V.; Atanasova, N.; Auvinen, M.; Balasubramanian, N.; Bordbar, H.; Erästö, P.; Grande, R.; et al. Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors. Saf. Sci. 2020, 130, 104866. [Google Scholar] [CrossRef] [PubMed]
- Wells, W.F.; Stone, W.R. On air-borne infection: Study III. Viability of droplet nuclei infection. Am. J. Epidemiol. 1934, 20, 619–627. [Google Scholar] [CrossRef]
- Duguid, J.P. The size and the duration of air-carriage of respiratory droplets and droplet-nuclei. J. Hyg. 1946, 44, 471–479. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Zhang, H.; Li, D.; Xie, L.; Xiao, Y. Documentary Research of Human Respiratory Droplet Characteristics. Procedia Eng. 2015, 121, 1365–1374. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Moser, M.R.; Bender, T.R.; Margolis, H.S.; Noble, G.R.; Kendal, A.P.; Ritter, D.G. An outbreak of influenza aboard a commercial airliner. Am. J. Epidemiol. 1979, 110, 1–6. [Google Scholar] [CrossRef]
- WHO. Consensus Document on the Epidemiology of Severe Acute Respiratory Syndrome (SARS); World Health Organization: Geneva, Switzerland, 2003. [Google Scholar]
- Marsden, A.G. Outbreak of influenza-like illness related to air travel. Med. J. Aust. 2003, 179, 172–173. [Google Scholar] [CrossRef]
- Mangili, A.; Gendreau, M. Transmission of infectious diseases during commercialair travel. Lancet 2005, 365, 989–996. [Google Scholar] [CrossRef]
- World Health Organization (WHO). Infection prevention andcontrol of epidemic- andpandemic-prone acuterespiratory diseases inhealth care. In Infection Prevention and Control of Epidemic- and Pandemic-Prone Acute Respiratory Infections in Health Care; World Health Organization: Geneva, Switzerland, 2007; Volume 6, pp. 1–90. [Google Scholar]
- National Research Council NRC. The Airliner Cabin Environment and the Health of Passengers and Crew; National Research Council: Ottawa, ON, Canada, 2002.
- Nardell, E.A.; Keegan, J.; Cheney, S.A.; Etkind, S.C. Airborne Infection: Theoretical Limits of Protection Achievable by Building Ventilation. Am. Rev. Respir. Dis. 1991, 144, 302–306. [Google Scholar] [CrossRef]
- WHO. Tuberculosis and Air Travel: Guidelines for Prevention and Control; WHO: Geneva, Switzerland, 1998. [Google Scholar]
- Wilder-Smith, A.; Leong, H.N.; Villacian, J.S. In-flight transmission of Severe Acute Respiratory Syndrome (SARS): A Case Report. J. Travel Med. 2006, 10, 299–300. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Perz, J.F.; Craig, A.S.; Schaffner, W. Mixed outbreak of parainfluenza type 1 and influenza B associated with tourism and air travel. Int. J. Infect. Dis. 2001, 5, 189–191. [Google Scholar] [CrossRef] [Green Version]
- Slater, P.; Anis, E.; Bashary, A. An outbreak of measles associated with a New York/Tel Aviv flight. Travel Med. Int. 1995, 13, 92–95. [Google Scholar]
- Goscé, L.; Johansson, A. Analysing the link between public transport use and airborne transmission: Mobility and contagion in the London underground. Environ. Health 2018, 17, 1–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Troko, J.; Myles, P.; Gibson, J.; Hashim, A.; Enstone, J.; Kingdon, S.; Packham, C.; Amin, S.; Hayward, A.; Van-Tam, J.N. Is public transport a risk factor for acute respiratory infection? BMC Infect. Dis. 2011, 11, 16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Maurice, P.; Lavoie, M.; Laflamme, L.; Svanstrom, L.; Romer, C.; Anderson, R. Safety and safety promotion: Definitions for operational developments. Inj. Control Saf. Promot. 2001, 8, 237–240. [Google Scholar] [CrossRef]
- Jamroz, K. Metoda Zarządzania Ryzykiem w Inżynierii Drogowej; Politechnika Gdańska: Gdańsk, Poland, 2011. [Google Scholar]
- Ulbig, E.; Hertel, R.; Böl, G.-F. Evaluation of Communication on the Differences between “Risk ” and “ Hazard” Project Implementation; Federal Institute for Risk Assessment Risk: Berlin, Germany, 2010; ISBN 3938163526. [Google Scholar]
- Lofstedt, R.E. Risk vs. Hazard how to regulate. Eur. J. Risk Regul. 2011, 2, 149–168. [Google Scholar] [CrossRef] [Green Version]
- Cova, T.J.; Conger, S. Transportation Hazards. Transp. Eng. Handb. 2003, 1–50. [Google Scholar] [CrossRef]
- Australian Government.Technical Risk Assessment Handbook. Department of Defence. 2010. Available online: https://www.dst.defence.gov.au/sites/default/files/basic_pages/documents/Technical-Risk-Assessment-Handbook_2.pdf (accessed on 25 June 2020).
- Ristic, D. Characteristics of Risk Matrices. Saf. Eng. 2013, 3, 121–127. [Google Scholar] [CrossRef]
- World Health Organization (WHO). The International Health Regulations; World Health Organization: Geneva, Switzerland, 2016. [Google Scholar]
- World Health Organization (WHO). COVID-19 Strategy Up Date; World Health Organization: Geneva, Switzerland, 2020. [Google Scholar]
- De Vos, J. The effect of COVID-19 and subsequent social distancing on travel behavior. Transp. Res. Interdiscip. Perspect. J. 2020, 5, 100121. [Google Scholar] [CrossRef] [PubMed]
- Mo, B.; Feng, K.; Shen, Y.; Tam, C.; Li, D.; Yin, Y.; Zhao, J. Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. arXiv 2020, arXiv:2004.04602v1. [Google Scholar]
- Falchetta, G.; Noussan, M. The Impact of COVID-19 on Transport Demand, Modal Choices, and Sectoral Energy Consumption in Europe. IAEE Energy Forum 2020. Available online: https://www.feem.it/en/publications/external-publications/the-impact-of-covid-19-on-transport-demand-modal-choices-and-sectoral-energy-consumption-in-europe/ (accessed on 25 June 2020).
- Papandreou, T. Is the Coronavirus the Transportation Industry’s Opportunity? In A Collection of Articles on Transportation in a Post Covid-19World Assembled by IBTTA; 2020; Available online: https://www.ibtta.org/sites/default/files/documents/2020/Coronavirus/A%20Collection%20of%20Articles%20on%20Transportation%20in%20a%20Post%20Covid-19%20World%202020.04.28.pdf (accessed on 25 June 2020).
- European Centre for Disease Prevention and Control (ECDC). Novel Coronavirus Disease 2019 (COVID-19) Pandemic: Increased Transmission in the EU/EEA and the UK—Sixth Update; European Centre for Disease Prevention and Control: Solna, Sweden, 2020.
Strategy of Action | Characteristics |
---|---|
ST1. Preventative measures with no cases reported yet | Need to consider epidemiological hazards. No restrictions in accessing public transport but preventative measures are necessary, such as frequent vehicle disinfection. A continuous supply of personal protection equipment and disinfectants is required. |
ST2. Recommendations for passengers and increased frequency of vehicle cleaning | The objective is to increase the safety of public transport users. This strategy should be applied when the epidemiological hazard is small. In this case, the majority of services are still open and population mobility drops just because of individual choices (90% of normal activity). The strategy reduces a small number of transport services to match reduced passenger flows. |
ST3. Reduce the frequency of traffic or introduce functional restrictions on transport | The objective is to encourage people to change their transport patterns. This strategy should be applied for medium level epidemiological hazards if most workplaces continue to operate and people’s economic activity continues to some extent. In these cases, there are no drastic falls of mobility (30–50% of normal value). |
ST4. Transport system only covers essential travel for key workers | The objective is to ensure that the conurbation continues its basic functions. This strategy, when viewed with hindsight, should be considered appropriate if the epidemic hazard is serious. It should be applied when key parts of the economy continue to operate, but other people are encouraged to stay at home or work online. In this case, people’s transport needs drop to 10–20% of normal activity. |
ST5. Complete closure of transport system | This strategy, when viewed with hindsight and based on the experience from the other strategies, should be considered too restrictive if applied commonly. It may only be applied when the economy comes to an almost complete stop and people’s transport use needs drop to nearly zero. |
RISK | Consequences of Infection | ||||
---|---|---|---|---|---|
Insignificant | Low | Serious | Catastrophic | ||
Probability of infection | frequent | medium (ST3) | medium (ST3) | high (ST4) | very high (ST5) |
likely | low (ST2) | medium (ST3) | high (ST4) | high (ST4) | |
sporadic | slight (ST1) | low (ST2) | medium (ST3) | high (ST4) | |
rare | slight (ST1) | slight (ST1) | low (ST2) | medium (ST3) |
Risk Indicators | Alert Level | Measures | |||||
---|---|---|---|---|---|---|---|
Disease Dynamic | Health Care System | Disease Control | Economic Situation | Social Situation | Community | Transportation | |
extremely high burden, many outbreaks | overloaded healthcare, shortage of medical workers | very limited ability to isolate cases and quarantine contacts | un-manageable | irreversible | High | controlled essential services and travel outside home, only telemedicine, schools closed (e-learning), no mass gatherings, no visits to nursing homes, recreation closed | none, private transport only |
high burden, many outbreaks | limited capacity of healthcare, many infections among care workers | limited ability to isolate cases and quarantine contacts | very stressed but manageable | policy support highly required | Medium high | only essential services, only essential travel outside home, only telemedicine, schools closed (e-learning), no mass gatherings, no visits to nursing homes, recreation closed | strong restrictions |
moderate burden, few outbreaks | same capacity, same infections among care workers | same ability to isolate cases and quarantine contacts | stressed but manageable | requiring policy support | Moderate | only essential travel outside home, safety precautions at work, health care services (telemedicine, essential and chronic care), schools closed (e-learning), restaurants closed (pick-up only), limited mass gatherings, recreation closed | minor restrictions |
low burden, rare outbreaks | full capacity, rare infections among care workers | ability to isolate cases and quarantine contacts | managing | reversible | Low | some safety measures at work, health care services, education, mass gatherings, recreation | full with reinforcements |
rare cases | full capacity, no infections among care workers | ability to isolate all cases and quarantine contacts | managing | almost no stress | New normal | minimal safety measures at work, health care services, education, mass gatherings, recreation | full |
no cases | standard | no control | normal | no stress | Normal | no safety measures | full |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Budzynski, M.; Luczkiewicz, A.; Szmaglinski, J. Assessing the Risk in Urban Public Transport for Epidemiologic Factors. Energies 2021, 14, 4513. https://doi.org/10.3390/en14154513
Budzynski M, Luczkiewicz A, Szmaglinski J. Assessing the Risk in Urban Public Transport for Epidemiologic Factors. Energies. 2021; 14(15):4513. https://doi.org/10.3390/en14154513
Chicago/Turabian StyleBudzynski, Marcin, Aneta Luczkiewicz, and Jacek Szmaglinski. 2021. "Assessing the Risk in Urban Public Transport for Epidemiologic Factors" Energies 14, no. 15: 4513. https://doi.org/10.3390/en14154513
APA StyleBudzynski, M., Luczkiewicz, A., & Szmaglinski, J. (2021). Assessing the Risk in Urban Public Transport for Epidemiologic Factors. Energies, 14(15), 4513. https://doi.org/10.3390/en14154513