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Sustainability
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Advanced Travel Demand Modelling for Sustainable Transportation
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Advanced Travel Demand Modelling for Sustainable Transportation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 26749

Special Issue Editors

Dr. Taha Hossein Rashidi

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Guest Editor
School of Civil and Environmental Engineering, University of New South Wales, Sydney 2052, Australia
Interests: land use; travel demand modelling; and econometrics
Dr. Mahdieh Allahviranloo

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Guest Editor
Department of Civil Engineering, City College of New York, 160 Convent Ave., New York, NY 10031, USA
Prof. Dr. Francesco Ciari

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Guest Editor
Department of Civil, Geological and Mining Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada
Interests: transportation planning; transportation modeling; agent-based models; shared mobility; autonomous vehicles; Mobility as a Service (MaaS); travel behavior

Special Issue Information

Dear Colleagues,

Travel demand models are developed for policy appraisal and impact assessment of changes in the behaviour of travellers, decisions of transportation providers/government agencies, and the infrastructure. These models, therefore, are tools to assist with making better financial decisions, addressing social fairness and equity concerns, or developing environmentally conscious policies where sustainability has the central focus. In response to this evolving perception of what transportation planning should take into account, advanced travel demand models, with a focus on sustainability, have evolved to account for previously neglected aspects of travellers’ choice, explicitly representing transport providers’ decisions and expanding the type and degree of transportation system changes captured by the models.

In this Special Issue, we invite submissions on the topic of Travel Demand Modelling for Sustainability to appear in the journal Sustainability. Specifically, we invite submissions contributing new, innovative models or mathematical formulations, supporting decision-making, informing policy implications, exploring behaviour through data analysis and discussing lessons learned from realistic case studies.

This Special Issue, aligning with the journal’s objective, is based on a fast track peer-review process that aims at supporting innovative research topics to incorporate sustainability measures into travel demand modelling. Papers, therefore, should be already as close as possible to publishing quality in order to allow for such an expeditious review process.

Topics of Interest

The overarching theme of this Special Issue is Advanced Travel Demand Modelling for Sustainable Transportation Planning which includes, but is not limited to, the following areas, assuming that advanced travel demand modelling is quite well known, which can include activity-based models and life-oriented behavioural as the most well-known topics:

  • Equity and fairness assessment in transportation studies
  • Sustainable transportation systems and technology
  • Emission modelling
  • Subjected well-being
  • Health and transportation
  • Energy consumption
  • Societal impacts
  • Integrated travel-demand modelling and LCA analysis
  • Socially conscious transportation models
Assoc. Prof. Dr Taha Hossein Rashidi
Dr. Mahdieh Allahviranloo
Prof. Francesco Ciari
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

27 pages, 1187 KiB  
Article
Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand
by Alessandro Severino, Larysa Martseniuk, Salvatore Curto and Larysa Neduzha
Sustainability 2021, 13(16), 8686; https://doi.org/10.3390/su13168686 - 4 Aug 2021
Cited by 27 | Viewed by 4007
Abstract
Nowadays, transport systems efficiency plays a key role for communities’ liveability and economy, being in addition an important factor in the economic integration of countries. The purpose of the article is to develop multi-stage models of tourist activities for optimizing the development of [...] Read more.
Nowadays, transport systems efficiency plays a key role for communities’ liveability and economy, being in addition an important factor in the economic integration of countries. The purpose of the article is to develop multi-stage models of tourist activities for optimizing the development of operating companies. For the implementation of models, the authors evolved the relevant system of organizational-functional support for the development of railway tourism. The research will enable us to take into consideration risks when planning tourist routes by railway, determine the order of construction or start of routes, and assess their profitability. This will provide to earn the expected incomes of all interested parties in tourist activities for the specified period. The authors created economic-mathematical models of the discrete optimal planning of the railway tourism operations. This takes into account conditions of risks and cooperation, and allows to determine which sets of effective routes are the most profitable ones. The results of the realization of the developed models include the task of the succession of the tourist route introduction according to the present and future infrastructure, availability of the rolling stock, etc. In this, consideration is given to obtaining maximum profit from tourism businesses for every participant during an established period. Full article
(This article belongs to the Special Issue Advanced Travel Demand Modelling for Sustainable Transportation)
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16 pages, 3972 KiB  
Article
Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City
by Amirhossein Baghestani, Mohammad Tayarani, Mahdieh Allahviranloo and H. Oliver Gao
Sustainability 2020, 12(9), 3655; https://doi.org/10.3390/su12093655 - 1 May 2020
Cited by 42 | Viewed by 15232
Abstract
Traffic congestion is a major challenge in metropolitan areas due to economic and negative health impacts. Several strategies have been tested all around the globe to relieve traffic congestion and minimize transportation externalities. Congestion pricing is among the most cited strategies with the [...] Read more.
Traffic congestion is a major challenge in metropolitan areas due to economic and negative health impacts. Several strategies have been tested all around the globe to relieve traffic congestion and minimize transportation externalities. Congestion pricing is among the most cited strategies with the potential to manage the travel demand. This study aims to investigate potential travel behavior changes in response to cordon pricing in Manhattan, New York. Several pricing schemes with variable cordon charging fees are designed and examined using an activity-based microsimulation travel demand model. The findings demonstrate a decreasing trend in the total number of trips interacting with the central business district (CBD) as the price goes up, except for intrazonal trips. We also analyze a set of other performance measures, such as Vehicle-Hours of Delay, Vehicle-Miles Traveled, and vehicle emissions. While the results show considerable growth in transit ridership (6%), single-occupant vehicles and taxis trips destined to the CBD reduced by 30% and 40%, respectively, under the $20 pricing scheme. The aggregated value of delay for all vehicles was also reduced by 32%. Our findings suggest that cordon pricing can positively ameliorate transportation network performance and consequently, improve air quality by reducing particular matter inventory by up to 17.5%. The results might facilitate public acceptance of cordon pricing strategies for the case study of NYC. More broadly, this study provides a robust framework for decision-makers across the US for further analysis on the subject. Full article
(This article belongs to the Special Issue Advanced Travel Demand Modelling for Sustainable Transportation)
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22 pages, 2806 KiB  
Article
An Empirical Activity Sequence Approach for Travel Behavior Analysis in Vilnius City
by Vytautas Dumbliauskas and Vytautas Grigonis
Sustainability 2020, 12(2), 468; https://doi.org/10.3390/su12020468 - 8 Jan 2020
Cited by 5 | Viewed by 2506
Abstract
The approach defines the process of conducting an empirical research of the travel behavior patterns of residents of Vilnius city. It defines survey methodology and important mobility parameters such as activity sequences and their probabilities of homogeneous urban population segments during the weekday. [...] Read more.
The approach defines the process of conducting an empirical research of the travel behavior patterns of residents of Vilnius city. It defines survey methodology and important mobility parameters such as activity sequences and their probabilities of homogeneous urban population segments during the weekday. This empirical research is based on a travel diary survey that was planned and executed in cooperation with Vilnius Municipality during preparation of sustainable mobility plan. The following work describes the research object, the questionnaire design, sampling strategy and the analysis of results based on characteristics of respondents. An innovative activity sequence-focused travel behavior research approach designed to collect data for a tour-based travel demand model. Full article
(This article belongs to the Special Issue Advanced Travel Demand Modelling for Sustainable Transportation)
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25 pages, 6466 KiB  
Article
Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava
by Jiri Horak, Jan Tesla, David Fojtik and Vit Vozenilek
Sustainability 2019, 11(24), 7098; https://doi.org/10.3390/su11247098 - 11 Dec 2019
Cited by 8 | Viewed by 3996
Abstract
Activity-based micro-scale simulation models for transport modelling provide better evaluations of public transport accessibility, enabling researchers to overcome the shortage of reliable real-world data. Current simulation systems face simplifications of personal behaviour, zonal patterns, non-optimisation of public transport trips (choice of the fastest [...] Read more.
Activity-based micro-scale simulation models for transport modelling provide better evaluations of public transport accessibility, enabling researchers to overcome the shortage of reliable real-world data. Current simulation systems face simplifications of personal behaviour, zonal patterns, non-optimisation of public transport trips (choice of the fastest option only), and do not work with real targets and their characteristics. The new TRAMsim system uses a Monte Carlo approach, which evaluates all possible public transport and walking origin–destination (O–D) trips for k-nearest stops within a given time interval, and selects appropriate variants according to the expected scenarios and parameters derived from local surveys. For the city of Ostrava, Czechia, two commuting models were compared based on simulated movements to reach (a) randomly selected large employers and (b) proportionally selected employers using an appropriate distance–decay impedance function derived from various combinations of conditions. The validation of these models confirms the relevance of the proportional gravity-based model. Multidimensional evaluation of the potential accessibility of employers elucidates issues in several localities, including a high number of transfers, high total commuting time, low variety of accessible employers and high pedestrian mode usage. The transport accessibility evaluation based on synthetic trips offers an improved understanding of local situations and helps to assess the impact of planned changes. Full article
(This article belongs to the Special Issue Advanced Travel Demand Modelling for Sustainable Transportation)
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