Socially Sustainable Accessibility to Goods and Services in the Metropolitan Area of Concepción, Chile, Post-COVID-19
Abstract
:1. Introduction
2. Literature Review
2.1. Accessibillity
2.2. Dimension of Accessibility in the Analysis of Sustainable Urban Forms
2.3. Accessible Neighborhoods
2.4. Use of Geomarketing to Conduct Spatial Accessibility Analysis
Spatial Analysis: Delimitation of Market Areas
2.5. Geographic Information Systems as a Tool during a Sanitary Crisis
3. Materials and Methods
3.1. Case Study: Description of the Experimental Area
3.2. Data Used: Alphanumeric and Geographic Data
3.3. Geospatial Analysis: GIS Analysis through Geo Processes
3.4. Processes and Indicator Collection
4. Results
4.1. Delimitation of Real Accessibility Based on the Preferences Declared by Citizens
4.1.1. Real Accessibility to Goods and Services Pre-Pandemic
4.1.2. Real Accessibility to Goods and Services in the Pandemic
4.1.3. Comparative Synthesis between Both Periods
4.2. Delimitation of Areas of Spatial Satisfaction Declared by the Citizens
4.3. Comparative Synthesis between Periods
5. Discussion
5.1. Contributions to the Current Knowledge
5.2. Indicator of Real Accessibility
5.3. Indicator of Spatial Satisfaction
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Geoprocess | Description | Input | Output |
---|---|---|---|
Accessibility PCBS Offer | Evaluates and delimits, in a real way, the spatial accessibility generated only by the infrastructure by type that offers goods and services of primary necessity used by the inhabitants. | Type of activity according to temporal frequency and analysis period (before or during the pandemic) | Map view, report files, and ArcGIS layers |
Level Satisfaction | Estimates and delimits, in a real way, the satisfaction area according to the walk mode no more than 400 m from the facilities that offer goods and services in a territorial unit of analysis | Demanding households according to time frequency and analysis period (before or during the pandemic) that use the walk mode to places no more than 400 m away and declare a state of satisfaction | Map view, report files, ArcGIS layers |
Analyzed Works | Geographic Area | Case of Use | Objective | Tools and Techniques | Period Analyzed | Data Topics |
---|---|---|---|---|---|---|
COVID0359 | Local, regionally scalable | Real case, possibility of simulating future scenarios | Support urban design based on accessibility and satisfaction indicators | Spatial statistics, network analyst | Pre-pandemic, during pandemic | Mobility, demographic, accessibility, satisfaction (survey) |
Orea and Álvarez, 2021 [77] | National | Real case, simulated scenario | Analyze the effectiveness of the measures adopted to stop the spread of the epidemic | Spatial statistics, correlations | During pandemic, quarantine and non-quarantine | Confirmed cases, mobility |
Rahman et al., 2021 [95] | Local | Real case | Examine the relationship between air quality indicators and disease transmission | Remote detection, correlations | During pandemic, quarantine and non-quarantine | Confirmed cases, contamination |
Chen et al., 2020 [78] | Provincial | Real case | Determine the correlation between distribution of cases and emigration from Wuhan | Spatial statistics, correlations | During pandemic | Confirmed cases, suspected cases, deaths |
Sajadi et al., 2020 [79] | Global | Real case | Examine association between climate and spread of the epidemic | Spatial statistics, correlations | During pandemic | Climate, confirmed cases |
Dong Du and Gardner, 2020 [93] | Global | Real case | View and track cases | Web maps | During pandemic | Confirmed cases, deaths, people recovered |
Zecca et al., 2020 [19] | Local | Real case, simulated scenario | Compare pedestrian flows and accessibility before and during epidemic | Network analysis | Pre-pandemic, during pandemic | Accessibility (survey), infrastructure, mobility |
Shadeed and Alawna, 2021 [96] | Provincial | Real case | Determine which populations are most vulnerable in order to take appropriate actions | Multi criteria, risk map | During pandemic | Infrastructure, demographics, confirmed cases |
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Núñez, F.; Albornoz, E.; Gutiérrez, M.; Zumelzu, A. Socially Sustainable Accessibility to Goods and Services in the Metropolitan Area of Concepción, Chile, Post-COVID-19. Sustainability 2022, 14, 14042. https://doi.org/10.3390/su142114042
Núñez F, Albornoz E, Gutiérrez M, Zumelzu A. Socially Sustainable Accessibility to Goods and Services in the Metropolitan Area of Concepción, Chile, Post-COVID-19. Sustainability. 2022; 14(21):14042. https://doi.org/10.3390/su142114042
Chicago/Turabian StyleNúñez, Francisco, Elías Albornoz, Mariella Gutiérrez, and Antonio Zumelzu. 2022. "Socially Sustainable Accessibility to Goods and Services in the Metropolitan Area of Concepción, Chile, Post-COVID-19" Sustainability 14, no. 21: 14042. https://doi.org/10.3390/su142114042
APA StyleNúñez, F., Albornoz, E., Gutiérrez, M., & Zumelzu, A. (2022). Socially Sustainable Accessibility to Goods and Services in the Metropolitan Area of Concepción, Chile, Post-COVID-19. Sustainability, 14(21), 14042. https://doi.org/10.3390/su142114042