Safe City

Safe City

Evaluation the per capita availability level of services land uses with the approach of enhancing resilience against Covid-19 (case study: Tehran metropolitan area)

Document Type : Original Article

Authors
1 Department of Urban Planning, Faculty of Architecture and Urban Planning, Isfahan Art University, Isfahan, Iran.
2 Department of Urban Planning, Faculty of Art and Architecture, Shiraz University, Shiraz, Ira
Abstract
Introduction
Coronavirus disease 2019 (COVID-19), assessed by the United Nations as the biggest challenge facing the whole human since the World War II, has triggered extensive scientific research from various perspectives. Urban characteristics, such as city size, density, geographic distance to the domestic epicenter and health infrastructure, have large impacts on resilience of a city against the outbreak of COVID-19 pandemic. While infectious diseases have occurred with increasing frequencies in cities in recent decades, there is still significant knowledge shortage concerning the role of urban characteristics in city’s epidemic resilience. In an urban resilience perspective, urban preparedness and emergency governance for infectious diseases has shown many loopholes and difficulties facing the challenge of COVID-19. Deeper understanding of urban resilience for health urgency events can not only help to guide post-disaster socioeconomic recovery, but also inform key factors and issues necessary to be taken care of for the next coming pandemic disasters. Different with natural disasters whose durations are usually not in the hand of human control, pandemic disaster impacts vary greatly in time duration depending on urban preparedness and intervention measures. The differences can be attributed to factors including population density and connectivity, emergency data and governance capability, information validation and dissemination, as well as citizen and community engagement. Comparative studies of COVID-19 situation across cities can add knowledge to the resilience framework regarding pandemic mitigation measures. Such evaluations would help city planners, policy-makers, and managers to understand better the current resilience level of cities against pandemic disasters. To provide empirical knowledge on factors that affecting a city’s pandemic disaster resilience, this paper analyzes the effects of service availability on the urban resilience against Covid-19 in Tehran city.
Methodology
The method of this research is based an applied type and descriptive-analytical approach with quantitative techniques. Data and information in this research were obtained using two library-documentary and field methods; In order to compile research literature and extract components and indicators, library-documentary studies including related books and articles. The data extracted through field observations in the form of interviews with the expert community (including 10 experts for weighting and prioritizing indicators) and per capita service uses extracted from the detailed plans of the 22 districts of Tehran were obtained. The indicators used in this research included 8 commercial, sports, recreational, health-treatment, park and green space, administrative, cultural and educational services. Finally, data analysis has been done using the combined SWARA-COPRAS model.
Results and discussion
The results show that there is no justice in the provision of service uses per capita in the regions of Tehran, and the system of having these types of land uses and the inequality coefficient are severe in the 22 districts of Tehran; The three districts 22, 1 and 3 of the city have the highest number of service per capita, so it can be said that these areas are more self-sufficient than other areas of Tehran, the residents of these areas need to travel during the outbreak of Covid-19 to provide their basic needs. This fact shows the possibility of being infected is less for these residents and also more resilience in emergency and quarantine conditions. The five districts 2, 6, 11, 19 and 12 have the second rank of having service users per capita and have an average status in terms of self-sufficiency and resilience against Covid-19. Other districts of Tehran city (including rest of the others) are in an inappropriate situation against Covid-19 with low per capita service users; The welfare of these areas is very low and the residents have to go to other areas to provide their basic and essential needs and travel more distances and more mobility, which increases the possibility of them contracting Covid-19, so it can be said that this category of districts under emergency and quarantine conditions show less resilience against Covid-19.
Conclusion
The results of this study can be a good guide for the urban management of Tehran metropolis area in order to provide the lack of per capita service users in the low-income districts and also to balance the distribution of these users in the city of Tehran in order to increase the self-sufficiency of districts and improve the resiliency of them.
Funding
There is no funding support.

Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.

Conflict of Interest
Authors declared no conflict of interest.

Acknowledgments
We are grateful to all the scientific consultants of this paper
Keywords
Subjects

 

[1]     Ahsan, M. M. (2020). Strategic decisions on urban built environment to pandemics in Turkey: Lessons from COVID-19, Journal of Urban Management, 9, 281-285. https://doi.org/10.1016/j.jum.2020.07.001
[2]     Alidadi, M. & Sharifi, A. (2022). Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review, Science of the Total Environment, 850 (158056). http://dx.doi.org/10.1016/j.scitotenv.2022.158056
[3]     Arango-Londoño, D. Ortega-Lenis, D. Moraga, P. Torres, M. & Rodríguez-Cortés, F. (2023). Spatial modeling and socioeconomic inequities of COVID-19 in the urban area of the city of Cali, Colombia, Spatial and Spatio-temporal Epidemiology, 44 (100561). https://doi.org/10.1016/j.sste.2022.100561
[4]     Arasteh, M., Pourhasanzadeh, M.H. and Baghaei, M. (2023). Investigating the Role of Non-Governmental Organizations in the Resilience of Informal Settlements of Urmia against Covid-19 Pandemic. Motaleate Shahri, 12(45), 69-82. doi: 10.34785/J011.2023.011. [in Persian].
[5]     Chen, J., Guo, X., Pan, H., & Zhong, S. (2021). What determines city’s resilience against epidemic outbreak: Evidence from China’s COVID-19 experience. Sustainable cities and society, 70, 10289
[6]     Dadashpoor, H. & Ghazaie, M. (2019). Exploring the consequences of segregation through residents' experiences: Evidence of a neighborhood in the Tehran metropolis, Cities, 95(102391). https://doi.org/10.1016/j.cities.2019.102391
[7]     Dadashpoor, H., Rostami, F. & Alizadeh, B. (2016). Is inequality in the distribution of urban facilities inequitable? Exploring a method for identifying spatial inequity in an Iranian city, Cities, 52, 159-172. http://dx.doi.org/10.1016/j.cities.2015.12.007
[8]     Das, A., Ghosh, S., Das, K., Basu, T., Dutta, I. & Das, M. (2021). Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India, Sustainable Cities and Society, 65(102577). https://doi.org/10.1016/j.scs.2020.102577
[9]     Guzmán, L. A., Fan, Y., Oviedo, D., & Aristizábal, C. a. M. (2021). COVID-19, activity and mobility patterns in Bogotá. Are we ready for a ‘15-minute city’? Travel Behaviour and Society, 24, 245–256. https://doi.org/10.1016/j.tbs.2021.04.008
[10]     Haghi, M. R. and heidarzadeh, E. (2022). An Analysis of Urban Resilience Against the Covid-19 pandemic (Case Study: Kermanshah). Motaleate Shahri, 11(42), 3-16. doi: 10.34785/J011.2022.716 [in Persian].
[11]     Hussein, H.A.A. (2022). Investigating the role of the urban environment in controlling pandemics transmission: Lessons from history, Ain Shams Engineering Journal, 13 (101785). https://doi.org/10.1016/j.asej.2022.101785
[12]     Imani Shamloo, J., Rauf Gondadi, E., Nomani, P. and tabaeezadeh, S. Y. (2024). Investigating the pattern of spending leisure time in the corona and post-corona era (case study: Tabriz city). Journal of Sustainable Urban & Regional Development Studies (JSURDS), 5(1), 91-111. https://www.srds.ir/article_195405.html. [in Persian].
[13]  Jafari, F., Asghari Zamani, A., & Soleimani Rad, E. (2023). Examining the distribution of urban services in line with spatial justice with an emphasis on population structure (Case study: Tabriz city). Journal of Urban Spatial Geography, 10(2), 237–256. https://doi.org/10.22103/JUSG.2023.2113. [in Persian].
[14]  Lak, A. Sharifi, A. Badr, S. Zali, A. Maher, A. Mostafavi, E. & Khalili, D. (2021). Spatio-temporal patterns of the COVID-19 pandemic, and place-based influential factors at the neighborhood scale in Tehran, Sustainable Cities and Society, 72 (103034). https://doi.org/10.1016/j.scs.2021.103034
[15]  Lee, W., Kima, H., Choi, H. M., Heo, S., Fong. K. C., Yang, J., … Bell, M. L. (2021). Urban environments and COVID-19 in three Eastern states of the United States, Science of the Total Environment, 779 (146334). https://doi.org/10.1016/j.scitotenv.2021.146334
[16]  Madhav, N. Oppenheim, B. Gallivan, M. Mulembakani, P. Rubin, E. & Wolfe, N. (2017).Pandemics: risks, impacts, and mitigation dis control priorities, 3rd ed., vol. 9. https://doi.org/10.1596/978-1-4648-0527-1_ch17
[17]  Majewska, A., Denis, M., Jarecka-Bidzińska, E., Jaroszewicz, J., & Krupowicz, W. (2022). Pandemic resilient cities: Possibilities of repairing Polish towns and cities during COVID-19 pandemic. Land Use Policy, 113, 105904. https://doi.org/10.1016/j.landusepol.2021.105904
[18]  Martı'nez, J. (2009). The use of GIS and indicators to monitor intra-urban inequalities. A case study in Rosario, Argentina, Habitat International, 23, 387-396. https://doi:10.1016/j.habitatint.2008.12.003
[19]  mashoudi sani joybari, H., Shakoor, A., Delmanian, A. and Babayi elyasi, M. (2024). Measuring and Analyzing Spatial Justice in the Distribution of Service Uses at the Level of Urban Neighborhoods (Case Study: Neighborhoods of Distict 5 of Rasht City). Human Geography Research, 56(2), 97-112. doi: 10.22059/jhgr.2023.352932.1008572. [in Persian].
[20]  Mohammadi, C., Mohammadi, S., & Davari, S. E. (2021). Measuring and analyzing spatial justice of urban service land uses (Case study: Neighborhoods of District 2, Ardabil city). Environmental Planning, 14(53), 43–66. https://journals.iau.ir/article_685303.html. [in Persian].
Nijman, J. & Wei, Y. D. (2020). Urban inequalities in the 21st century economy, Applied Geography,
[22]     Oskouee Aras, A., Nikdel Monavvar, A., Babaei Aghdam, F. and Teymuri, I. (2024). Spatial analysis of the physical quality of housing in formal and informal settlements (case study: Zone 1 of Tabriz metropolis). Remote Sensing and GIS Applications in Environmental Sciences, 3(9), 62-38. doi: 10.22034/rsgi.2024.60161.1061 [in Persian].
[23]     Salehnia, N. and Fasihian, N. (1400). Investigating the effects of Covid-19 on the quality of urban services in the Corona pandemic (green space, public transportation, urban waste), Crisis and Risk Management in Urban Development, 2(3), 33-45. https://upjournal.ir/fa/paper.php?pid=167. [in Persian].
[24]     sheykhi F, babakhani M. (2022). Post-Pandemic Urban Planning: Applying the 15-Minute City Approach in Iranian Cities (Case Study: Mehrshahr, Karaj). Urban Design Discourse a Review of Contemporary Litreatures and Theories, 3 (2):97-114. http://udd.modares.ac.ir/article-40-62209-fa.html. [in Persian].
[25]     Tahmasbi, B., Mansourianfar, M. H., Haghshenas, H. & Kim, I. (2019). Multimodal accessibility-based equity assessment of urban public facilities distribution, Sustainable Cities and Society, 49(101633). https://doi.org/10.1016/j.scs.2019.101633
[26]     Taleai, M., Sliuzas, R. & Flacke, J. (2014). An integrated framework to evaluate the equity of urban public facilities using spatial multi-criteria analysis, Cities, 40, 56-69. http://dx.doi.org/10.1016/j.cities.2014.04.006
[27]     Tsou, K. W., Hung, Y. T. & Chang, Y. L. (2005). An accessibility-based integrated measure of relative spatial equity in urban public facilities, Cities, 22(6), 424–435. https://doi:10.1016/j.cities.2005.07.004
[28]     Von Seidlein, L., Alabaster, G., Deen, J. & Knudsen. J. (2021). Crowding has consequences: Prevention and management of COVID-19 in informal urban settlements, Building and Environment, 188(107472). https://doi.org/10.1016/j.buildenv.2020.107472
[29]     Weia, Y. D., Li, H. & Yue, W. (2017). Urban land expansion and regional inequality in transitional China, Landscape and Urban Planning, 163, 17-31. http://dx.doi.org/10.1016/j.landurbplan.2017.02.019
[30]  Yoosefi Matak, H. R., Salaripour, A. A., Ahmadi, H. and Saremi, H. R. (2022). The Dialectical Relationship Between the City and the Epidemic Diseases (Case Study: Covid 19). Journal of Fine Arts: Architecture & Urban Planning, 27(2), 61-72. doi: 10.22059/jfaup.2022.343056.672771. [in Persian].