Public transport accessibility to hospitals in the city of Córdoba: a comparative analysis in times of a pandemic (2019-2021)
DOI:
https://doi.org/10.32358/rpd.2022.v8.589Keywords:
urban mobility, accessibility, public hospitalsAbstract
Purpose: to evaluate the potential accessibility to public hospitals between 2019 and 2021. Methodology/Approach: comparative analysis of travel times by public transport, calculated using the r5r package in R with the GTFS provided by the municipality. Findings: for the three hospital categories evaluated, travel times increased around 20% in the study period, and the most vulnerable quintiles of population increased their travel times 8 points above the less vulnerable quintiles. Research Limitation/implication: travel times were calculated with programmed schedules and frequencies and fixed values of maximum travel time and maximum walking distance. Originality/Value of paper: comparative analysis pre-COVID and during COVID of geographical accessibility to healthcare centers. Use of the r5r package that allows changes in the parameters to calculate travel times such as maximum walking distance, maximum travel time, departure time or percentiles.Downloads
References
Agbenyo, F., Marshall Nunbogu, A., & Dongzagla, A. (2017). Accessibility mapping of health facilities in rural Ghana. Journal of Transport & Health, 6, 73–83. https://doi.org/10.1016/j.jth.2017.04.010
Banco Mundial (2021) Argentina: panorama general. https://www.bancomundial.org/es/country/argentina/overview
Chen, W., Cheng, L., Chen, X., Chen, J., & Cao, M. (2021). Measuring accessibility to health care services for older bus passengers: A finer spatial resolution. Journal of Transport Geography, 93, 103068. https://doi.org/10.1016/j.jtrangeo.2021.103068
Conway, M. W., Byrd, A., y Eggermond, M. van. (2018). Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning. Journal of Transport and Land Use, 11(1), Article 1. https://doi.org/10.5198/jtlu.2018.1074
Conway, M. W., Byrd, A., y Van Ver Linden, M. (2017). Evidence-Based Transit and Land Use Sketch Planning Using Interactive Accessibility Methods on Combined Schedule and Headway-Based Networks. Transportation Research Record, 2653(1), 45-53. https://doi.org/10.3141/2653-06
Dai, D. (2010). Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. Health & Place, 16(5), 1038-1052. https://doi.org/10.1016/j.healthplace.2010.06.012
Delling, D., Pajor, T., y Werneck, R. F. (2015). Round-Based Public Transit Routing. Transportation Science, 49(3), 591-604. https://doi.org/10.1287/trsc.2014.0534
Dirección General de Estadística y Censos de la Provincia de Córdoba (2021) Conocé Córdoba. https://estadistica.cba.gov.ar/conoce-cordoba/
Farber, S., y Fu, L. (2017). Dynamic public transit accessibility using travel time cubes: Comparing the effects of infrastructure (dis)investments over time. Computers, Environment and Urban Systems, 62, 30-40. https://doi.org/10.1016/j.compenvurbsys.2016.10.005
Gage, A. J., y Calixte, M. (2006). Effects of the physical accessibility of maternal health services on their use in rural Haiti. Population Studies, 60(3), 271-288. https://doi.org/10.1080/00324720600895934
Ghorbanzadeh, M., Kim, K., Ozguven, E. E., & Horner, M. W. (2020). A comparative analysis of transportation-based accessibility to mental health services. Transportation Research Part D: Transport and Environment, 81, 102278. https://doi.org/10.1016/j.trd.2020.102278
Hiscock, R., Pearce, J., Blakely, T., y Witten, K. (2008). Is Neighborhood Access to Health Care Provision Associated with Individual-Level Utilization and Satisfaction? Health Services Research, 43(6), 2183-2200. https://doi.org/10.1111/j.1475-6773.2008.00877.x
IDERA: Infraestructura de Datos Espaciales de la República Argentina (2020) Portal de Datos de IDERA. http://catalogo.idera.gob.ar/geonetwork/srv/spa/catalog.search#/home
INDEC: Instituto Nacional de Estadística y Censos (2000) Situación y Evolución Social, n. 4. Buenos Aires.
INDEC: Instituto Nacional de Estadística y Censos (2015) Censo Nacional de Población, Hogares y Viviendas. https://redatam.indec.gob.ar/argbin/RpWebEngine.exe/PortalAction?&MODE=MAIN&BASE=CPV2010B&MAIN=WebServerMain.inl&_ga=2.75108754.1833268215.1602010042-1881977071.1602010042
INDEC: Instituto Nacional de Estadística y Censos (2021) Condiciones de vida. Vol. 5, nº 6. Indicadores de condiciones de vida de los hogares en 31 aglomerados urbanos. Segundo semestre de 2020. Buenos Aires.
Kawabata, M. (2003). Job Access and Employment among Low-Skilled Autoless Workers in US Metropolitan Areas. Environment and Planning A: Economy and Space, 35(9), 1651-1668. https://doi.org/10.1068/a35209
Kawabata, M. (2009). Spatiotemporal Dimensions of Modal Accessibility Disparity in Boston and San Francisco. Environment and Planning A: Economy and Space, 41(1), 183-198. https://doi.org/10.1068/a4068
Kawabata, M., y Shen, Q. (2006). Job Accessibility as an Indicator of Auto-Oriented Urban Structure: A Comparison of Boston and Los Angeles with Tokyo. Environment and Planning B: Planning and Design, 33(1), 115-130. https://doi.org/10.1068/b31144
Kawabata, M., y Shen, Q. (2007). Commuting Inequality between Cars and Public Transit: The Case of the San Francisco Bay Area, 1990-2000. Urban Studies, 44(9), 1759-1780. https://doi.org/10.1080/00420980701426616
Kim, K., Ghorbanzadeh, M., Horner, M. W., & Ozguven, E. E. (2021). Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida. Transport Policy, 110, 478–486. https://doi.org/10.1016/j.tranpol.2021.07.004
Li, S. (Alex), Duan, H. (Anna), Smith, T. E., & Hu, H. (2021). Time-varying accessibility to senior centers by public transit in Philadelphia. Transportation Research Part A: Policy and Practice, 151, 245–258. https://doi.org/10.1016/j.tra.2021.06.020
Neutens, T. (2015). Accessibility, equity and health care: Review and research directions for transport geographers. Journal of Transport Geography, 43, 14-27. https://doi.org/10.1016/j.jtrangeo.2014.12.006
Owen, A., y Levinson, D. (2014). Access Across America: Transit 2014 [Report]. Center for Transportation Studies, University of Minnesota. http://conservancy.umn.edu/handle/11299/168102
Owen, A., y Levinson, D. M. (2015). Modeling the commute mode share of transit using continuous accessibility to jobs. Transportation Research Part A: Policy and Practice, 74, 110-122. https://doi.org/10.1016/j.tra.2015.02.002
Penchansky, R., y Thomas, J. W. (1981). The Concept of Access: Definition and Relationship to Consumer Satisfaction. Medical Care, 19(2), 127-140.
Pereira, R. H. M., Saraiva, M., Herszenhut, D., Braga, C. K. V., y Conway, M. W. (2021a). r5r: Rapid Realistic Routing on Multimodal Transport Networks with R5 in R. Findings, 21262. https://doi.org/10.32866/001c.21262
Pereira, R. H. M., Vieira Braga, C. K., Mendes Servo, L., Serra, B., Amaral, P., Gouveia, N., Antonio Paez, A. (2021b) Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach. Social Science & Medicine, Volume 273. https://doi.org/10.1016/j.socscimed.2021.113773.
Polzin, S. E., Pendyala, R. M., y Navari, S. (2002). Development of Time-of-Day–Based Transit Accessibility Analysis Tool. Transportation Research Record, 1799(1), 35-41. https://doi.org/10.3141/1799-05
Shah, T. I., Bell, S., & Wilson, K. (2016). Spatial Accessibility to Health Care Services: Identifying under-Serviced Neighbourhoods in Canadian Urban Areas. PLOS ONE, 11(12), e0168208. https://doi.org/10.1371/journal.pone.0168208
Wan, N., Zhan, F. B., Zou, B. y Wilson, J. G. (2013). Spatial Access to Health Care Services and Disparities in Colorectal Cancer Stage at Diagnosis in Texas. The Professional Geographer, 65(3), 527-541. https://doi.org/10.1080/00330124.2012.700502
Wang, J., Du, F., Huang, J., & Liu, Y. (2020). Access to hospitals: Potential vs. observed. Cities, 100, 102671. https://doi.org/10.1016/j.cities.2020.102671
Wu, B. M., y Hine, J. P. (2003). A PTAL approach to measuring changes in bus service accessibility. Transport Policy, 10(4), 307-320. https://doi.org/10.1016/S0967-070X(03)00053-2
Published
How to Cite
Issue
Section
License
All content on this work is licensed under a Creative Commons BY Attribution 4.0 Unported license. The articles are free to use, with their CC BY attributions of license.
The journal is not responsible for the opinions, ideas and concepts emitted in the texts, as they are the sole responsibility of its author (s).
The publisher has the right to reject articles that in the evaluation process have been detected signs of plagiarism. The articles that have been detected indications of plagiarism after the publication, will be excluded from the edition. And the indication of the problem will be informed in the place of the text, keeping the same amount of pages.
This journal adopts the principles of ethical conduct of international quality Committee on Publication Ethics (COPE), as well as the parameters of Integrity in the Scientific Activity indicated by SCOPUS and SCIELO.