Public transport accessibility to hospitals in the city of Córdoba: a comparative analysis in times of a pandemic (2019-2021)

Authors

DOI:

https://doi.org/10.32358/rpd.2022.v8.589

Keywords:

urban mobility, accessibility, public hospitals

Abstract

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.

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Author Biographies

Lucila Martinazzo, Universidad Nacional de Córdoba

Graduated in Engineering from the National University of Cordoba (ARG) (2017), Master's in Engineering Sciences - Transport Mention from the National University of Cordoba (ARG) (2018). Lucila is an Assistant Professor at the Universidad Nacional de Cordoba.

Claudio Falavigna, Universidad Nacional de Córdoba

He holds a degree in Civil Engineering from the National University of Cordoba (ARG) (2006), a Master's in Engineering Sciences - Transport Mention from the National University of Cordoba (ARG) (2009) and a PhD in the Transport Engineering Program at COPPE/UFRJ (2015). ). He is currently an Assistant Professor at the Instituto de Investigación y Formación en Administración Pública (IIFAP) and at the Masters in Transport Engineering at the Universidad Nacional de Cordoba.

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

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Published

2022-02-02

How to Cite

Martinazzo, L., & Falavigna, C. (2022). Public transport accessibility to hospitals in the city of Córdoba: a comparative analysis in times of a pandemic (2019-2021). Revista Produção E Desenvolvimento, 8(1), e589. https://doi.org/10.32358/rpd.2022.v8.589

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Section

Territorial Affairs