Modelling Local Demand and Locational Configuration in Floating Catchment Area Measures of Spatial Accessibility

Yıl 2023, Cilt: 10 Sayı: 4, 157 - 169, 26.12.2023

Frank Mahuve Beatrice Tarımo

https://doi.org/10.30897/ijegeo.1332292

Öz

The modelling of catchment-based instead of local demand and optimal instead of sub-optimal character (i.e., locational configuration) of service delivery systems, commonly done in Floating Catchment Area (FCA) measures, generate spatial accessibility indices that might be misleading. The ability of recent FCA measures, three-step (3S) FCA, Modified (M) two-step (2S) FCA, and Balanced (B) FCA to capture local demand and locational configuration was examined in hypothetical systems and Rural Wards of Dodoma Urban District and found to be less appealing. The resulting 3SFCA, M2SFCA, and BFCA spatial accessibility indices inconsistently varied with the local demand or locational configuration. Thus, the study proposed a Modified (M) 3SFCA measure to effectively capture local demand and locational configuration. The proposed M3SFCA measure was implemented in hypothetical systems and Rural Wards of Dodoma Urban District and found to generate spatial accessibility indices that logically varied with local demand and locational configuration. The service users (or households) with low local demand or closer to service providers (or water points) are characterized by higher spatial accessibility indices and vice versa. This characterization of spatial accessibility indices is more realistic and essential for effective monitoring of progress made on the global and national development goals.

Anahtar Kelimeler

Locational configuration, Local demand, Geographic Information System, Spatial accessibility, Floating Catchment Area

Destekleyen Kurum

The University of Dodoma

Teşekkür

The authors thank the University of Dodoma for funding this research, the Directorate of Rural Water Supply of Tanzania for providing water point data through the Government Basic Statistics Portal; the National Bureau of Statistics for the 2012 shapefiles of administrative boundaries and the QGIS Development team for a free and open-source GIS application, QGIS 3.10.5, employed in this study

Kaynakça

• Bauer, J., Groneberg, D. A. (2016). Measuring spatial accessibility of health care providers-introduction of a variable distance decay function within the floating catchment area (FCA) method. PLoS ONE, 11(7), e0159148. https://doi.org/10.1371/journal.pone.0159148
• Cromley, G., Lin, J. (2022). Examining the impact of COVID-19 vaccination rates on differential access to critical care. Applied Geography, 145, 102751. https://doi.org/10.1016/j.apgeog.2022.102751
• Dai, D., Wang, F. (2011). Geographic disparities in accessibility to food stores in southwest Mississippi. Environment and Planning B: Planning and Design, 38(4), 659–677. https://doi.org/10.1068/b36149
• Delamater, P. L. (2013). Spatial accessibility in suboptimally configured health care systems: A modified two-step floating catchment area (M2SFCA) metric. Health and Place, 24, 30–43. https://doi.org/10.1016/j.healthplace.2013.07.012
• Desjardins, E., Higgins, C. D., Páez, A. (2022). Examining equity in accessibility to bike share: A balanced floating catchment area approach. Transportation Research Part D: Transport and Environment, 102, 103091. https://doi.org/10.1016/ j.trd.2021.103091
• Huff, D. L. (1963). A Probabilistic Analysis of Shopping Center Trade Areas. Land Economics, 39(1), 81–90. https://doi.org/10.2307/3144521
• Kanuganti, S., Sarkar, A. K., Singh, A. P. (2016). Quantifying Accessibility to Health Care Using Two-step Floating Catchment Area Method (2SFCA): A Case Study in Rajasthan. Transportation Research Procedia, 17, 391–399. https://doi.org/10.1016/ j.trpro.2016.11.080
• 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
• Liu, S., Wang, Y., Zhou, D., Kang, Y. (2020). Two-step floating catchment area model-based evaluation of community care facilities’ spatial accessibility in Xi’an, China. International Journal of Environmental Research and Public Health, 17(14), 5086. https://doi.org/10.3390/ijerph17145086
• Luo, J. (2014). Integrating the huff model and floating catchment area methods to analyze spatial access to healthcare services. Transactions in GIS, 18(3), 436–448. https://doi.org/10.1111/tgis.12096
• Luo, W. (2004). Using a GIS-based floating catchment method to assess areas with shortage of physicians. Health and Place, 10(1), 1–11. https://doi.org/ 10.1016/S1353-8292(02)00067-9
• Luo, W., Qi, Y. (2009). An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health & Place, 15, 1100–1107. https://doi.org/ 10.1016/j.healthplace.2009.06.002
• Luo, W., Wang, F. (2003). Measures of spatial accessibility to health care in a GIS environment: synthesis and a case study in the Chicago region. Environment and Planning B: Planning and Design, 30, 865–884. https://doi.org/10.1068/b29120
• Mahuve, F. E., Tarimo, B. C. (2022). Integrating fuzzy set function into floating catchment area measures: a determination of spatial accessibility of service points. Annals of GIS, 28(3), 307–323. https://doi.org/10.1080/19475683.2022.2026477
• Menteş, E. N., Kaya, Ş., Tanik, A., Gazioğlu, C. (2019). Calculation of Flood Risk Index for Yesilirmak Basin-Turkey. International Journal of Environment and Geoinformatics, 6(3), 288-299. https://doi.org/ 10.30897/ijegeo.661533
• Paez, A., Higgins, C. D., Vivona, S. F. (2019). Demand and level of service inflation in Floating Catchment Area (FCA) methods. PLoS ONE, 14(6), e0218773. https://doi.org/10.1371/journal.pone.0218773
• Paul, J., Edwards, E. (2019). Temporal availability of public health care in developing countries of the Caribbean: An improved two-step floating catchment area method for estimating spatial accessibility to health care. International Journal of Health Planning and Management, 34(1), e536–e556. https://doi.org/10.1002/hpm.2667
• Peng, Z. R. (1997). The jobs-housing balance and urban commuting. Urban Studies, 34(8), 1215–1235. https://doi.org/10.1080/0042098975600
• Pereira, R. H. M., Braga, C. K. V., Servo, L. M., Serra, B., Amaral, P., Gouveia, N., Paez, A. (2021). Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach. Social Science and Medicine, 273, 113773. https://doi.org/10.1016/j.socscimed.2021.113773
• Radke, J., Mu, L. (2000). Spatial decompositions, modeling and mapping service regions to predict access to social programs. Geographic Information Sciences, 6(2), 105–112. https://doi.org/10.1080/ 10824000009480538
• Rekha, R. S., Wajid, S., Radhakrishnan, N., Mathew, S. (2017). Accessibility Analysis of Health care facility using Geospatial Techniques. Transportation Research Procedia, 27, 1163–1170. https://doi.org/ 10.1016/j.trpro.2017.12.078
• Shah, T. I., Milosavljevic, S., Bath, B. (2017). Determining geographic accessibility of family physician and nurse practitioner services in relation to the distribution of seniors within two Canadian Prairie Provinces. Social Science and Medicine, 194, 96–104. https://doi.org/10.1016/j.socscimed.2 017.10.019
• Subal, J., Paal, P., Krisp, J. M. (2021). Quantifying spatial accessibility of general practitioners by applying a modified huff three‑step floating catchment area (MH3SFCA) method. International Journal of Health Geographics, 20, 9. https://doi.org/10.1186/s12942-021-00263-3
• Tao, Z., Cheng, Y., Liu, J. (2020). Hierarchical two-step floating catchment area (2SFCA) method: Measuring the spatial accessibility to hierarchical healthcare facilities in Shenzhen, China. International Journal for Equity in Health, 19(1), 164. https://doi.org/ 10.1186/s12939-020-01280-7
• Tobler, W. R. (1970). A Computer Movie Simulation Urban Growth in Detroit Region. Economic Geography, 46, 234–240. https://doi.org/10.1126/ science.11.277.620
• United Republic of Tanzania. (2002). Tanzanian Water Policy.
• Wan, N., Zou, B., Sternberg, T. (2012). A three-step floating catchment area method for analyzing spatial access to health services. International Journal of Geographical, 26(6), 1073–1089. https://doi.org/ 10.1080/13658816.2011.624987
• Wang, F. (2000). Modeling Commuting Patterns in Chicago in a GIS Environment: A Job Accessibility Perspective. Professional Geographer, 52(1), 120–133. https://doi.org/10.1111/0033-0124.00210
• World Bank. (2018). Reaching for the SDGs: The Untapped Potential of Tanzanias Water Supply, Sanitation, and Hygiene Sector. In WASH Poverty Diagnosis.
• Wu, H., Liu, L., Yu, Y., Peng, Z. (2018). Evaluation and planning of urban green space distribution based on mobile phone data and two-step floating catchment area method. Sustainability, 10(1), 214. https://doi.org/10.3390/su10010214
• Xia, Z., Li, H., Chen, Y., Yu, W. (2019). Integrating spatial and non-spatial dimensions to measure urban fire service access. ISPRS International Journal of Geo-Information, 8(3), 138. https://doi.org/ 10.3390/ijgi8030138
• Zhou, X., Han, P., Huang, J., Yu, Z. (2021). The measurement method of spatiotemporal accessibility of electric vehicle charging stations in the dynamic time-dependent urban environment. IOP Conference Series: Earth and Environmental Science, 783(1), 012078. https://doi.org/10.1088/17551315/ 783/1/012078.