The Spatial Equity Assessment of Community-Based Elderly Care Facilities in Old Neighborhood of Chongqing
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The Spatial Equity Assessment of Community-Based Elderly Care Facilities in Old Neighborhood of Chongqing

Authors: Jiayue Zhao, Hongjuan Wu, Guiwen Liu

Abstract:

Old neighborhoods with a large elderly population depend on community-based elderly care facilities (community-based ECFs) for aging-in-place. Yet, due to scarce and scattered land, the facilities face inequitable distribution. This research uses spatial equity theory for measuring the spatial equity of community-based ECFs in old neighborhoods. Field surveys gather granular data and methods including coverage rate, Gini coefficient, Lorenz curve and G2SFCA. The findings showed that coverage is substantial but does not indicate supply is matching to demand, nor does it imply superior accessibility. The key contributions are that structuring spatial equity framework considering elderly residents’ travel behavior. This study dedicated to the international literature on spatial equity from the perspective of travel behavior and could provide valuable suggestions for the urban planning of old neighborhoods.

Keywords: Community-based ECFs, elderly residents’ travel behavior, old neighborhoods, spatial equity.

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[1] Tsou, K.-W, Hung, Y.-T, and Chang, Y.-L, “An accessibility-based integrated measure of relative spatial equity in urban public facilities,” Cities, vol. 22, pp. 424-435, 2005.
[2] Taleai, M., Sliuzas, R., and Flacke, J., “An integrated framework to evaluate the equity of urban public facilities using spatial multi-criteria analysis,” Cities, vol. 40, pp. 56-69, 2014.
[3] Cheng, T., Liu, C., Yang, H., Wang, N., and Liu, Y., “From service capacity to spatial equity: Exploring a multi-stage decision-making approach for optimizing elderly-care facility distribution in the city centre of Tianjin, China,” Sustainable Cities and Society, vol. 85, 2022.
[4] Liu, B., Tian, Y., Guo, M., Tran, D., Alwah, A. A. Q., and Xu, D, “Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework,” Cities, vol. 121, 2022.
[5] Cui, X., Ma, L., Tao, T., and Zhang, W., “Do the supply of and demand for rural public service facilities match? Assessment based on the perspective of rural residents,” Sustainable Cities and Society, vol. 82, 2022.
[6] Kabisch, N., and Haase, D., “Green justice or just green? Provision of urban green spaces in Berlin, Germany,” Landscape and Urban Planning, vol. 122, pp. 129-139, 2022.
[7] Lei, P., and Feng, Z., “Age-friendly neighbourhoods and depression among older people in China: Evidence from China Family Panel Studies,” Journal of Affective Disorders, vol. 286, pp. 187-196, 2021.
[8] Cho, H., Choi, J., No, W., Oh, M., and Kim, Y., “Accessibility of welfare facilities for elderly people in Daejeon, South Korea considering public transportation accessibility,” Transportation Research Interdisciplinary Perspectives, vol. 12, 2021.
[9] Dadashpoor, H., Rostami, F., and Alizadeh, B., “Is inequality in the distribution of urban facilities inequitable? Exploring a method for identifying spatial inequity in an Iranian city,” Cities, vol. 52, pp. 159-172, 2021.
[10] Ashik, F. R., Mim, S. A., and Neema, M. N., “Towards vertical spatial equity of urban facilities: An integration of spatial and aspatial accessibility,” Journal of Urban Management, vol. 9, pp. 77-92, 2021.
[11] Ashraf Ganjoei, R., Akbarifard, H., Mashinchi, M., and Esfandabadi, S., “Estimation of upper and lower bounds of Gini coefficient by fuzzy data,” Data in Brief, vol. 29, 2020.
[12] Wang, M., and Mu, L., “Spatial disparities of Uber accessibility: An exploratory analysis in Atlanta, USA,” Computers, Environment and Urban Systems, vol 67, pp. 169-175, 2018.
[13] Li, F., Zhang, F., Li, X., Wang, P., Liang, J., Mei, Y., and Qian, Y., “Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing,” International Journal of Environmental Research and Public Health, vol. 14, pp. 237, 2017.
[14] Su, H., and Yang, S., “Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China,” International Journal of Environmental Research and Public Health, vol. 19, 2022.
[15] Moyano, A., Martinez Sanchez-Mateos, H., and Coronado, J., “From network to services: A comparative accessibility analysis of the Spanish high-speed rail system,” Transport Policy, vol. 63, pp. 51-60, 2017.
[16] Talen, E., and Anselin, L., “Assessing Spatial Equity: An Evaluation of Measures of Accessibility to Public Playgrounds,” Environment and Planning A: Economy and Space, vol 30, pp. 595-613, 2017.
[17] Xu, B., and Pan, J., “Spatial distribution characteristics of national protected areas in China,” Journal of Geographical Sciences, vol. 29, pp. 2047-2068, 2017.
[18] Weibull, J. W., “An axiomatic approach to the measurement of accessibility. Regional Science and Urban Economics,” vol. 6, pp. 357-379, 1976.
[19] Radke, J., and Mu, L., “Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs,”, Annals of GIS, vol. 6, pp. 105-112, 2000.
[20] Wang, X., Yang, H., Duan, Z., and Pan, J., “Spatial accessibility of primary health care in China: A case study in Sichuan Province,” Social Science & Medicine, vol. 209, pp. 14-24, 2016.
[21] Zhang, J., and Tan P Y., “Demand for parks and perceived accessibility as key determinants of urban park use behavior,” Urban Forestry & Urban Greening, vol. 44.