Food deserts,activity patterns, & social exclusion: The case of Tokyo,Japan |
| |
| Institution: | 1. Department of Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba, Tennodai 1-1-1, Tsukuba, Ibaraki 305-8573, Japan;2. Faculty of Engineering, Information and Systems, University of Tsukuba, Tennodai 1-1-1, Tsukuba, Ibaraki 305-8573, Japan;1. Universidad de la República, Facultad de Ciencias, Laboratorio de Electroquímica Fundamental, Núcleo Interdisciplinario Ingeniería Electroquímica, Igua 4225, CP 11400, Montevideo, Uruguay;2. Universidad de la República, Crystallography, Solid State and Materials Laboratory (Cryssmat-Lab), DETEMA, Centro NanoMat, Polo Tecnológico de Pando, Espacio Interdisciplinario, Facultad de Química, Montevideo, Uruguay;3. Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Av. Rivadavia 1917, C1033AAJ, Ciudad de Buenos Aires, Argentina;4. Centro Atómico Bariloche, Comisión Nacional de Energía Atómica (CAB-CNEA), Av. Bustillo 9500, CP 8400, S.C. de Bariloche RN, Argentina;5. Universidad de la República, Facultad de Ingeniería, Instituto de Ingeniería Química, Núcleo Interdisciplinario Ingeniería Electroquímica, J.Herrera y Reissig 565, CP 11300, Montevideo, Uruguay;1. Department of Human Geography, Stockholm University, 106 91, Stockholm, Sweden;2. Department of Sociology, Stockholm University, 106 91, Stockholm, Sweden;3. Department of Sociology, Umeå University, Umeå, Sweden |
| |
| Abstract: | This study attempts to identify areas with a high level of discrepancy in the probability for an individual to exceed the threshold of walking time for grocery shopping. It is based on an assumption that a higher discrepancy is associated with more relative disadvantages for socially excluded people, the elderly, with no car and unemployed. A geographically weighted logistic model that incorporates individual constraints and spatial accessibility is developed to yield a probability, capturing the spatial variation of relations of factors. In the city of Tokyo, the north-eastern area shows a significant discrepancy for the socially excluded group. The distribution of high level of discrepancy differs compared to that of the area with low accessibility. This study's methodology and results provide convincing evidence that in determining food desert areas, relative accessibility estimated with personal attributes should be taken into account. |
| |
| Keywords: | Food deserts Social exclusion Walking distance Trip behaviors Elderly |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
