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A New Measure of Transport Disadvantage for the Developing World Using Free Smartphone Data

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  • Francisco Benita

    (Singapore University of Technology and Design)

Abstract

Based on data from a free of cost smartphone app, this paper presents a methodology to compute and integrate six transport disadvantage indicators into a widely used measure of social exclusion in Mexico, namely, social backwardness index (SBI). It is presented the case of Zacatecas metropolitan area as an example. The results are obtained through Latent Class Analysis and Principal Component Analysis, comparing the effect of transport disadvantage on SBI. A major improvement over the official methodology is that the novel measure can be computed for highly spatially disaggregated units of analysis such as neighborhoods and urban blocks.

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  • Francisco Benita, 2019. "A New Measure of Transport Disadvantage for the Developing World Using Free Smartphone Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 415-435, August.
    • Handle: RePEc:spr:soinre:v:145:y:2019:i:1:d:10.1007_s11205-019-02107-x
    DOI: 10.1007/s11205-019-02107-x
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    Cited by:

    1. Francisco Benita, 2022. "Associations Between Street Connectivity and Poverty," Networks and Spatial Economics, Springer, vol. 22(1), pages 181-201, March.
    2. Ridhi Kashyap & Masoomali Fatehkia & Reham Al Tamime & Ingmar Weber, 2020. "Monitoring global digital gender inequality using the online populations of Facebook and Google," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(27), pages 779-816.

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