Keita, Moussa (2015): A simple empirical analysis on the link between socioeconomic status and spatial mobility.
Preview |
PDF
MPRA_paper_61517.pdf Download (422kB) | Preview |
Abstract
Considering spatial mobility as an important dimension of human capability with direct implications for well-being, this study examines the link between individuals’ socioeconomic status and their degree of mobility. We use data from the National Household Travel Survey (NHTS) conducted in United States in 2009 by the US Department of Transportation. We construct two complementary mobility variables: one translating the average distance individuals travel by day and the other capturing the average number of trips made by individuals in a day. Using both exploratory and multivariate linear regressions analyzes, our results show that socioeconomic status determines significantly individuals’ degree of mobility. We found that mobility is significantly higher among the most educated individuals and those with high income levels. It also appears strong heterogeneity in the mobility according to gender or individuals’ age. We found, in particular, that men are more mobile than women in terms of distance traveled. But conversely, women are much more mobile than men in terms of frequency of trips.
Item Type: | MPRA Paper |
---|---|
Original Title: | A simple empirical analysis on the link between socioeconomic status and spatial mobility |
Language: | English |
Keywords: | spatial mobility, socio-economics status |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General D - Microeconomics > D6 - Welfare Economics > D60 - General I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty |
Item ID: | 61517 |
Depositing User: | Moussa keita |
Date Deposited: | 23 Jan 2015 14:38 |
Last Modified: | 01 Oct 2019 05:43 |
References: | Brockmann, D. D., Hufnagel, L. & Geisel, T. The scaling laws of human travel. Nature 439, 462–465 (2006). Carlsson-Kanyama, A. & Liden, A. (1999). “Travel patterns and environmental effects now and in the future: implications of differences in energy consumption among socio-economic groups” in Ecological Economics 30(3), pp 405-417. Mohammed Ahsan, H., Mizanur Rahman, Md. & Habib, K. (2002). “Socio Economic Status and Travel Behavior of inter-city bus passengers: Bangladesh Perspective“, in Journal of Civil Engineering 30(2). Rubio, A., Frias-Martinez, V., Frias-Martinez E. & Oliver, N. (2010, March). "Human Mobility in Advanced and Developing Economies: A Comparative Analysis", in AAAI Spring Symposia Artificial Intelligence for Development, AID, Stanford, USA. Ratti, C., Liu, L., Hou, A., Biderman, A. & Chen, J. (2008). “Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen”, Institute for Electrical and Electronics Engineers. Gonzalez, M., Hidalgo, C. A. & Barabasi, A.-L. (2008). “Understanding individual human mobility patterns”, Nature, 453, 779 – 782. Song, C., Qu, Z., Blum, N. & Barabasi, A.-L. (2010). “Limits of Predictability in Human Mobility”, Science, Vol. 327. no. 5968, pp. 1018 – 1021. Frias-Martinez E., Williamson G. And Frias-Martinez V. (2008). “An Agent- Based Model of Epidemic Spread using Human Mobility and Social Network Information”, SocialCom. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/61517 |