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Abstract
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| Using Multi-days Data collected by a Smartphone panel survey, this paper explores the potential role of extrinsic characteristics of individual and collectives variables (i.e. social capital, street design and land use variables) on transport choice mode. A sample of 250 individuals, from four working centers (i.e. two health centers, Technical University of Madrid and the Faculty of Geography of the Complutense University) and living in Madrid Metropolitan Area (MMA) participated in a Smartphone two waves panel survey, entering travel data for an entire working week. A Mixed Logit model was estimated to analyze travel behavior after a fare increase and the extension of some metro stations. A first result shows that a generalized increase of public transport fare and the extension of Metro stations improve the significance of the income on the choice mode in favor of car-mode and marginally increases the use of Public Transport. Apart from the classical explanatory variables, such as income, travel time and cost, gender, and car ownership, the model incorporates directly built environment variables, and social capital variables, and panel effects correlations. Results clearly show that there are different combinations between explanatory variables (i.e. social capital and built environment variables) and data panel for explaining travel behavior. Therefore there is an overlapping between the use of multi-wave data and the incorporation of new variables related to social capital attributes and Built Environment. These new variables could improve the explanatory and forecasting capacity of travel behavior models even more than multi waves travel data. | |
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International
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Si |
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Congress
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Transportation Research Board 94th Annual Meeting |
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970 |
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Place
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Washington DC, United States |
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Reviewers
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Si |
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ISBN/ISSN
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0000-0000 |
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Start Date
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11/01/2015 |
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End Date
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15/01/2015 |
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From page
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1 |
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To page
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19 |
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TRB 94th Annual Meeting Compendium of Papers |