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Longitudinal correlations of car ownership with socio-economics, urban form, and transport infrastructure in Latin America: Example from Ensenada, Mexico

Longitudinal correlations of car ownership with socio-economics, urban form, and transport... AbstractCar-orientated modal splits represent problems for the city in economic, environmental and social terms. The implementation of policies and other measures can fail if the causes are not well recognized. Mid-sized cities in Mexico are not well-represented in studies where only the capital and other bigger cities are studied. This research aims to recognize those causes focusing on northern midsized cities in Mexico. The approach involves numerical work (linear regression) complemented with a descriptive analysis of the city. The analysis takes on such areas of consideration as socio-economic factors, land-use variables and the street network of the city. Of the 16 variables, almost all presented a relationship with car ownership levels, but not all behaved as expected. The final part of the research is a reaction to the previous studies and recommendations to change the city from car-orientated to one with a sustainable modal split. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of Geography. Socio-economic Series de Gruyter

Longitudinal correlations of car ownership with socio-economics, urban form, and transport infrastructure in Latin America: Example from Ensenada, Mexico

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References (32)

Publisher
de Gruyter
Copyright
© Bulletin of Geography. Socio-economic Series
ISSN
1732-4254
eISSN
2083-8298
DOI
10.1515/bog-207-0028
Publisher site
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Abstract

AbstractCar-orientated modal splits represent problems for the city in economic, environmental and social terms. The implementation of policies and other measures can fail if the causes are not well recognized. Mid-sized cities in Mexico are not well-represented in studies where only the capital and other bigger cities are studied. This research aims to recognize those causes focusing on northern midsized cities in Mexico. The approach involves numerical work (linear regression) complemented with a descriptive analysis of the city. The analysis takes on such areas of consideration as socio-economic factors, land-use variables and the street network of the city. Of the 16 variables, almost all presented a relationship with car ownership levels, but not all behaved as expected. The final part of the research is a reaction to the previous studies and recommendations to change the city from car-orientated to one with a sustainable modal split.

Journal

Bulletin of Geography. Socio-economic Series – de Gruyter

Published: Sep 26, 2017

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