Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach
Abstract This paper provides an analysis of trip generation of three vulnerable groups: single-parent families, low income households, and the elderly. It compares the mobility of these groups to that of the general population in three Canadian urban areas of Hamilton, Montreal and Toronto, based on data from large-sample metropolitan transport surveys. An ordered probit model with spatially expanded coefficients is used for the analysis. Spatial expansion shows that there are spatial mobility trends for elderly populations and low-income populations even after socio-economic attributes are accounted for. Such spatial differences are not generally found for single parent families. This novel spatial analysis provides clues as to where vulnerable populations may experience greater degrees of social exclusion. It provides information to help prioritize transportation infrastructure projects or other social programs to take into account the needs of vulnerable populations with the lowest levels of mobility.
Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach
Abstract This paper provides an analysis of trip generation of three vulnerable groups: single-parent families, low income households, and the elderly. It compares the mobility of these groups to that of the general population in three Canadian urban areas of Hamilton, Montreal and Toronto, based on data from large-sample metropolitan transport surveys. An ordered probit model with spatially expanded coefficients is used for the analysis. Spatial expansion shows that there are spatial mobility trends for elderly populations and low-income populations even after socio-economic attributes are accounted for. Such spatial differences are not generally found for single parent families. This novel spatial analysis provides clues as to where vulnerable populations may experience greater degrees of social exclusion. It provides information to help prioritize transportation infrastructure projects or other social programs to take into account the needs of vulnerable populations with the lowest levels of mobility.
Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach
Roorda, Matthew J. (Autor:in) / Páez, Antonio (Autor:in) / Morency, Catherine (Autor:in) / Mercado, Ruben (Autor:in) / Farber, Steven (Autor:in)
Transportation ; 37
2010
Aufsatz (Zeitschrift)
Englisch
Bayesian estimation of multinomial probit models of work trip choice
Online Contents | 2003
|BAYSIAN INFERENCE FOR ORDERED RESPONSE DATA WITH A DYNAMIC SPATIAL-ORDERED PROBIT MODEL
Online Contents | 2009
|