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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/11366
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dc.contributor.advisorScott, Darrenen_US
dc.contributor.advisorAntonio Páez, Niko Yiannakouliasen_US
dc.contributor.advisorAntonio Páez, Niko Yiannakouliasen_US
dc.contributor.authorChowdhury, Ahmed Tufayelen_US
dc.date.accessioned2014-06-18T16:54:26Z-
dc.date.available2014-06-18T16:54:26Z-
dc.date.created2011-09-27en_US
dc.date.issued2011-10en_US
dc.identifier.otheropendissertations/6338en_US
dc.identifier.other7325en_US
dc.identifier.other2260633en_US
dc.identifier.urihttp://hdl.handle.net/11375/11366-
dc.description.abstract<p>Land use planning has gained popularity as a travel demand management strategy for the last two decades. Many urban authorities in North America have adopted smart growth policies in order to curb auto use and promote sustainable forms of travel, namely, public transit, bicycle and walking. The purpose of this study is to examine whether someone’s travel behavior is influenced by the characteristics of the built environment where one lives and works. The study area is Halifax Regional Municipality, Nova Scotia, Canada. Two aspects of travel are analyzed for a weekday: total distance travelled by auto and average tour complexity. Separate models are developed for worker and non-worker by applying ordinary least square and spatial lag modeling techniques. The built environment variables are measured near home and workplace and at different geographical scales. The average auto distance and tour complexity are separately regressed against the built environment variables while personal characteristics, household attributes, preferences for residential location and transport mode, and meteorological conditions of survey days are accounted for. The results of auto distance models suggest that people living and working in high accessibility areas with mixed land uses make shorter travel by auto, which supports the claims of smart growth proponents. The built environment variables make significant contribution to the fitness of auto distance models. In case of tour complexity models, built environment variables also appear to be significant but with lower contribution to model <em>R<sup>2</sup></em>. The results suggest that non-workers, who live in poor accessibility areas, make more complex tours. Workers living in poorly accessible neighborhoods and working in highly accessible areas make complex commuting and work-based, non-work tours. It means that, workers compensate poor neighborhood accessibility by trip chaining near workplace. The findings would be helpful to evaluate the existing growth strategies in Halifax Regional Municipality. In addition, it makes several contributions to the literature.</p>en_US
dc.subjectAuto travel distanceen_US
dc.subjectbuilt environmenten_US
dc.subjectspatial lag modelen_US
dc.subjecttour complexityen_US
dc.subjecttravel behavioren_US
dc.subjectHuman Geographyen_US
dc.subjectHuman Geographyen_US
dc.titleTravel behavior – built environment nexus: an investigation in the context of Halifax Regional Municipalityen_US
dc.typethesisen_US
dc.contributor.departmentGeography and Earth Sciencesen_US
dc.description.degreeMaster of Arts (MA)en_US
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