A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An analysis of the built environment and auto travel in Halifax, Canada
Abstract This study tests whether the built environment influences total distance traveled by auto for non-work trips on a weekday. Using cross-sectional data from Halifax, Canada, we identify a strong causal relation between the built environment and auto distance traveled by worker and non-worker for a selection of non-work travel. We apply linear regression and the spatial lag model to control for spatial autocorrelation and find that the presence of built environment variables in linear regression handles the autocorrelation problem. We use attitude variables to control for residential self-selection. The importance of measuring the built environment near home and workplace is demonstrated. Also, we find that an empirically derived geographical scale of measuring the built environment outperforms the commonly used quarter-mile scale. The study demonstrates the importance of selecting a suitable set of trips for travel behavior-built environment analysis and suggests that future studies should classify travel based on trippurpose and examine what types of trips are influenced by the built environment.
Highlights Impact of the built environment on total distance traveled by auto for non-work trips on a weekday. Data are from the Halifax Space-Time Activity Research (STAR) Project. Built environment characteristics are measured for empirically-derived geographical scales. Spatial lag models are estimated for workers and non-workers to account for spatial autocorrelation. Built environment variables improve the goodness-of-fit of the models.
An analysis of the built environment and auto travel in Halifax, Canada
Abstract This study tests whether the built environment influences total distance traveled by auto for non-work trips on a weekday. Using cross-sectional data from Halifax, Canada, we identify a strong causal relation between the built environment and auto distance traveled by worker and non-worker for a selection of non-work travel. We apply linear regression and the spatial lag model to control for spatial autocorrelation and find that the presence of built environment variables in linear regression handles the autocorrelation problem. We use attitude variables to control for residential self-selection. The importance of measuring the built environment near home and workplace is demonstrated. Also, we find that an empirically derived geographical scale of measuring the built environment outperforms the commonly used quarter-mile scale. The study demonstrates the importance of selecting a suitable set of trips for travel behavior-built environment analysis and suggests that future studies should classify travel based on trippurpose and examine what types of trips are influenced by the built environment.
Highlights Impact of the built environment on total distance traveled by auto for non-work trips on a weekday. Data are from the Halifax Space-Time Activity Research (STAR) Project. Built environment characteristics are measured for empirically-derived geographical scales. Spatial lag models are estimated for workers and non-workers to account for spatial autocorrelation. Built environment variables improve the goodness-of-fit of the models.
An analysis of the built environment and auto travel in Halifax, Canada
Chowdhury, Tufayel (author) / Scott, Darren M. (author)
Transport Policy ; 94 ; 23-33
2020-05-05
11 pages
Article (Journal)
Electronic Resource
English
Built Environment and School Travel Mode Choice in Toronto, Canada
| British Library Online Contents | 2010
The Procos Solar House in Halifax, Canada
| British Library Conference Proceedings | 1999
Travel and the Built Environment
| Online Contents | 2010
Built Environment, Causality and Travel
| Taylor & Francis Verlag | 2015