2019 CSCE Annual Conference - Laval (Greater Montreal)

2019 CSCE Annual Conference - Laval (Greater Montreal) Conference


Title
Exploring the Impact of SMARTer Gowth prinicples on Mode Choice Behaviour

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Author(s)
Mr. Abdul Rahman Masoud
Mr. Ahmed Idris, UBC Okanagan
Dr. Gordon Lovegrove, University of British Columbia, Canada (Presenter)
Abstract

Urban planning has been historically driven by the pursuit of public health. In fact, “sanitary engineers were the first urban planners in America”, when the main concerns about public health were infectious diseases and poor sanitation. The twenty first century mark a new era of public health challenges including increases in physical inactivity rates, road collisions, and Greenhouse Gas (GHG) emissions. These new challenges need to be addressed by shifting the paradigm towards neighbourhood design that reduces automobile dependency and encourages people to use more sustainable modes of transportation. Given the limited impact of current neighborhood street pattern designs in promoting more sustainable and safe communities, the SMARTer Growth (SG) neighborhood design principles were developed by Canada Mortgage and Housing Corporation with the objective of balancing the needs of safety and health for residents, with those of the automobile and AT, all in pursuit of enhanced community sustainability. However, no study has been able to draw on any systematic research into evaluating the impact of the full-fledged SG design (i.e. considering all elements, including land use, improved safety, higher levels of social interaction, etc…) on mode choice behaviour for active transportation users. The research to date has tended to focus on the street connectivity aspect of the SG design and ignored its other features. This paper expands on previous research related to the influence of SG neighbourhood design principles on active transportation use for work and non-work trips by hypothetical retrofitting of an existing neighbourhood using SG design principles. This hypothesis was tested using Multinomial Logit (MNL) mode choice models for the City of Kelowna, BC. The MNL model accounts socioeconomic, level of service, land use characteristics, and traffic safety.