Paper Details

TRB 91st Annual Meeting (January 22-26, 2012)

Event Number:	539
Event Title:	Bicycle Planning and the Built Environment
Event Date:	Jan 24 2012 10:45AM- 12:30PM
Event Location:	Hilton, International Center
Event Description:
Event Agenda:

Impact of Ambient Built-Environment Attributes on Sustainable Travel Modes: A Spatial Analysis in Chittenden County, Vermont (12-2561)

Non-motorized travel in terms of walking or bicycling plays a critical role in promoting healthy living style, offering sustainable alternatives to environmental impacts, energy consumption, and societal costs of motorized travel modes, and allocating limited resources for constructing pedestrian-orientated transportation infrastructure facilities. Historically, much research has been focused on the nexus between ambient built-environment attributes and travel mode choices or shares or non-motorized travel prediction. For a better understanding of non-motorized travels at multimodal facilities, spatial dependency should be considered since traffic volume at one monitoring station is correlated with that at neighboring sites due to the continuity in area-wide traffic circulation. However, few studies have been conducted in spatial analysis of walking and bicycling traffic at intersections. Utilizing a 10-year assembly of non-motorized traffic counts and a geographical information system (GIS) which contains intersection-based location data and functional classifications of habitable infrastructure in Chittenden County of Vermont, this study determined whether spatial autocorrelation exists for non-motorized volumes and ambient built-environment attributes, and geographically weighted regression (GWR) was applied on two different data-collection scales to identify whether spatially varying relationships operate significantly between non-motorized volumes and specific surrounding characteristics on each scale. Some variables are found significant in spatially influencing non-automobile travel. The resultant models can estimate walking and bicycling volumes at countywide intersections. Better estimation of non-motorized travel locally facilitates transportation planning, facility design, safety enhancement, and operational analysis.

Authors
     Lu, George , University of Michigan
     Sullivan, James , University of Vermont
     Troy, Austin , University of Vermont