A Comparative Study on Physical Environment between Bicyclist and Pedestrian Crash Concentration Zone and Non-concentration Zone
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Walking and biking are sustainable transportation modes that reduce greenhouse gas emission, contribute towards more healthy communities. However, the dangerous road makes it hard to promote pedestrian and bicyclist activities. Challenges faced by local transportation planners are to locate the crash concentration zones and to identify the dominant environment factors within these zones. This paper examines a systemic methodology that analyzes the patterns of pedestrian and bicycle crashes and their relationship to the physical environments of the surrounding areas. Analyzing 5 years of pedestrian and bicycle crashes in Riverside County, California, this paper focuses on the comparison of physical environment between a crash concentration zone and a comparable non-concentration zone utilizing Geographic Information Systems (GIS) technology to identify crash concentration zones. This paper identifies that several environmental factors, such as signalized intersections, median, streetlights, planters, parking lot driveways, bike lanes, and bike signs were found to have strong correlations with the difference in crash occurrence between the crash concentration zone and non-concentration zone.
Abstract
Walking and biking are sustainable transportation modes that reduce greenhouse gas emission, contribute towards more healthy communities. However, the dangerous road makes it hard to promote pedestrian and bicyclist activities. Challenges faced by local transportation planners are to locate the crash concentration zones and to identify the dominant environment factors within these zones. This paper examines a systemic methodology that analyzes the patterns of pedestrian and bicycle crashes and their relationship to the physical environments of the surrounding areas. Analyzing 5 years of pedestrian and bicycle crashes in Riverside County, California, this paper focuses on the comparison of physical environment between a crash concentration zone and a comparable non-concentration zone utilizing Geographic Information Systems (GIS) technology to identify crash concentration zones. This paper identifies that several environmental factors, such as signalized intersections, median, streetlights, planters, parking lot driveways, bike lanes, and bike signs were found to have strong correlations with the difference in crash occurrence between the crash concentration zone and non-concentration zone.
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