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With the rapid changes in land use development along suburban arterials inShanghai, there is also a corresponding increase in traffic demand along thesearterials. With a preference toward increased accessibility and efficiency,these arterials have been installed with an increased number of signalizedintersections and accesses to serve local traffic needs. The absence of adefined functional hierarchy along the road network, together with thenon-uniform installation of signals and accesses tends to deteriorate arterialsafety. Previous studies on arterial safety have generally been based on asingle type of road entity (either intersection or roadway segment). Thesestudies only analyzed partial safety impacts of signal spacing and accessdensity, as these factors would significantly influence the safety performanceof both intersections and roadway segments. Macro level safety modeling wasusually applied to investigate the relationship between the zonal crashfrequencies and demographics, road network features and trafficcharacteristics. In this study, a new modeling strategy was proposed to analyzethe safety impacts of roadway network features (i.e., road network patterns,signal spacing and access density) of arterials by applying a macro levelsafety modeling technique. Bayesian Conditional Autoregressive models weredeveloped for arterials covering 173 Traffic Analysis Zones in the suburbanarea in Shanghai. The results identified that the road network pattern withcollector roads parallel to the arterials was shown to be associated with fewercrashes than those without parallel collectors. Higher signal density andaccess density also tended to increase crash frequencies on arterials.

Investigating Safety Impacts of Roadway Network Features of Suburban Arterials in Shanghai, China