Estimation of Pedestrian Compliance at Signalized Intersections Considering Demographic and Geographic Factors
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2022-06-01
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Edition:Final Report
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Abstract:Walking as a main mode of transportation is continuously growing as a choice of mobility. This is due largely in part to its positive impacts on environmental and socioeconomic sustainability of the surrounding area. However, it is crucial that city planners and transportation engineers provide facilities that are safe for these vulnerable road users. Surrounding land use and demographic factors may be associated with pedestrian compliance with a given traffic signal. This project seeks to create an understanding of how the surrounding land use and demographic characteristics of an intersection influence pedestrian compliance with a given crossing signal. This study uses pedestrian observation data collected from 145 crosswalks at 42 intersections in Connecticut. Pedestrians were recorded as being compliant if they crossed on the correct signal phasing and remained in the designated crosswalk for the entire crossing. The odds of compliance at each crosswalk are used as the response variable in a log-linear regression model which is being predicted by collected physical crosswalk site characteristics and geo-spatial data, including demographics and land use. The study analyzes three different buffer sizes for the geo-spatial data: half-mile, quarter-mile, and eighth-mile. The results from the study show that the quarter-mile land use buffer yielded the best model fit with all variables included being statistically significant at 95%. High density land use area, weighted population density, sidewalk presence, intersections with exclusive phasing, and day of the week all decrease the odds of pedestrian compliance with signal phasing. Medium density land use area, low density land use area, and crosswalk presence increase the odds of pedestrian compliance with signal phasing.
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