01701407

Component

https://doi.org/10.1177/0361198119837962

Multiple approaches have been proposed to take traffic safety into consideration in long-term transportation plans, referred to as transportation safety planning. Some early studies used trip generation data as the explanatory variables for their macro-level crash safety performance functions, or crash prediction models. However, no study to date has attempted to integrate walking exposure and pedestrian safety at the modeling stage. Thus, a novel methodological framework for integrating the analyses of walking exposure and pedestrian crashes is proposed toward better transportation safety planning for pedestrians. In comparison with walking trips and walking miles, walking hours was identified as the best walking exposure variable by a preliminary analysis. Thus, an integrated modeling structure with walking hours as its exposure variable was developed. The modeling results indicate that climate conditions, population, and car usage patterns affect walking hours, and predicted walking hours, climate conditions, percentage of mid-elderly (64–75?years), proportions of minority race/ethnicity, and percent of tertiary industry occupations have significant effects on pedestrian fatalities. In addition, the integrated modeling framework was compared with non-integrated ones, and the results indicate that the integrated framework outperforms its counterparts in relation to deviance information criterion. The proposed approach and the findings from this study are expected to provide useful insights not only to researchers but also to policy makers and practitioners in the fields of transportation planning and traffic safety.

19-00614

English

pp 898-906

2019-4

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures (2) ; References (54) ; Tables (3)

Climate; Demographics; Fatalities; Pedestrian safety; Pedestrian vehicle crashes; Pedestrians; Regression analysis; Time duration; Transportation planning; Walking

Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors

TRIS, TRB, ATRI

Feb 28 2019 8:37AM