Welcome to the InfoSci Platform
Reference Hub1
Traffic Safety Implications of Travel Demand Management Policies: The Cases of Teleworking and Fuel Cost Increase

Traffic Safety Implications of Travel Demand Management Policies: The Cases of Teleworking and Fuel Cost Increase

Ali Pirdavani, Tom Bellemans, Tom Brijs, Bruno Kochan, Geert Wets
Copyright: © 2015 |Pages: 26
ISBN13: 9781466684737|ISBN10: 1466684739|EISBN13: 9781466684744
DOI: 10.4018/978-1-4666-8473-7.ch055
Cite Chapter Cite Chapter

MLA

Pirdavani, Ali, et al. "Traffic Safety Implications of Travel Demand Management Policies: The Cases of Teleworking and Fuel Cost Increase." Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2015, pp. 1082-1107. https://doi.org/10.4018/978-1-4666-8473-7.ch055

APA

Pirdavani, A., Bellemans, T., Brijs, T., Kochan, B., & Wets, G. (2015). Traffic Safety Implications of Travel Demand Management Policies: The Cases of Teleworking and Fuel Cost Increase. In I. Management Association (Ed.), Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications (pp. 1082-1107). IGI Global. https://doi.org/10.4018/978-1-4666-8473-7.ch055

Chicago

Pirdavani, Ali, et al. "Traffic Safety Implications of Travel Demand Management Policies: The Cases of Teleworking and Fuel Cost Increase." In Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1082-1107. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8473-7.ch055

Export Reference

Mendeley
Favorite

Abstract

Travel Demand Management (TDM) consists of a variety of policy measures that affect the transportation system's effectiveness by changing travel behavior. Although the primary objective to implement such TDM strategies is not to improve traffic safety, their impact on traffic safety should not be neglected. The main purpose of this study is to investigate differences in the traffic safety consequences of two TDM scenarios: a fuel-cost increase scenario (i.e. increasing the fuel price by 20%) and a teleworking scenario (i.e. 5% of the working population engages in teleworking). Since TDM strategies are usually conducted at a geographically aggregated level, crash prediction models that are used to evaluate such strategies should also be developed at an aggregate level. Moreover, given that crash occurrences are often spatially heterogeneous and are affected by many spatial variables, the existence of spatial correlation in the data is also examined. The results indicate the necessity of accounting for the spatial correlation when developing crash prediction models. Therefore, Zonal Crash Prediction Models (ZCPMs) within the geographically weighted generalized linear modeling framework are developed to incorporate the spatial variations in association between the Number Of Crashes (NOCs) (including fatal, severe, and slight injury crashes recorded between 2004 and 2007) and a set of explanatory variables. Different exposure, network, and socio-demographic variables of 2200 traffic analysis zones in Flanders, Belgium, are considered as predictors of crashes. An activity-based transportation model is adopted to produce exposure metrics. This enables a more detailed and reliable assessment while TDM strategies are inherently modeled in the activity-based models. In this chapter, several ZCPMs with different severity levels and crash types are developed to predict the NOCs. The results show considerable traffic safety benefits of conducting both TDM scenarios at an average level. However, there are certain differences when considering changes in NOCs by different crash types.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.