As e-commerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers. Ridealongs were performed in Seattle, Washington, covering a range of vehicles (cars, vans, and trucks), goods (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail). Observers collected qualitative observations and quantitative data on trip and dwell times, while also tracking vehicles with global positioning system devices. The results showed that, on average, urban CVs spent 80% of their daily operating time parked. The study also found that, unlike the common belief, drivers (especially those operating heavier vehicles) parked in authorized parking locations, with only less than 5% of stops occurring in the travel lane. Dwell times associated with authorized parking locations were significantly longer than those of other parking locations, and mail and heavy goods deliveries generally had longer dwell times. We also identified three main criteria CV drivers used for choosing a parking location: avoiding unsafe maneuvers, minimizing conflicts with other users of the road, and competition with other commercial drivers. The results provide estimates for trip times, dwell times, and parking choice types, as well as insights into why those decisions are made and the factors affecting driver choices.


    Access

    Download


    Export, share and cite



    Title :

    Understanding Urban Commercial Vehicle Driver Behaviors and Decision Making


    Additional title:

    Transportation Research Record




    Publication date :

    2021-03-03




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Driver fuzzy decision making model of vehicle preview course

    Guan,H. / Gao,Z. / Guo,K. et al. | Automotive engineering | 2000


    Driver Fuzzy Decision Making Model of Vehicle Preview Course

    Guan, Hsin / Guo, Konghui / Gao, Zhenhai | SAE Technical Papers | 2000


    Driver fuzzy decision making model of vehicle preview course

    Guan, H. / Gao, Z. / Guo, K. | Tema Archive | 2000


    Decision-making method for safe driving of large commercial vehicle in urban low-speed environment

    LI XU / HU WEIMING / HU YUE et al. | European Patent Office | 2022

    Free access

    Commercial vehicle co-driver seat

    GAO JUNWEI / HUANG SEN / ZHAO WEIYAN et al. | European Patent Office | 2021

    Free access