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The Effects of Truck Idling and Searching for Parking on Disadvantaged Communities

Author

Listed:
  • Jaller, Miguel PhD
  • Xiao, Runhua Ivan

Abstract

This project identifies factors that affect three truck-related parameters: idling, searching for parking, and parking demand. These parameters are examined in communities in Kern County California that have high air pollution levels and are located near transportation corridors, industrial facilities, and logistics centers. Daytime truck idling is concentrated in and around commercial and industrial hubs, and nighttime idling is concentrated around major roads and highway entrances and exits. Truck idling, searching for parking, and parking demand correlate with shorter distances from freight-related points-of-interest such as warehouses, increased size of nearby industrial or commercial land use, and proximity to areas of dense population or income inequality. Based onthese findings, policy recommendations include targeted anti-idling interventions, improved truck parking facilities,parking systems that provide real-time availability information to drivers, provision of alternate power sources in parkingfacilities to allow trucks to turn off, cleaner fuels and technologies, enhanced routing efficiency, stricter emission standards, and stronger land-use planning with buffer zones around residential areas.

Suggested Citation

  • Jaller, Miguel PhD & Xiao, Runhua Ivan, 2023. "The Effects of Truck Idling and Searching for Parking on Disadvantaged Communities," Institute of Transportation Studies, Working Paper Series qt9w28d01h, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt9w28d01h
    as

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    References listed on IDEAS

    as
    1. Jaller, Miguel & Pineda, Leticia & Gueldas, Yasar & Alemi, Farzad & Otay, Irem, 2020. "Fostering the Use of Zero and Near Zero Emission Vehicles in Freight Operations," Institute of Transportation Studies, Working Paper Series qt64k579cv, Institute of Transportation Studies, UC Davis.
    2. Divekar, Prasad & Han, Xiaoye & Zhang, Xiaoxi & Zheng, Ming & Tjong, Jimi, 2023. "Energy efficiency improvements and CO2 emission reduction by CNG use in medium- and heavy-duty spark-ignition engines," Energy, Elsevier, vol. 263(PB).
    3. Nevland, Erik A. & Gingerich, Kevin & Park, Peter Y., 2020. "A data-driven systematic approach for identifying and classifying long-haul truck parking locations," Transport Policy, Elsevier, vol. 96(C), pages 48-59.
    4. Skerlos, Steven J. & Winebrake, James J., 2010. "Targeting plug-in hybrid electric vehicle policies to increase social benefits," Energy Policy, Elsevier, vol. 38(2), pages 705-708, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Engineering; Trucking; trucks; parking demand; engine idling; air pollution; industrial areas; underserved communities; environmental justice;
    All these keywords.

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