Analytical Framework for Evaluating Potential Truck Parking Locations

التفاصيل البيبلوغرافية
العنوان: Analytical Framework for Evaluating Potential Truck Parking Locations
المؤلفون: Na Cui, Yun Bai, Taesung Hwang, Christian Higgins
المصدر: International Journal for Innovation Education and Research. 9:240-253
بيانات النشر: International Journal for Innovation Education and Research, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Truck, Transport engineering, Computer science, ComputerApplications_COMPUTERSINOTHERSYSTEMS, General Medicine
الوصف: As the number of trucks on the road continues to increase, mandatory rest periods combined with a decreasing number of parking spaces and amenities geared towards truck drivers have created a paradoxical yet often overlooked issue of truck parking shortage. Especially within the urbanized landscape of New Jersey, truck stops are rarely considered as the highest and best use form of development and those that exist are often expensive to operate. Most of the existing research on this issue has focused on parking demand modeling or applications of the intelligent transportation system technology to improve the use of existing truck stops. Nonetheless, limited previous research has focused on expanding truck parking capacity. This study develops a methodological framework for evaluating some of the important social, economic, and environmental factors when planning the development of a new truck parking facility. With an example application to the State of New Jersey, this study presents a step-by-step analytical process to help prioritize potential truck parking locations.
تدمد: 2411-2933
2411-3123
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::42151d8631d11fc40581653f7e6fed7a
https://doi.org/10.31686/ijier.vol9.iss9.3334
حقوق: OPEN
رقم الأكسشن: edsair.doi...........42151d8631d11fc40581653f7e6fed7a
قاعدة البيانات: OpenAIRE