Methodological Framework Development for Evaluating Highway Truck Parking Location and Capacity Expansion

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 a highest and best use form of development and those that exist are often expensive to operate. From the policy and public sector aspect, numerous regional-based studies have aimed to examine the magnitude of the truck parking issue, primarily in the most urbanized areas. Much of the additional existing research on this issue has focused on parking demand modeling and the use of intelligent transportation systems (ITS) technology to improve existing truck stops. Little research however has focused on identifying the precise steps and considerations involved with actually expanding parking capacity. This study is meant to serve as the next step in the process, through the development of a comprehensive cost-benefit analysis (CBA) based methodological framework aimed at developing or expanding truck stops. Addressing economic, fiscal, environmental and roadway safety factors, particularly through the scope of New Jersey, the ultimate goal is a framework that can be utilized by the private and public sectors statewide and elsewhere. The framework and its application to empirical case studies provide useful insights to both public and private agencies into addressing regional parking capacity shortfall and safety concerns.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; Maps; Photos; References; Tables;
  • Pagination: 83p

Subject/Index Terms

Filing Info

  • Accession Number: 01748355
  • Record Type: Publication
  • Report/Paper Numbers: CAIT-UTC-NC15
  • Contract Numbers: DTRT13-G-UTC28
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Aug 12 2020 2:37PM