Parking Space Optimization in the Era of Private Automated Vehicles

Different deployment forms of Automated Vehicles (AVs), especially the Privately-owned AVs (PAVs) and the Shared AVs (SAVs), are envisioned to have significantly different impacts on modern transportation systems, including but not limited to parking space utilization rates, vehicle ownership, and transportation energy consumption. Previous studies suggested that if SAVs became the dominated form of mobility service in cities, there is a potential to eliminate over 90% of the existing parking spaces, via a reduction in vehicle ownership and an increase in vehicle operation time. However, the latest public opinion and perception survey indicates that the majority of the population in United States may prefer PAVs rather than SAVs. Therefore, this study is going to fill this gap by gaining understanding of the parking space requirement and empty Vehicle Miles Traveled (VMT) generation in the era of PAVs. To do so, a novel mathematical model is built to optimize the joint parking spaces shared by PAVs and conventional vehicles along with the control of empty parking VMT generation. The results suggest that PAVs cannot significantly reduce the number of parking space. However, the new technology can alter the spatial distribution of parking space in cities and if managed properly can help make use of parking space in commercial zones more efficiently. Meanwhile, similar to SAVs, PAVs may also induce transportation justice problem by concentrating parking in low-income neighborhoods.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Wang, Kaidi
  • Xie, Weijun
  • Zhang, Wenwen
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 17p

Subject/Index Terms

• TRT Terms: Automobiles; Autonomous vehicles; Mathematical models; Optimization; Parking; Parking facilities; Trip generation; Vehicle miles of travel
• Subject Areas: Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment;

Filing Info

• Accession Number: 01697949
• Record Type: Publication
• Report/Paper Numbers: 19-05868
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM