Giving parking the time of day: A case study of a novel parking occupancy measure and an evaluation of infill development and carsharing as solutions to parking oversupply

In the US, parking is oversupplied in both residential and commercial settings, a consequence of the widespread application of minimum parking standards, which typically supply excess parking for peak-hour demand. Yet the evidence base for specific parking reforms is thin, and alternatives to the peak-hour metric still under-explored. In this illustrative case study, the author studies time-of-day parking occupancy in a 146-unit apartment complex in Davis, CA to obtain preliminary results, demonstrate new data collection and analysis methods that can be applied at a wider scale, and explore policy analyses that are facilitated by this novel, detailed parking behavior information. First, the author systematically observes parking occupancy in the apartment complex to understand hourly variation. The author finds that the peak and off-peak occupancy rates in the apartment complex are 55% and 34%. The author calculates that the 45% of spaces left unused across a day could be converted to roughly 32 new townhouses. The author also estimates a multilevel latent class analysis to identify distinct patterns of household parking use and find that 54% of households could be likely candidates for carshare adoption. The author concludes by noting implications for housing availability, shared parking standards, the rise of shared and autonomous vehicles, and future research.

• Record URL:
  • https://doi.org/10.1016/j.rtbm.2018.03.003
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2210539517301050
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22105395
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Thigpen, Calvin G
  • 0000-0003-4284-2882
• Publication Date: 2018-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 108-115
• Serial:
  • Research in Transportation Business & Management
  • Volume: 29
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-5395
  • Serial URL: http://www.sciencedirect.com/science/journal/22105395

Subject/Index Terms

• TRT Terms: Business districts; Case studies; Parking; Peak periods; Periods of the day; Residential areas; Supply; Vehicle sharing
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01712753
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2019 11:02AM