A Model for Optimally Allocating Curbside Space Among Competing Uses

The emergence of various new forms of urban mobility services in recent years has led to new pressures on curbside space. Municipalities, the entities frequently responsible for managing the curbside, are in many instances handling these growing pressures by reallocating portions of the curbside away from traditional uses (such as metered and residential parking) in favor of uses such as ride-hailing and scooter and bike-share corrals. As yet, however, such actions are being undertaken on an ad hoc basis due to the rapidly growing complexity of the curbside and the lack of standard analytical approaches. This lack of analytical capability is due to the traditional focus of transportation network modeling predominantly on the interaction of supply and demand on links and nodes, with limited focus on link edges (the curbside). In this report, the authors address this research need by proposing an approach for modeling intermodal competition for curbside space, inspired by the classical bid-rent model of urban land use, intended to support curb managers to move toward maximizing the aspects of economic welfare that relate to curb access. In the bilevel model, choices made by the curbside manager impact travelers’ mode choices, and vice versa. The authors then present a numerical case study to demonstrate the properties of the proposed model, showing its tractability, flexibility, and intuitive sensitivity to systematic variation in inputs. The model demonstrates the type of adaptive and evolving approach needed to maximize benefits from increasingly dynamic curb management strategies.

• Record URL:
  • https://www.nrel.gov/docs/fy24osti/76527.pdf
• Corporate Authors:

  National Renewable Energy Laboratory

  Golden, CO  United States  80401
• Authors:
  • Kong, You
  • LeVine, Scott
  • Henao, Alejandro
  • Liu, Xiaobo
  • Young, Stanley
• Publication Date: 2024-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 30p

Subject/Index Terms

• TRT Terms: Access; Curb side parking; Land use; Mode choice; Optimization; Resource allocation
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01935578
• Record Type: Publication
• Report/Paper Numbers: NREL/TP-5400-76527
• Files: TRIS
• Created Date: Oct 30 2024 5:16PM