How to Improve Urban Delivery Routes' Efficiency Considering Cruising for Parking Delays

22 Pages Posted: 6 Aug 2022

See all articles by Klaas Fiete Krutein

Klaas Fiete Krutein

University of Washington

Giacomo Dalla Chiara

University of Washington

Todor Dimitrov

University of Washington

Anne Goodchild

University of Washington

Abstract

This paper explores the value of information on parking availability in urban environments for commercial vehicle deliveries. The research investigated how historic cruising and parking delay data can be leveraged to improve the routes of carriers in urban environments to increase cost efficiency. To do so, the research developed a methodology consisting of a travel time prediction model and a routing model to account for parking delay estimates. The method was applied both to a real-world case study to show its immediate application potential and to a synthetic data set to identify environments and route characteristics that would most benefit from considering this information. Results from the real-world data set showed a mean total drive time savings of 1.5 percent. The synthetic data set showed a potential mean total drive time savings of 21.6 percent, with routes with fewer stops, a homogeneous spatial distribution, and a higher cruising time standard deviation showing the largest savings potential at up to 62.3 percent. The results demonstrated that higher visibility of curb activity for commercial vehicles can reduce time per vehicle spent in urban environments, which can decrease the impact on congestion and space use in cities.

Keywords: vehicle routing, parking efficiency, urban freight, logistics efficiency, parking cruising

Suggested Citation

Krutein, Klaas Fiete and Dalla Chiara, Giacomo and Dimitrov, Todor and Goodchild, Anne, How to Improve Urban Delivery Routes' Efficiency Considering Cruising for Parking Delays. Available at SSRN: https://ssrn.com/abstract=4183322 or http://dx.doi.org/10.2139/ssrn.4183322

Klaas Fiete Krutein (Contact Author)

University of Washington ( email )

Seattle, WA 98195
United States

Giacomo Dalla Chiara

University of Washington ( email )

Todor Dimitrov

University of Washington ( email )

Seattle, WA 98195
United States

Anne Goodchild

University of Washington ( email )

Seattle, WA 98195
United States

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