Proposal Summary and Objectives

City curbs and sidewalks are becoming ever more crowded as ride-hail companies and delivery businesses compete for pick-up and drop-off locations, and bike-share programs and dockless scooters are present in abundance in the communities across the nation. The demand for curb has grown so rapidly that local land-use planners and regulators are struggling to create policies to keep the pace of new mobility and increased delivery needs. Advancing technology innovation, growing frustration with congestion, and increasing environmental regulation have congregated to create a demand for a wider range of services with new approaches to meet urban mobility needs. As a response to this problem, some cities have chosen to dedicate more curb spaces for pick-up and drop-off locations, but the static allocation of space is inefficient when demand types and rates fluctuate hourly and daily. This work will study the effectiveness of a robust dynamic curb management environment in urban areas to reduce urban congestion and increase mobility and accessibility. Another key objective of this study is to develop a traffic simulation module that incorporates a parking choice model to select suitable parking facilities for all the modes and further finds the optimal allocation of the curb space for various uses that the overall transportation system performance can be enhanced.

Funding Amount: $104,000
Status: Active
Duration: Sep 1, 2020 - Aug 31, 2021