Simulation-based analysis of different curb space type allocations on curb performance

Curbspace is a limited resource in urban areas. Delivery, ridehailing and passenger vehicles must compete for spaces at the curb. Cities are increasingly adjusting curb rules and allocating curb spaces for uses other than short-term paid parking, yet they lack the tools or data needed to make informed decisions. In this research, we analyse and quantify the impacts of different curb use allocations on curb performance through simulation. Three metrics are developed to evaluate the performance of the curb, covering productivity and accessibility of passengers and goods, and CO2 emissions. The metrics are calculated for each scenario across a range of input parameters (traffic volume, parking rate, vehicle dwell time, and street design speed) and compared to a baseline scenario. This work can inform policy decisions by providing municipalities tools to analyse various curb management strategies and choose the ones that produce results more in line with their policy goals.

Automated summary

Curbspace in urban areas is a limited resource where delivery, ridehailing, and passenger vehicles compete for space. Cities lack the necessary tools or data to make informed decisions about curb use allocations. This research analyzes and quantifies the impact of different curb use allocations on curb performance through simulation. It provides metrics to evaluate productivity, accessibility, and CO2 emissions, allowing municipalities to analyze and choose curb management strategies aligned with their policy goals.