A Data-Driven and Integrated Evaluation of Area-wide Impacts of Double Parking Using Macroscopic and Microscopic Models

TL;DR

This paper introduces a data-driven framework combining microscopic and macroscopic models to evaluate the widespread impacts of double parking on urban traffic, aiding better enforcement and management strategies.

Contribution

It presents a novel integrated approach for estimating double parking frequency and assessing its area-wide impacts using combined traffic models.

Findings

Provides insights on locations with greatest benefits from removing double parking

Enables targeted parking enforcement strategies

Improves understanding of double parking effects on traffic flow

Abstract

Double parking that often negatively affects traffic operations and safety is not a new phenomenon on urban streets. This study proposes a novel data-driven integrated framework for estimating the actual frequency of double parking so that both microscopic and macroscopic models can be utilized to quantify area-wide impacts in the presence of double parking. The findings of the study can provide transportation agencies with useful insights on identifying locations that will experience the greatest benefits by removing problematic double parking. As a result, various parking enforcement and management strategies can be planned more effectively.