EURO 2025 Leeds
Abstract Submission

1924. Reducing Total Trip Time and Vehicle Emission through Park-and-Ride — methods and case-study

Invited abstract in session WD-39: Sustainable & Resilient Cities, stream Sustainable & Resilient Systems and Infrastructures.

Wednesday, 14:30-16:00
Room: Newlyn LG.01

Authors (first author is the speaker)

1. Ayane Nakamura
Department of Industrial and Systems Engineering, Keio University
2. Fabiana Ferracina
Tohoku University
3. Naoki Sakata
NEC Solution Innovators, Ltd.
4. Takahiro Noguchi
Keio University
5. Hiroyasu Ando
Tohoku University

Abstract

This study addresses important issues of traffic congestion and vehicle emissions in urban areas by developing a comprehensive mathematical framework to evaluate Park-and-Ride (PnR) systems. The proposed approach integrates queueing theory and emissions modeling to simultaneously assess waiting times, travel times, and vehicle emissions under various PnR usage scenarios. The methodology employs a novel combination of Monte Carlo simulation and matrix geometric analytic methods to analyze a queueing network representing PnR facilities and road traffic. Emissions are calculated using the Methodologies for Estimating Air Pollutant Emissions from Transport (MEET) framework. In this study, the social cost of emissions and total trip time (SCETT) is introduced as a comprehensive metric for evaluating PnR system performance. A case study of Tsukuba, Japan demonstrates the model’s applicability, revealing potential reductions in social costs related to total trip time and emissions through optimized PnR policies. Specifically, the study found that implementing optimal bus frequency and capacity policies could reduce total social costs by up to 30% compared to current conditions. This research contributes to the literature by providing a unified framework for evaluating PnR systems that considers both time and environmental costs, offering valuable insights for urban planners and policymakers seeking to improve transportation sustainability.

Keywords

Status: accepted


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