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Article

Parking Pricing in the Morning Commute Problem Considering Human Exposure to Vehicular Emissions

1
School of Modern Posts, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
3
Merced County Association of Governments, Merced, CA 95340, USA
4
National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu 610031, China
*
Author to whom correspondence should be addressed.
Systems 2024, 12(12), 548; https://doi.org/10.3390/systems12120548
Submission received: 23 October 2024 / Revised: 26 November 2024 / Accepted: 5 December 2024 / Published: 9 December 2024

Abstract

Walking is the final phase of the morning commute, during which commuters are exposed to vehicular emissions. This study proposes a novel analytical model to evaluate how emission exposure affects commuters’ departure time choices and parking behavior. Different from traditional bottleneck models, our model includes a nonlinear term in the generalized cost function to account for emission exposure. The findings reveal that, at user equilibrium, rational commuters seeking to minimize their own generalized costs will park outward, resulting in undesired scenarios in which all walking commuters suffer from emission exposure. However, we show that in a system-optimal scenario, emission exposure can be eliminated if commuters park inward; the schedule delay cost is minimized in such a parking order. To achieve this outcome, we propose a new spatiotemporal parking pricing scheme designed to reduce the overall system cost and incentivize inward parking patterns. Case studies using empirical data show that this pricing approach, independent of specific parking orders, effectively encourages inward parking, thereby minimizing emissions and improving commuter welfare. Hopefully, findings from this research can provide insights to the development of effective roadside parking pricing strategies.
Keywords: parking pricing; morning commute; system optimum; emission exposure parking pricing; morning commute; system optimum; emission exposure

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MDPI and ACS Style

Tan, Y.; Yuan, Z.; Ma, R.; Sun, Z. Parking Pricing in the Morning Commute Problem Considering Human Exposure to Vehicular Emissions. Systems 2024, 12, 548. https://doi.org/10.3390/systems12120548

AMA Style

Tan Y, Yuan Z, Ma R, Sun Z. Parking Pricing in the Morning Commute Problem Considering Human Exposure to Vehicular Emissions. Systems. 2024; 12(12):548. https://doi.org/10.3390/systems12120548

Chicago/Turabian Style

Tan, Yu, Zhenchao Yuan, Rui Ma, and Zhanbo Sun. 2024. "Parking Pricing in the Morning Commute Problem Considering Human Exposure to Vehicular Emissions" Systems 12, no. 12: 548. https://doi.org/10.3390/systems12120548

APA Style

Tan, Y., Yuan, Z., Ma, R., & Sun, Z. (2024). Parking Pricing in the Morning Commute Problem Considering Human Exposure to Vehicular Emissions. Systems, 12(12), 548. https://doi.org/10.3390/systems12120548

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