Optimal parking provision in multi-modal morning commute problem considering ride-sourcing service

TL;DR

This paper analyzes how ride-sourcing services and parking management influence morning commute traffic, revealing that excessive parking supply can increase overall system costs in multi-modal transportation.

Contribution

It introduces a model for optimal parking provision considering ride-sourcing, congestion, and transit, highlighting the impact of ride-sourcing on parking demand and system costs.

Findings

Excess parking spaces can lead to higher commute costs with ride-sourcing.

Ride-sourcing reduces parking demand but can increase congestion.

Optimal parking levels depend on the balance between ride-sourcing and transit.

Abstract

Managing morning commute traffic through parking provision management has been well studied in the literature. However, most previous studies made the assumption that all road users require parking spaces at CBD area. However, in recent years, due to technological advancements and low market entry barrier, more and more e-dispatch FHVs (eFHVs) are provided in service. The rapidly growing eFHVs, on one hand, supply substantial trip services and complete the trips requiring no parking demand; on the other hand, imposes congestion effects to all road users. In this study, we investigate the multi-modal morning commute problem with bottleneck congestion and parking space constraints in the presence of ride-sourcing and transit service. Meanwhile, we derive the optimal number of parking spaces to best manage the commute traffic. One interesting finding is that, in the presence of ride-sourcing, excessive supply of parking spaces could incur higher system commute costs in the multi-modal case.