Do the First- and Last-Mile Matter? Examining the Complementary and Substitution Effects of Bike-Sharing Platforms on Public Transit

Basak, Ecem; Iris, Çağatay

doi:10.2139/ssrn.4391093

Cited by 4 publications

(2 citation statements)

References 57 publications

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“…As summarized by DeMaio and Meddin [18], there are over 2000 operational systems worldwide, with a predominant presence in China, Europe, and North America. From a traveling perspective, bike sharing is mainly used as a substitute for walking and public transport [19,20].…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Tourists’ Preferences for Bike-Sharing Services in the Context of Tourism

Tru,

Ngoc

2024

Sustainability

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This study explores tourists’ preferences for bike-sharing services in the context of tourism. Based on a sample of 800 individuals who visited Da Nang, Vietnam between July and August 2023, a latent class behavior model was developed to investigate preferences for bike-sharing services from tourists’ point of view. The results show that tourists prefer a bike-sharing service that ensures round-the-clock availability, is accessible within a 5-min walk from both the origin and destination, features bikes stationed at specific designated locations, and provides a variety of payment options at an affordable rate of USD 1.00 per h. Under these attributes, about 41.63% of tourists are likely to choose a bike-sharing option for their travel tours. These findings offer valuable insights for traffic management authorities and policymakers, demonstrating that bike-sharing services can be hailed as an effective complement to existing transportation modes and can help bridge the gap between supply and demand in tourist cities.

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Section: Literature Reviewmentioning

confidence: 99%

Exploring Tourists’ Preferences for Bike-Sharing Services in the Context of Tourism

Tru,

Ngoc

2024

Sustainability

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“…Currently, the wave of digital innovation and the integration of the sharing economy has been gradually changing the way people live and travel, such as the successive popularization and promotion of bike sharing, which provides more convenient options for people to travel [45]. This is particularly significant for such a cosmopolitan city like Shanghai, where bike sharing can address the last kilometer problem, providing a valuable supplement in public transportation travel.…”

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confidence: 99%

Application of an Improved A* Algorithm for the Path Analysis of Urban Multi-Type Transportation Systems

Feng,

Zhang,

Zhu

2023

Applied Sciences

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The modern urban transportation service network could be split into unrestricted and restricted networks depending on whether travelers face limitations in route selection. Along with the continuous expansion of the city, it is difficult for travelers to find a more reasonable travel solution when confronted with such a complex transportation service network, which combines both unrestricted and restricted networks, especially for the park-and-ride (P&R) travel mode. This paper addresses the issue of route analysis in modern urban transportation service systems to provide travelers with reasonable travel solutions based on multiple types of transportation services. An improved A* algorithm is proposed to address the optimal path analysis for restricted networks to provide reasonable travel solutions for public transportation trips. Furthermore, by establishing the topological relationship between restricted and unrestricted networks, this paper presented an improved A* algorithm based on hybrid networks that solves the optimal path analysis problem for P&R trips, bringing convenience to many urban travelers.

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A Cluster-Then-Route Framework for Bike Rebalancing in Free-Floating Bike-Sharing Systems

Sun,

He,

Zhang

2023

Sustainability

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Bike-sharing systems suffer from the problem of imbalances in bicycle inventory between areas. In this paper, we investigate the rebalancing problem as it applies to free-floating bike-sharing systems in which the bicycles can be rented and returned almost anywhere. To solve the rebalancing problem efficiently, we propose a framework that includes (1) rebalancing nodes at which requirements for the redistribution (pickup or delivery) of bicycles are determined, (2) “self-balanced” clusters of rebalancing nodes, and (3) bicycle redistribution by service vehicles within each cluster. We propose a multi-period synchronous rebalancing method in which a rebalancing period is divided into several sub-periods. Based on the anticipated redistribution demand at each node in each sub-period, the service vehicle relocates bicycles between nodes. This method improves the efficiency of the system and minimizes rebalancing costs over the entire rebalancing period, rather than for a single sub-period. The proposed framework is tested based on data from the Mobike (Meituan) free-floating bike-sharing system. The test results demonstrate the effectiveness of the proposed methodologies and show that multi-period synchronous rebalancing is superior to single-period rebalancing.

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Do the First- and Last-Mile Matter? Examining the Complementary and Substitution Effects of Bike-Sharing Platforms on Public Transit

Cited by 4 publications

References 57 publications

Exploring Tourists’ Preferences for Bike-Sharing Services in the Context of Tourism

Exploring Tourists’ Preferences for Bike-Sharing Services in the Context of Tourism

Application of an Improved A* Algorithm for the Path Analysis of Urban Multi-Type Transportation Systems

A Cluster-Then-Route Framework for Bike Rebalancing in Free-Floating Bike-Sharing Systems

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