Understanding multimodal travel mobilities of dockless bike-sharing and metro: A multilayer network analysis

Hui Zhang and Yu Cui

Physica A: Statistical Mechanics and its Applications, 2024, vol. 648, issue C

Abstract: The integrated use of dockless bike-sharing (DBS) and metro has greatly promoted the development of multimodal transportations. It is challenging to understand the travel mobilities of DBS and metro due to their complicated flow structures. In this paper, we propose an interconnected double-layer network to analyze the mobilities, in which each travel mode constructs a layer network. The studied area is divided into grids with same size. The grids are considered as nodes and trips between nodes are considered as edges. The edges between different layers are transfer trips that are found by space-time constraints. The results show that the metro trip network is connected more tightly with high efficiency than DBS trip network. Moreover, the Gini coefficient of aggregate network is more than 0.9, which is larger than metro trip network and DBS trip network. It is observed that the transfer ratios between layers are high in morning peak, but low in evening peak. The multiplex participation coefficient is adopted to measure the disparity of degree distributions of a node in different layers. It is found that passengers are distributed more evenly in the central area than suburbs between two layers. Our findings could be helpful in planning and managing multimodal transportations.

Keywords: Multimodal travel mobilities; Multilayer network; Dockless bike-sharing; Ridership data (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:648:y:2024:i:c:s0378437124004710

DOI: 10.1016/j.physa.2024.129962

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