Multi-scale spatiotemporal analysis of shared bike-metro interactions in Shanghai: Implications for sustainable urban mobility

IF 4.8 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management Pub Date : 2026-03-01 Epub Date: 2026-02-13 DOI:10.1016/j.rtbm.2026.101627

Jianming Cai , Ying Zhou , Yaxin Wang , Yanzi Xiao , Ruiting Cai

{"title":"Multi-scale spatiotemporal analysis of shared bike-metro interactions in Shanghai: Implications for sustainable urban mobility","authors":"Jianming Cai , Ying Zhou , Yaxin Wang , Yanzi Xiao , Ruiting Cai","doi":"10.1016/j.rtbm.2026.101627","DOIUrl":null,"url":null,"abstract":"<div><div>Shared bikes and metro systems intertwine to enhance low-carbon urban mobility, yet their diverse interactions, including connectivity, substitution, and gap-filling, pose untapped potential for sustainable transport. This study pioneers a multi-scale spatiotemporal weighted regression (MSTWR) model, using Shanghai's trip data, to outperform geographically and temporally weighted regression (GTWR) by 18% with tailored bandwidths, revealing how residential zones and bicycle lanes enhance connectivity in morning peaks. High metro density unexpectedly curbs substitution, while mixed land use subtly dampens bike usage with varied transit options. Environmentally, shared bikes in Shanghai's central district reduce approximately 143.81 tons of daily CO<sub>2</sub> emissions, with connective trips dominating at 48.32%. While usage-phase emissions offset 31.42% of the total benefits, presenting a striking operational challenge. This study advances sustainable mobility theory by uncovering scale-sensitive interaction mechanisms and proposes actionable strategies integrating infrastructure investment, land use planning, and behavioral incentives to achieve carbon neutrality goals.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"66 ","pages":"Article 101627"},"PeriodicalIF":4.8000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Business and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210539526000337","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}

引用次数: 0

Abstract

Shared bikes and metro systems intertwine to enhance low-carbon urban mobility, yet their diverse interactions, including connectivity, substitution, and gap-filling, pose untapped potential for sustainable transport. This study pioneers a multi-scale spatiotemporal weighted regression (MSTWR) model, using Shanghai's trip data, to outperform geographically and temporally weighted regression (GTWR) by 18% with tailored bandwidths, revealing how residential zones and bicycle lanes enhance connectivity in morning peaks. High metro density unexpectedly curbs substitution, while mixed land use subtly dampens bike usage with varied transit options. Environmentally, shared bikes in Shanghai's central district reduce approximately 143.81 tons of daily CO₂ emissions, with connective trips dominating at 48.32%. While usage-phase emissions offset 31.42% of the total benefits, presenting a striking operational challenge. This study advances sustainable mobility theory by uncovering scale-sensitive interaction mechanisms and proposes actionable strategies integrating infrastructure investment, land use planning, and behavioral incentives to achieve carbon neutrality goals.

查看原文本刊更多论文

上海共享单车与地铁互动的多尺度时空分析：对可持续城市交通的启示

共享单车和地铁系统相互交织，以增强低碳城市交通，但它们之间的多种互动，包括连通性、替代和填补空白，为可持续交通带来了尚未开发的潜力。本研究采用多尺度时空加权回归（MSTWR）模型，利用上海的出行数据，在定制带宽的情况下，比地理和时间加权回归（GTWR）模型的表现高出18%，揭示了住宅区和自行车道如何增强早高峰的连通性。高地铁密度出人意料地抑制了替代，而混合土地使用巧妙地抑制了自行车的使用。在环境方面，上海中心区的共享单车每天减少约143.81吨的二氧化碳排放量，其中连接出行占48.32%。虽然使用阶段的排放抵消了总效益的31.42%，但这给运营带来了巨大挑战。本研究通过揭示规模敏感的相互作用机制来推进可持续流动性理论，并提出了整合基础设施投资、土地利用规划和行为激励的可操作策略，以实现碳中和目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Research in Transportation Business and Management Multiple-

CiteScore

7.10

自引率

8.30%

发文量

175

期刊介绍： Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector