Yuanyuan Guo , Lei Wang , Fengliang Tang , He Xuan , Bin Chi
{"title":"Commercial gentrification of metro catchment: Lenses of subjective perception and objective nighttime light","authors":"Yuanyuan Guo , Lei Wang , Fengliang Tang , He Xuan , Bin Chi","doi":"10.1016/j.rtbm.2025.101310","DOIUrl":null,"url":null,"abstract":"<div><div>Metro is an essential public transportation mode, especially prevalent in major cities. Proximity to metro stations revitalizes surrounding areas, leading to enhancement of commercial activities in metro catchment areas. However, studies on commercial gentrification induced by newly built metros are severely insufficient with both subjective and objective lenses. This study delves into the commercial gentrification catalyzed by the operation of Metro Line 7 in Shenzhen, utilizing a novel approach that integrates subjective street view imagery perception scores with objective nighttime light data. By examining areas within 15-min walking catchments of metro stations, the study identifies a marked upsurge in commercial activities following the metro's operation in October 2016. Objective data indicates a rise in nighttime light intensity from an average of 37.28 units during construction to 49.23 units post-operation. Simultaneously, subjective perception scores provide insights into perceived changes in urban commercial gentrification. A steady rise of integrated trend is noticed after 2016, showing a vital impact of newly built metro line on commercial gentrification. The study employs a combination of advanced machine learning techniques and urban analysis to offer a comprehensive perspective of the commercial gentrification trend shifts driven by metro expansion. It highlights the spatial and commercial gentrification levels across different land uses within the metro catchment areas, providing valuable insights of for urban planners and policymakers.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101310"},"PeriodicalIF":4.1000,"publicationDate":"2025-02-08","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/S2210539525000252","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Metro is an essential public transportation mode, especially prevalent in major cities. Proximity to metro stations revitalizes surrounding areas, leading to enhancement of commercial activities in metro catchment areas. However, studies on commercial gentrification induced by newly built metros are severely insufficient with both subjective and objective lenses. This study delves into the commercial gentrification catalyzed by the operation of Metro Line 7 in Shenzhen, utilizing a novel approach that integrates subjective street view imagery perception scores with objective nighttime light data. By examining areas within 15-min walking catchments of metro stations, the study identifies a marked upsurge in commercial activities following the metro's operation in October 2016. Objective data indicates a rise in nighttime light intensity from an average of 37.28 units during construction to 49.23 units post-operation. Simultaneously, subjective perception scores provide insights into perceived changes in urban commercial gentrification. A steady rise of integrated trend is noticed after 2016, showing a vital impact of newly built metro line on commercial gentrification. The study employs a combination of advanced machine learning techniques and urban analysis to offer a comprehensive perspective of the commercial gentrification trend shifts driven by metro expansion. It highlights the spatial and commercial gentrification levels across different land uses within the metro catchment areas, providing valuable insights of for urban planners and policymakers.
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
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