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作 者:Jianxiao Liu Meilian Wang Pengfei Chen Chaoxiang Wen Yue Yu KW Chau
机构地区:[1]Department of Real Estate and Construction,Faculty of Architecture,The University of Hong Kong,Pokfulam,Hong Kong 999077,China [2]Department of Land Surveying and Geo-informatics,The Hong Kong Polytechnic University,Hung Hom,Hong Kong 999077,China [3]School of Geospatial Engineering and Science,Sun Yat-sen University,and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai 519082,China [4]Department of Urban Planning,School of Architecture and Civil Engineering,Xiamen University,Xiamen 550002,China [5]Ronald Coase Centre for Property Rights Research,HKUrbanLab,The University of Hong Kong,Pokfulam,Hong Kong 999077,China
出 处:《Geography and Sustainability》2024年第2期276-288,共13页地理学与可持续性(英文)
基 金:Guangdong Basic and Applied Basic Research Foundation(Grant No.2023A1515011174);the National Natural Science Foundation of China(Grant No.42101351).
摘 要:In the pursuit of sustainable urbanization,Bike-Sharing Services(BSS)emerge as a pivotal instrument for promoting green,low-carbon transit.While BSS is often commended for its environmental benefits,we offer a more nuanced analysis that elucidates previously neglected aspects.Through the Dominant Travel Distance Model(DTDM),we evaluate the potential of BSS to replace other transportation modes for specific journey based on travel distance.Utilizing multiscale geographically weighted regression(MGWR),we illuminate the relationship between BSS’s environmental benefits and built-environment attributes.The life cycle analysis(LCA)quantifies greenhouse gas(GHG)emissions from production to operation,providing a deeper understanding of BSS’s environmental benefits.Notably,our study focuses on Xiamen Island,a Chinese“Type Ⅱ large-sized city”(1–3 million population),contrasting with the predominantly studied“super large-sized cities”(over 10 million population).Our findings highlight:(1)A single BSS trip in Xiamen Island reduces GHG emissions by an average of 19.97 g CO_(2)-eq,accumulating monthly savings of 144.477 t CO_(2)-eq.(2)Areas in the southwest,northeast,and southeast of Xiamen Island,characterized by high population densities,register significant BSS environmental benefits.(3)At a global level,the stepwise regression model identifies five key built environment factors influencing BSS’s GHG mitigation.(4)Regionally,MGWR enhances model precision,indicating that these five factors function at diverse spatial scales,affecting BSS’s environmental benefits variably.
关 键 词:Greenhouse gases Shared mobility Carbon emission Multiscale geographically weighted regression Travel behavior Urban mobility
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