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dc.contributor.advisorSiqi Zheng.en_US
dc.contributor.authorLyu, Jinghong.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Urban Studies and Planning.en_US
dc.date.accessioned2020-02-28T20:53:27Z
dc.date.available2020-02-28T20:53:27Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123975
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 71-73).en_US
dc.description.abstractThe dockless bike-sharing system emerged in 2016 in China. It achieves door-to-door connection and is thus regarded as an efficient solution to the urban last mile problem. Empirical studies have found that the entry of dockless bikes can flatten the rent price gradient for subway accessibility for 10 Chinese cities on average, yet haven't discussed if this effect also exists in a single city where subway accessibility varies across locations. This study uses difference-in-differences (DID) empirical design to analyze the impact of dockless bike-sharing on Beijing's rental market, and further explores the spatial heterogeneity of such impact. Results show that the rental price gradient flattens slightly for apartments within the 3km radius from a subway station in Beijing.en_US
dc.description.abstractTaking the heterogeneity of development in Beijing into account, the study further finds that the rental price gradient becomes slightly steeper in more developed areas such as North Beijing or Beijing within the 4th Ring Road, and flattens by up to 16% in less developed areas such as South Beijing and Beijing outside the 4th Ring Road. Such impact on rental price gradient is not linear within the 3km radius, where in more developed areas the largest reduction in gradient happens at 1000-2000m, and in less developed areas at 0-500m. The entry of dockless bike-sharing system can generate great social benefits. Switching from walking to biking from homes to subway stations saves about 8.3 minutes of commuting time per trip on average in Beijing, where the most developed area saves 7.24 minutes and the least developed saves 11.8 minutes.en_US
dc.description.abstractAllowing for a 10-min commuting time from homes to subway stations, a tenant would be able to choose from apartments within 800m to subway stations to up to 3km to subway stations. This study contributes to the nascent literature on dockless bike-sharing systems and its impacts on housing rental market, and also yields policy implications for better integrating the bike-sharing system and the existing public transit systems, and the resulted benefit of enhancing housing supply in public transit accessible locations.en_US
dc.description.statementofresponsibilityby Jinghong Lyu.en_US
dc.format.extent73 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectUrban Studies and Planning.en_US
dc.titleWill dockless bike sharing system alter the subway price premium in rental market? : evidence from Beijingen_US
dc.typeThesisen_US
dc.description.degreeM.C.P.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.identifier.oclc1140509324en_US
dc.description.collectionM.C.P. Massachusetts Institute of Technology, Department of Urban Studies and Planningen_US
dspace.imported2020-02-28T20:53:26Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentUrbStuden_US


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