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Kent Larson. Sakai, Yasushi, (Data scientist) Massachusetts Institute of Technology Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) 2018-03-12T19:28:22Z 2018-03-12T19:28:22Z 2017 2017 http://hdl.handle.net/1721.1/114065 1026502800 Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 105-109). Present urban planning issues require to involve the public in the urban design process, and this slow and complicated process remains the primary domain of expert planners and consultants. Although there have been many attempts to leverage new mobile tools to engage the community. These tools support the three stages of planning 1. data collection 2. analysis and visualization three solutions. Within these tools, some gather unstructured data that is hard to convert into physical interventions. Also, some applications are not designed to encourage debate and consensus building. This study will consider how a structured integrated tool will help the process of grassroots urban design. This thesis will focus on the development of a bottom-up, crowd-sourced, urban planning tool to improve the quality and safety of urban bike lanes. A mobile application will be developed to enable non-experts to actively participate in the process of real time data collection and feedback, mapping, selection of solutions, and the establishment of priorities. The system will be evaluated using both quantitative and qualitative methods, compared to present methods on bottom up interventions. by Yasushi Sakai. S.M. 109 pages eng Massachusetts Institute of Technology MIT 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. http://dspace.mit.edu/handle/1721.1/7582 Program in Media Arts and Sciences () Bikebump : collective urban design Collective urban design Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="74ecc5cc-50be-49d7-9ed5-53e8c0ebfe7d"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Bikebump : collective urban design</Title> <Subtitle>Collective urban design</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Sakai, Yasushi, (Data scientist) Massachusetts Institute of Technology</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Program in Media Arts and Sciences ()</Keyword> <Abstract>Present urban planning issues require to involve the public in the urban design process, and this slow and complicated process remains the primary domain of expert planners and consultants. Although there have been many attempts to leverage new mobile tools to engage the community. These tools support the three stages of planning 1. data collection 2. analysis and visualization three solutions. Within these tools, some gather unstructured data that is hard to convert into physical interventions. Also, some applications are not designed to encourage debate and consensus building. This study will consider how a structured integrated tool will help the process of grassroots urban design. This thesis will focus on the development of a bottom-up, crowd-sourced, urban planning tool to improve the quality and safety of urban bike lanes. A mobile application will be developed to enable non-experts to actively participate in the process of real time data collection and feedback, mapping, selection of solutions, and the establishment of priorities. The system will be evaluated using both quantitative and qualitative methods, compared to present methods on bottom up interventions.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>