Big and Open Data for High-quality Transit Access: Design, Features, and Performance of Multi-modal Transit Catchment Areas
Author:   Jiangping Zhou (Associate Professor, Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780323954808


Pages:   200
Publication Date:   01 April 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Big and Open Data for High-quality Transit Access: Design, Features, and Performance of Multi-modal Transit Catchment Areas


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Author:   Jiangping Zhou (Associate Professor, Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
ISBN:  

9780323954808


ISBN 10:   0323954804
Pages:   200
Publication Date:   01 April 2024
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Jiangping Zhou is Associate Professor and Deputy Director of the Master of Urban Planning program at University of Hong Kong (HKU). He is Chief Examiner of Master of Transport Policy and Planning at HKU. He regularly delivers sessions on big data analytics on public transportation for HKU’s Master of Urban Analytics program. His research focuses on transport/transit systems and land use connections and how to improve their performance. He has published more than 70 articles in English in leading journals such as Proceedings of National Academy of Sciences of the United States of America, Urban Studies, and Journal of American Planning Association. He also has more than 60 refereed articles in the Chinese language. He is currently leading several research projects exploring the nexus of physical infrastructure, land use, and travel behaviors and how better/new data supply/analytics can produce new insights into it and can inform public policies.

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