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Book Chapter: Big data, urban analytics and the planning of smart cities
| Title | Big data, urban analytics and the planning of smart cities |
|---|---|
| Authors | |
| Issue Date | 2020 |
| Publisher | Edward Elgar Publishing |
| Citation | Big data, urban analytics and the planning of smart cities. In Geertman, S & Stillwell, J (Eds.), Handbook of Planning Support Science, p. 179-198. Cheltenham, UK: Edward Elgar Publishing, 2020 How to Cite? |
| Abstract | Many countries have been implementing plans for smart-city development in recent years. However, how to plan a smart city effectively is still a big issue deserving further exploration. This chapter reviews the use of big data, such as mobile-phone data and transit smart-card data, which can capture spatial–temporal movement of people in a city to support the planning of smart cities. The chapter reviews how big data are captured, pre-processed and analysed. It then discusses how big data can advance our knowledge in the planning of smart cities with three examples: the study of urban structure, jobs–housing balance and low-to-moderate income group spatial distribution relating to housing policy |
| Persistent Identifier | http://hdl.handle.net/10722/287873 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yeh, AGO | - |
| dc.contributor.author | Yue, Y | - |
| dc.contributor.author | Zhou, X | - |
| dc.contributor.author | Gao, QL | - |
| dc.date.accessioned | 2020-10-05T12:04:29Z | - |
| dc.date.available | 2020-10-05T12:04:29Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Big data, urban analytics and the planning of smart cities. In Geertman, S & Stillwell, J (Eds.), Handbook of Planning Support Science, p. 179-198. Cheltenham, UK: Edward Elgar Publishing, 2020 | - |
| dc.identifier.isbn | 9781788971072 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/287873 | - |
| dc.description.abstract | Many countries have been implementing plans for smart-city development in recent years. However, how to plan a smart city effectively is still a big issue deserving further exploration. This chapter reviews the use of big data, such as mobile-phone data and transit smart-card data, which can capture spatial–temporal movement of people in a city to support the planning of smart cities. The chapter reviews how big data are captured, pre-processed and analysed. It then discusses how big data can advance our knowledge in the planning of smart cities with three examples: the study of urban structure, jobs–housing balance and low-to-moderate income group spatial distribution relating to housing policy | - |
| dc.language | eng | - |
| dc.publisher | Edward Elgar Publishing | - |
| dc.relation.ispartof | Handbook of Planning Support Science | - |
| dc.title | Big data, urban analytics and the planning of smart cities | - |
| dc.type | Book_Chapter | - |
| dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | - |
| dc.identifier.authority | Yeh, AGO=rp01033 | - |
| dc.identifier.doi | 10.4337/9781788971089.00020 | - |
| dc.identifier.hkuros | 315004 | - |
| dc.identifier.spage | 179 | - |
| dc.identifier.epage | 198 | - |
| dc.publisher.place | Cheltenham, UK | - |