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Article: The rise of big data on urban studies and planning practices in China: Review and open research issues
| Title | The rise of big data on urban studies and planning practices in China: Review and open research issues |
|---|---|
| Authors | |
| Keywords | Big data China Review Urban planning Urban studies |
| Issue Date | 2015 |
| Citation | Journal of Urban Management, 2015, v. 4, n. 2, p. 92-124 How to Cite? |
| Abstract | The year 2014 marked the rapid expansion of big data in urban studies and planning practices in China. Big data has advantages of revealing individual characteristics rather than a general feature by traditional statistics, and it is consistent with the idea of people-oriented urbanization and urban–rural planning. The research progress of big data since 2000 in China is reviewed in this paper. Focusing on behavior big data mining and big data application in urban studies and planning practices, the review is proposed from four parts, involving behavior data acquisition & analysis, spatial analysis, plan making & management application and new methodologies with big data. Lastly, some open research issues such as potential challenges and possible directions of development are discussed. |
| Persistent Identifier | http://hdl.handle.net/10722/315295 |
| ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 1.049 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hao, Jinwei | - |
| dc.contributor.author | Zhu, Jin | - |
| dc.contributor.author | Zhong, Rui | - |
| dc.date.accessioned | 2022-08-05T10:18:22Z | - |
| dc.date.available | 2022-08-05T10:18:22Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.citation | Journal of Urban Management, 2015, v. 4, n. 2, p. 92-124 | - |
| dc.identifier.issn | 2226-5856 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/315295 | - |
| dc.description.abstract | The year 2014 marked the rapid expansion of big data in urban studies and planning practices in China. Big data has advantages of revealing individual characteristics rather than a general feature by traditional statistics, and it is consistent with the idea of people-oriented urbanization and urban–rural planning. The research progress of big data since 2000 in China is reviewed in this paper. Focusing on behavior big data mining and big data application in urban studies and planning practices, the review is proposed from four parts, involving behavior data acquisition & analysis, spatial analysis, plan making & management application and new methodologies with big data. Lastly, some open research issues such as potential challenges and possible directions of development are discussed. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Journal of Urban Management | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Big data | - |
| dc.subject | China | - |
| dc.subject | Review | - |
| dc.subject | Urban planning | - |
| dc.subject | Urban studies | - |
| dc.title | The rise of big data on urban studies and planning practices in China: Review and open research issues | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1016/j.jum.2015.11.002 | - |
| dc.identifier.scopus | eid_2-s2.0-85066757194 | - |
| dc.identifier.volume | 4 | - |
| dc.identifier.issue | 2 | - |
| dc.identifier.spage | 92 | - |
| dc.identifier.epage | 124 | - |
| dc.identifier.eissn | 2589-0360 | - |
| dc.identifier.isi | WOS:000453153700003 | - |