File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.cities.2023.104350
- Scopus: eid_2-s2.0-85159207473
- WOS: WOS:001001599100001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Do similar social groups have similar mobility in a city? Social areas and mobility in Shenzhen, China
Title | Do similar social groups have similar mobility in a city? Social areas and mobility in Shenzhen, China |
---|---|
Authors | |
Keywords | Mobile phone data Mobility Social areas Work trip |
Issue Date | 1-Jul-2023 |
Publisher | Elsevier |
Citation | Cities, 2023, v. 138 How to Cite? |
Abstract | Social area analysis has been applied to analyze how urban space is spatially arranged. Related studies have divided urban residents into different groups whose socioeconomic status are similar. However, few studies have attempted to explore the mobility of these social groups, especially for developing countries where census data with travel information are not readily available. This study explores whether people in the same social area have similar work mobility and whether location matters from an aggregated neighborhood perspective. A case study is conducted in Shenzhen, China with fine-grained census and mobile phone data. The neighborhood committee based census and cell tower based mobile phone data are integrated into 500 m grid for analysis. Results show that different social areas have significantly different work mobility, and the within-group heterogeneity is also prominent. Three location factors are examined and it is found that there exist variations in the influence of spatial factors on work mobility for different social areas. Findings of this study will supplement current knowledge about social areas, location and mobility in urban China at the mesoscale. In addition, the methodology provides a feasible framework of integrating city-scale socioeconomic information and mobility data from different sources for future urban studies. |
Persistent Identifier | http://hdl.handle.net/10722/338356 |
ISSN | 2023 Impact Factor: 6.0 2023 SCImago Journal Rankings: 1.733 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shi, R | - |
dc.contributor.author | Yeh, A G O | - |
dc.date.accessioned | 2024-03-11T10:28:15Z | - |
dc.date.available | 2024-03-11T10:28:15Z | - |
dc.date.issued | 2023-07-01 | - |
dc.identifier.citation | Cities, 2023, v. 138 | - |
dc.identifier.issn | 0264-2751 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338356 | - |
dc.description.abstract | <p>Social area analysis has been applied to analyze how urban space is spatially arranged. Related studies have divided urban residents into different groups whose socioeconomic status are similar. However, few studies have attempted to explore the mobility of these social groups, especially for developing countries where census data with travel information are not readily available. This study explores whether people in the same social area have similar work mobility and whether location matters from an aggregated neighborhood perspective. A case study is conducted in Shenzhen, China with fine-grained census and mobile phone data. The neighborhood committee based census and cell tower based mobile phone data are integrated into 500 m grid for analysis. Results show that different social areas have significantly different work mobility, and the within-group heterogeneity is also prominent. Three location factors are examined and it is found that there exist variations in the influence of spatial factors on work mobility for different social areas. Findings of this study will supplement current knowledge about social areas, location and mobility in urban China at the mesoscale. In addition, the methodology provides a feasible framework of integrating city-scale socioeconomic information and mobility data from different sources for future urban studies.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Cities | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Mobile phone data | - |
dc.subject | Mobility | - |
dc.subject | Social areas | - |
dc.subject | Work trip | - |
dc.title | Do similar social groups have similar mobility in a city? Social areas and mobility in Shenzhen, China | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.cities.2023.104350 | - |
dc.identifier.scopus | eid_2-s2.0-85159207473 | - |
dc.identifier.volume | 138 | - |
dc.identifier.eissn | 1873-6084 | - |
dc.identifier.isi | WOS:001001599100001 | - |
dc.identifier.issnl | 0264-2751 | - |