Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93514
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.creator | Wu, W | en_US |
dc.creator | Yao, Y | en_US |
dc.creator | Song, Y | en_US |
dc.creator | He, D | en_US |
dc.creator | Wang, R | en_US |
dc.date.accessioned | 2022-07-08T01:02:53Z | - |
dc.date.available | 2022-07-08T01:02:53Z | - |
dc.identifier.issn | 1618-8667 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93514 | - |
dc.language.iso | en | en_US |
dc.publisher | Urban & Fischer | en_US |
dc.rights | © 2021 Elsevier GmbH. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Wu, W., Yao, Y., Song, Y., He, D., & Wang, R. (2021). Perceived influence of street-level visible greenness exposure in the work and residential environment on life satisfaction: Evidence from Beijing, China. Urban Forestry & Urban Greening, 62, 127161 is available at https://doi.org/10.1016/j.ufug.2021.127161 | en_US |
dc.subject | Greespace | en_US |
dc.subject | Neighbourhood | en_US |
dc.subject | Street view data | en_US |
dc.subject | Well-being | en_US |
dc.subject | Workplace | en_US |
dc.title | Perceived influence of street-level visible greenness exposure in the work and residential environment on life satisfaction : evidence from Beijing, China | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 62 | en_US |
dc.identifier.doi | 10.1016/j.ufug.2021.127161 | en_US |
dcterms.abstract | Sensing urban greenness from street view data offers a new and alternative way of measuring the association between greenness exposure and subjective wellbeing in developing countries where traditional census data are poor. This paper focuses on the association between life satisfaction and street-level visible greenness exposure at residential and work locations, using a combination of sensor data and individual cross-sectional survey data (4619 employed respondents) in Beijing, China. We use a single self-reported question (‘“how well are you satisfied with your life as a whole”’) to measure life satisfaction. Street View Greenness (SVG) is taken as a surrogate for street-level visible greenness exposure at residential and work locations. The results suggest that street-level visible greenness exposure in residential locations is positively associated with perceived satisfaction, though such effects are less significant after considering greenness exposure at work locations. The stratified analysis provides the insight that the associations between street-level visible greenness exposure and life satisfaction vary with individual demographic and socioeconomic characteristics such as sex, age educational attainment and income. Males, young adults, people with low income and educational attainment may benefit more from SVG exposure than other groups. Findings of this study suggest that urban greenness in residential and work environments should simultaneously be taken into the design of land use and public policies aiming to improve people's subjective wellbeing. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Urban forestry and urban greening, July 2021, v. 62, 127161 | en_US |
dcterms.isPartOf | Urban forestry and urban greening | en_US |
dcterms.issued | 2021-07 | - |
dc.identifier.scopus | 2-s2.0-85105361137 | - |
dc.identifier.eissn | 1610-8167 | en_US |
dc.identifier.artn | 127161 | en_US |
dc.description.validate | 202207 bcfc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LSGI-0022 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University; the key research base of the humanities and Social Sciences in Guangzhou | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 56138796 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Song_Perceived_Influence_Street-Level.pdf | Pre-Published version | 834.52 kB | Adobe PDF | View/Open |
Page views
48
Last Week
0
0
Last month
Citations as of May 12, 2024
Downloads
64
Citations as of May 12, 2024
SCOPUSTM
Citations
29
Citations as of May 17, 2024
WEB OF SCIENCETM
Citations
24
Citations as of May 16, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.