期刊
LANDSCAPE AND URBAN PLANNING
卷 224, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.landurbplan.2022.104428
关键词
Street view greenness; Mixed land-use; Life satisfaction; Interaction effect; Beijing
类别
资金
- National Natural Science Foundation of China [41971194]
- Research Center for the Industrial Development of Guangdong and its Regional Cooperation with Hong Kong, Macau and Taiwan
- Research Center for the Industrial Development of Guangdong
China's rapid urbanisation has transformed its urban built environment, with both positive and negative impacts on citizens’ wellbeing. This study investigates the effect of urban greenness and mixed land-use on residents' life satisfaction in Beijing and finds that street view greenness enhances life satisfaction at residence but depresses it at the workplace, while mixed land-use positively contributes to life satisfaction at both settings. The findings highlight the importance of promoting both urban greening and mixed land-use to create liveable cities.
China's unprecedented urbanisation in the last several decades has significantly transformed its urban built environment. On the one hand, such an urbanisation has brought about improvement in infrastructure, access to various public facilities, and opportunities for social connectivity, all of which would benefit citizen's wellbeing. On the other hand, rapid, unplanned, and unregulated urbanisation may lead to air pollution and water pollution, compact neighbourhoods, traffic noise and congestion, and lack of natural amenity, which pose various threats to urban dwellers' wellbeing and life satisfaction. Therefore, how to build liveable cities has become one of the key goals and top priorities of urban planning in China and other developing countries. This study investigates the effect of urban greenness and mixed land-use, two key dimensions defining urban liveability, on residents' life satisfaction at both residence and workplace settings in Beijing. Three big geo-coded datasets are combined, including a social survey about residents' subjective life satisfaction and demographic characteristics, eye-sensored street greenness data extracted from online platform through machine learning, and fine-grain land-use data based on point-of-interest entropy, and then taken into a Bayesian multilevel ordered logit model. The empirical results reveal that (1) street view greenness could enhance life satisfaction at residence, but depress life satisfaction at workplace; (2) mixed land-use could positively contribute to life satisfaction at both residence and workplace; and (3) there exist positive interactions between greenness and mixed land-use. These empirical findings provide practical implications for planning and constructing liveable cities in China and other countries where both urban greening and mixed land-use are promoted and embraced as core elements of the compact city and smart city ideal.
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