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《Acta Geographica Sinica》 2017-08
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Examining the dual-levels impact of neighbourhood and individual variables on car use on weekdays in Guangzhou

ZHOU Suhong;SONG Jiangyu;SONG Guangwen;School of Geography and Planning,Sun Yat-sen University;Guangdong Key Laboratory for Urbanization and Geo-simulation;  
The relationship between car travel and built environment is one of the hot issues in the urban studies.The existing researches mainly focus on the respective effects on car travel of individual demographic variables and built environment variables on car travel.Under the background of China's urban transformation and the social space differentiation,a growing number of scholars have examined the relationship between residents' demographics and their residential built environment.Quantifying the relative roles of the individual social attributes and the built environment in influencing car travel has a policy implication.This study applied a multilevel logit model which contains individual-level variables and neighbourhood-level variables to explore the impact on car use.It is concluded that urban residents' working-day car travel is influenced by multilevel variables associated to neighbourhood types.Most of the variation in the travel mode choice is caused by the difference among neighbourhoods.Travel mode choices have a strong neighbourhood contextual effect on car travel.As for the individual level,lower income and education level,collective unit profession,less minors in a family may help refrain the choice of automobile travel.As for the community level,improving bus stops density,building density,land mixing degree and commercial accessibility may help reduce car use ratio of working-day activities' travel.The mechanism of the relationship between two kinds of variables lies in the strength of market effect on urban residential space reconstruction.The residents who have similar social and economic attributes tend to choose the same type of neighbourhood,which has a similar built environment.These conclusions help us to have a better understanding of the mechanism behind the urban residents' working-day car travel and provide suggestions to alleviate the traffic problem by adjusting the multilevel variables in the similar type of community.
【Fund】: 国家自然科学基金优秀青年基金项目(41522104);国家自然科学基金重点项目(41531178);; 中央高校基本科研业务费专项资金(15lgjc24)~~
【CateGory Index】: F572.88
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