%0 Journal Article %A Yunxiao DANG %A Guanpeng DONG %A Jianhui YU %A Wenzhong ZHANG %A Li CHEN %T Impact of land-use mixed degree on resident's home-work separation in Beijing %D 2015 %R 10.11821/dlxb201506006 %J Acta Geographica Sinica %P 919-930 %V 70 %N 6 %X

In the last three decades, urban China has experienced drastic market-oriented reform, which has led to enormous transformation of urban spatial structure, as well as to the change of land-use pattern. Some researches at home and abroad have noticed possible impacts of land-use pattern on residents' daily commuting behaviors. However, the results are quite different. Western researchers proved that mixed land-use pattern has positive impacts on home-work separation, and a lot of domestic scholars argued that mixed land-use pattern should be encouraged in urban China. Conversely, few researchers, like Ding and Zheng, objected to mixed land-use pattern in urban China. So far, there has been limited empirical research on the impact of land-use mixed degree on home-work separation in Chinese cities. This paper attempts to contribute to the gap by providing empirical evidence for mixed land-use pattern and its impact on home-work separation in Beijing. Using the land-use map in 2004 and large-scale survey data of land use in 2005, based on multilevel model, we analyze the impact of land-use mixed degree on resident's home-work separation. The primary innovation of this paper is that, we prove the possible influences of working place attributes on individual home-work separation. More importantly, we use a more complex multilevel model in this paper, called cross-classified multilevel model based on Bayesian Monte Carlo Markov Chain method. Several conclusions are drawn as follows: (1) Land-use mixed degree of sub-district has influences on residents' home-work separation. The probability of bearing long home-work separation for residents who live in sub-districts with higher land-use mixed degree is small. (2) There are significant variances of residents' home-work distance both in living and working sub-district, implying that the correlated impact of living and working sub-district on home-work separation should be given more attention in future researches. (3) Residents' economic attribute and housing ownership have significant influence on home-work separation. The probability of bearing long home-work distance for residents living in Danwei houses is smaller than those living in commercial or affordable houses. (4) Multilevel modelling provides a more flexible and effective framework for the analysis of geographic data containing complicated nest relationship. As geography develops, MLM would be very useful in the field of urban issues.

%U https://www.geog.com.cn/EN/10.11821/dlxb201506006