Acta Geographica Sinica ›› 2015, Vol. 70 ›› Issue (6): 919-930.doi: 10.11821/dlxb201506006

• Orginal Article • Previous Articles     Next Articles

Impact of land-use mixed degree on resident's home-work separation in Beijing

Yunxiao DANG1,2,3,4(), Guanpeng DONG4, Jianhui YU1,2(), Wenzhong ZHANG1,2, Li CHEN1,2,5   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
    4. School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
    5. CAS Research Center on Fictitious Economy & Data Science, Beijing 100190, China
  • Received:2014-06-05 Revised:2015-02-03 Online:2015-06-20 Published:2015-06-20
  • Supported by:
    Key Project of National Natural Science Foundation of China, No.41230632;National Natural Science Foundation of China, No.41201169

Abstract:

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.

Key words: multilevel modelling, land-use mixed degree, home-work separation, Beijing