PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (12): 1890-1902.doi: 10.18306/dlkxjz.2019.12.006

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Job-housing relationship of people with housing difficulties and influencing factors in Nanjing City

WU Xianghua1, CHEN Xinyu1, YUAN Feng1,*()   

  1. 1. School of Economics and Management, Nanjing Tech University, Nanjing 211800, China
    2. Key Laboratory ofWatershed Geographic Sciences, Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China
  • Received:2018-12-27 Revised:2019-03-22 Online:2019-12-28 Published:2019-12-28
  • Contact: YUAN Feng E-mail:fyuan@niglas.ac.cn
  • Supported by:
    National Natural Science Foundation of China(41671133)

Abstract:

Job-housing relationship is not only a reflection of urban residents' daily activities, but also an important criterion for assessing the quality of urban spatial layout. Since the economic reform of China in 1978, the original system of jobs and housing allocation has undergone considerable changes. Along with economic development and industrial upgrading, suburbanization process of manufacturing industry has taken place. Because of the reform of housing system and the suburbanization of industries in China, urban residents suffer from the impact of spatial mismatch between residence and work. Newly-employed college graduates, migrant workers, and low- and middle-income people often face the problem of unequal housing opportunities as well as unique problems in job-housing relationship. In order to investigate the job-housing relationship of people with housing difficulties, this study took 873 questionnaires in Nanjing City and analyzed the job-housing characteristics of people with housing difficulties. A two-step clustering method was employed to examine commuting flow pattern. After clustering, multinomial Logistic regression models were applied to explore the impact factors of commuting time and method. Finally, Gulou District was used as a case to analyze the job-housing relationship of people with housing difficulties. The results show that newly-employed college graduates mainly commute within the inner city. Their commuting time is the shortest among the three groups of people with housing difficulties. Their job-housing relationship is affected by commuter flow and work unit. Migrant workers mainly commute outside the inner city. They have the lowest level of commuter motorization. Their job-housing relationship is significantly affected by commuter flow, work unit, and gender. Low- and middle-income people mainly commute outside the inner city, with the highest level of separation of work and residence. Their job-housing relationship is mainly affected by the type of housing. The case of Gulou District further shows that the main characteristics of the job-housing relationship of people with housing difficulties are that newly-employed college graduates prioritize traffic condition considerations, migrant workers prioritize consideration of location of workplace, and low- and middle-income people prioritize consideration of location of residence.

Key words: job-housing relationship, housing difficulties, multinomial Logistic regression, Nanjing City,China