中国地理科学 ›› 2021, Vol. 31 ›› Issue (2): 376-386.doi: 10.1007/s11769-021-1194-8

• 论文 • 上一篇    

Spatial Mismatch or Not? Evidence from Public Janitors in Xi'an, China

CHEN Chen1, CHENG Lin2, XIU Chunliang3, LI Jiuquan1   

  1. 1. School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China;
    2. School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China;
    3. Jangho School of Architecture, Northeastern University, Shenyang 110819, China
  • 收稿日期:2020-01-20 出版日期:2021-03-20 发布日期:2021-02-06
  • 通讯作者: CHENG Lin E-mail:chengl08@snnu.edu.cn
  • 基金资助:
    Under the auspices of the National Natural Science Foundation of China (No. 41601158, 41871162)

Spatial Mismatch or Not? Evidence from Public Janitors in Xi'an, China

CHEN Chen1, CHENG Lin2, XIU Chunliang3, LI Jiuquan1   

  1. 1. School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China;
    2. School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China;
    3. Jangho School of Architecture, Northeastern University, Shenyang 110819, China
  • Received:2020-01-20 Online:2021-03-20 Published:2021-02-06
  • Contact: CHENG Lin E-mail:chengl08@snnu.edu.cn
  • Supported by:
    Under the auspices of the National Natural Science Foundation of China (No. 41601158, 41871162)

摘要: Research on the spatial mismatch experienced by low-income minority residents is US-centric. However, spatial mismatch is not necessarily an appropriate term when considering the situation of low-wage workers in cities of northwestern China where there is higher proximity between jobs and housing and lower levels of residential segregation. This paper empirically examines the jobs-housing spatial relationship for one of the most typical low-wage groups, namely, public janitors, in Xi’an, China. Also, the causes of the jobs-housing spatial relationship are discussed in detail. Individual-level data based on in-depth interviews and questionnaires, as well as the GIS network analysis method, are used to provide baseline analyses of the jobs-housing spatial relationship. Results indicate that there is no jobs-housing spatial mismatch for public janitors in Xi’an. This can be implied from the short commuting distance and time. A basic cause is that most public janitors rent low-cost accommodation in villages-in-the-city, and in old residential quarters, near to their places of work. Other causes lie in off-peak commuting and high sensitivity to commuting distance due to the greater extent of non-motorized commuting modes. The conclusions, based on a large number of social surveys, are an illuminating analysis of the spatial mismatch issue among low-wage workers in Chinese cities.

关键词: spatial mismatch, jobs-housing spatial relationship, commuting distance, commuting time, low-wage workers, Xi’an, China

Abstract: Research on the spatial mismatch experienced by low-income minority residents is US-centric. However, spatial mismatch is not necessarily an appropriate term when considering the situation of low-wage workers in cities of northwestern China where there is higher proximity between jobs and housing and lower levels of residential segregation. This paper empirically examines the jobs-housing spatial relationship for one of the most typical low-wage groups, namely, public janitors, in Xi’an, China. Also, the causes of the jobs-housing spatial relationship are discussed in detail. Individual-level data based on in-depth interviews and questionnaires, as well as the GIS network analysis method, are used to provide baseline analyses of the jobs-housing spatial relationship. Results indicate that there is no jobs-housing spatial mismatch for public janitors in Xi’an. This can be implied from the short commuting distance and time. A basic cause is that most public janitors rent low-cost accommodation in villages-in-the-city, and in old residential quarters, near to their places of work. Other causes lie in off-peak commuting and high sensitivity to commuting distance due to the greater extent of non-motorized commuting modes. The conclusions, based on a large number of social surveys, are an illuminating analysis of the spatial mismatch issue among low-wage workers in Chinese cities.

Key words: spatial mismatch, jobs-housing spatial relationship, commuting distance, commuting time, low-wage workers, Xi’an, China