Assessing spatial equity in employment opportunities in low-rent residential areas: Evidence from Urumqi, China
Received date: 2025-08-25
Revised date: 2026-01-14
Accepted date: 2026-03-04
Online published: 2026-03-17
Differentiation in housing costs reinforces the concentration of low-income groups in low-rent residential areas through residential location sorting, making the surrounding employment opportunity environment a crucial perspective for assessing urban inclusiveness. Using residential areas as the unit of analysis, this study proposed a multidimensional framework for evaluating the spatial equity of urban employment by jointly capturing disparities between opportunity supply and access across three dimensions: employment opportunity quantity, wage levels, and commuting accessibility. In addition, we compared spatial differentiation among residential area types under rent-based stratification. This study focused on Urumqi, a major city in Northwest China, and integrated multisource geospatial data for 3465 residential areas, including points of interest (POIs), online job postings, and rental data for residential areas. Empirical analyses were conducted using the Gini coefficient, location quotient, and Geographically Weighted Regression (GWR) model. The findings reveal marked disparities in employment access across ring road areas and rent-based groups. In the urban core, low-rent residential areas benefit from relatively favorable commuting conditions; however, the accessible employment opportunities are concentrated in low-wage service sectors. In the peripheral zone, low-rent residential areas face a dual disadvantage of limited nearby employment supply and longer commuting distances. Even when spatial conditions are comparable, low-rent residential areas are systematically disadvantaged relative to non-low-rent residential areas in realized access to both employment opportunity quantity and wage levels. This pattern indicated that capability constraints impede the conversion of spatial resources into effective access. Further analyses highlight housing costs, infrastructure quality, and residential location as key associated factors. The findings underscored the importance of coordinated, targeted policies in affordable housing delivery, the spatial distribution of employment opportunities, and improvements in transport accessibility to promote urban spatial justice.
FAN Liqin , LEI Jun , ZHANG Shubao , DUAN Zuliang . Assessing spatial equity in employment opportunities in low-rent residential areas: Evidence from Urumqi, China[J]. Regional Sustainability, 2026 , 7(2) : 100333 . DOI: 10.1016/j.regsus.2026.100333
| [1] | Allen J., Farber S., 2020. Suburbanization of transport poverty. Annals of the American Association of Geographers. 111(6), 1833-1850. |
| [2] | Ashik F.R., Mim S.A., Neema M.N., 2020. Towards vertical spatial equity of urban facilities: An integration of spatial and aspatial accessibility. Journal of Urban Management. 9(1), 77-92. |
| [3] | Bangura M., Lee C.L., 2023. The determinants of homeownership affordability in Greater Sydney: Evidence from a submarket analysis. Housing Studies. 38(2), 206-232. |
| [4] | Bastiaanssen J., Johnson D., Lucas K., 2025. The relationship between individual employment probabilities and accessibility to matching jobs: A study of the Netherlands. Transportation Research Part A: Policy and Practice. 193, 104398, doi: 10.1016/j.tra.2025.104398. |
| [5] | Benner C., Karner A., 2016. Low-wage jobs-housing fit: identifying locations of affordable housing shortages. Urban Geography. 37(6), 883-903. |
| [6] | Benra F., Nahuelhual L., 2019. A trilogy of inequalities: Land ownership, forest cover and ecosystem services distribution. Land Use Policy. 82, 247-257. |
| [7] | Blumenberg E., King H., 2021. Jobs-housing balance re-re-visited. Journal of the American Planning Association. 87(4), 484-496. |
| [8] | Brunsdon C., Fotheringham A.S., Charlton M.E., 1996. Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis. 28(4), 281-298. |
| [9] | Burzynski M., Deuster C., Docquier F., 2020. Geography of skills and global inequality. Journal of Development Economics. 142, 102333, doi: 10.1016/j.jdeveco.2019.02.003. |
| [10] | Calvert T., Crawford F., Parkhurst G., et al., 2022. Perceived accessibility of employment sites by jobseekers and the potential relevance of employer-subsidised demand responsive transport to enhance the commute. Cities. 130, 103872, doi: 10.1016/j.cities.2022.103872. |
| [11] | Cellmer R., Cichulska A., Belej M., 2020. Spatial analysis of housing prices and market activity with the geographically weighted regression. Isprs International Journal of Geo-Information. 9(6), 380, doi: 10.3390/ijgi9060380. |
| [12] | Chen B.Y., Wang Y.F., Wang D.G., et al., 2018. Understanding the impacts of human mobility on accessibility using massive mobile phone tracking data. Annals of the American Association of Geographers. 108(4), 1115-1133. |
| [13] | Chen Y.J., Lin N., Wu Y.Y., et al., 2021. Spatial equity in the layout of urban public sports facilities in Hangzhou. PloS ONE. 16(9), e0256174, doi: 10.1371/journal.pone.0256174. |
| [14] | Cui B., Boisjoly G., Miranda-Moreno L., et al., 2020. Accessibility matters: Exploring the determinants of public transport mode share across income groups in Canadian cities. Transportation Research Part D-Transport and Environment. 80, 102276, doi: 10.1016/j.trd.2020.102276. |
| [15] | Fainstein S.S., 2014. The just city. International Journal of Urban Sciences. 18(1), 1-18. |
| [16] | Fan Y.L., Allen R., Sun T., 2014. Spatial mismatch in Beijing, China: Implications of job accessibility for Chinese low-wage workers. Habitat International. 44, 202-210. |
| [17] | Fol S., Gallez C., 2014. Social inequalities in urban access: Better ways of assessing transport improvements. Urban Access for the 21st Century. 46-86. |
| [18] | Fotheringham A.S., Brunsdon C., Charlton M., 2009. Geographically weighted regression. Journal of the Royal Statistical Society Series D (The Statistician). 1, 243-254. |
| [19] | Galster G., Sharkey P., 2017. Spatial foundations of inequality: a conceptual model and empirical overview. RSF: The Russell Sage Foundation Journal of the Social Sciences. 3(2), 1-33. |
| [20] | Guzman L.A., Oviedo D., Rivera C., 2017. Assessing equity in transport accessibility to work and study: The Bogotá region. Journal of Transport Geography. 58, 236-246. |
| [21] | Han H.R., Yang C.F., Wang E.R., et al., 2015. Evolution of jobs-housing spatial relationship in Beijing Metropolitan Area: A job accessibility perspective. Chinese Geographical Science. 25(3), 375-388. |
| [22] | Hernandez D., 2018. Uneven mobilities, uneven opportunities: Social distribution of public transport accessibility to jobs and education in Montevideo. Journal of Transport Geography. 67, 119-125. |
| [23] | Hess D.B., 2005. Access to employment for adults in poverty in the Buffalo-Niagara region. Urban Studies. 42(7), 1177-1200. |
| [24] | Hou X.Y., Wu G.S., Wang S.Y., et al., 2016. Spatial characters of jobs location and impacts on income of Residents in urban affordable housing of kunming. Human Geography. 31(4), 50-57 (in Chinese). |
| [25] | Hu L.Q., 2017. Job accessibility and employment outcomes: which income groups benefit the most? Transportation. 44, 1421-1443. |
| [26] | Hui E.C.M., Zhong J.W., Yu K., 2015. Housing policy, work-residence mismatch and poverty concentration. Habitat International. 48, 198-208. |
| [27] | Kain J.F., 1968. Housing segregation, negro employment, and metropolitan decentralization. The Quarterly Journal of Economics. 82(2), 175-197. |
| [28] | Kain J.F., 2004. A pioneer’s perspective on the spatial mismatch literature. Urban Studies. 41(1), 7-32. |
| [29] | Kaiser Z.R.M.A., Deb A., 2025. Sustainable smart city and Sustainable Development Goals (SDGs): A review. Regional Sustainability. 6(1), 100193, doi: 10.1016/j.regsus.2025.100193. |
| [30] | Kelobonye K., McCarney G., Xia J., et al., 2019. Relative accessibility analysis for key land uses: A spatial equity perspective. Journal of Transport Geography. 75, 82-93. |
| [31] | Korsu E., Wenglenski S., 2010. Job accessibility, residential segregation and risk of long-term unemployment in the Paris region. Urban Studies. 47(11), 2279-2324. |
| [32] | Leung K.M., Choy L.H.T., 2025. The impacts of public transportation development on gentrification and poverty in Hong Kong neighbourhoods (2006-2021). Cities. 157, 105467. doi: 10.1016/j.cities.2024.105467. |
| [33] | Li H., Wei Y.D., Wu Y.Y., 2019. Analyzing the private rental housing market in Shanghai with open data. Land Use Policy. 85, 271-284. |
| [34] | Li N., Wang J.Y., Wang H.Y., et al., 2021. Impacts of land use change on ecosystem service value in Lijiang River Basin, China. Environmental Science and Pollution Research. 28(34), 46100-46115. |
| [35] | Li S.M., Liu Y., 2016. The jobs-housing relationship and commuting in Guangzhou, China: Hukou and dual structure. Journal of Transport Geography. 54, 286-294. |
| [36] | Li X.G., Qiu D.C., Li F., et al., 2013. Matching analysis of the job and residence space of residents in the public rental housing community in Chongqing. Geographical Research. 32(8), 1457-1466 (in Chinese). |
| [37] | Litman T., 2022. Evaluating transportation equity: Guidance for incorporating distributional impacts in transportation planning. Ite Journal-Institute of Transportation Engineers. 92(4), 43-49. |
| [38] | Liu L., Huang Y.Q., Zhang W.H., 2018. Residential segregation and perceptions of social integration in Shanghai, China. Urban Studies. 55(7), 1484-1503. |
| [39] | Lucas K., 2012. Transport and social exclusion: Where are we now? Transport Policy. 20, 105-113. |
| [40] | Lu B., Zhang C., Chen T.M., 2013. Study on changes in job accessibility for the urban low-income: a case study of Beijing. City Planning Review. 37(1), 56-63 (in Chinese). |
| [41] | Ma H.T., Sun Z., Fang C.L., 2020. Risk assessment of transnational oil investment in Central Asia using a fuzzy comprehensive evaluation method. Regional Sustainability. 1(1), 11-19. |
| [42] | Mohri S.S., Mortazavi S., Nassir N., 2021. A clustering method for measuring accessibility and equity in public transportation service: Case study of Melbourne. Sustainable Cities and Society. 74, 103241, doi: 10.1016/j.scs.2021.103241. |
| [43] | Nakamura S., Avner P., 2021. Spatial distributions of job accessibility, housing rents, and poverty: The case of Nairobi. Journal of Housing Economics. 51, 101743, doi: 10.1016/j.jhe.2020.101743. |
| [44] | Nussbaum M.C., 2009. Creating capabilities: The human development approach and its implementation. Hypatia. 24(3), 211-215. |
| [45] | Pan Q.S., Jin Z.H., Liu X.J., 2020. Measuring the effects of job competition and matching on employment accessibility. Transportation Research Part D: Transport and Environment. 87, 102535, doi: 10.1016/j.trd.2020.102535. |
| [46] | Rad T.G., Alimohammadi A., 2024. A user-based approach for assessing spatial equity of attractiveness and accessibility to alternative urban parks. Geo-Spatial Information Science. 27(2), 487-504. |
| [47] | Ricciardi A.M., Xia J., Currie G., 2015. Exploring public transport equity between separate disadvantaged cohorts: a case study in Perth, Australia. Journal of Transport Geography. 43, 111-122. |
| [48] | Scheffer M., van Bavel B., van de Leemput I.A., et al., 2017. Inequality in nature and society. Proceedings of the National Academy of Sciences of the United States of America. 114(50), 13154-13157. |
| [49] | Sharifiasl S., Kharel S., Pan Q., 2023. Incorporating job competition and matching to an indicator-based transportation equity analysis for auto and transit in dallas-fort worth area. Transportation Research Record. 2677(12), 240-254. |
| [50] | Sharma G., Patil G.R., 2024. Urban spatial structure and equity for urban services through the lens of accessibility. Transport Policy. 146, 72-90. |
| [51] | Sisman S., Aydinoglu A.C., 2022. A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in Istanbul. Land Use Policy. 119, 106183, doi: 10.1016/j.landusepol.2022.106183. |
| [52] | Slovic A.D., Tomasiello D.B., Giannotti M., et al., 2019. The long road to achieving equity: Job accessibility restrictions and overlapping inequalities in the city of Sao Paulo. Journal of Transport Geography. 78, 181-193. |
| [53] | Smith D.A., Shen Y., Barros J., et al., 2020. A compact city for the wealthy? Employment accessibility inequalities between occupational classes in the London metropolitan region 2011. Journal of Transport Geography. 86, 102767, doi: 10.1016/j.jtrangeo.2020.102767. |
| [54] | Tao S., He S.Y., Luo S.L., 2020. The influence of job accessibility on local residential segregation of ethnic minorities: A study of Hong Kong. Population, Space and Place. 26(8), e2353, doi: 10.1002/psp.2353. |
| [55] | Tsou K.W., Hung Y.T., Chang Y.L., 2005. An accessibility-based integrated measure of relative spatial equity in urban public facilities. Cities. 22(6), 424-435. |
| [56] | Turok I., Borel-Saladin J., 2018. The theory and reality of urban slums: Pathways-out-of-poverty or cul-de-sacs? Urban Studies. 55(4), 767-789. |
| [57] | Van Ham M., Tammaru T., Ubarevi?ien? R., et al., 2021. Urban Socio-Economic Segregation and Income Inequality:A Global Perspective. Cham: Springer Nature. |
| [58] | Wang H., Kwan M.P., Hu M., 2020. Social exclusion and accessibility among low- and non-low-income groups: A case study of Nanjing, China. Cities. 101, 102684. doi: 10.1016/j.cities.2020.102684. |
| [59] | Wang J.X., Xu C., Pauleit S., et al., 2019. Spatial patterns of urban green infrastructure for equity: A novel exploration. Journal of Cleaner Production. 238, 117858, doi: 10.1016/j.jclepro.2019.117858. |
| [60] | Wu W.P., Wang G.X., 2021. Shifting residential and employment geography: Shanghai’s bifurcated trajectory of spatial restructuring. Cities. 113, 103142, doi: 10.1016/j.cities.2021.103142. |
| [61] | Xiao W.Y., Wei Y.D., Li H., 2021. Spatial inequality of job accessibility in Shanghai: A geographical skills mismatch perspective. Habitat International. 115, 102401, doi: 10.1016/j.habitatint.2021.102401. |
| [62] | Xie Z.M., Zhen F., Zhang S.Q., 2021. Research on spatial characteristics and influencing factors of urban employment based on big data. Urban Studies. 28(10), 48-57 (in Chinese). |
| [63] | Yao Z.Y., Kim C., 2022. Analyzing the multiscale patterns of jobs-housing balance and employment self-containment by different income groups using LEHD data: A case study in Cincinnati metropolitan area. Computers, Environment and Urban Systems. 96, 101851, doi: 10.1016/j.compenvurbsys.2022.101851. |
| [64] | Yu P.H., Chen Y.Y., Xu Q.Y., et al., 2022. Embedding of spatial equity in a rapidly urbanising area: Walkability and air pollution exposure. Cities. 131, 103942, doi: 10.1016/j.cities.2022.103942. |
| [65] | Zhang C., Cheng Z.H., Yu X.P., et al., 2020. Impact of public transportation infrastructure on employment of the low-income group in Urumqi. Progress in Geography. 39(1), 111-119 (in Chinese). |
| [66] | Zhang D.L., Ma S., Fan J.H., et al., 2023. Assessing spatial equity in urban park accessibility: an improve two-step catchment area method from the perspective of 15-mintue city concept. Sustainable Cities and Society. 98, 104824, doi: 10.1016/j.scs.2023.104824. |
| [67] | Zhang M.Z., He S.J., Zhao P.J., 2018. Revisiting inequalities in the commuting burden: Institutional constraints and job-housing relationships in Beijing. Journal of Transport Geography. 71, 58-71. |
| [68] | Zhang S.B., Lei J., Zhang X.L., et al., 2024. Assessment and optimization of urban spatial resilience from the perspective of life circle: A case study of Urumqi, NW China. Sustainable Cities and Society. 109, 105527, doi: 10.1016/j.scs.2024.105527. |
| [69] | Zhang Y.Z., Luo F.B., Dai Y.Z., et al., 2025. Changing spatial inclusion of migrants in Chinese cities: How housing matters. Habitat International. 157, 103319, doi: 10.1016/j.habitatint.2025.103319. |
| [70] | Zhou S.H., Chen L.P., Wu Z.D., 2010. The jobs-housing relocation and spatial matching of residents in alleviatory housing neighborhoods in Guangzhou. Geographical Research. 29(10), 1735-1745 (in Chinese). |
| [71] | Zhou S.H., Wu Z.D., Cheng L.P., 2013. The impact of spatial mismatch on residents in low-income housing neighbourhoods: A study of the Guangzhou metropolis, China. Urban Studies. 50(9), 1817-1835. |
| [72] | Zhu L., Shi F., 2022. Spatial and social inequalities of job accessibility in Kunshan city, China: Application of the Amap API and mobile phone signaling data. Journal of Transport Geography. 104, 103451, doi: 10.1016/j.jtrangeo.2022.103451. |
| [73] | Zou X., Ma X., Shi X.P., 2021. How does affordable housing supply affect commercial housing prices: Crowd out supply or divert demand? Journal of Finance and Economics. 47(11), 49-63 (in Chinese). |
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