Quantifying the Social Equity of Economic Performance for Different Groups of Residents in Rail Transit Station Areas

Abstract

In response to the global trend of urbanization, there has been an increasing focus on transit-oriented development (TOD). However, the prioritization of economic factors in the establishment of TOD often takes precedence over concerns for social equity. This research seeks to address this gap by examining the economic performance and demographic characteristics of 46 rail transit station areas (RSAs) in the city center of Dalian. The study employs the Gini coefficient and affinity clustering to assess the overall economic performance and inequality among different resident groups within RSAs. Furthermore, regression analysis is utilized to identify the key variables influencing economic performance equity in these areas. The results indicate significant disparities in economic dimensions among different resident groups, with station areas in commercial centers and functional core zones demonstrating higher economic performance. Housing prices and job–housing density are identified as crucial factors influencing consumer behavior across various station areas. Despite the presence of employment opportunities and urban development features in RSAs, differences in socioeconomic status and accessibility to public facilities significantly impact resident social equity. These results can assist policymakers in evaluating disparities in the allocation of RSAs among different regions and demographic groups. This study adds to the existing knowledge on equity in the economic performance of RSAs and supports the development of inclusive TOD strategies specific to different locations and populations.

Keywords

Transit-oriented development (TOD) / Economic performance / Rail transit station areas / Extend node–place model / Social equity

References

[1] Silva C, Cadima C, Castro N, Tennøy A. Public transport strategy: Minimal service vs. competitor to the car. J Transp Land Use, 2021

[2] Dawkins C, Moeckel R. Transit-induced gentrification: Who will stay, and who will go?. Hous Policy Debate, 2016, 26: 801-818

[3] Immergluck D, Balan T. Sustainable for whom? Green urban development, environmental gentrification, and the Atlanta Beltline. Urban Geogr, 2017

[4] Cappellano F, Spisto A. Transit oriented development & social equity: from mixed use to mixed framework. AEF, 2014, 11: 314-322

[5] Hwang J. The social construction of a gentrifying neighborhood: reifying and redefining identity and boundaries in inequality. Urban Affairs Rev, 2016, 52: 98-128

[6] Revington N. Gentrification, transit, and land use: moving beyond neoclassical theory. Geogr Compass, 2015, 9: 152-163

[7] Cao Z, Asakura Y, Tan Z. Coordination between node, place, and ridership: Comparing three transit operators in Tokyo. Transp Res Part D: Transp Environ, 2020, 87

[8] Caset F, Blainey S, Derudder B Integrating node-place and trip end models to explore drivers of rail ridership in Flanders Belgium. J Transp Geogr, 2020, 87

[9] Guo S, Pei T, Wang X Equity of subway accessibility: a perspective from work commute trips. Transp Res Part D: Transp Environ, 2022, 113

[10] Shao Q, Zhang W, Cao X Threshold and moderating effects of land use on metro ridership in Shenzhen: implications for TOD planning. J Transp Geogr, 2020, 89

[11] Singer ME, Cohen-Zada AL, Martens K. Core versus periphery: examining the spatial patterns of insufficient accessibility in U.S. metropolitan areas. J Transp Geogr, 2022, 100: 103321

[12] خليل بيطار KB (2021) A social equity assessment tool (SEAT) for evaluation

[13] Calthorpe P. The next American metropolis: Ecology, community, and the American dream, 1993, Princeton: Princeton architectural press

[14] Thomas R, Bertolini L. Defining critical success factors in TOD implementation using rough set analysis. J Transp Land Use, 2017

[15] Park K, Ewing R, Scheer BC, Tian G. The impacts of built environment characteristics of rail station areas on household travel behavior. Cities, 2018, 74: 277-283

[16] Phani Kumar P, Ravi Sekhar Ch, Parida M. Identification of neighborhood typology for potential transit-oriented development. Transp Res Part D: Transp Environ, 2020, 78

[17] Li Z, Han Z, Xin J Transit oriented development among metro station areas in Shanghai, China: variations, typology, optimization and implications for land use planning. Land Use Policy, 2019, 82: 269-282

[18] Vale DS. Transit-oriented development, integration of land use and transport, and pedestrian accessibility: combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbon. J Transp Geogr, 2015, 45: 70-80

[19] Zhang Y, Marshall S, Manley E. Network criticality and the node-place-design model: classifying metro station areas in Greater London. J Transp Geogr, 2019, 79

[20] Bertolini L. Spatial development patterns and public transport: the application of an analytical model in the Netherlands. Plan Pract Res, 1999, 14: 199-210

[21] Lyu G, Bertolini L, Pfeffer K. Developing a TOD typology for Beijing metro station areas. J Transp Geogr, 2016, 55: 40-50

[22] Su S, Zhao C, Zhou H Unraveling the relative contribution of TOD structural factors to metro ridership: a novel localized modeling approach with implications on spatial planning. J Transp Geogr, 2022, 100

[23] Cummings C, Mahmassani H. Does intercity rail station placement matter? Expansion of the node-place model to identify station location impacts on Amtrak ridership. J Transp Geogr, 2022, 99

[24] Zhou M, Zhou J, Zhou J Introducing social contacts into the node-place model: a case study of Hong Kong. J Transp Geogr, 2023, 107

[25] Chen Z, Li P, Jin Y Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: a case of Tokyo. Transp Policy, 2023, 132: 65-75

[26] Wang Y, Lu D, Levinson D. Equilibrium or imbalance? Rail transit and land use mix in station areas. Transportation, 2023, 50: 2403-2421

[27] Liang P, Cui X, Lin M High-speed rail effects on station area-level business commercial agglomeration: Evidence from 110 stations in China. Front Environ Sci, 2022

[28] Banister D (2018) Inequality in Transport. Alexandrine Press

[29] Beaudoin J, Lin Lawell C (2016) Is public transit’s “green” reputation deserved? Evaluating the effects of transit supply on air quality. University of California at Davis Working Paper

[30] Cervero R, Murakami J. Rail and property development in Hong Kong: Experiences and extensions. Urban Stud, 2009, 46: 2019-2043

[31] Wu L, Cheng X, Kang C A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data. Int J Digital Earth, 2020, 13: 708-726

[32] Yang J, Zhu L, Duan Y Developing metro-based accessibility: three aspects of China’s Rail+ Property practice. Transp Res Part D: Transp Environ, 2020, 81

[33] Delmelle EC. Transit-induced gentrification and displacement: The state of the debate. Advances in Transport Policy and Planning, 2021, Amsterdam: Elsevier 173-190.

[34] Padeiro M, Louro A, da Costa NM. Transit-oriented development and gentrification: a systematic review. Transp Rev, 2019, 39: 733-754

[35] Ewing R, Sabouri S, Kaniewska J, et al (2022) Is Transit-Oriented Development Affordable for Low and Moderate Income Households?

[36] Harrison P, Rubin M, Appelbaum A, Dittgen R. Corridors of freedom: Analyzing Johannesburg’s ambitious inclusionary transit-oriented development. J Plan Educ Res, 2019, 39: 456-468

[37] Renne JL, Tolford T, Hamidi S, Ewing R. The cost and affordability paradox of transit-oriented development: A comparison of housing and transportation costs across transit-oriented development, hybrid and transit-adjacent development station typologies. Hous Policy Debate, 2016, 26: 819-834

[38] Vermeiren K, Verachtert E, Kasaija P Who could benefit from a bus rapid transit system in cities from developing countries? A case study from Kampala, Uganda. J Transp Geogr, 2015, 47: 13-22

[39] He SY, Tao S, Cheung YHY Transit-oriented development, perceived neighbourhood gentrification and sense of community: a case study of Hong Kong. Case Stud Transp Policy, 2021, 9: 555-566

[40] Benner C, Karner A. Low-wage jobs-housing fit: identifying locations of affordable housing shortages. Urban Geogr, 2016, 37: 883-903

[41] Bunel M, Tovar E. Key issues in local job accessibility measurement: different models mean different results. Urban Stud, 2014, 51: 1322-1338

[42] Ye C, He Q, Huang W, Ma H. Analysis of the Spatial Distribution Characteristics of Residences and Workplaces under the Influence of Metro Transportation in Metropolises from the Perspectives of Accessibility and Travelers’ Industries: The Case of Guangzhou. Sustainability, 2022, 14: 14187

[43] Zhao P, Lu B, de Roo G. The impact of urban growth on commuting patterns in a restructuring city: Evidence from Beijing. Pap Reg Sci, 2011, 90: 735-754

[44] Blumenberg E, King H. Low-income workers, residential location, and the changing commute in the United States. Built Environ, 2019, 45: 563-581

[45] Shen Q, Chen P, Pan H. Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city. Transp Res Part A: Policy Pract, 2016, 94: 31-44

[46] Yin J, Cao XJ, Huang X. Association between subway and life satisfaction: evidence from Xi’an, China. Transp Res Part D: Transp Environ, 2021, 96: 102869

[47] Kim H, Sultana S, Weber J. A geographic assessment of the economic development impact of Korean high-speed rail stations. Transp Policy, 2018, 66: 127-137

[48] Su S, Wang Z, Li B, Kang M. Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications. J Transp Geogr, 2022, 104

[49] Wegener M, Fuerst F. Land-use transport interaction: state of the art. SSRN J, 2004

[50] Papa E, Bertolini L. Accessibility and Transit-Oriented Development in European metropolitan areas. J Transp Geogr, 2015, 47: 70-83

[51] Su S, Zhang H, Wang M Transit-oriented development (TOD) typologies around metro station areas in urban China: a comparative analysis of five typical megacities for planning implications. J Transp Geogr, 2021, 90

[52] Cooke LP. Gender equity and fertility in Italy and Spain. J Soc Policy, 2009, 38: 123-140

[53] Schenkman S, Bousquat A. From income inequality to social inequity: impact on health levels in an international efficiency comparison panel. BMC Public Health, 2021, 21: 688

[54] Singh YJ, Lukman A, Flacke J Measuring TOD around transit nodes - Towards TOD policy. Transp Policy, 2017, 56: 96-111

[55] Dou M, Wang Y, Dong S. Integrating network centrality and node-place model to evaluate and classify station areas in Shanghai. ISPRS Int J Geo Inf, 2021, 10: 414

[56] Vale DS, Viana CM, Pereira M. The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon’s subway network. J Transp Geogr, 2018, 69: 282-293

[57] Boniface S, Scantlebury R, Watkins SJ, Mindell JS. Health implications of transport: Evidence of effects of transport on social interactions. J Transp Health, 2015, 2: 441-446

[58] Cao XJ. How does neighborhood design affect life satisfaction? Evidence from Twin Cities. Travel Behav Soc, 2016, 5: 68-76

[59] Yang Y, Zhong C, Gao Q-L. An extended node-place model for comparative studies of transit-oriented development. Transp Res Part D: Transp Environ, 2022, 113

[60] Mouratidis K. Urban planning and quality of life: a review of pathways linking the built environment to subjective well-being. Cities, 2021, 115

[61] Lin D, Broere W, Cui J. Metro systems and urban development: Impacts and implications. Tunn Undergr Space Technol, 2022, 125

[62] Calvo F, De Oña J, Arán F. Impact of the Madrid subway on population settlement and land use. Land Use Policy, 2013, 31: 627-639

[63] Du H, Mulley C. The short-term land value impacts of urban rail transit: Quantitative evidence from Sunderland, UK. Land Use Policy, 2007, 24: 223-233

[64] Liu L, Zhang M, Xu T. A conceptual framework and implementation tool for land use planning for corridor transit-oriented development. Cities, 2020, 107

[65] Liao C, Scheuer B. Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model. J Transp Geogr, 2022, 100

[66] Higgins CD, Kanaroglou PS. A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region. J Transp Geogr, 2016, 52: 61-72

[67] Dueck D (2009) Affinity propagation: Clustering data by passing messages. PhD thesis

[68] Li N, Latecki LJ (2017) Affinity Learning for Mixed Data Clustering

[69] Yeganeh AJ, Hall R, Pearce A, Hankey S. A social equity analysis of the U.S. public transportation system based on job accessibility. J Trans Land Use, 2018

[70] Raza A, Zhong M, Akuh R, Safdar M. Public transport equity with the concept of time-dependent accessibility using Geostatistics methods, Lorenz curves, and Gini coefficients. Case Stud Trans Policy, 2023, 11

[71] Delbosc A, Currie G. Using Lorenz curves to assess public transport equity. J Transp Geogr, 2011, 19: 1252-1259

[72] Jang S, An Y, Yi C, Lee S. Assessing the spatial equity of Seoul’s public transportation using the Gini coefficient based on its accessibility. Int J Urban Sci, 2017, 21: 91-107

[73] Cao M, Zhang Y, Zhang Y Hickman R, Mella Lira B, Givoni M, Geurs K Using different approaches to evaluate individual social equity in transport. A Companion to Transport, Space and Equity, 2019, London: Edward Elgar Publishing

[74] Cervero R, Dai D. BRT TOD: leveraging transit-oriented development with bus rapid transit investments. Transp Policy, 2014, 36: 127-138

[75] Efthymiou D, Antoniou C. How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece. Transp Res Part A: Policy Pract, 2013, 52: 1-22

[76] Sadayuki T. Measuring the spatial effect of multiple sites: an application to housing rent and public transportation in Tokyo, Japan. Reg Sci Urban Econ, 2018, 70: 155-173

[77] Debrezion G, Pels E, Rietveld P. The impact of railway stations on residential and commercial property value: a meta-analysis. J Real Estate Finan Econ, 2007, 35: 161-180

[78] Zhao P, Cao Y. Commuting inequity and its determinants in Shanghai: new findings from big-data analytics. Transp Policy, 2020, 92: 20-37

[79] Ordóñez Medina SA, Erath A. Estimating dynamic workplace capacities by means of public transport smart card data and household travel survey in Singapore. Transp Res Rec, 2013, 2344: 20-30

[80] Qin P, Wang L. Job opportunities, institutions, and the jobs-housing spatial relationship: Case study of Beijing. Transp Policy, 2019, 81: 331-339

[81] Zhou X, Yeh AGO, Yue Y. Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data. J Transp Geogr, 2018, 68: 102-108

[82] Moniruzzaman M, Páez A. An investigation of the attributes of walkable environments from the perspective of seniors in Montreal. J Transp Geogr, 2016, 51: 85-96

Funding

National Science Fund for Distinguished Young Scholars(52308011)