Open Access
Issue
SHS Web Conf.
Volume 163, 2023
2023 8th International Conference on Social Sciences and Economic Development (ICSSED 2023)
Article Number 04010
Number of page(s) 9
Section Social Economics and Welfare Distribution
DOI https://doi.org/10.1051/shsconf/202316304010
Published online 28 April 2023
  1. Adams, J. S. (1970). Residential structure of Midwestern cities. Annals of the Association of American Geographers, 60(1), 37–62. [CrossRef] [Google Scholar]
  2. Farber S. and Paez A. (2010) Running to stay in place: the time-use implications of automobile oriented land-use and travel. Journal of Transport Geography, 19(4), 782–793 [Google Scholar]
  3. Garreau J. (1991) Edge City: Life on the New Frontier. Doubleday: New York [Google Scholar]
  4. Hartshorn T.A. (1992) Interpreting the City. Wiley: New York [Google Scholar]
  5. Cervero, R., & Duncan, M. (2004). Neighbourhood composition and residential land prices: does exclusion raise or lower values?. Urban Studies, 41(2), 299–315. [CrossRef] [Google Scholar]
  6. Litman, T. (2017). Evaluating public transit criticism systematic analysis of political attacks on high quality transit, and how transportation professionals can effectively respond. Victoria Transport Policy Institute, [Google Scholar]
  7. Smith, J. J., & Gihring, T. A. (2006). Financing transit systems through value capture: An annotated bibliography. American Journal of Economics and Sociology, 65(3), 751–786. [CrossRef] [Google Scholar]
  8. Salon, D., & Shewmake, S. (2011). Opportunities for value capture to fund public transport: A comprehensive review of the literature with a focus on East Asia. Available at SSRN 1753302. [Google Scholar]
  9. Sun, J., Chen, T., Cheng, Z., Wang, C. C., & Ning, X. (2017). A financing mode of Urban Rail transit based on land value capture: A case study in Wuhan City. Transport Policy, 57, 59–67. [CrossRef] [Google Scholar]
  10. Kahn, M. E. (2007). Gentrification trends in new transit - oriented communities: Evidence from 14 cities that expanded and built rail transit systems. Real Estate Economics, 35(2), 155–182. [CrossRef] [Google Scholar]
  11. Chapple, K. (2009). Mapping susceptibility to gentrification. ‘The early warning toolkit. Berkeley. CA. University of California-Berkeley, Center for Community Innovation. Retrieved from http://communityinnovation.berkeley.edu/reports/Gentrification-Report.pdf. [Google Scholar]
  12. Pollack, S., Bluestone, B., & Billingham, C. (2010). Maintaining diversity in America’s transit-rich neighborhoods: Tools for equitable neighborhood change. [Google Scholar]
  13. Zuk, M., Bierbaum, A. H., Chapple, K., Gorska, K., & Loukaitou-Sideris, A. (2018). Gentrification, displacement, and the role of public investment. Journal of Planning Literature, 33(1), 31–44. [CrossRef] [Google Scholar]
  14. Brown, A. E. (2016). Rubber tires for residents: Bus rapid transit and changing neighborhoods in Los Angeles, California. Transportation Research Record, 2539(1), 1–10. [CrossRef] [Google Scholar]
  15. Farber S. and Paez A. (2010) Running to stay in place: the time-use implications of automobile oriented land-use and travel. Journal of Transport Geography, 19(4), 782–793 [Google Scholar]
  16. Golub, A., & Martens, K. (2014). Using principles of justice to assess the modal equity of regional transportation plans. Journal of Transport Geography, 41, 10–20. [CrossRef] [Google Scholar]
  17. Cappellano, F., & Spisto, A. (2014). Transit oriented development & social equity: From mixed use to mixed framework. In Advanced Engineering Forum (Vol. 11, pp. 314–322). Trans Tech Publications Ltd. [CrossRef] [Google Scholar]
  18. Giuliano, G. (2005). Low income, public transit, and mobility. Transportation Research Record, 1927(1), 63–70. [CrossRef] [Google Scholar]
  19. Levine, J., & Frank, L. D. (2007). Transportation and land-use preferences and residents’ neighborhood choices: The sufficiency of compact development in the Atlanta region. Transportation, 34(2), 255–274. [CrossRef] [Google Scholar]
  20. Dong, H., & Hansz, J. A. (2016). The geography of the recent housing crisis: The role of urban form. Housing Policy Debate, 26(1), 150–171. [CrossRef] [Google Scholar]
  21. Pucher, J., & Renne, J. L. (2003). Socioeconomics of urban travel. Evidence from the 2001 NHTS. [Google Scholar]
  22. Galster, G., & Peacock, S. (1986). Urban Gentrification: Evaluating Alternative Indicators. Social Indicators Research, 18(3), 321–337. http://www.jstor.org/stable/27520676 [CrossRef] [Google Scholar]
  23. Grube-Cavers, A., & Patterson, Z. (2015). Urban rapid rail transit and gentrification in Canadian urban centres: A survival analysis approach. Urban Studies, 52(1), 178–194. [CrossRef] [Google Scholar]
  24. Fan, Y., & Guthrie, A. (2012). Assessing Neighborhood and Social Influences of Transit Corridors. Center for Transportation Studies, University of Minnesota, Minneapolis, MN. [Google Scholar]
  25. Fan, Y., & Guthrie, A. (2012). Winners or losers: Resident perceptions of transit-induced neighborhood change. Transportation research record, 2276(1), 89–100. [CrossRef] [Google Scholar]
  26. Ellen, I. G., & O’Regan, K.M. (2011). How low income neighborhoods change: Entry, exit, and enhancement. Regional Science and Urban Economics, 41(2), 89–97. [CrossRef] [Google Scholar]
  27. Anguelovski, I. (2015). Alternative food provision conflicts in cities: Contesting food privilege, injustice, and whiteness in Jamaica Plain, Boston. Geoforum, 58, 184–194. [CrossRef] [Google Scholar]
  28. Papachristos, A. V., Smith, C. M., Scherer, M. L., & Fugiero, M. A. (2011). More coffee, less crime? The relationship between gentrification and neighborhood crime rates in Chicago, 1991 to 2005. City & Community, 10(3), 215–240. [CrossRef] [Google Scholar]
  29. Boardman, J. D., Finch, B. K., Ellison, C. G., Williams, D. R., & Jackson, J. S. (2001). Neighborhood disadvantage, stress, and drug use among adults. Journal of health and social behavior, 151–165. [CrossRef] [Google Scholar]
  30. Morenoff, J. D. (2003). Neighborhood mechanisms and the spatial dynamics of birth weight. American journal of sociology, 108(5), 976–1017. [CrossRef] [Google Scholar]
  31. Gibbons, J., Barton, M. S., & Reling, T. T. (2020). Do gentrifying neighbourhoods have less community? Evidence from Philadelphia. Urban Studies, 57(6), 1143–1163 [CrossRef] [Google Scholar]
  32. Freeman, L. (2005). Displacement or succession? Residential mobility in gentrifying neighborhoods. Urban Affairs Review, 40(4), 463–491. [CrossRef] [Google Scholar]
  33. Freeman, L., & Braconi, F. (2004). Gentrification and displacement New York City in the 1990s. Journal of the American planning association, 70(1), 39–52. [CrossRef] [Google Scholar]
  34. Martin, I. W., & Beck, K. (2018). Gentrification, property tax limitation, and displacement. Urban Affairs Review, 54(1), 33–73. [CrossRef] [Google Scholar]
  35. Newman, K., & Wyly, E. K. (2006). The right to stay put, revisited: Gentrification and resistance to displacement in New York City. Urban studies, 43(1), 23–57. [CrossRef] [Google Scholar]
  36. Carlson, H. J. (2020). Measuring displacement: Assessing proxies for involuntary residential mobility. City & Community, 19(3), 573–592. [CrossRef] [Google Scholar]
  37. Hicken, M. T., Lee, H., & Hing, A. K. (2018). The weight of racism: Vigilance and racial inequalities in weight-related measures. Social Science & Medicine, 199, 157–166. [CrossRef] [Google Scholar]
  38. Intermodal Transport Interchange for London: Best Practice Guidelines. Transport for London, 2001 [Google Scholar]
  39. Intermodal Transport Interchange for London: Best Practice Guidelines. Transport for London, 2002 [Google Scholar]
  40. Galster, G., & Peacock, S. (1986). Urban Gentrification: Evaluating Alternative Indicators. Social Indicators Research, 18(3), 321–337. http://www.jstor.org/stable/27520676 [CrossRef] [Google Scholar]

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