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Neighbourhood change around heavy rail transit stations: the case of three US cities

In: Transit Oriented Development and Sustainable Cities

Author

Listed:
  • Adam Miner
  • Elizabeth C. Delmelle
  • Isabelle Nilsson

Abstract

This chapter examines neighbourhood change surrounding rail transit stops in three United States cities by using k-means cluster analysis and Markov chains to study neighbourhood class transitions pre and post the opening of a station. Overall, the results suggest that neighbourhoods near transit are more likely to experience densification. The results also suggest that neighbourhoods are more likely to stay poor if they had high levels of poverty before the opening of a station, compared to non-transit neighbourhoods. If experiencing economic ascent, neighbourhoods are also likely to experience an increase in educational attainment and a reduction in median age. These patterns are particularly pronounced in transit oriented development (TOD) neighbourhoods compared to transit adjacent development (TAD) neighbourhoods.

Suggested Citation

  • Adam Miner & Elizabeth C. Delmelle & Isabelle Nilsson, 2019. "Neighbourhood change around heavy rail transit stations: the case of three US cities," Chapters, in: Richard D. Knowles & Fiona Ferbrache (ed.), Transit Oriented Development and Sustainable Cities, chapter 8, pages 119-135, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:18467_8
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