A python script for longitudinally measuring the duration of vacant land uses. Academic Article uri icon


  • Populating and depopulating cities have some degree of underutilised land. The duration of vacancy, or length of time a property remains unused, more strongly influences urban decline than the amount of vacant land. Assessment of the duration of vacancy is seldom conducted, due to a lack of linking longitudinal data. This research creates and applies a Python script to track the duration of vacancy in Minneapolis, MN, U.S.A, to create a tool that can be utilised by cities with vacant land inventories. The tool can be used globally to prioritise treatment areas for urban regeneration plans.

published proceedings

  • J Spat Sci

altmetric score

  • 1.25

author list (cited authors)

  • Newman, G., Kim, Y., Kim, G., Lee, R. J., Gu, D., Forghanparast, K., & Goldberg, D.

citation count

  • 2

complete list of authors

  • Newman, Galen||Kim, Youjung||Kim, Gunwoo||Lee, Ryun Jung||Gu, Donghwan||Forghanparast, Kaveh||Goldberg, Daniel

publication date

  • January 2022