Elijah Knaap

TL;DR: This study explores the spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets posted in the hours prior and concurrent to Hurricane Matthew to identify trajectories of Twitter users moving out of evacuation zones once the evacuation was ordered and then returning home after the hurricane passed.

TL;DR: In this paper, the authors show that transit-oriented development often raises land values and can promote gentrification and the displacement in low-income communities, but little research has shown how communities have o...

TL;DR: PySAL as discussed by the authors is a library for geocomputation and spatial data science written in Python, which has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work.

TL;DR: This paper proposes the use of max-p-regions for neighborhood delineation so that the geographic space can be partitioned into a set of homogeneous and geographically contiguous neighborhoods and developed a new efficient algorithm to address the computational challenges associated with solving the max- p-Regions.

TL;DR: Turner et al. as mentioned in this paper explored the connections between transportation access and residential location outcomes using data from the Moving to Opportunity for Fair Housing demonstration program and the Welfare-to-Work Voucher Program.