Brittany S. Wood

TL;DR: Results show that individual and place-based differences in food accessibility may be delineated with the metrics, and possible ‘deserts’ or areas of inaccessibility may be identified through a bottom-up analysis of the travel and mobility experience of a representative sample of individuals.

TL;DR: In this paper, the authors investigated the accessibility of the older population to potential activities in a smaller metropolitan area in the state of Florida, using highly disaggregate spatial data containing the locations of populations and possible activities, and implemented accessibility models in a Geographic Information Systems (GIS) environment.

TL;DR: This paper tests TGDE’s effectiveness as a home range estimator using simulated movement data and demonstrates that TGDE is the most effective at estimating core areas, home ranges and total areas at high sampling frequencies, while CHP performs better at low sampling frequencies.

TL;DR: In this paper, the authors analyzed specific at-risk populations' accessibility to Supplemental Nutrition Assistance Program (SNAP) accepting locations using GIS-based estimates of specific personal transportation costs and found that higher income, high vehicle access and white populations are more accessible to food opportunities than lower income, low vehicle access, and African American populations.

TL;DR: This study uses travel diary data on automobile trips to construct activity spaces to explore whether or not travel patterns across age groups result in differential access to particular goods and services in the Orlando Metropolitan Statistical Area (MSA).