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id ascaad2016_056
authors Dutt, Florina; Subhajit Das
year 2016
title Geospatial Tool Evaluating Job Location Mismatch, Based on Available Workforce and Transit Options - Evaluating property location in a city using large-scale datasets
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 557-566
summary The paper addresses the issue of spatial mismatch of jobs and the accessibility to job locations based on different age, income and industry group. Taking Atlanta as a case study, we developed a geospatial analysis tool enabling developers, the city planning bureau and the residents to identify potential sites of redevelopment with better economic development opportunities. It also aids to find potential location to live with respect to user’s choices for transit options, walkability, job location and proximity to chosen land use. We built our model on a block level in the city, imparting them a score, visualizing the data as a heat map. The metrics to compute the score included proximity to job, proximity to worker’s residence, transit availability, walkability and number of landmark elements near the site. We worked with Longitudinal Employer-Household Dynamics (LEHD) Data along with residence area characteristics (RAC) and work place area characteristic (WAC) data sets, where the total number of data-points was over 3 million. It was challenging for us to optimize computation such that the prototype performs statistical analysis and updates visualization in real time. The research further is prototyped as a web application leveraging Leaflet’s Open Street Maps API and D3 visualization plugin. The research showed that there is a high degree of spatial mismatch between home and job locations with very few jobs with driving distance within 5 -10 miles with limited transit options in Atlanta. Further, it showed that low-earning workers need to travel significantly larger distance for work compared to higher class.
series ASCAAD
email florina.design@gatech.edu
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100%; open (1993) Find in CUMINCAD The Spatial Mismatch Between Jobs and Residential Locations within Urban Areas , Cityscape. 1, pp. 219-244. Washington, D.C.: US Department of Housing and Urban Development

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100%; open (2012) Find in CUMINCAD Modeling public-transit connectivity with spatial quality-of-transfer measurements , Journal of Transport Geography, 22, 137-147

100%; open (2012) Find in CUMINCAD Exploring urban commuting imbalance by jobs and gender , Applied Geography, 32(2), 532-545

100%; open (2013) Find in CUMINCAD Measuring urban job accessibility with distance decay, competition and diversity , Journal of Transport Geography, 30, 100-109

100%; open (2015) Find in CUMINCAD GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio , Journal of Transport Geography, 45, 1-11.

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