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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 userís 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 workerís 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 Leafletís 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
full text file.pdf (361,026 bytes)
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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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