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Computing least air pollution exposure routes

Sharker, MH and Karimi, HA (2014) Computing least air pollution exposure routes. International Journal of Geographical Information Science, 28 (2). 343 - 362. ISSN 1365-8816

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Personalized routing counts on traveler's preferences which are usually based on different criteria, such as shortest, fastest, least traffic, or less expensive (e.g., less fuel cost, toll free). However, people are increasingly becoming concerned about the adverse health effects of exposure to air pollution in chosen routes. Exposures to elevated air pollution concentrations particularly endanger children, pregnant women, elderly people, and people with asthma and other respiratory conditions. Choosing routes with least air pollution exposure (APE) is seen as one approach to minimize the level of pollution exposed, which is a major public health issue. Routing algorithms use weights on segments of road networks to find optimum routes. While existing weights are commonly distance and time, among a few others, there is currently no weight based on APE to compute least APE routes. In this paper, we present a weight function that computes weight based on APE. Two different approaches, geostatistical and non-geostatistical, were used to compute APE weight. Each approach was evaluated, and the results indicate that the APE weight is suitable for computing least APE routes. © 2013 Taylor & Francis.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Sharker, MHmhs37@pitt.eduMHS37
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Date: 1 February 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: International Journal of Geographical Information Science
Volume: 28
Number: 2
Page Range: 343 - 362
DOI or Unique Handle: 10.1080/13658816.2013.841317
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1365-8816
Date Deposited: 30 Jun 2014 16:42
Last Modified: 04 Jul 2020 14:55


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