Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Health-optimal routing in pedestrian navigation services

Sharker, MH and Karimi, HA and Zgibor, JC (2012) Health-optimal routing in pedestrian navigation services. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

People use various criteria for choosing routes, which may vary depending on location and time, purpose of trip, and personal preferences. Common routing criteria supported by current navigation services include shortest, fastest, least traffic, and least expensive (e.g., less fuel cost, toll free). While each optimal route is computed by using one of these criteria, there is currently no criterion that can be used to compute routes that are health-optimal. In this paper, we focus on a new routing criterion to compute health-optimal routes with the main objective of increasing physical activity. Those who are physically capable and motivated to walk can adapt a lifestyle that includes walking as a means to mitigate or prevent obesity. To that end, a routing criterion for computing health-optimal routes suitable for those who are concerned with obesity must take into account both environmental and individual factors. Computing optimal routes requires that each road segment of a road network be assigned a weight; like, distance for shortest routes and travel time for fastest routes. In this paper, we present and discuss a new weight for segments of pedestrian paths used in pedestrian navigation services to compute health-optimal routes. While health-optimal routes may address various health conditions, the objective of this work is to provide options for walking routes to increase regular physical activity as one means to help mitigate or prevent obesity. Weights are calculated by considering both environmental and individual parameters. The optimal-health weight is simulated using various scenarios. The results of the simulations show that the computed weights can be used to find health-optimal routes that are meaningful and consistent with walkability and obesity standards. © 2012 ACM.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Sharker, MHmhs37@pitt.eduMHS37
Karimi, HAhkarimi@pitt.eduHKARIMI
Zgibor, JCedcjan@pitt.eduEDCJAN
Date: 1 December 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Page Range: 1 - 10
Event Type: Conference
DOI or Unique Handle: 10.1145/2452516.2452518
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450317030
Related URLs:
Date Deposited: 25 Jun 2013 19:04
Last Modified: 02 Feb 2019 16:55
URI: http://d-scholarship.pitt.edu/id/eprint/19070

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item