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Multi-modal transportation with multi-criteria walking (MMT-MCW): Personalized route recommender

Socharoentum, M and Karimi, HA (2016) Multi-modal transportation with multi-criteria walking (MMT-MCW): Personalized route recommender. Computers, Environment and Urban Systems, 55. 44 - 54. ISSN 0198-9715

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Abstract

© 2015 Elsevier Ltd. Existing wayfinding and navigation services are designed primarily for vehicle trip planning. Of these services, currently only a few consider walking for pedestrians, and none is capable of providing multi-modal transportation with walking always as one mode. To fill the gap, multi-modal transportation with multi-criteria walking (MMT-MCW), as a personalized route recommender, such that walking is one mode and is optimized based on traveler's characteristics and criteria, is proposed. The premise of MMT-MCW is based on the observations that: (a) walking can be performed for other purposes besides merely reaching destinations, such as to maintain or improve health; (b) traveler's behavior and physical capabilities play an important role in determining optimal route choices; (c) some location parameters, such as sidewalk slope, may have much more influence on walking than on vehicular modes; and (d) environmental parameters, such as sun exposure, impact walking route choices at a specific location and time. Wayfinding and navigation services equipped with MMT-MCW will be able to provide travelers with routing options where walking is always a part of the route meeting traveler's preferences.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Socharoentum, M
Karimi, HAhkarimi@pitt.eduHKARIMI
Date: 1 January 2016
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Computers, Environment and Urban Systems
Volume: 55
Page Range: 44 - 54
DOI or Unique Handle: 10.1016/j.compenvurbsys.2015.10.005
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0198-9715
Date Deposited: 15 Jun 2016 19:24
Last Modified: 30 Oct 2017 22:55
URI: http://d-scholarship.pitt.edu/id/eprint/28198

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