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

Multi-Modal Transportation and Multi-Criteria Walking (MMT-MCW) for Wayfinding and Navigation Services

Socharoentum, Monsak (2014) Multi-Modal Transportation and Multi-Criteria Walking (MMT-MCW) for Wayfinding and Navigation Services. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

Primary Text

Download (7MB) | Preview


Existing wayfinding and navigation services are primarily designed to support driving and riding modes of transportation. They do not provide walking as one mode of transportation in multi-modal transportation routes. To address this gap, this dissertation introduces the concept of Multi-Modal Transportation and Multi-Criteria Walking (MMT-MCW). The premise of MMT-MCW is based on the observations that: walking can be performed for other purposes in addition to travelling to a destination, such as maintaining or improving health; and traveler’s characteristics and preferences play an important role in determining optimal route choices. MMT finds candidate routes that include walking plus other modes of transportation such as driving or riding public transit. MCW recommends a route among those suggested by MMT whose walking mode of transportation is optimal with respect to a set of criteria. An example criterion is fastest walking time, for which flat and short routes typically take priority over steep and longer routes. Another example is exercise, for which steeper and/or longer routes may take priority.
Methodologies and algorithms for MMT-MCW are developed, discussed, and analyzed. A prototype wayfinding service and a simulation methodology based on MMT-MCW are described. The benefits of MMT-MCW are demonstrated through the prototype and the results of simulating various trip scenarios.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairKarimi, Hassan A.hkarimi@pitt.eduHKARIMI
Committee MemberMunro, Paulpwm@pitt.eduPWM
Committee MemberDruzdzel, Marek J.marek@sis.pitt.eduDRUZDZEL
Committee MemberZgibor, Janice C.edcjan@pitt.eduEDCJAN
Date: 29 August 2014
Date Type: Publication
Defense Date: 22 July 2014
Approval Date: 29 August 2014
Submission Date: 28 July 2014
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 136
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Multi-criteria, walking, multi-modal transportation
Date Deposited: 29 Aug 2014 19:44
Last Modified: 15 Nov 2016 14:22


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item