MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Identifying and modeling urban truck daily tour-chaining patterns

Author(s)
Jing, Peiyu
Thumbnail
DownloadFull printable version (4.225Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
Advisor
Moshe E. Ben-Akiva.
Terms of use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
The main goal of this research is to better understand truck tour patterns in an urban setting and develop models that can describe daily tour-chaining patterns. This research uses truck activity data collected for the Urban Freight Heavy Vehicle Study ongoing in Singapore, which is an advancement in freight data collection studies. The data contain individual truck's Global Positioning System (GPS) traces and rich behavioral details including the activities at stops and operator's characteristics that were processed and verified though a freight data collection platform. Based on the initiative of using post-processed GPS data for tour identification, this paper refines the definition of tour and tour chain to explicitly reflect stop purpose, stop duration, and time of stop. Tour types and daily tour-chaining patterns in the dataset are identified. Further, this paper presents discrete choice models developed to explore factors that influence daily tour-chaining patterns. Identified important factors are: the difference between the number of distinct pickup and delivery locations, geographical spread of distinct pickup and delivery locations, shipment type, time to start work, employment type, land use type, and truck type. The major contributions of the paper are: 1) identifying limitations of the conventional definitions of tour and tour chain and proposing new approaches to reflect logistics practices; 2) explaining the tour-chaining patterns of heavy goods trucks in Singapore; 3) developing tour-chaining pattern choice models that aims serving agent-based simulation platforms.
Description
Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 57-60).
 
Date issued
2018
URI
http://hdl.handle.net/1721.1/119334
Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Publisher
Massachusetts Institute of Technology
Keywords
Civil and Environmental Engineering.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.