Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/30035
Title: | Space-Time Sequential Similarity for Identifying Factors of Activity-Travel Pattern Segmentation: A Measure of Sequence Alignment and Path Similarity | Authors: | CHO, Sungjin JANSSENS, Davy Joh, Chang-Hyeon Kim, Hyunmyung Choi, Keechoo Park, Dongjoo |
Issue Date: | 2019 | Publisher: | WILEY | Source: | GEOGRAPHICAL ANALYSIS, 51(2), p. 203-220 | Abstract: | The article develops a new method that compares activity-travel patterns in both terms of the sequential order of activities and the shape of activity-travel trajectory in time and space. The similarity of the list of activities and their order between activity-travel patterns are computed by a sequence alignment method. The shape of activity-travel trajectory is compared between the patterns using a path similarity technique that captures the direction and speed of a movement from the current location and the duration of staying at each location. The comparison results, therefore capture how people move around in three-dimensional space-time choreography that indicates how people conduct which activities in what order. A total of 1,000 individuals are sampled from the data of 2016 Household Travel Survey, South Korea. The data provide the information of individual activity-travel behavior and personal characteristics. The suggested method computes the pairwise distance matrix, and Ward clustering algorithm segments the pattern groups of similar activity sequences and space-time trajectories. A CHAID analysis then associates personal and household characteristics with the pattern groups to identify important factors for the segmentation. The analysis provides a significant implication in both terms of research and practice in transportation. | Notes: | [Cho, Sung-Jin; Janssens, Davy] Hasselt Univ, Transportat Res Inst IMOB, Diepenbeek, Belgium. [Joh, Chang-Hyeon] J2Nplanning Inc, Seoul, South Korea. [Kim, Hyunmyung] Myongji Univ, Dept Transportat Engn, Yongin, South Korea. [Choi, Keechoo] Ajou Univ, Dept Transportat Syst, Suwon, South Korea. [Park, Dongjoo] Univ Seoul, Dept Transportat Engn, 163 Siripdae Ro, Seoul 02504, South Korea. | Document URI: | http://hdl.handle.net/1942/30035 | ISSN: | 0016-7363 | e-ISSN: | 1538-4632 | DOI: | 10.1111/gean.12186 | ISI #: | 000465217500004 | Rights: | 2019 The Ohio State University | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
cho 1.pdf Restricted Access | Published version | 930.55 kB | Adobe PDF | View/Open Request a copy |
WEB OF SCIENCETM
Citations
3
checked on Oct 13, 2024
Page view(s)
102
checked on Sep 6, 2022
Download(s)
78
checked on Sep 6, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.