Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/19832
Title: | Validation of Activity-Based Travel Demand Model using Smart-Card Data in Seoul, South Korea | Authors: | CHO, Sungjin Do Lee, Won Hwang, Jeong-Hwan KOCHAN, Bruno KNAPEN, Luk BELLEMANS, Tom Choi, Keechoo Joh, Chang-Hyun |
Issue Date: | 2015 | Publisher: | Elsevier Science BV | Source: | Shakshuki, E. (Ed.). 6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015), p. 707-712 | Series/Report: | Procedia Computer Science | Series/Report no.: | 52 | Abstract: | This study aims to validate an activity-based travel demand model, FEATHERS, using smart-card data which is collected in Seoul, South Korea, and to discuss some limits and challenges in the prediction of public traffic demands. To achieve the goal, global/local trip pattern indices and a hot-spot analysis were applied for the validation test as a comparison method in this study. Using those methods, the public traffic demands predicted by the simulation in the study area were evaluated comparing with ones in the smart-card data. As a result, FEATHERS Seoul shows the enough performance in predicting the global pattern of the public traffic demands, but a low performance in a local pattern, particularly in some areas with a mixture land-use type and/or a frequent public transit. This is because the current model does not handle such a complicate type of land-use and also a multimodal trip in the simulation process. In conclusion, this study addressed the limits of the current model through the validation test using smart-card data and suggested some solution to the improvement in the specific models As a future work, we will apply smart-card data for the validation of the models operated in FS, such as a location choice model and a trip mode choice model. (C) 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creavativecommons.org/licesses/by-nc-nd/4.0/). Peer-review under responsibility of the Conference Program Chairs | Notes: | [Cho, Sungjin; Kochan, Bruno; Knapen, Luk; Bellemans, Tom] Hasselt Univ, Transportat Res Inst IMOB, B-3590 Diepenbeek, Belgium. [Do Lee, Won; Choi, Keechoo] Ajou Univ, Dept Transportat Engn, Suwon 441749, South Korea. [Hwang, Jeong-Hwan; Joh, Chang-Hyun] Kyung Hee Univ, Dept Geog, Seoul, South Korea. | Keywords: | activity-based model; FEATHERS; smart-card data; household trip survey; validation; hot-spot analsys; spatial analysis;Activity-based model; FEATHERS; Smart-card data; Household trip survey; Validation; Hot-spot analsys; Spatial analysis | Document URI: | http://hdl.handle.net/1942/19832 | DOI: | 10.1016/j.procs.201.5.05.080 | ISI #: | 000361567100092 | Rights: | © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2016 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
cho 1.pdf | Published version | 520.65 kB | Adobe PDF | View/Open |
WEB OF SCIENCETM
Citations
3
checked on Oct 10, 2024
Page view(s)
76
checked on Sep 6, 2022
Download(s)
114
checked on Sep 6, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.