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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16301

Title: Issues in Feathers Application in the Seoul Metropolitan Area
Authors: Do Lee, W.
Joh, Ch.
CHO, Sungjin
Issue Date: 2014
Publisher: Information Science Reference (an imprint of IGI Global)
Citation: Janssens, Davy ; Yasar, Ansar-Ul-Haque ; Knapen, Luk (Ed.). Data Science and Simulation in Transportation Research, p. 71-85
Series/Report: Advances in Data Mining and Database Management (ADMDM) Book Series
Abstract: Over the last decades, the trip-based approach, also known as the four-step model, has been playing an unrivaled role in transportation demand research in Korea. It has been used to predict changes in traffic volume resulting from new transportation policy measures, and also has allowed conducting benefit-cost analyses for new infrastructure provisions. It has been increasingly difficult for the trip-based model to anticipate individual responses to new transportation policy inputs and infrastructure provision as the society becomes personalized and diversified. Activity-Based Modeling (ABM) approaches, predicting travel demand derived from individual activity participations, were introduced to complement the trip-based approach in this regard. The chapter introduces the Seoul ABM project that aims to first apply FEATHERS as an ABM to the data collected in Seoul Metropolitan Area (SMA) and then develop a prototype of the ABM framework for Korea. More specifically, the chapter first briefly describes SMA in comparison with Flanders in Belgium and other countries. It then introduces related research works in Korea and the background of the Seoul ABM project. After these, a FEATHERS framework applied for the Seoul ABM project is described with its data requirements. Major issues of and solutions to the Seoul ABM project are then discussed with regard to the data preprocessing. The chapter ends with a summary and future work.
URI: http://hdl.handle.net/1942/16301
Link to publication: http://www.igi-global.com/book/data-science-simulation-transportation-research/78944#table-of-contents
DOI: 10.4018/978-1-4666-4920-0.ch004
ISI #: 000364530200006
ISBN: 9781466649200
ISSN: 2327-1981
Category: B2
Type: Book Section
Validation: vabb, 2017
Appears in Collections: Research publications

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