Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/25732
Title: | Applying FEATHERS for Travel Demand Analysis: Model Considerations | Authors: | BAO, Qiong KOCHAN, Bruno SHEN, Yongjun CREEMERS, Lieve BELLEMANS, Tom JANSSENS, Davy WETS, Geert |
Issue Date: | 2018 | Source: | TRB 97th Annual Meeting Compendium of Papers, (Art N° 18-02428) | Abstract: | Activity-based models of travel demand have received considerable attention in transportation planning and forecasting over the last decades. FEATHERS (The Forecasting Evolutionary Activity-Travel of Households and their Environmental RepercussionS), developed by the Transportation Research Institute (IMOB) of Hasselt University, Belgium, is a micro-simulation framework particularly developed to facilitate the implementation of activity-based models for transport demand forecasting. In this paper, we focus on several model considerations when applying this framework. First, the way to apply FEATHERS on a more disaggregated geographical level is investigated, with the purpose of obtaining more detailed travel demand information. Next, to reduce the computation time when applying FEATHERS on a more detailed geographical level, an iteration approach is proposed to identify the minimum size of the study area needed. In addition, the effect of stochastic errors inherently included in the FEATHERS framework is investigated, and the concept of confidence intervals is applied to determine the minimum number of model runs needed to minimize this effect. In the application, the FEATHERS framework is used to investigate the potential impact of light rail initiatives on travel demand at a local network in Flanders, Belgium. In doing so, all the aforementioned model considerations are taken into account. | Document URI: | http://hdl.handle.net/1942/25732 | Category: | C2 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2018_01_29__Applying_FEATHERS_for_Travel_Demand_Analysis_-_Model_Considerations__PUBLISHED.pdf Restricted Access | Peer-reviewed author version | 1.28 MB | Adobe PDF | View/Open Request a copy |
Page view(s)
76
checked on Jul 15, 2022
Download(s)
56
checked on Jul 15, 2022
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.