Applying FEATHERS for Travel Demand Analysis: Model Considerations
Activity-based models of travel demand have received considerable attention in transportation planning and forecasting over the last few decades. FEATHERS (The Forecasting Evolutionary Activity-Travel of Households and their Environmental Repercussions), developed by the Transportation Research Inst...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/2/211 |
| _version_ | 1819261716188364800 |
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| author | Qiong Bao Bruno Kochan Yongjun Shen Lieve Creemers Tom Bellemans Davy Janssens Geert Wets |
| author_facet | Qiong Bao Bruno Kochan Yongjun Shen Lieve Creemers Tom Bellemans Davy Janssens Geert Wets |
| author_sort | Qiong Bao |
| collection | DOAJ |
| description | Activity-based models of travel demand have received considerable attention in transportation planning and forecasting over the last few decades. FEATHERS (The Forecasting Evolutionary Activity-Travel of Households and their Environmental Repercussions), developed by the Transportation Research Institute of Hasselt University, Belgium, is a micro-simulation framework 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. The results indicate that by integrating a light rail network into the current public transport network, there would be a relatively positive impact on public transport-related trips, but a relatively negative impact on the non-motorized-mode trips in this area. However, no significant change is found for car-related trips. |
| first_indexed | 2024-12-23T19:46:13Z |
| format | Article |
| id | doaj.art-5f12e74db1e64dc78156ecec49d59799 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-23T19:46:13Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5f12e74db1e64dc78156ecec49d597992022-12-21T17:33:31ZengMDPI AGApplied Sciences2076-34172018-01-018221110.3390/app8020211app8020211Applying FEATHERS for Travel Demand Analysis: Model ConsiderationsQiong Bao0Bruno Kochan1Yongjun Shen2Lieve Creemers3Tom Bellemans4Davy Janssens5Geert Wets6School of Transportation, Southeast University, Sipailou 2, Nanjing 210096, ChinaTransportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek, BelgiumSchool of Transportation, Southeast University, Sipailou 2, Nanjing 210096, ChinaTransportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek, BelgiumTransportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek, BelgiumTransportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek, BelgiumTransportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek, BelgiumActivity-based models of travel demand have received considerable attention in transportation planning and forecasting over the last few decades. FEATHERS (The Forecasting Evolutionary Activity-Travel of Households and their Environmental Repercussions), developed by the Transportation Research Institute of Hasselt University, Belgium, is a micro-simulation framework 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. The results indicate that by integrating a light rail network into the current public transport network, there would be a relatively positive impact on public transport-related trips, but a relatively negative impact on the non-motorized-mode trips in this area. However, no significant change is found for car-related trips.http://www.mdpi.com/2076-3417/8/2/211activity-based modelstravel demandFEATHERSgeographical levelstudy areastochastic errorslight rail network |
| spellingShingle | Qiong Bao Bruno Kochan Yongjun Shen Lieve Creemers Tom Bellemans Davy Janssens Geert Wets Applying FEATHERS for Travel Demand Analysis: Model Considerations Applied Sciences activity-based models travel demand FEATHERS geographical level study area stochastic errors light rail network |
| title | Applying FEATHERS for Travel Demand Analysis: Model Considerations |
| title_full | Applying FEATHERS for Travel Demand Analysis: Model Considerations |
| title_fullStr | Applying FEATHERS for Travel Demand Analysis: Model Considerations |
| title_full_unstemmed | Applying FEATHERS for Travel Demand Analysis: Model Considerations |
| title_short | Applying FEATHERS for Travel Demand Analysis: Model Considerations |
| title_sort | applying feathers for travel demand analysis model considerations |
| topic | activity-based models travel demand FEATHERS geographical level study area stochastic errors light rail network |
| url | http://www.mdpi.com/2076-3417/8/2/211 |
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