Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations
Modelling route choice behaviours are essential in traffic operation and transportation planning. Many studies have focused on route choice behaviour using the stochastic model, and they have tried to construct the heterogeneous route choice model with various types of data. This study aims to devel...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/5530814 |
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| author | Shin-Hyung Cho Seung-Young Kho |
| author_facet | Shin-Hyung Cho Seung-Young Kho |
| author_sort | Shin-Hyung Cho |
| collection | DOAJ |
| description | Modelling route choice behaviours are essential in traffic operation and transportation planning. Many studies have focused on route choice behaviour using the stochastic model, and they have tried to construct the heterogeneous route choice model with various types of data. This study aims to develop the route choice model incorporating travellers’ heterogeneity according to the stochastic route choice set. The model is evaluated from the empirical travel data based on a radio frequency identification device (RFID) called dedicated short-range communication (DSRC). The reliability level is defined to explore the travellers’ heterogeneity in the choice set generation model. The heterogeneous K-reliable shortest path- (HKαRSP-) based route choice model is established to incorporate travellers’ heterogeneity in route choice behaviour. The model parameters are estimated for the mixed path-size correction logit (MPSCL) model, considering the overlapping paths and the heterogeneous behaviour in the route choice model. The different behaviours concerning the chosen routes are analysed to interpret the route choice behaviour from revealed preference data by comparing the different coefficients’ magnitude. There are model validation processes to confirm the prediction accuracy according to travel distance. This study discusses the policy implication to introduce the traveller specified route travel guidance system. |
| format | Article |
| id | doaj-art-c40fbfe5f2df409a8d81bfd703e55b86 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c40fbfe5f2df409a8d81bfd703e55b862025-02-03T01:28:30ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/55308145530814Exploring Route Choice Behaviours Accommodating Stochastic Choice Set GenerationsShin-Hyung Cho0Seung-Young Kho1School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30324, USADepartment of Civil and Environmental Engineering and Institute of Construction and Environmental Engineering, Seoul National University, Seoul 08826, Republic of KoreaModelling route choice behaviours are essential in traffic operation and transportation planning. Many studies have focused on route choice behaviour using the stochastic model, and they have tried to construct the heterogeneous route choice model with various types of data. This study aims to develop the route choice model incorporating travellers’ heterogeneity according to the stochastic route choice set. The model is evaluated from the empirical travel data based on a radio frequency identification device (RFID) called dedicated short-range communication (DSRC). The reliability level is defined to explore the travellers’ heterogeneity in the choice set generation model. The heterogeneous K-reliable shortest path- (HKαRSP-) based route choice model is established to incorporate travellers’ heterogeneity in route choice behaviour. The model parameters are estimated for the mixed path-size correction logit (MPSCL) model, considering the overlapping paths and the heterogeneous behaviour in the route choice model. The different behaviours concerning the chosen routes are analysed to interpret the route choice behaviour from revealed preference data by comparing the different coefficients’ magnitude. There are model validation processes to confirm the prediction accuracy according to travel distance. This study discusses the policy implication to introduce the traveller specified route travel guidance system.http://dx.doi.org/10.1155/2021/5530814 |
| spellingShingle | Shin-Hyung Cho Seung-Young Kho Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations Journal of Advanced Transportation |
| title | Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations |
| title_full | Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations |
| title_fullStr | Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations |
| title_full_unstemmed | Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations |
| title_short | Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations |
| title_sort | exploring route choice behaviours accommodating stochastic choice set generations |
| url | http://dx.doi.org/10.1155/2021/5530814 |
| work_keys_str_mv | AT shinhyungcho exploringroutechoicebehavioursaccommodatingstochasticchoicesetgenerations AT seungyoungkho exploringroutechoicebehavioursaccommodatingstochasticchoicesetgenerations |