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Article: Microscopic decision model for pedestrian route choice at signalized crosswalks
Title | Microscopic decision model for pedestrian route choice at signalized crosswalks |
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Authors | |
Keywords | bidirectional pedestrian movements discrete choice model panel data pedestrian decision model pedestrian route choice random-parameter model |
Issue Date | 2016 |
Publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www.advanced-transport.com |
Citation | Journal of Advanced Transportation, 2016, v. 50 n. 6, p. 1181-1192 How to Cite? |
Abstract | In this paper, two-tier mathematical models were developed to simulate the microscopic pedestrian decision-making process of route choice at signalized crosswalks. In the first tier, a discrete choice model was proposed to predict the choices of walking direction. In the second tier, an exponential model was calibrated to determine the step size in the chosen direction. First, a utility function was defined in the first-tier model to describe the change of utility in response to deviation from a pedestrian's target direction and the conflicting effects of neighboring pedestrians. A mixed logit model was adopted to estimate the effects of the explanatory variables on the pedestrians' decisions. Compared with the standard multinomial logit model, it was shown that the mixed logit model could accommodate the heterogeneity. The repeated observations for each pedestrian were grouped as panel data to ensure that the parameters remained constant for individual pedestrians but varied among the pedestrians. The mixed logit model with panel data was found to effectively address inter-pedestrian heterogeneity and resulted in a better fit than the standard multinomial logit model. Second, an exponential model in the second tier was proposed to further determine the step size of individual pedestrians in the chosen direction; it indicates the change in walking speed in response to the presence of other pedestrians. Finally, validation was conducted on an independent set of observation data in Hong Kong. The pedestrians' routes and destinations were predicted with the two-tier models. Compared with the tracked trajectories, the average error between the predicted destinations and the observed destinations was within an acceptable margin. Copyright © 2016 John Wiley & Sons, Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/237007 |
ISSN | 2023 Impact Factor: 2.0 2023 SCImago Journal Rankings: 0.582 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xie, S | - |
dc.contributor.author | Wong, SC | - |
dc.contributor.author | Lam, WHK | - |
dc.date.accessioned | 2016-12-20T06:14:44Z | - |
dc.date.available | 2016-12-20T06:14:44Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Journal of Advanced Transportation, 2016, v. 50 n. 6, p. 1181-1192 | - |
dc.identifier.issn | 0197-6729 | - |
dc.identifier.uri | http://hdl.handle.net/10722/237007 | - |
dc.description.abstract | In this paper, two-tier mathematical models were developed to simulate the microscopic pedestrian decision-making process of route choice at signalized crosswalks. In the first tier, a discrete choice model was proposed to predict the choices of walking direction. In the second tier, an exponential model was calibrated to determine the step size in the chosen direction. First, a utility function was defined in the first-tier model to describe the change of utility in response to deviation from a pedestrian's target direction and the conflicting effects of neighboring pedestrians. A mixed logit model was adopted to estimate the effects of the explanatory variables on the pedestrians' decisions. Compared with the standard multinomial logit model, it was shown that the mixed logit model could accommodate the heterogeneity. The repeated observations for each pedestrian were grouped as panel data to ensure that the parameters remained constant for individual pedestrians but varied among the pedestrians. The mixed logit model with panel data was found to effectively address inter-pedestrian heterogeneity and resulted in a better fit than the standard multinomial logit model. Second, an exponential model in the second tier was proposed to further determine the step size of individual pedestrians in the chosen direction; it indicates the change in walking speed in response to the presence of other pedestrians. Finally, validation was conducted on an independent set of observation data in Hong Kong. The pedestrians' routes and destinations were predicted with the two-tier models. Compared with the tracked trajectories, the average error between the predicted destinations and the observed destinations was within an acceptable margin. Copyright © 2016 John Wiley & Sons, Ltd. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www.advanced-transport.com | - |
dc.relation.ispartof | Journal of Advanced Transportation | - |
dc.rights | Journal of Advanced Transportation. Copyright © John Wiley & Sons, Inc. | - |
dc.rights | This is the peer reviewed version of the following article: Journal of Advanced Transportation, 2016, v. 50 n. 6, p. 1181-1192, which has been published in final form at DOI: 10.1002/atr.1396. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. | - |
dc.subject | bidirectional pedestrian movements | - |
dc.subject | discrete choice model | - |
dc.subject | panel data | - |
dc.subject | pedestrian decision model | - |
dc.subject | pedestrian route choice | - |
dc.subject | random-parameter model | - |
dc.title | Microscopic decision model for pedestrian route choice at signalized crosswalks | - |
dc.type | Article | - |
dc.identifier.email | Wong, SC: hhecwsc@hku.hk | - |
dc.identifier.authority | Wong, SC=rp00191 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1002/atr.1396 | - |
dc.identifier.scopus | eid_2-s2.0-84978827307 | - |
dc.identifier.hkuros | 270741 | - |
dc.identifier.volume | 50 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 1181 | - |
dc.identifier.epage | 1192 | - |
dc.identifier.isi | WOS:000386040200014 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0197-6729 | - |