| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Borgers, Awj Aloys
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2015Modeling pedestrians' shopping behavior in downtown areas
- 2014Temporal adaptation to reward schemes:Results of the SpitsScoren projectcitations
- 2012Car drivers' compliance with route advice and willingness to choose socially desirable routescitations
- 2011Influence of travel advice, pricing and environmental awareness on route choice behavior of car users: results of a stated choice experiment
- 2010Measuring preferences for parking facilities in old residential areas
- 2009Consumer response to introduction of paid parking at a regional shopping center
- 2009Individuals' activity-travel rescheduling behaviour: experiment and model-based analysiscitations
- 2008Preferences for car-restrained residential areas
- 2008The effect of the introduction of paid parking on consumers' expenditures for weekly and non-weekly purchases
- 2006Simulation of micro pedestrian behaviour in shopping streets
- 2005Modelling pedestrian behaviour in downtown shopping areas
- 2004Simulating pedestrian route choice behavior in urban retail environments
- 2003Inducing heuristic principles of tourist choice of travel mode: a rule-based approach
- 2002Utility-maximizing model of household time use for independent, shared, and allocated activities incorporating group decision mechanismscitations
- 2001Classifying Pedestrian Shopping Behaviour According To Implied Heuristic Choice Rulescitations
- 2001Assessing urban context-induced change in individual activity travel patterns : case study of new railway stationcitations
Places of action
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document
Simulation of micro pedestrian behaviour in shopping streets
Abstract
Over the years, scholars have developed various models of pedestrian movement. These models can be used to assess the effects of detailed design decisions or to predict pedestrian behaviour under conditions of crowding. To date, not much attention has been paid to pedestrians’ shopping behaviour at the micro level. Therefore, the main purpose of this project is to test a model that aims at simulating micro pedestrian behaviour in shopping streets, including entering shops. The model assumes a detailed network of links to represent the structure of street segments and entrances to the shops. The basic principle underlying the model is that a pedestrian moves from one link in the network to another, adjacent link. In fact, a pedestrian enters a segment at one side, heading for the other side of the segment. However, a pedestrian might enter the segment by leaving a shop as well. Then, the pedestrian might be heading for either side of the segment. While transferring from the current link to the next link, the pedestrian will be attracted by the shops along both sides of the street. The study area is Antwerp’s main shopping street. During a one-week workshop in July 2004, students observed pedestrian movement in this shopping street. An inventory of some physical characteristics of the shopping street was made and pedestrians were tracked through two separate segments of the shopping street. In total, 334 pedestrians were tracked. A conventional multinomial logit model is used to simulate pedestrians’ micro behaviour. The process of consecutively selecting links continues until the pedestrian has reached one of the terminal links or a shop. The model performs very well. Simulated routes were used to assess the validity of the model. Observed and simulated link loading correspond fairly well, however, the model seems to slightly mispredict the attraction of a number of shops.
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