| 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%
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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
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document
Modelling pedestrian behaviour in downtown shopping areas
Abstract
The purpose of this paper is to present a model to simulate individual route choice behaviour of pedestrians in downtown shopping areas. The model assumes that 1) pedestrians enter the network at specific entry points like the railway station, bus stops, and parking facilities: 2) pedestrians exit the downtown area where they entered the area, and 3) given a pedestrian’s current link in the downtown network, the pedestrian will choose one of the connecting links to move onwards. This way, a route through the downtown shopping area is created for each pedestrian. The process of selecting the consecutive links in the downtown network and finishing the shopping trip is simulated in this study. A discrete choice model is used to predict which link will be selected from the set of possible links. The probability a particular link will be selected from the set of connecting links depends on the physical characteristics of the link itself (e.g. supply of shops), the distance walked so far, the minimum distance to the exit location, whether the link would induce a turn around, and the number of times the link was passed before. Unlike most other models of pedestrian behavior, the link-to-link decision making process is calibrated using observed route choice data. In addition, this model employs an endogenous, utility-driven mechanism to finish the trip. The parameters of the choice model were estimated from observed routes in two medium sized Dutch cities: Eindhoven and Maastricht. Data was collected in March 2002 and October 2003 respectively. Approximately 850 (Eindhoven) and 580 (Maastricht) pedestrians participated in the on-site interviews. For these analyses however, only those respondents were selected who returned to their entry point and did not leave the downtown area in between. Approximately 600 (Eindhoven) and 450 (Maastricht) respondents satisfied this criterion. The performance of the model will be discussed at the level of individual link choices as well as at the level of link intensities.
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