| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
|
| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
|
| Guglieri, Giorgio | Turin |
|
| Martínez Sánchez, Joaquín |
| |
| Tobolar, Jakub |
| |
| Volodarets, M. |
| |
| Piwowar, Piotr |
| |
| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
| |
| Cicevic, Svetlana |
| |
| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
| |
| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
| |
| Lima, Pedro | Braga |
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| Turunen, Anu W. |
| |
| Antunes, Carlos Henggeler |
| |
| Krasnov, Oleg A. |
| |
| Lopes, Joao P. |
| |
| Turan, Osman |
| |
| Lučanin, Vojkan | Belgrade |
|
| Tanaskovic, Jovan |
|
Kemperman, A. D. A. M.
in Cooperation with on an Cooperation-Score of 37%
Topics
- planning
- public transport
- train consist
- comfort
- design method
- stakeholder
- design
- specification
- travel
- ticketing
- prototype
- adult
- livability
- service model
- data collection
- data
- researcher
- estimate
- safety
- street
- decision making
- routing
- pedestrian
- health
- app
- traffic behavior
- sensor
- face
- supervisor
- air quality
- telephone
- smartphone
- supporting
- impurity
- lighting
- life style
- street lighting
- sport
- built environment
- vehicle detector
- attention
- scheduling
- automobile
- variable
- traffic mode
- bicycle
- age
- logit
- household
- neighborhood
- education
- residence
- variance
- volunteer
- travel mode
- bicycling
- child
- travel time
- school
- walking
- mode choice
- urbanisation
- random sampling
- trip purpose
- structural engineering
- mechanical engineering
- economics
- logistic regression analysis
- biology
- psychology
- culture
- family
- shopping
- demographics
- multinomial logit
- activity choice
- driver
- modeling
- algorithm
- forecasting
- density
- indicating instrument
- learning
- income
- gender
- travel distance
- trip length
- city planning
- shopping facility
- choice of transport
- cohesion
- weekday
- recreation
- restaurant
- assessment
- behavior
- compliance
- experiment
- automobile driver
- highway traffic control
- information system
- traffic assignment
- route choice
- expected value
- railway train
- estimating
- bus
- fare
- vacation
- airline
- student
- price
- incentive
- contaminant
- traveller
- pricing
- travel demand management
- time window
- navigation system
- automobile navigation system
- elementary school
- case study
- city
- survey
- map
- security
- parking facility
- residential area
- parking
- stated preference
- walking distance
- restructuring
- residential street
- motorized traffic
- workshop
- building entrance
- building exit
- choice model
- physical property
- trip distribution
- crowd
- simulation
- pedestrian movement
- validity
- show 114 more
Publications (14/14 displayed)
- 2019Travelling with my SOULMATE: Participatory Design of an mHealth Travel Companion for Older Adultscitations
- 2019Future-proof? The longitudinal multi-method data collection of SOULMATE and its future integration into smart cities
- 2018Social commitments and activity-travel scheduling decisionscitations
- 2016Ageing and loneliness: the role of mobility and the built environmentcitations
- 2014Environmental Correlates of Active Travel Behavior of Childrencitations
- 2013Mixed multinomial logit model for out-of-home leisure activity choicecitations
- 2013What drives active transportation choices among the aging population? Comparing a Bayesian belief network and mixed logit modeling approach
- 2012Car drivers' compliance with route advice and willingness to choose socially desirable routescitations
- 2012The influence of low-fare airlines on vacation choices of students : results of a stated portfolio choice experimentcitations
- 2011Influence of travel advice, pricing and environmental awareness on route choice behavior of car users: results of a stated choice experiment
- 2010Built environment and active travel behavior of children: Results of a Bayesian belief network
- 2010Measuring preferences for parking facilities in old residential areas
- 2009Modeling pedestrian movement in shopping street segments
- 2006Simulation of micro pedestrian behaviour in shopping streets
Places of action
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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Simulation of micro pedestrian behaviour in shopping streets