Discrete choice models of pedestrian walking behavior

Antonini, Giovanni; Bierlaire, Michel; Weber, Marcel

doi:10.1016/j.trb.2005.09.006

Cited by 517 publications

(245 citation statements)

References 20 publications

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“…The complexity of pedestrian behavior comes from the presence of collective behavioral patterns evolving from the interactions among a large number of individuals. This empirical evidence leads to consider two different approaches; pedestrians as a flow and pedestrians as a set of individuals or agents (Antonini et al, 2006). These studies confirm that pedestrians are essential actors who closely associated with immediate physical environment.…”

Section: Multivariate Correlation Between Pedestrians Andmentioning

confidence: 63%

“…Sisiopiku and Akin (2003) stated that pedestrian's behavior was affected by the conditions of signalized and unsignalized intersection crosswalks, unsignalized marked and non-striped midblock crosswalks, physical barriers, midblock crosswalk shelters, colored paving at medians and curbs, and pedestrian warning signs. Antonini et al (2006) identified that safety-related immediate environment influences walking behavior of the pedestrians.…”

Section: The Selection Of Eight Governing Variablesmentioning

confidence: 99%

“…Sisiopiku and Akin (2003) reported the pedestrians' perception towards various pedestrian facilities. Antonini et al, (2006) demonstrated the characteristics of pedestrians' movement given the presence of other pedestrians. These studies substantiated the important position of pedestrians in the transportation context including impacts created by pedestrians themselves.…”

Section: Introductionmentioning

confidence: 99%

“…These variables are believed to influence pedestrians as recent studies support it. These studies are, for example, undertaken by Shriver (1997), Keegan and O'Mahony (2003), Sisiopiku and Akin (2003), Alta Planning and Design Inc. (2004), Parks and Schofer (2006), and Antonini et al (2006). CBD in Bandung City has also been chosen because of its unique condition of PFE.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prediction of Citizens’ Decisions on Transport Mode Choice in Bandung City, Indonesia by Using General Linear Model Given existing Level of Pedestrian Friendly Environment

Permana

Nazri

Ludin³

2014

int. j. sci. eng.

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-Significant contribution of non-motorized transport to energy and environment has changed the view of people on walking or cycling as one of transport modes. While promoting mass rapid transport, modern cities tend to promote pedestrianization as well to encourage people to walk instead of relying on motorized transport. Creating pedestrian friendly environment in particular parts of the city, especially in CBD, is one such attempt. This study tries to investigate the correlation between perceptions of the citizens on pedestrian friendly environment (PFE) and their decision on the choices of transport modes. The central business district of Bandung City in Indonesia was chosen as the study area. A questionnaire-based research was used to acquire data on citizens' perception. Eight variables were employed to understand citizens' perception on PFE. The result shows that PFE does influence citizens' decision on their transport modes choice.

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Section: Multivariate Correlation Between Pedestrians Andmentioning

confidence: 63%

Section: The Selection Of Eight Governing Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of Citizens’ Decisions on Transport Mode Choice in Bandung City, Indonesia by Using General Linear Model Given existing Level of Pedestrian Friendly Environment

Permana

Nazri

Ludin³

2014

int. j. sci. eng.

View full text Add to dashboard Cite

show abstract

“…The microscopic parameters included the speed and the turning angle defined in the previous section; besides, the duration of each passenger travelling across the corridor was the other microscopic parameter [32][33][34].…”

Section: Parameter Definitionmentioning

confidence: 99%