Mixed Logit Model of Vertical Transport Choice in Toronto Subway Stations and Application within Pedestrian Simulation

Srikukenthiran, Siva; Shalaby, Amer; Morrow, Erin

doi:10.1016/j.trpro.2014.09.104

Cited by 14 publications

(7 citation statements)

References 6 publications

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“…Likewise, a route choice model is estimated, allowing to predict the influence of level changes in walking routes on passenger route choice behavior. Further similar studies are provided by Srikukenthiran et al (2014), Stubenschrott et al (2014) and Ton (2014), who consider railway stations in Canada, Austria and the Netherlands, respectively. Lee et al (2001) provide one of the first model-based studies of pedestrian flows in train stations.…”

Section: Literature Reviewmentioning

confidence: 64%

Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study

Hänseler

Bierlaire

Scarinci

2016

Transportation Research Part A: Policy and Practice

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A framework for assessing the usage and level-of-service of rail access facilities is presented. It consists of two parts. A dynamic demand estimator allows to obtain time-dependent origin-destination flows within pedestrian facilities. Using that demand, a traffic assignment model describes the propagation of pedestrians through the station, providing an estimate of prevalent traffic conditions in terms of flow, travel times, speed and density. The framework is discussed at the example of Lausanne railway station. For this train station, a rich set of data sources including travel surveys, pedestrian counts and trajectories has been collected in collaboration with the Swiss Federal Railways. Results show a good performance of the framework. Moreover, to underline its practical applicability, a six-step planning guideline is presented that can be used to design and optimize rail access facilities for new or existing train stations.

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Section: Literature Reviewmentioning

confidence: 64%

Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study

Hänseler

Bierlaire

Scarinci

2016

Transportation Research Part A: Policy and Practice

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“…As mentioned before, little research has focused on vertical walking facilities. As regards demand estimation, studies focus on indoor infrastructures, considering issues such as users' choice between escalators and conventional stairways at metro or rail stations using random utility models (Srikukenthiran et al, 2013(Srikukenthiran et al, , 2014Zhang et al, 2015) or more recently supervised learning models (Li et al, 2020). However, there is hardly any study specifically addressing demand for outdoor or on-street systems.…”

Section: Demand and Accessibility Estimation Modelsmentioning

confidence: 99%

Planning for sustainable urban mobility: Demand estimation of on-street vertical walking facilities

González-González

Cordera

Alonso

et al. 2021

International Journal of Sustainable Transportation

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The improvement of pedestrian mobility through the use of on-street vertical facilities, i.e. escalators, moving sidewalks, lifts, funiculars and gondola lifts, is becoming increasingly important in many cities with steep slopes that hinder walkers' transit.However, studies on the acceptance, profitability and demand for these facilities are still scarce. The present paper proposes an assessment methodology to evaluate the demand for vertical pedestrian routes and facilities based on diverse accessibility indicators.This methodology was applied to the city of Santander (Spain), where flow measurements and surveys among users of existing vertical walking systems were carried out. These data were modelled using Poisson and Binomial Negative regressions, considering the truncated and discrete character of the dependent variable.The results obtained confirm that vertical walking facilities are highly valued by users.Contrary to expectations, accessibility from these facilities to public services or commercial areas was not relevant to estimate the demand of the existing routes and only accessibility to population proved to be significant. Therefore, it is advisable to install this type of walking facilities in those pedestrian routes located in areas with enough population density over well-equipped central areas, so that the number of potential users justifies their investment and maintenance costs.

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“…In rail transit station, pedestrian choice of vertical walking facilities is the result of the interactions among many factors including sex, age, interlayer height, luggage, walking speed, the difference in the number of pedestrians in front of elevator and stairway (the difference in delay on waiting for escalator and stairway), walking time [3]- [5], [10]. These influence factors are interrelated with each other with collinearity and interdependence, and it is necessary to select the key influence factors [36]. Using the method of Regression Analysis Stepwise (RAS) [3], [10], we select the following factors: interlayer height, luggage, the difference in the number of pedestrians in front of elevator and stairway, and walking speed from the 7 candidate factors, as the key influence factors for building pedestrian choice model.…”

Section: Choice Model Of Vertical Walking Facilities Based On Rf a Influence Factorsmentioning

confidence: 99%

Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign

Wang

Meng

et al. 2019

IEEE Access

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A pedestrian choice model of vertical walking facilities based on random forest is established in rail transit station considering four key influence factors: interlayer height, luggage, the difference in the number of pedestrians in front of elevator and stairway, and walking speed. This model is verified with the collected data of Changchun light-rail transfer station and Beijing Xi-zhi-men railway transfer station, China, and compared with the choice model based on support vector machine. Prediction results of these two choice models are all good and acceptable. The difference between the mean prediction accuracies of these two pedestrian choice models is small (0.62%). Incorporating the choice model of vertical walking facilities into a cellular automata (CA)-based pedestrian simulation model, and setting reminder sign in front of pedestrian choice zone to reduce conflicts, pedestrian choice behavior of vertical walking facilities in rail transit station is simulated. The simulation results indicate that efficiency of pedestrians passing is improved with the effect of reminder sign, and the distance between reminder sign and vertical walking facilities should be set to be larger than 4 m.INDEX TERMS Vertical walking facilities, choice behavior, random forest, reminder sign, pedestrian simulation, cellular automata.

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Mixed Logit Model of Vertical Transport Choice in Toronto Subway Stations and Application within Pedestrian Simulation

Cited by 14 publications

References 6 publications

Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study

Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study

Planning for sustainable urban mobility: Demand estimation of on-street vertical walking facilities

Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign

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