Exit Choice Behavior of Pedestrians Involving Individuals with Disabilities During Building Evacuations

2018 ◽  
Vol 2672 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Nirdosh Gaire ◽  
Ziqi Song ◽  
Keith M Christensen ◽  
Mohammad Sadra Sharifi ◽  
Anthony Chen
Keyword(s):  
Discrete Choice ◽  
Choice Behavior ◽  
Choice Model ◽  
Stated Preference ◽  
Curve Analysis ◽  
Survey Method ◽  
Visual Disabilities ◽  
Individuals With Disabilities ◽  
Pedestrian Evacuation ◽  
Exit Choice

Pedestrian evacuation studies are critical in obtaining information about evacuation scenarios and in preparing to face the challenges of actual evacuations. Studies have examined evacuation policies, exit choice modeling, and evacuation curve analysis. Some studies have addressed the evacuation behavior of individuals with disabilities (IWDs), although this important aspect of evacuation seems to be missing from modeling of the exit choice in many studies. In modeling of the exit choice for evacuation, many studies have been found to be based on the stated preference survey method, where evacuees are asked to choose an exit based on descriptions, without an actual experiment taking place. This study focuses on the discrete choice model of the exit choice in the room for both IWDs and individuals without disabilities (IWODs). The results demonstrate that the presence of IWDs in the group plays a crucial role in the exit choice for all evacuees. The results demonstrate that there are significant differences in exit choice between IWDs and IWODs. Current evacuation policies have been found to be more focused on visual signs, while this study demonstrates that these visual signs are of little importance to individuals with visual disabilities.

Pedestrian evacuation behavior analysis and simulation in multi-exits case

2017 ◽  
Vol 28 (10) ◽  
pp. 1750128 ◽  
Author(s):  
Yongxing Li ◽  
Hongfei Jia ◽  
Jun Li ◽  
Jian Gong ◽  
Kechao Sun
Keyword(s):  
Cellular Automata ◽  
Choice Model ◽  
Current Position ◽  
Time Model ◽  
Evacuation Time ◽  
Pedestrian Evacuation ◽  
Shortest Distance ◽  
Evacuation Behavior ◽  
Exit Choice ◽  
Pedestrian Simulation

Considering the process of pedestrian evacuation as pedestrian walking freely from current position to exit and queuing at the exit, estimated evacuation time model for single pedestrian is established. Based on estimated evacuation time and shortest distance, pedestrian exit choice model is established considering pedestrian preference. Pedestrian exit choice model is added into pedestrian simulation model which is built based on cellular automata. Pedestrian evacuation behavior in multi-exits case is simulated. The simulations indicate that pedestrian evacuation model built in our work describes the pedestrian evacuation behavior well.

scholarly journals Mode choice analysis using discrete choice model from transport user (Case study: Jakarta LRT, Indonesia)

2018 ◽  
Vol 181 ◽  
pp. 03001
Author(s):  
Dwi Novi Wulansari ◽  
Milla Dwi Astari
Keyword(s):  
Discrete Choice ◽  
Public Transportation ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Light Rail ◽  
Choice Analysis ◽  
Mode Choice Model

Jakarta Light Rail Transit (Jakarta LRT) has been planned to be built as one of mass rail-based public transportation system in DKI Jakarta. The objective of this paper is to obtain a mode choice models that can explain the probability of choosing Jakarta LRT, and to estimate the sensitivity of mode choice if the attribute changes. Analysis of the research conducted by using discrete choice models approach to the behavior of individuals. Choice modes were observed between 1) Jakarta LRT and TransJakarta Bus, 2) Jakarta LRT and KRL-Commuter Jabodetabek. Mode choice model used is the Binomial Logit Model. The research data obtained through Stated Preference (SP) techniques. The model using the attribute influences such as tariff, travel time, headway and walking time. The models obtained are reliable and validated. Based on the results of the analysis shows that the most sensitive attributes affect the mode choice model is the tariff.

scholarly journals Railway and road discrete choice model for foreign trade freight between Antioquia and the Port of Cartagena

2016 ◽  
Vol 36 (3) ◽  
pp. 22 ◽  
Author(s):  
Juan Diego Pineda Jaramillo ◽  
Iván Reinaldo Sarmiento Ordosgoitia ◽  
Jorge Eliécer Córdoba Maquilón
Keyword(s):  
Qualitative Research ◽  
Discrete Choice ◽  
Logit Model ◽  
Choice Model ◽  
Stated Preference ◽  
Revealed Preference ◽  
Freight Transportation ◽  
Multinomial Logit Model ◽  
Discrete Choice Model ◽  
The Cost

Most Colombian freight is transported on roads with barely acceptable conditions, and although there is a speculation about the need for a railway for freight transportation, there is not a study in Colombia showing the variables that influence the modal choice by the companies that generate freight transportation. This article presents the calculation of demand for a hypothetical railway through a discrete choice model. It begins with a qualitative research through focus group techniques to identify the variables that influence the choice of persons responsible for the transportation of large commercial companies in Antioquia (Colombia). The influential variables in the election were the cost and service frequency, and these variables were used to apply a Stated Preference (SP) and Revealed Preference (RP) survey, then to calibrate a Multinomial Logit Model (MNL), and to estimate the influence of each of them. We show that the probability of railway choice by the studied companies varies between 67% and 93%, depending on differences in these variables.

scholarly journals An Empirical Study of Parameter Estimation for Stated Preference Experimental Design

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Fei Yang ◽  
Lin Chen ◽  
Yang Cheng ◽  
Xia Luo ◽  
Bin Ran
Keyword(s):  
Experimental Design ◽  
Choice Behavior ◽  
Arrival Time ◽  
Choice Model ◽  
Stated Preference ◽  
Orthogonal Design ◽  
Parameters Estimation ◽  
Efficient Design ◽  
Travel Choice ◽  
Better Than

The stated preference experimental design can affect the reliability of the parameters estimation in discrete choice model. Some scholars have proposed some new experimental designs, such as D-efficient, Bayesian D-efficient. But insufficient empirical research has been conducted on the effectiveness of these new designs and there has been little comparative analysis of the new designs against the traditional designs. In this paper, a new metro connecting Chengdu and its satellite cities is taken as the research subject to demonstrate the validity of the D-efficient and Bayesian D-efficient design. Comparisons between these new designs and orthogonal design were made by the fit of model and standard deviation of parameters estimation; then the best model result is obtained to analyze the travel choice behavior. The results indicate that Bayesian D-efficient design works better than D-efficient design. Some of the variables can affect significantly the choice behavior of people, including the waiting time and arrival time. The D-efficient and Bayesian D-efficient design for MNL can acquire reliability result in ML model, but the ML model cannot develop the theory advantages of these two designs. Finally, the metro can handle over 40% passengers flow if the metro will be operated in the future.

Discrete choice model of residential location in Krakow

2017 ◽  
Vol 10 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Michal Gluszak ◽  
Bartlomiej Marona
Keyword(s):  
Discrete Choice ◽  
Urban Economics ◽  
Choice Model ◽  
Stated Preference ◽  
Discrete Choice Model ◽  
Urban Housing ◽  
Location Choices ◽  
Housing Preferences ◽  
Content Type ◽  
Residence Location

Purpose This paper aims to discuss the link between socio-economic characteristics of house buyers and their housing location choices. The major objective of the study is an examination of the role of household socio-economic characteristics. The research addresses the importance of previous residence location and latent housing motives for intra-urban housing mobility. Design/methodology/approach The research examines housing preferences structure and analyzes housing location choices in the city of Krakow (Poland) using discrete choice model (conditional logit model). The research is based on stated preference data from Krakow. Findings The results of this study suggest that demand for housing alternatives is negatively linked to the distance from current residence. Other factors stay equal, the further the distance, the less likely a household is willing to choose a location within the metropolitan area. The study indicates that housing motives can help explain housing location decisions. Practical implications The paper provides an empirical assessment of housing decisions in Krakow, one of the major metropolitan areas in Poland. Originality/value The paper contributes to a better understanding of the nature of housing decision and housing preferences in emerging markets in Central and Eastern Europe. As a result, presented research helps to fill the gap in housing market and urban economics literature.

A discrete choice model based on random utilities for exit choice in emergency evacuations

2014 ◽  
Vol 62 ◽  
pp. 418-426 ◽  
Author(s):  
Ruggiero Lovreglio ◽  
Dino Borri ◽  
Luigi dell’Olio ◽  
Angel Ibeas
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Discrete Choice Model ◽  
Emergency Evacuations ◽  
Model Based ◽  
Exit Choice

Exploring the Effect of Sequentially Receiving Airline and Destination Information on the Choice Behavior of Tourism Destinations

2020 ◽  
Vol 60 (2) ◽  
pp. 251-266 ◽  
Author(s):  
Pedram Keshavarzian ◽  
Cheng-Lung Wu
Keyword(s):  
Choice Behavior ◽  
Choice Model ◽  
Stated Preference ◽  
Destination Choice ◽  
Efficient Design ◽  
Final Destination ◽  
Destination Choices ◽  
Using Data ◽  
Airline Tickets ◽  
Airline Ticket

This article reports the results of a holiday destination choice model of domestic travelers in Australia. Although destination choices have been studied before, travelers’ behavior when choosing an airline ticket is less well investigated, in particular the effect of the choice of airline ticket and tourism features on each other and on the final destination choice. Multinomial logit (MNL) models were estimated using data from a Stated Preference (SP) choice experiment based on a D-Efficient design. Following the leader-driven primacy phenomenon, the article also tests whether destination choices are influenced by sequentially receiving information about airline tickets and tourism features. Results show that when airline ticket information is presented first, the destination choice behavior could be affected. In this context, the information sequencing effect is clear. However, the influence of tourism features is not as clear on the final choice when travelers are first exposed to tourism features and then airline tickets.

Analysis of Stated Preferences for Intermodal Bicycle-Transit Interfaces

1996 ◽  
Vol 1556 (1) ◽  
pp. 86-95 ◽  
Author(s):  
Dean Taylor ◽  
Hani Mahmassani
Keyword(s):  
Survey Data ◽  
Discrete Choice ◽  
Choice Model ◽  
Stated Preference ◽  
Discrete Choice Models ◽  
Stated Preferences ◽  
Nested Logit ◽  
Facility Type ◽  
Potential Factors ◽  
Work Trip

One proposed means of increasing use of both transit and bicycles is to replace long automobile trips with “bike and ride” trips. In this study, a stated-preference survey was conducted using hypothetical scenarios within which respondents ranked their preferences for making a work trip by automobile only, park and ride, or bike and ride. The survey addressed numerous potential factors that might influence this choice, including three policy variables that were systematically varied in the scenarios: on-street bicycle facility type, bicycle parking facility type, and bicycle access distance to transit. The survey data are summarized and used to estimate discrete choice models. A nested logit choice model was developed as the preferred model. From this model, inferences are drawn about many factors. Conclusions are drawn about the three main policy variables. In short, the results support the notion that bicycle lockers are the preferred parking facility to increase bike and ride use. The results also indicate that bike lanes are superior to wide curb lanes as an incentive for casual and inexperienced cyclists, but that bike lanes and wide curb lanes are an identical incentive for experienced cyclists.

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