Preferred Mode Choice Model for Commuter Purpose Based on Multinominal Logit Model

As a quasi-public traffic mode, more and more attention has been paid to the commuter bus to ease the traffic congestion. To get the travel behaviors of the commuters to which the commuter bus is available, The RP and SP survey about the travel behavior of commuters were carried out and the influencing factors of mode choice are discussed. The commuting mode combinations were found to exist during the decision-making process and there exist the preferred mode and secondary mode for each individual for one trip mode choice. The preferred mode choice model is established based on the multinomial logit mode. The results show that gender, month income, vehicle ownership, commuter cost, and commuter time have marked influences on the result of preferred mode choice for commuter purpose. The goodness of fit parameter ρ2 and goodness-of fit index adjusted by freedom ρ2 of the preferred mode choice model are 0.407 and 0.369 respectively, which implies that the forecast accuracy of the model is high. The VOT of the respondents in the survey is 29.9RMB/h and the results can provide a good reference for designing and optimizing of the commuter bus.

Download Full-text

Exploring the Influence of Attitudes to Walking and Cycling on Commute Mode Choice Using a Hybrid Choice Model

Journal of Advanced Transportation ◽

10.1155/2017/8749040 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Chuan Ding ◽

Yu Chen ◽

Jinxiao Duan ◽

Yingrong Lu ◽

Jianxun Cui

Keyword(s):

Travel Behavior ◽

Traffic Congestion ◽

Structural Equation ◽

Choice Model ◽

Mode Choice ◽

Influential Factors ◽

Travel Mode ◽

Travel Mode Choice ◽

The Impact ◽

Hybrid Choice Model

Transport-related problems, such as automobile dependence, traffic congestion, and greenhouse emissions, lead to a great burden on the environment. In developing countries like China, in order to improve the air quality, promoting sustainable travel modes to reduce the automobile usage is gradually recognized as an emerging national concern. Though there are many studies related to the physically active modes (e.g., walking and cycling), the research on the influence of attitudes to active modes on travel behavior is limited, especially in China. To fill up this gap, this paper focuses on examining the impact of attitudes to walking and cycling on commute mode choice. Using the survey data collected in China cities, an integrated discrete choice model and the structural equation model are proposed. By applying the hybrid choice model, not only the role of the latent attitude played in travel mode choice, but also the indirect effects of social factors on travel mode choice are obtained. The comparison indicates that the hybrid choice model outperforms the traditional model. This study is expected to provide a better understanding for urban planners on the influential factors of green travel modes.

Download Full-text

Mode Choice Model with Travel Time Reliability and Commuters' Travel Behavior Before/After a Major Public Transportation Service Closure

The Network Reliability of Transport ◽

10.1016/b978-008044109-2/50011-2 ◽

2003 ◽

pp. 171-188 ◽

Cited By ~ 1

Author(s):

H WAKABAYASHI ◽

K ASAOKA ◽

Y IIDA ◽

H KAMEDA

Keyword(s):

Travel Time ◽

Public Transportation ◽

Travel Behavior ◽

Choice Model ◽

Mode Choice ◽

Travel Time Reliability ◽

Transportation Service ◽

Mode Choice Model ◽

Service Closure

Download Full-text

Mode Choice Model for Public Transport with Categorized Latent Variables

Mathematical Problems in Engineering ◽

10.1155/2017/7861945 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 8

Author(s):

Jian Chen ◽

Shoujie Li

Keyword(s):

Public Transport ◽

Latent Variables ◽

Logit Model ◽

Latent Variable ◽

Goodness Of Fit ◽

Choice Model ◽

Mode Choice ◽

Integrated Model ◽

Mode Choice Model ◽

The Impact

Mode choice model for public transport, which integrates structural equation model (SEM) and discrete choice model (DCM) with categorized latent variables, was presented in this paper. Apart from identifying those important latent variables that affect mode choice for public transport, the objective of this study was also to develop an improved disaggregative model that better explains travel behavior of those decision-makers in choosing public transport. After extensive observations, selective latent variable sets which consist of latent variable components were chosen together with explicit variables in formulating the utility functions. Data collected in Chengdu city, China, were used to calibrate and validate the model. Results showed that the impact of fare on mode choice of public transport escalated in the SEM-DCM integrated model compared with the traditional logit model. The goodness of fit for the integrated model with latent variable sets is 0.201 higher than that of the traditional logit model, which proves that latent variables have an obvious impact on mode choice behavior, and the SEM-DCM integrated model has higher accuracy and stronger explanatory ability. The results are especially helpful for public transport operators to achieve higher mode share split by improving the service quality of public transport in terms of providing more convenience and better service environment for public transport users.

Download Full-text

A Critical Appraisal of Mode Choice Model of Work Trips

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.f9056.109119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 1766-1770

Keyword(s):

Traffic Congestion ◽

Choice Model ◽

Mode Choice ◽

Face To Face ◽

Transportation Modes ◽

Mode Choice Model ◽

Private Car ◽

Horizontal Spread ◽

Work Education ◽

The City

In the present scenario in world, many mode choice models have been developed to predict the travelers mode choice in the available modes of transportation system .The mode choice model is one of a very significantcomponent in the urban transportation planning and policies,specifically in countries that are toward development and urbanization, likeSouth Asian countries(India, Bangladesh, Nepal,etc.)the increasing horizontal spread of cities that led to increased travel demand.The aim of this review is to study the developing of mode choice model for various transportation modes .The developed models cover different modes of transportation currently employed in cities,which are Private car,Taxi,Publicbus,Autorickshaw,Motorcycles,Shared car,Bicycles,Walking.They have been tried to be estimated for work, education,shopping and other trips .There are some factors that considerablyinfluence the choice of transport modes are:Socio economics variables such as age,gender, car ownership,and family monthly income.Network variables are such as travel time,travel cost,comfort,reliability, employment, driving licenseweather,and dust &noise. The data was collected for eachof the alternative modes through questionnaire by face to face interview or by using Google form. There are different methods that can be applied for the developing a mode choice model,multinomial logitmodel is the easiest method with simple mathematical calculations; this method was also used by many authors for analysis and for checking the validation the likelihood ration test .the application of mode choice model is significant to mode user to have best choice, and also such models can assist in the alleviation of traffic congestion and air pollution in the city.

Download Full-text

Mode Choice Model with Travel Time Reliability and Commuters' Travel Behavior before/after a Major Public Transportation Service Closure

The Network Reliability of Transport ◽

10.1108/9781786359544-010 ◽

2003 ◽

pp. 171-188 ◽

Cited By ~ 3

Author(s):

Hiroshi Wakabayashi ◽

Katsuhiko Asaoka ◽

Yasunori Iida ◽

Hiroyuki Kameda

Keyword(s):

Travel Time ◽

Public Transportation ◽

Travel Behavior ◽

Choice Model ◽

Mode Choice ◽

Travel Time Reliability ◽

Transportation Service ◽

Mode Choice Model ◽

Service Closure

Download Full-text

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

Journal of Sustainable Real Estate ◽

10.22300/1949-8276.11.1.108 ◽

2019 ◽

Vol 11 (1) ◽

pp. 108-129

Author(s):

Andrew G. Mueller ◽

Daniel J. Trujillo

Keyword(s):

Land Use ◽

Built Environment ◽

Discrete Choice ◽

Travel Behavior ◽

Choice Model ◽

Mode Choice ◽

Land Use Regulation ◽

Policy Action ◽

Development Goals ◽

The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

Download Full-text