scholarly journals Mode Choice Model for Public Transport with Categorized Latent Variables

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
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.

A Mode Choice Model for a Public Transport Transfer Center in Istanbul

2011 ◽  
Vol 97-98 ◽  
pp. 606-610
Author(s):  
Huseyın Onur Tezcan ◽  
Fatih Yonar ◽  
Sabahat Topuz Kiremitci
Keyword(s):  
Public Transport ◽  
Logit Model ◽  
Choice Model ◽  
Mode Choice ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Questionnaire Data ◽  
Mode Choice Model

The aim of this study is to understand the reasons behind the mode choice preferences of passengers using a public transport transfer center. For this aim, a questionnaire data obtained at an interim transfer center in Istanbul is utilized. This interim center hosts stops for paratransit, bus and metro modes. A multinomial logit model of modal preferences is estimated and the coefficient results of this model are used to analyze and compare modes.

scholarly journals The Impact of Employer Attitude to Green Commuting Plans on Reducing Car Driving: A Mixed Method Analysis

2014 ◽  
Vol 26 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Chuan Ding ◽  
Chao Liu ◽  
Yaoyu Lin ◽  
Yaowu Wang
Keyword(s):  
Co2 Emissions ◽  
Mixed Method ◽  
Latent Variables ◽  
Choice Model ◽  
Mode Choice ◽  
Car Ownership ◽  
Simultaneous Estimation ◽  
Model Parameters ◽  
Employer Attitudes ◽  
The Impact

Reducing car trips and promoting green commuting modes are generally considered important solutions to reduce the increase of energy consumption and transportation CO2 emissions. One potential solution for alleviating transportation CO2 emissions has been to identify a role for the employer through green commuter programs. This paper offers an approach to assess the effects of employer attitudes towards green commuting plans on commuter mode choice and the intermediary role car ownership plays in the mode choice decision process. A mixed method which extends the traditional discrete choice model by incorporating latent variables and mediating variables with a structure equation model was used to better understand the commuter mode choice behaviour. The empirical data were selected from Washington-Baltimore Regional Household Travel Survey in 2007-2008, including all the trips from home to workplace during the morning hours. The model parameters were estimated using the simultaneous estimation approach and the integrated model turns out to be superior to the traditional multinomial logit (MNL) model accounting for the impact of employer attitudes towards green commuting. The direct and indirect effects of socio-demographic attributes and employer attitudes towards green commuting were estimated. Through the structural equation modelling with mediating variable, this approach confirmed the intermediary nature of car ownership in the choice process. The results found in this paper provide helpful information for transportation and planning policymakers to test the transportation and planning policies effects and encourage green commuting reducing transportation CO2 emissions.

scholarly journals The Impact of Perception toward the Built Environment in Airport Access Mode Choice Using Hybrid Choice Modeling

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Mahdi Yazdanpanah ◽  
Mansour Hadji Hosseinlou
Keyword(s):  
Built Environment ◽  
Latent Variable ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Residential Areas ◽  
Education Experience ◽  
Access Mode ◽  
Airport Access ◽  
The Impact

Built environment (BE), as an objective variable, plays a substantial role in urban residents’ behavior. However, the perception toward a BE, as a subjective variable, varies among people. To identify the role of perception toward BE, we used a stated preference (SP) survey conducted in January–February 2015 at the Imam Khomeini International Airport (IKIA), Tehran, Iran. The data was drawn from 641 individuals; 359 of them were residents of Tehran. For the estimation of the model, a hybrid discrete choice model was used to capture the latent variable, in addition to mode attributes and trip conditions, with 1795 SP observations. Psychometric questions concerned the perception of ease in access to main streets or highways and good traffic conditions within their residential areas. The results showed that the latent variable (positive perception toward built environment or PBE) had a significant positive effect on people’s willingness to park at the airport. Moreover, the gender, age, marital status, level of education, experience living in a foreign country, and income level also influenced the formation of perception toward the BE and airport transportation mode choice.

Measuring the Impact of Latent Variables on Mode Choice Behavior between Bike and Electric Bike

2011 ◽  
Vol 255-260 ◽  
pp. 4075-4079
Author(s):  
Ming Wei He ◽  
Min He ◽  
Xiao Qing Yang ◽  
Qing Qian Zhao
Keyword(s):  
Discrete Choice ◽  
Latent Variables ◽  
Choice Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Traffic Planning ◽  
Taste Heterogeneity ◽  
The Impact ◽  
Electric Bike ◽  
Sampling Survey

The researches on competitive mode choice behavior between electric bike and bike are useful for the analysis and forecasting of traffic mode, non-motorized traffic planning and related policy. With the sampling survey data in Kunming, individuals’ attitude and preference are analyzed based on SP data. The competitive choice model between electric bike and bike based on discrete choice model is established. The impact of latent variables on mode choice behavior between bike and electric bike is measured based on the estimation results. The result shows that the latent variables have significant impact on the choice behavior. The latent variables can be used to improve the performance of the model and to better capture taste heterogeneity.

scholarly journals LATENT VARIABLE ENRICHED MODE CHOICE MODEL FOR WORK ACTIVITY IN MULTI MODAL CONDITION PREVALENT IN INDIA

2016 ◽  
Vol 6 (4) ◽  
pp. 378-389
Author(s):  
Anu Plavara Alex ◽  
Manju Vasudevan Saraswathy ◽  
Kuncheria Palampoikayil Isaac
Keyword(s):  
Latent Variable ◽  
Choice Model ◽  
Mode Choice ◽  
Work Activity ◽  
Mode Choice Model

scholarly journals Research on the Choice Behavior of Taxis and Express Services Based on the SEM-Logit Model

2019 ◽  
Vol 11 (10) ◽  
pp. 2974 ◽  
Author(s):  
Yang Si ◽  
Hongzhi Guan ◽  
Yuchao Cui
Keyword(s):  
Latent Variables ◽  
Logit Model ◽  
Latent Variable ◽  
Structural Equation ◽  
Choice Behavior ◽  
Online Survey ◽  
Mode Choice ◽  
Explanatory Power ◽  
Equation Model ◽  
Internet Technology

With the development of Internet technology, online car-hailing is booming in China, which has profoundly affected people’s travel structures. In order to seek the sustainable development of taxi and online car-hailing services from the perspective of passenger mode choice behavior, the mechanism of passengers’ decision-making procedures and their travel mode choice behaviors were analyzed. To study the influence of latent variable factors on passenger choice behavior, this paper firstly designed a questionnaire, and a structural equation model (SEM) was established for the preliminary study of the relationship between the latent variables and the behavioral intentions using the online survey data. Then, the latent variables were introduced into the Logit model, setting up the SEM-Logit model to explore the mode choice patterns between taxis and online car services. The results showed that the SEM-Logit model with the latent variables is better than a general Logit model in terms of the model precision and hit ratio. Meanwhile, after introducing the latent variables, it was found that convenience, comfort, and economy factors have a significant influence on the model, and the explanatory power of the model increases accordingly.

scholarly journals Allowing for Heterogeneity in the Consideration of Airport Access Modes: The Case of Bari Airport

2019 ◽  
Vol 2673 (8) ◽  
pp. 50-61 ◽  
Author(s):  
Angela S. Bergantino ◽  
Mauro Capurso ◽  
Thijs Dekker ◽  
Stephane Hess
Keyword(s):  
Public Transport ◽  
Latent Variable ◽  
Choice Model ◽  
Mode Choice ◽  
Reasonable Assumption ◽  
The Public ◽  
Transport Services ◽  
Variable Approach ◽  
Access Mode ◽  
Airport Access

Mode choice models traditionally assume that all objectively available alternatives are considered. This might not always be a reasonable assumption, even when the number of alternatives is limited. Consideration of alternatives, like many other aspects of the decision-making process, cannot be observed by the analyst, and can only be imperfectly measured. As part of a stated choice survey aimed at unveiling air passengers’ preferences for access modes to Bari International Airport in Italy, we collected a wide set of indicators that either directly or indirectly measure respondents’ consideration of the public transport alternatives. In our access mode choice model, consideration of public transport services was treated as a latent variable, and entered the utility function for this mode through a “discounting” factor. The proposed integrated choice and latent variable approach allows the analyst not only to overcome potential endogeneity and measurement error issues associated with the indicators, but also makes the model suitable for forecasting. As a result of accounting for consideration effects, we observed an improvement in fit that also held in a validation sample; moreover, the effects of policy changes aimed at improving the modal share of public transport were considerably reduced.

scholarly journals Mode choice model analysis between ridesouring and ridesplitting service in DKI Jakarta

2019 ◽  
Vol 270 ◽  
pp. 03013 ◽  
Author(s):  
Anggit Cahyo ◽  
Nahry ◽  
Helen Burhan
Keyword(s):  
Logit Model ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Mode Switching ◽  
Additional Time ◽  
Binary Logit Model ◽  
Mode Choice Model ◽  
Binary Logit ◽  
Sensitivity Rate

Beside the ridesoucing service, ridesplitting service is also offered by Transport Network Companies (TNC). The ridesplitting service have more benefit than ridesourcing because it is using the concept of carsharing. The current condition for ridesplitting service is not popular and only have small demand than ridesourcing service. This study aims to establish a mode choice model between ridesourcing and ridesplitting service in DKI Jakarta and to estimate the potential of demand shifting from ridesourcing to ridesplitting service in DKI Jakarta. The mode choice model is developed from binary logit model with stated preference survey using fare saving, additional time travel and security presented by gender parameter of ridesplitting service. the sensitivity of logit model show that highest sensitivity rate to increase mode switching to ridesplitting service is in 20% to 50% fare saving level. The probability of current condition to switch to ridesplitting service is 20%.

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

2011 ◽  
Vol 97-98 ◽  
pp. 570-575
Author(s):  
Yan Han ◽  
Hong Zhi Guan ◽  
Meng Xue
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Goodness Of Fit ◽  
Choice Model ◽  
Mode Choice ◽  
Forecast Accuracy ◽  
Vehicle Ownership ◽  
Mode Choice Model ◽  
Public Traffic ◽  
Fit Index

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.

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