Study on Residential Daily En-Route Travel Choice Behavior with Traffic Information: Application of RP/SP Joint Survey and Disaggregate Model

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Yi Zhang ◽  
Meiping Yun ◽  
Xiaoguang Yang
Keyword(s):  
Choice Behavior ◽  
Traffic Information ◽  
Travel Choice ◽  
Disaggregate Model

Applying an ensemble-based model to travel choice behavior in travel demand forecasting under uncertainties

2019 ◽  
Vol 12 (6) ◽  
pp. 375-385
Author(s):  
Long Cheng ◽  
Xinjun Lai ◽  
Xuewu Chen ◽  
Shuo Yang ◽  
Jonas De Vos ◽  
...  
Keyword(s):  
Choice Behavior ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Travel Choice ◽  
Travel Demand Forecasting

scholarly journals How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Aihua Fan ◽  
Xumei Chen ◽  
Tao Wan
Keyword(s):  
Choice Behavior ◽  
Rapid Development ◽  
Age Groups ◽  
Multinomial Logit Model ◽  
Travel Choice ◽  
Last Mile ◽  
Before And After ◽  
Beijing China ◽  
Significant Factors ◽  
Last Mile Problem

In recent years, there has been rapid development in bicycle-sharing systems (BSS) in China. Moreover, such schemes are considered promising solutions to the first/last mile problem. This study investigates the mode choice behaviors of travelers for first/last mile trips before and after the introduction of bicycle-sharing systems. Travel choice models for first/last mile trips are determined using a multinomial logit model. It also analyzes the differences in choice behavior between the young and other age groups. The findings show that shared bicycles become the preferred mode, while travelers preferred walking before bicycle-sharing systems were implemented. Gender, bicycle availability, and travel frequency were the most significant factors before the implementation of bicycle-sharing systems. However, after implementation, access distance dramatically affects mode choices for first/last mile trips. When shared bicycles are available, the mode choices of middle-aged group depend mainly on gender and access distance. All factors are not significant for the young and aged groups. More than 80% of public transport travelers take walking and shared bicycles as feeder modes. The proposed models and findings contribute to a better understanding of travelers’ choice behaviors and to the development of solutions for the first/last mile problem.

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.

Dynamic Model Research of Departure Time and Route Choice Based on Prospect Theory

2011 ◽  
Vol 243-249 ◽  
pp. 4418-4421
Author(s):  
Zhi Yong Yang ◽  
Gui Yun Yan
Keyword(s):  
Prospect Theory ◽  
Choice Model ◽  
Weighting Function ◽  
Route Choice ◽  
Traffic Information ◽  
Traveler Information ◽  
Travel Choice ◽  
Traveler Information Systems ◽  
Model Research ◽  
Departure Time

This paper takes commuters’ daily travel as research object to build model of travel choice which contains departure time and travel route based on Prospect Theory. Choosing the time of arriving destination as reference point, commuter will choose the time at which he/she can obtain the maximum value as departure time, then establishes choice model of departure time. Using Bayesian Theory to update and adjust route’s forecasting travel time in light of traffic information provided by Advanced Traveler Information Systems (ATIS) and travelers’ previous experience information. Gets decision weighting function after having analyzed traveler’s individual subjective probability which is about the possible result for route choice, then obtains the expression of travel route’s prospect value and gets route choice model. Finally, by designing a network to analyze the dynamic choice model, and achieves expected effect.

Stochastic Choice Behavior on Road Traffic Networks under Information Provision

2013 ◽  
Vol 361-363 ◽  
pp. 2173-2184 ◽  
Author(s):  
Jun Wang ◽  
Meng Liu ◽  
Hong Mei Zhou ◽  
Ying En Ge
Keyword(s):  
Individual Differences ◽  
Choice Behavior ◽  
Information Quality ◽  
Road Traffic ◽  
Information Provision ◽  
Traffic Information ◽  
Traffic Networks ◽  
Stochastic Choice ◽  
Information Interpretation ◽  
Road Traffic Networks

This paper attempts to model stochastic choice behavior in simultaneous trip route and departure time decision-making on road traffic networks, taking into account information quality and individual differences in information interpretation among the population of travelers. Different from the traditional stochastic model, the proposed choice behavior model assumes that road users simultaneously select the trip routes and departure times that have the largest probabilities of incurring the least generalized travel costs. This model is applicable in both static and dynamic settings and can be applied to both ordinary travelers as well as operators of emergent vehicles, e.g., the fire engine. The preliminary numerical experiments show that the proposed stochastic choice model can reflect the overreaction phenomena reported in studies of traffic information provision and the impacts of the types of traffic information on the effectiveness of information provision. This model opens a potential way to analyze network equilibrium behavior taking into account individual differences in the ability of information interpretation as well as information quality.

Effects of Weibo Information on Travel Choice Behavior

CICTP 2014 ◽  
2014 ◽  
Author(s):  
Xiaowei Jiang ◽  
Yanjie Ji ◽  
Wei Deng
Keyword(s):  
Choice Behavior ◽  
Travel Choice
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