Influencing Factors of ATIS Information Choice Behavior by Public Transport Traveler

2009 ◽  
Author(s):  
Zhiwei Yang ◽  
Yang Lin ◽  
Lei Jin ◽  
Yi Mao
Keyword(s):  
Influencing Factors ◽  
Public Transport ◽  
Choice Behavior

scholarly journals Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model

2020 ◽  
Vol 12 (24) ◽  
pp. 10661
Author(s):  
Huiqian Sun ◽  
Peng Jing ◽  
Mengxuan Zhao ◽  
Yuexia Chen ◽  
Fengping Zhan ◽  
...  
Keyword(s):  
Public Transport ◽  
Autonomous Vehicles ◽  
Traffic Management ◽  
Choice Behavior ◽  
Ecological Model ◽  
Mode Choice ◽  
Well Being ◽  
The Elderly ◽  
Policies And Measures ◽  
Internal Mechanism

Due to the elderly’s limited physical ability, their mode choice behavior with particular demand for the traffic system is significantly distinguished compared to young people. The emergence of Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) will allow the elderly to travel independently and offer more mode choices. However, emerging vehicles will continue to coexist with other traditional modes such as public transport. This paper aims to explore the internal mechanism of the elderly’s choice behavior among public transport, AVs, and SAVs. We integrated the relevant factors by expanding the ecological model and used the Multiple Indicators and Multiple Causes (MIMIC) model to analyze the constructs’ relationship. The results show that the elderly believe that public transport, AVs, and SAVs are useful and convenient travel modes for themselves, affecting intention significantly. In addition, the elderly’s well-being and social influence during travel are also significant constructs for their behavioral intention. The research could provide academic supports for the traffic management departments when making relevant policies and measures for the elderly.

scholarly journals Modeling a Distance-Based Preferential Fare Scheme for Park-and-Ride Services in a Multimodal Transport Network

2021 ◽  
Vol 13 (5) ◽  
pp. 2644
Author(s):  
Xinyuan Chen ◽  
Ruyang Yin ◽  
Qinhe An ◽  
Yuan Zhang
Keyword(s):  
Public Transport ◽  
Urban Areas ◽  
Choice Behavior ◽  
Programming Model ◽  
Choice Model ◽  
User Equilibrium ◽  
Transport Network ◽  
Park And Ride ◽  
Multimodal Transport ◽  
Transport Modes

This paper investigates a distance-based preferential fare scheme for park-and-ride (P&R) services in a multimodal transport network. P&R is a sustainable commuting approach in large urban areas where the service coverage rate of conventional public transport modes (e.g., train and bus) is poor/low. However, P&R services in many cities are less attractive compared to auto and other public transport modes, especially for P&R facilities sited far away from the city center. To address this issue, this paper proposes a distance-based preferential fare scheme for P&R services in which travelers who choose the P&R mode get a discount. The longer the distance they travel by train, the better the concessional price they get. A multimodal transport network equilibrium model with P&R services is developed to evaluate the impacts of the proposed distance-based fare scheme. The travelers’ mode choice behavior is modeled by the multinomial logit (MNL) discrete choice model, and their route choice behavior is depicted by the user equilibrium condition. A mathematical programming model is then built and subsequently solved by the outer approximation method. Numerical simulations demonstrate that the proposed distance-based preferential fare scheme can effectively motivate travelers to use a P&R service and significantly enhance the transport network’s performance.

scholarly journals Public Transportation Operational Health Assessment Based on Multi-Source Data

2021 ◽  
Vol 11 (22) ◽  
pp. 10611
Author(s):  
Xuemei Zhou ◽  
Zhen Guan ◽  
Jiaojiao Xi ◽  
Guohui Wei
Keyword(s):  
Influencing Factors ◽  
Public Transport ◽  
Public Transportation ◽  
Process Analysis ◽  
Health Assessment ◽  
Multiple Sources ◽  
Operation Condition ◽  
Factors Affecting ◽  
Term Operation ◽  
Calculation Results

In order to solve the problem of inefficient long-term operation of urban public transport vehicles and the difficulty of finding the cause of the disease, a new analysis idea was designed using machine learning methods. This study aimed to provide a rapid, accurate, and convenient solution model and algorithm to address the drawbacks of traditional analysis tools that are incapable of handling multiple sources of public transport data. Based on a full process analysis of the bus operation status, the influencing factors and calculation methods were defined. Afterwards, the calculation results were used to construct a training set with a Random Forest regression model to obtain the weight ranking of different influencing factors. The results of the simulation validation proved that the model can use the basic data of bus operation to quickly find out the primary factors affecting the operation condition and pinpoint to the bottleneck interval. The method has high accuracy and feasibility. It can be universally applied to the analysis of regular bus scenarios to provide strong decision support for the operation level.

Mechanism Research of Bus Dynamic Information Impact on the Commuter Travel Behavior

2015 ◽  
Vol 743 ◽  
pp. 660-666
Author(s):  
E.H. Liu ◽  
S. Tian ◽  
Q. Chen
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Logit Model ◽  
Choice Behavior ◽  
Personal Information ◽  
Route Choice ◽  
Dynamic Information ◽  
Binary Logit Model ◽  
Route Choice Behavior ◽  
Binary Logit

In this paper, according to the characteristics of the bus travel decision-making, the traffic behavior selection data in Nanjing were collected by designing traffic wishes questionnaires and a binary logit model was built on dynamic information service under the bus commuters travel route choice behavior of binary logit model. This paper analyses the effect by using the model parameter calibration including bus-taking time, bus congestion and personal information e.g. age and gender on the bus commuters travel route choice behavior. Studies have shown that public transport information are closely related to travel routes and travel activities, and bus commuters will make adjustments on travel route after obtaining travel information. Public transportation information can change the passengers’ state of participating in transportation and improve the level of the public transport system service in some ways.

Analysis on the Influencing Factors of Traffic Mode Choice Behavior for Regional Travel in China

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Di Miao ◽  
Wei Wang ◽  
Yun Xiang ◽  
Xuedong Hua ◽  
Weijie Yu
Keyword(s):  
Influencing Factors ◽  
Choice Behavior ◽  
Mode Choice
Sign in / Sign up

Export Citation Format

Share Document