scholarly journals Impact Analysis of Regional Environmental Consciousness as Social Capital Affects Streetcar Users' Travel Choice Behavior

2012 ◽  
Vol 42 (4) ◽  
pp. 963-976
Author(s):  
Kiyomi KAWAMOTO
Keyword(s):  
Social Capital ◽  
Choice Behavior ◽  
Impact Analysis ◽  
Environmental Consciousness ◽  
Travel Choice

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 ASSESSING IMPACT OF RESIDENTIAL SELF-SELECTION ON TRAVEL CHOICE BEHAVIOR IN BANGKOK, THAILAND

2014 ◽  
Vol 70 (5) ◽  
pp. I_735-I_746
Author(s):  
Peamsook SANIT ◽  
Fumihiko NAKAMURA ◽  
Shinji TANAKA ◽  
Rui WANG
Keyword(s):  
Choice Behavior ◽  
Travel Choice ◽  
Self Selection

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.

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

Highway Passenger Transport Development Strategy with the Competition of High-Speed Railway

2011 ◽  
Vol 94-96 ◽  
pp. 527-530
Author(s):  
Si Tao Hu ◽  
Xue Mei Wang
Keyword(s):  
Development Strategy ◽  
High Speed ◽  
Choice Behavior ◽  
Rapid Development ◽  
Technical Support ◽  
Passenger Transport ◽  
High Speed Railway ◽  
Travel Choice ◽  
Support Resource ◽  
The Impact

With the rapid development of high-speed passenger railway and inter-city railway, highway passenger transport is facing an unprecedented competition and pressure. The impact of high-speed railway on highway passenger transport has been analysis and the transport characteristics of high-speed railway are compared with the highways’. On the basis of the travel choice behavior of passengers analysis, the systematized countermeasures of highway passenger transport are put forward including precise orientation, strengthen marketing enhancement, technical support, resource integration, brand service and government help.

Dynamic Mechanism of Effect Factors for Railway Passenger Volume

2014 ◽  
Vol 644-650 ◽  
pp. 5848-5852
Author(s):  
Chen Wang
Keyword(s):  
Choice Behavior ◽  
Gdp Growth ◽  
Economic Factors ◽  
Effect Factors ◽  
Travel Choice ◽  
Linear Dynamic ◽  
Gdp Growth Rate ◽  
Passenger Volume ◽  
Railway Passenger ◽  
Statistical Yearbook

The railway passenger volume is a non-linear, dynamic and complicated issue which is affected by many factors. Using the principle and method of system dynamic, this paper has analyzed the effect factors for railway passenger volume, including the economic factors, rail infrastructure factors and travel choice behavior factor. Considering about the causality among the factors, a dynamic model has been built based on the relevant data from <China Statistical Yearbook (2000-2013)>. At the same time, the model has been run for making predictions (2014-2030). This paper focuses on the influences caused by the fare increase and the increase of GDP growth rate.

scholarly journals Impact Analysis On Corporate Social Responsibility Towards Job Pursuit Intention With Socio-Environmental Consciousness As A Moderating Variable: Case Study Of Undergraduate Students At Universitas Benefit

2017 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Wulan Prihatiningsih ◽  
Muhammad Irfan Syaebani ◽  
Monica Devina
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Undergraduate Students ◽  
Impact Analysis ◽  
Positive Impact ◽  
Tobacco Company ◽  
Environmental Consciousness ◽  
Four Dimensions ◽  
Corporate Social ◽  
The Impact

Corporate Social Responsibility (CSR) is a company’s responsibility to embrace positive impact to the society where it operates. On the other side, CSR is also a tool to balance the interests of the company and the society who is affected by the company’s business activity. Therefore, besides fulfilling an obligation, CSR activity could be utilized as one of strategies to reach the company’s goals including a strategy to increase job pursuit intention of job seekers, thus it enables company to pool as many prospective talents as possible. This quantitative research aims to examine the impact of the four dimensions of CSR - economic citizenship, legal citizenship, ethical citizenship, and philanthropic citizenship - on job pursuitintention which is moderated by socio-environmental consciousness at a tobacco company which perceived as a generous company in carrying out its CSR activities. This research involved 203 undergraduate students majoring in accounting, management, and economics, class of 2012 at Universitas Indonesia. Thedata were collected using questionnaires and processed using the SPSS 20.0 software. The result shows that individual job pursuit intention considers a tobacco company as a prospective workplace which is significantly influenced by four dimensions of CSR, but the socio-environmental consciousness does not moderate the effect of CSR dimensions on job pursuit intention.

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