Travel mode choice and impact of fuel tax in Beijing

2013 ◽  
Vol 19 (1) ◽  
pp. 92-110 ◽  
Author(s):  
Ping Qin ◽  
Xinye Zheng ◽  
Lanlan Wang
Keyword(s):  
Mode Choice ◽  
Rapid Development ◽  
Motor Vehicles ◽  
Vehicular Emissions ◽  
Travel Mode ◽  
Fuel Tax ◽  
The Road ◽  
Travel Mode Choice ◽  
On The Road ◽  
The Impact

AbstractAs an international metropolitan area undergoing rapid development, Beijing is facing a sharp rise in the volume of motor vehicles and mobility, which has become the major contributor to the air pollution in this city. This is evident in the recent ranking of Beijing as the most congested as well as the most polluted city in the world by the Millennium Cities Database. Local government has adopted a battery of policies to reduce these problems. In this study, we investigate the impact of increasing the fuel tax on travel mode choice based on a large sample of travel survey data. We estimate that if the price of gasoline increased to a moderate level, 11.53 RMB/liter, the total car volume on the road would be reduced by 7 per cent, which corresponds to a reduction in CO2 emissions of 786,002.4 tons, or about 8 per cent of vehicular emissions from private cars and company-owned cars in Beijing.

scholarly journals Exploring the impact of COVID-19 on individual's travel mode choice in China

2021 ◽  
Vol 106 ◽  
pp. 271-280
Author(s):  
Siliang Luan ◽  
Qingfang Yang ◽  
Zhongtai Jiang ◽  
Wei Wang
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact

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

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
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.

Research on the Impact of Car-Hailing on Travel Mode Choice: Evidence from Chengdu, China

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Fang Tang ◽  
Lin Cheng ◽  
Han Wang ◽  
Peipei Mao ◽  
Jiwan Jiang
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact

scholarly journals Travel Mode of Commuting in Context of Subjective Well-Being—Experience from Slovakia

2021 ◽  
Vol 13 (6) ◽  
pp. 3030
Author(s):  
Barbora Mazúrová ◽  
Ján Kollár ◽  
Gabriela Nedelová
Keyword(s):  
Statistical Tests ◽  
Mode Choice ◽  
Well Being ◽  
Private Life ◽  
Transport Infrastructure ◽  
Subjective Well Being ◽  
Travel Mode ◽  
Exact Test ◽  
Travel Mode Choice ◽  
The Impact

This article deals with commuting to and from work of workers in Slovakia as a part of traveling and its impact on private life of commuters. It provides a more comprehensive view on the socio-demographic determinants which affect the travel mode choice. Furthermore, the study offers several evaluations of the impact on the subjective well-being of commuters. The aim of the article is to review demographic and economic determinants influencing the travel mode choice and to determine its impact on the subjective well-being of respondents. On a sample of approximately 1000 economically active individuals by using several statistical tests (Nominal Logistic Regression, Fisher’s Exact Test, Mann-Whitney Test, Cochran Test, McNemar Test), we identified the determinants affecting the travel mode choice of respondents, including commuting time costs, commuting financial costs, income of respondents, education, gender, type of employment and place of work. This study has also showed that respondents are the most satisfied when commuting by bicycle or on foot and the most dissatisfied when commuting by using public transport. These facts, among others, should be reflected by the creation of sustainable and “green” transport infrastructure in Slovakia.

scholarly journals Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianhui Wu ◽  
Yuanfa Ji ◽  
Xiyan Sun ◽  
Yan Xu
Keyword(s):  
Optimization Model ◽  
Mode Choice ◽  
Operating Cost ◽  
User Equilibrium ◽  
Stochastic User Equilibrium ◽  
Travel Mode ◽  
Tax Rate ◽  
Fuel Tax ◽  
Travel Mode Choice ◽  
Car Travel

This aim of this study is to improve the guidance role of the fuel tax rate and bus departure quantity on travel mode choice. Car and bus travel are chosen as the research object, and a day-to-day evolution model of dual-mode network traffic flow (based on a stochastic user equilibrium model and the method of network tatonnement process) is established. Subsequently, a guidance optimization model of fuel tax rate and bus departure quantity is designed. This guidance optimization model is formulated to determine the comprehensive minimum value among system total travel time of car travel, system total comprehensive cost of bus travel, and the difference between the total operating cost of bus departure increment and the total amount of fuel tax levied on car travelers. Through numerical examples, the validity of this guidance optimization model is verified, and the influence of fuel tax rate and bus departure quantity on the traffic network is analyzed. The results show that a guidance optimization scheme based on fuel tax rate and bus departure quantity can help regulate the proportion of car travel and improve bus service quality.

scholarly journals Chaos Analysis of Urban Low-Carbon Traffic Based on Game Theory

2021 ◽  
Vol 18 (5) ◽  
pp. 2285
Author(s):  
Xiaohui Wu ◽  
Ren He ◽  
Meiling He
Keyword(s):  
Mode Choice ◽  
Urban Traffic ◽  
Low Carbon ◽  
Travel Mode ◽  
Effective Measure ◽  
Chaos Analysis ◽  
Traffic System ◽  
Travel Mode Choice ◽  
Traffic Systems ◽  
The Impact

Developing urban low-carbon traffic is an effective measure to reduce traffic carbon emissions, which are important parts of greenhouse gas. In order to understand the development characteristics and regular patterns of urban low-carbon traffic, we present a game model that enables us to predict the possible range of travel mode choice and the impact of low-carbon awareness. Through chaos analysis and simulation of the model, the authors come to realize that the proportions of travel mode choice can reach an equilibrium under a certain urban traffic system. This equilibrium is related to low-carbon awareness and the situation of the urban traffic system. The research we have done suggests that in small cities with undeveloped traffic systems, the most effective measure to achieve urban low-carbon traffic is to increase the comprehensive costs of high-carbon travel. However, in big cities with developed traffic systems, raising low-carbon awareness of residents can greatly increase the proportion of low-carbon travelers and improve the stability of travel mode choice. The results could provide development strategies and policy suggestions for urban low-carbon traffic and reduce the adverse impact of urban traffic emissions on public health.

scholarly journals MAINTENANCE COSTS OF ROAD PAVEMENT AND MOTOR VEHICLES ON THE ROUTE VILNIUS – KAUNAS – KLAIPEDA

Transport ◽  
2006 ◽  
Vol 21 (2) ◽  
pp. 131-134 ◽  
Author(s):  
Dainius Miškinis ◽  
Vytautas Lingaitis
Keyword(s):  
Motor Vehicles ◽  
Maintenance Costs ◽  
The Road ◽  
Road Pavement ◽  
Pavement Deterioration ◽  
Axle Loads ◽  
On The Road ◽  
The Impact

The article describes the impact of axle loads of vehicles on the road pavement. Pavement deterioration intensity and the charge imposed on vehicles the axle load of which exceeds the set norm are analyzed on the road under investigation according to the results of weighing axle loads of vehicles as well as appropriate calculation methodologies. The work presents regressive equations according to which maintenance costs of vehicles can be predicted taking the condition of pavement into consideration.

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