scholarly journals On the Strategy Mode of Suzhou's Low-Carbon Urban Transportation

2014 ◽  
Author(s):  
Ming Chen
Keyword(s):  
Urban Transportation ◽  
Low Carbon

Research on Assessment of Urban Transportation Low-Carbonization Development

2013 ◽  
Vol 779-780 ◽  
pp. 872-877
Author(s):  
Hong Hua ◽  
Yu Han Xiong
Keyword(s):  
Road Network ◽  
Urban Transportation ◽  
Influence Factors ◽  
Indicator System ◽  
Assessment Method ◽  
Energy Utilization ◽  
Low Carbon ◽  
Transportation Management ◽  
Assessment Indicator ◽  
Set Up

Five influence factors of urban transportation low-carbonization development are analyzed which includes low-carbon transportation planning, road network construction, green travel, energy utilization and transportation management. The assessment indicator system and the assessment method of urban transportation low-carbonization development are set up. A case of assessment in Chengyang District is studied.

Driving Factors of Transportation CO2 Emissions in Beijing: An Analysis from the Perspective of Urban Development

2020 ◽  
pp. 2050013
Author(s):  
Sun Yan ◽  
Zhang Yu ◽  
Liu Xuemin
Keyword(s):  
Urban Development ◽  
Urban Expansion ◽  
Urban Transportation ◽  
Driving Factors ◽  
City Size ◽  
Driving Mechanism ◽  
Low Carbon ◽  
Energy Technologies ◽  
Transportation Emissions ◽  
Economic Size

There is a coupling relationship between the development of urban transportation and cities: Urban growth leads to increase in the demand for urban transportation and consequently, a lot of transportation emissions. Therefore, an in-depth understanding of the mechanism behind the driving effect of urban development on transportation emissions is a crucial prerequisite for coordinated development of low-carbon urban transportation and cities. Based on the oil product allocation method, this paper estimates the transportation emission in Beijing from 1995 to 2016. Then based on the understanding of the driving mechanism, this paper applies the urban allometric scaling law to analyze the relationship between city size and transportation emission. Finally, the driving mechanism is analyzed using the STRIPAT model. The results reveal a superlinear relationship between transportation emission in Beijing and the expansion of the city, as the former outgrew the latter. Population size, urbanization, economic size, industrial structure, spatial scale and infrastructure construction are positive driving factors of transportation emission, whereas progress of energy technologies as a negative driving factor can restrain the growth of transportation emission. Urbanization has the most significant impact on urban transportation emission, and economic size contributes the most to the growth of transportation emission. Based on the results, we make a few policy recommendations for low-carbon urban transportation of Beijing, which include: improving transportation efficiency in the process of urbanization; promoting energy conservation and emission reduction while pursuing economic development so as to decouple transportation emission from urban development; restricting unordered urban expansion and updating the concept of transportation infrastructure supply; and developing energy technologies to improve energy efficiency.

Estimation of the Environmental Load Caused by Introducing Light Rail Transit Using an Urban Transportation Simulator

2013 ◽  
Vol 295-298 ◽  
pp. 669-672
Author(s):  
Nozomi Kudo ◽  
Hideo Nakamura
Keyword(s):  
Public Transportation ◽  
Urban Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Environmental Load ◽  
Light Rail Transit ◽  
Low Carbon ◽  
Modal Shift

A modal shift from automobiles is imperative in the transportation field for realizing a low-carbon society. We have developed a simulator that can quantitatively assess the effect of a modal shift by simulating track-based public transportation, such as LRT (Light Rail Transit), and automobile transportation. This paper presents an example in which we used the simulator to calculate the effect in a case where track-based transportation is implemented.

Prospective Prognosis of Beijing Urban Transportation Energy Consumption and Carbon Emission

2012 ◽  
Vol 253-255 ◽  
pp. 1121-1129
Author(s):  
Ying Yue Hu ◽  
Feng Chen ◽  
Yao Huang
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
Road Traffic ◽  
Urban Transportation ◽  
Forecast Model ◽  
Calculation Model ◽  
Urban Rail Transit ◽  
Low Carbon ◽  
Transportation Energy ◽  
Urban Rail

In order to achieve the goal of low-carbon development of the Beijing transportation, the changing trend of the transportation energy consumption and carbon emission is analyzed based on the inertia development of the present situation or under different macroscopic regulations so as to provide theoretical reference for transportation department to formulate development strategies effectively. According to the characteristics of the Beijing urban transportation system, first a energy consumption and carbon emission calculation model for urban road traffic and urban rail transit was established separately. Then the inertia-based prediction model of Beijing urban transportation energy consumption and carbon emission was established, by analyzing the development law of the related basic parameters using regression and other methods. According to the current policies, the development and prediction of part of the parameters were limited, and a scenario forecast model has been thus established (suitable up to 2020). Four types of scenario prediction examples under different policies were presented, and the contribution rate of each policy for carbon emission was analyzed.

scholarly journals Developing a system dynamics approach for CNG vehicles for low-carbon urban transport: a case study

2020 ◽  
Author(s):  
Nima Shamsapour ◽  
Ahmad Hajinezhad ◽  
Younes Noorollahi
Keyword(s):  
Natural Gas ◽  
System Dynamics ◽  
Diesel Fuel ◽  
Co2 Emission ◽  
Urban Transportation ◽  
Urban Transport ◽  
Transport Sector ◽  
Low Carbon ◽  
High Emission

Abstract Today both the economic growth and expansion of urbanization have increased community access to private cars. Thus, the urban transportation has become a critical part of energy consumption and greenhouse gas emissions. The excessive dependence of urban transportation on high-emission fuels is the main obstacle to develop a low-carbon transport. Meanwhile, natural gas is a bridge fuel to develop a low-emission transport. To the best of our knowledge, there has been little attention towards the association between the development of natural gas-fueled vehicles and the CO2 emission. Therefore, the problem we studied is the role of compressed natural gas (CNG) vehicles in replacing high-emission fuels. In this study, we aimed to study this association by selecting the system dynamics approach due to the complexities of the social-economic system of transportation. In this modeling, different subsystems of the transport fleet were employed including CNG vehicles and urban transportation subsystems. Iran has used CNG as an alternative fuel in the transportation sector, making it one of the three leading countries in the use of natural gas in the urban transportation system. Our case study is focused on Tehran, which is the capital and the largest city of Iran. In this paper, we considered several scenarios to replace the gasoline fuel in the private car sector and taxis and diesel fuel in the bus fleet with natural CNG fuel. The results show that the replacement of CNG fuel with high-emission fuels can have a significant effect on reducing CO2 emissions. In the synthetic scenario, CO2 emission will be decreased by 11.42% in 2030, as compared to the business as usual (BAU) scenario in this year. According to Iran’s commitment to the Paris Agreement, the emission of CO2 in Iran should normally be reduced by 4% in 2030, as compared to its amount in the BAU scenario. Therefore, Iran can easily fulfill its obligations in the urban transport sector only by replacing gasoline and diesel fuel with CNG.

Evaluation on Urban Low-Carbon and Ecological Transportation System

2013 ◽  
Vol 361-363 ◽  
pp. 1967-1972
Author(s):  
Jian Min Jia ◽  
Ru Hua Zhang
Keyword(s):  
Traffic Congestion ◽  
Evaluation System ◽  
Evaluation Method ◽  
Urban Transportation ◽  
Variation Method ◽  
Low Carbon ◽  
Evaluation Indexes ◽  
Fast Development ◽  
Transportation Development ◽  
The Evaluation System

With the Fast Development of Economy, Urban Transportation Problems, such as Traffic Congestion, Energy Consumption and Pollution Emission, is Becoming more and more Serious. to Deal with this, Low-Carbon and Ecological Become Significant for Urban Development, and they are the Evaluation Criterions for Urban Transportation Development. Based on the Former Research on Transportation Evaluation, we Add Evaluation Indexes about Pedestrian and Bicycle, which Completes the Evaluation System. Whats more, we Combine the AHP and Coefficient of Variation Method while make Evaluation, which is Different from the Traditional Evaluation Method. Finally, in Order to Test the Evaluation System and Evaluation Method in the Paper, we Choose Jinan as the Example.

China’s Urban Low-Carbon Transportation

2014 ◽  
Vol 962-965 ◽  
pp. 1697-1700
Author(s):  
Rong Hua Chen
Keyword(s):  
Carbon Emissions ◽  
Technology Innovation ◽  
Urban Transportation ◽  
Low Carbon ◽  
The Status

At present, the development of China’s urban low-carbon transportation is lagging. This paper analyzed the status of carbon emissions of China's urban transportation, and pointed out that the main problems of China's urban low-carbon transportation were: high carbonation of the urban transportation structure, the unreasonableness of urban layout, the lagging management of low-carbon transportation, the lagging technology innovation of low-carbon transportation. Finally, based on the analysis of the problems, this paper put forward some measures for the development of China's urban low carbon transportation.

Research on the Driving Force Factors of Development of Low Carbon of Urban Transportation: Taking Tianjin as an Example

2013 ◽  
Vol 798-799 ◽  
pp. 1115-1118
Author(s):  
Jian Li ◽  
Hong Yuan Liu ◽  
Xin Teng
Keyword(s):  
Energy Consumption ◽  
Urban Space ◽  
Public Transportation ◽  
Carbon Emission ◽  
Urban Transportation ◽  
Correlation Method ◽  
Traffic Volume ◽  
Urban Traffic ◽  
Energy Structure ◽  
Low Carbon

Urban transportation is the main way of carbon emission, development of low-carbon transportation has become the focus of attention of the countries all over the world. This paper analyses the influencing factors of carbon emission of Tianjin transportation based on grey correlation method, putting forward that the cost of urban resident transportation, traffic volume of urban passenger, number of private car and energy consumption of urban transportation are the most important key factors. Therefore, in order to construct low-carbon transportation system, Tianjin should design the layoff of urban space reasonably to control the demand of transportation effectively to reduce the urban transportation cost first, develop urban public transportation to optimize the urban traffic structure in response to the growing urban traffic volume of passenger second , establish a series of laws and regulations to improve the urban traffic management level to strengthen the supervision of private cars third, develop and apply new technology and new energy to adjust the energy structure of urban transportation to reduce urban transportation energy consumption at last.

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