The Future Demand of Transportation in China: 2030 Scenario based on a Hybrid Model

Ma, Linwei; Liang, Jingjing; Gao, Dan; Sun, Jiaxing; Li, Zheng

doi:10.1016/j.sbspro.2012.09.761

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…According to the plan for public transit of the city, it is anticipated that the island town will not be integrated into the urban public transit network completely until 2030. Ma et al (2012) contend that the total transportation demand will be very likely to continue to experience rapid growth in China before 2030. Drawing on this projection, it can be identified that the conflict between local older people's increasing demands of housing services and the backward public transit of the town is becoming more and more prominent.…”

Section: Access To Services : Public Transportmentioning

confidence: 99%

Can We Make the ―New Urban Agenda‖ More Age- Friendly for Island-Based Older People’s Housing? A Case Study of Xinzhou Town, China

Yang

2016

JOA&E

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The paper uses the "New Urban Agenda" and the "Age-friendly Cities" as research framework, to investigate housing for island-based older people living in one developing area of China. The results identify that local older residents are facing: difficulties in getting modifications and maintenance because of the younger generations' migration and local industrial development, poor affordability of care home living, as well as poor transport links that prevent access to housing services. These issues are caused by the "urban-rural linkages" as well as "urbanization", which are important points in the "New Urban Agenda".Based on the findings, the author argues that future actions need to be done to make the implementation of the "New Urban Agenda" more age-friendly.

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Section: Access To Services : Public Transportmentioning

confidence: 99%

Can We Make the ―New Urban Agenda‖ More Age- Friendly for Island-Based Older People’s Housing? A Case Study of Xinzhou Town, China

Yang

2016

JOA&E

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“…This was about 119 million tons of oil in 2010. Due to the continual development of the nation, it is expected to rise to 208 million tons by 2020, and to 379 million tons by 2030 (Ma et al 2012). Similarly, the light-duty vehicle fleet is expected to rise from just over 11 million in 2000 to over 190 million in 2030.…”

Section: China Backgroundmentioning

confidence: 99%

A System Dynamics Model For The Reduction Of Health Expenditures Through Transition To Hydrogen Vehicles (Srth): Case Studies In the Usa, China, And India

Veziroğlu

Macário

2014

International Journal of Green Energy

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In this study, system dynamics (SD) modeling is used as a tool to evaluate the transition to hydrogen within the transportation sector and its effect in reducing of health expenditures. SD modeling is a useful tool for researchers when the system they are studying is large, complex, containing interdependent variables. In order to understand why SD modeling is necessary to study the transition toward hydrogen energy for transport, we must first discuss the significance of ambivalence and the meaning of transition. Then, we can apply the transition framework to understand the problems in the transportation sector. This will justify the use of SD to explore the central problem of transportation sector transition to hydrogen energy and its benefits. This paper provides a short background on SD, explains its application to hydrogen powered transportation, and health benefits for USA, China and India.

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“…Given the complex decision-making process involving socio-economic systems in land use studies, identifying factors that influence the transportation system is essential for the accurate forecasting of transportation land demand. The relationship between transportation infrastructure development and socio-economic factors has been widely discussed [11,12]. The positive interaction between transportation infrastructure construction and economic development is widely recognized [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Towards a Comprehensive Framework for Regional Transportation Land Demand Forecasting: Empirical Study from Yangtze River Economic Belt, China

Wang,

Zhang

2024

Land

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China is currently experiencing rapid expansion in its transportation land. To promote sustainable land use, accurately estimating transportation land demand is crucial. This study aims to develop a comprehensive framework for urban transportation land forecasting within the Yangtze River Economic Belt (YREB), providing support for optimizing regional land allocation. Employing methods such as meta-analysis, statistical analysis, and BP neural network analysis, this study forecasts the transportation land demand of 127 cities in the YREB. The study findings indicate that cities with high transportation land demand are mainly distributed in the middle and upper reaches of the Yangtze River. Moreover, the growth rate of transportation land in the upper reaches significantly outstrips that in the middle and lower reaches, suggesting a focus shift in transportation infrastructure construction toward the upper regions. Additionally, some cities within the YREB face a mismatch between the supply and demand of transportation land, necessitating proactive adjustments to their land supply plans to achieve a balance between supply and demand. The main contribution of this study is the development of a comprehensive and adaptable framework that guides the development of future strategies for optimal land allocation by forecasting transportation land demand at a regional level.

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The Future Demand of Transportation in China: 2030 Scenario based on a Hybrid Model

Cited by 12 publications

References 4 publications

Can We Make the ―New Urban Agenda‖ More Age- Friendly for Island-Based Older People’s Housing? A Case Study of Xinzhou Town, China

Can We Make the ―New Urban Agenda‖ More Age- Friendly for Island-Based Older People’s Housing? A Case Study of Xinzhou Town, China

A System Dynamics Model For The Reduction Of Health Expenditures Through Transition To Hydrogen Vehicles (Srth): Case Studies In the Usa, China, And India

Towards a Comprehensive Framework for Regional Transportation Land Demand Forecasting: Empirical Study from Yangtze River Economic Belt, China

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