面向城市群交通规划的道路碳排测算与分析方法

摘要
图/表
参考文献
相关文章 (2)

全文: PDF (293 KB) HTML ()
输出: BibTeX | EndNote (RIS)

摘要 Urban agglomeration is becoming an important form of urbanization in China. The national Urbanization Plan (2014-2020) proposes that urban agglomeration is an urgent priority, and short- and long-term plans should be developed. A suitable method of estimating and evaluating the carbon emissions of the road network in urban agglomeration-oriented transportation planning is needed. For measuring and evaluating the carbon emission of road network, suitable methods that use the basic data of different sources are lacking. With data on fuel sales, vehicle ownership, transportation planning modeling, and urban population, methods of calculating the carbon emission based on vehicle kilometers of travel (VKT) were designed in this work. Three methods based on fuel sales data, vehicle ownership, and transportation planning modeling were designed for current VKT estimation. As for the future, two VKT prediction methods were designed that are separately based on transportation planning modeling and the urban population. A method of calculating carbon emissions was designed based on the estimation and prediction of VKT. Then, the data sources, advantages, limitations, and the reflected subject of the methods were compared. With a comprehensive application of these methods, we established a method of calculating the carbon emissions of urban agglomeration-oriented transportation planning; this method is sensitive to traffic parameters. Then, a case study was used as an example of the road network transportation planning of Chengdu-Chongqing city agglomeration to demonstrate the application of the method. The results of the case analysis can prove that under the current existing data, the carbon emission of transportation in urban agglomeration could be calculated and quantitatively analyzed with the comprehensive application of these methods, thereby possibly providing support for transportation decision-making.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	陈娇杨
	宋国华
	于雷

关键词 ： environmental engineering, carbon emission estimation, VKT estimation and prediction, road network of urban agglomeration, transportation planning

Abstract：Urban agglomeration is becoming an important form of urbanization in China. The national Urbanization Plan (2014-2020) proposes that urban agglomeration is an urgent priority, and short- and long-term plans should be developed. A suitable method of estimating and evaluating the carbon emissions of the road network in urban agglomeration-oriented transportation planning is needed. For measuring and evaluating the carbon emission of road network, suitable methods that use the basic data of different sources are lacking. With data on fuel sales, vehicle ownership, transportation planning modeling, and urban population, methods of calculating the carbon emission based on vehicle kilometers of travel (VKT) were designed in this work. Three methods based on fuel sales data, vehicle ownership, and transportation planning modeling were designed for current VKT estimation. As for the future, two VKT prediction methods were designed that are separately based on transportation planning modeling and the urban population. A method of calculating carbon emissions was designed based on the estimation and prediction of VKT. Then, the data sources, advantages, limitations, and the reflected subject of the methods were compared. With a comprehensive application of these methods, we established a method of calculating the carbon emissions of urban agglomeration-oriented transportation planning; this method is sensitive to traffic parameters. Then, a case study was used as an example of the road network transportation planning of Chengdu-Chongqing city agglomeration to demonstrate the application of the method. The results of the case analysis can prove that under the current existing data, the carbon emission of transportation in urban agglomeration could be calculated and quantitatively analyzed with the comprehensive application of these methods, thereby possibly providing support for transportation decision-making.

Key words： environmental engineering carbon emission estimation VKT estimation and prediction road network of urban agglomeration transportation planning

收稿日期: 2018-03-28

基金资助:Supported by the Fundamental Research Funds for Beijing Jiaotong University (No. T17JB00320)

通讯作者: CHEN Jiao-yang E-mail: 16120785@bjtu.edu.cn

引用本文:

陈娇杨, 宋国华, 于雷. 面向城市群交通规划的道路碳排测算与分析方法[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 104-110.
CHEN Jiao-yang, SONG Guo-hua, YU Lei. Estimation and Analysis Method for Road Carbon Emissions in Urban Agglomeration Transportation Planning. Journal of Highway and Transportation Research and Development, 2019, 13(1): 104-110.

链接本文:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/ 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2019/V13/I1/104

[1] YAO Shi-mou. China's Urban Agglomeration[M]. Hefei:University of Science & Technology China Press, 2006.(in Chinese)
[2] WANG You, TANG Zi-wen, LIU Jian-hua. Traffic Efficiency Evaluation of Road Network of Changsha-Zhuzhou-Xiangtan Urban Agglomeration[J]. Journal of Highway and Transportation Research and Development, 2012, 29(3):131-136.(in Chinese)
[3] ZHANG Tao-xin, ZHOU Yue-yun, ZHAO Xian-chao. Analysis on the Status and Development Path of the China's Urban Low-carbon Transport[J]. Urban Studies, 2011, 18(1):68-73.(in Chinese)
[4] ZHANG Tao-xin, ZOU Yu, XIE Shi-xiong. Analysis on the Status and Countermeasures of Low-carbon Transport on the Chang-Zhu-Tan Urban Agglomeration[J]. Journal of Hunan University of Technology:Social Science Edition, 2013, 18(1):12-17.(in Chinese)
[5] Intergovernmental Panel on Climate Change. Reco-mmendation Value of Emission Factors[EB/OL].[2016-12-30]. http://wenku.baidu.com/view/7c13111810a6f524ccbf85fc.html, 2006.
[6] GILLESPIE J L. Comparative Analysis of Three Approaches for Developing Inventory of Carbon Dioxide Emissions[J]. Transportation Research Record, 2011, 2252:144-151.
[7] CHATTERJEE A, MILLER T L, PHILPOT J W, et al. Improving Transportation Data for Mobile-source Emissions Estimates[M]. Washington, D.C.:Transportation Research Board, 1997.
[8] ERLBAUM N S. Estimated County Level Vehicle Miles of Travel. Data Services Bureau Report[R]. Albany:New York State Department of Transportation, 1989.
[9] MARING G E. National Highway Travel Forecasts[J]. Transportation Engineering Journal, 1976, 102(4):759-777.
[10] GREENE D L. Long-run Vehicle Travel Prediction from Demographic Trends[J]. Transportation research Record, 1987, 1135:1-9.
[11] YU Lei, QIAO Feng-xiang, LIU Juan. VKT Estimation Model Based on Traffic Counts and Link Attributes[J]. Journal of Transportation Systems Engineering and Information Technology, 2005, 5(1):38-46.(in Chinese)
[12] Environmental Protection Agency. VKT Forecasting and Tracking Guidance, EPA Section 187[R]. Washington D.C.:Environmental Protection Agency, 1992.
[13] EVANS D. Oregon Department of Transportation Statewide Vehicle Miles of Travel (VKT) Study[R]. Oregon:Oregon Department of Transportation, 2000.
[14] Federal Highway Administration. Sample Methodologies for Regional Emissions Analysis in Small Urban and Rural Areas[EB/OL].[2016-12-30]. https://www.fhwa.dot.gov/environment/air_quality/conformity/research/sample_methodologies/, 2016.
[15] Comprehensive Transportation Research Institute of National Development and Reform Commission. Study on Chengdu-Chongqing City Cluster Integrated Transport Development Planning[R]. Beijing:The Global Environment Fund, 2016.(in Chinese)
[16] National Bureau of Statistics of PRC. China's Gasoline Consumption Ranking[EB/OL].[2016-12-30].http://wenku.baidu.com/link?url=er8iU4ENRLMFXTgKfJpo2eXWiq_q3fHYgzK2NO1E8aaQr73AN1oggyCNHKdr_teaCpJX4QhWJqZ87OYn1rH4mM3Npw5MSRwlrbsyE-BOHre, 2010.(in Chinese)
[17] National Bureau of Statistics of PRC. China's Diesel Consumption Ranking[EB/OL].[2016-12-30]. http://wenku.baidu.com/link?url=OeVhyR-0pFT_lopX26RWKgFhacUoBi_o4W3-Hhf-0c6Ujy2OFg6U1HdjwrcYeXJpY_jSFhNmdXFuskR-VNxI6a2mj1AzHW_yn-CLMrwv1sG, 2010.(in Chinese)
[18] China Petroleum Chemical Industry Federation. Special Plan for Medium and Long Term Development of Oil Refining Industry[EB/OL].[2016-12-30]. http://wenku.baidu.com/view/b7b03275f46527d3240ce058.html, 2005.(in Chinese)
[19] Ministry of Environmental Protection of PRC. Vehicle Emission Measurement[EB/OL].[2016-12-30]. http://www.docin.com/p-132695325.html, 2010.(in Chinese)
[20] LIN Xiu-li, TANG Da-gang, DING Yan. Study on the Distribution of Vehicle Mileage Traveled in China[J]. Research of Environmental Sciences, 2009, 22(3):377-380.(in Chinese)
[21] Sichuan Statistics Bureau. Sichuan Statistical Yearbook[M]. Beijing:China Statistics Press, 2014.(in Chinese)
[22] Chongqing Statistics Bureau. Chongqing Statistical Yearbook[M]. Beijing:China Statistics Press, 2014.(in Chinese)
[23] Transport Planning and Research Institute of Ministry of Transport. National Highway Traffic Volume Manual[R]. Beijing:Transport Planning and Research Institute of Ministry of Transport,2014.(in Chinese)
[24] State Council. Regional Planning of Chengdu-Chongqing Economic Zone (2011-2020)[EB/OL].[2016-12-30]. http://wenku.baidu.com/link?url=Es9zPnmD1nGV1XGF7ZFcREmqT53K2VWLQtz8VOi6-yyCfp_KL4EuPyUP_s61L-Y3Ba6KzX38e755ImvNE68ZiAOVJqn4MoD0Zn_60x80 y1_, 2011.(in Chinese)
[25] DONG Yong-quan. The Prediction of Population Increasing of China[J]. Journal of Tangshan Normal University, 2009, 31(2):46-48.(in Chinese)
[26] Intergovernmental Panel on Climate Change. Recomm-endation Value of Emission Factors[EB/OL].[2016-12-30]. http://wenku.baidu.com/view/7c13111810a6f524ccbf85fc.html, 2006.
[27] Ministry of Transport of PRC. Compilation of Special Survey Data of National Highway and Waterway Transport[M]. Beijing:China Economic Publishing House, 2008.(in Chinese)