分析了交通强国建设与”双碳”目标下中国交通运输发展的基本形势。以货物运输为对象,剖析了综合交通运输系统的结构。基于经济发展、产业结构调整、运输组织模式变革与新技术的影响,分析了2030年中国货物运输业的需求规模。结果表明,2030年中国货物运输需求规模约为20.5万亿t·km(不含远洋)。通过借鉴部分国家的发展经验,分析了碳达峰背景下中国货物运输业的减排任务。从运输规模控制、运输结构调整、运输组织模式变革以及新技术应用4个方面提出了促进中国货物运输业高质量、可持续发展的策略,包括调整产运结构、发挥铁路运输优势、优化运输方案、促进多式联运等。
As an important infrastructure to support the operation and the development of the national economy, the transport industry is facing a series of challenges for the high-quality development. This paper first analyzes the current situations of the transport systems under the construction of a transport power of China and the double carbon strategy, and the structures of the freight transport turnover and emissions from the viewpoint of the integrated transportation. Based on the historical development of the economy, the industrial restructuring, the transformation of the transport organization modes and the new technical progress, the paper then predicts the freight transport demand in 2030. The results show the freight transport turnover of China mainland in 2030 is about 20500 billion t-km, excluding the ocean transport. The task of the carbon reduction of the freight transport is advanced, with the experience of developed countries. Finally, five suggestions are put forward, concerning the control of the freight transport demand scale, the reconstruction of the freight transport structure, the transport scheme optimization, the energy systems adjustment and the application of new technologies, to promote the high-quality and sustainable development of the freight transport in China.
[1] 交通运输部. 2021年交通运输行业发展统计公报[R/ OL]. (2022-05-25)[2022-06-10]. https://xxgk.mot.gov.cn/2020/jigou/zhghs/202205/t20220524_3656659.html.
[2] 刘建强, 何景华. 交通运输业与国民经济发展的实证研究[J]. 交通运输系统工程与信息, 2002, 2(1): 82-86.
[3] 王庆一. 2020中国能源数据[R]. 北京: 绿色创新发展中心, 2021.
[4] 中国汽车技术研究中心. 2020中国汽车低碳行动计划研究报告[R/OL]. [2020-12-07]. http://auto-eaca.com/a/chengguofabunarong/ziliaoxiazai/zhongguoqichedit/2020/0731/367.html.
[5] Ottem?ller O, Friedrich H. Opportunities of sectoral freight transport demand modelling[J]. Case Studies on Transport Policy, 2016, 4(1): 9-12.
[6] Yan S Y, Kelly de B, Dennehy E, et al. Climate policies for freight transport: Energy and emission projections through 2050[J]. Transport Policy, 2021, 107: 11-23.
[7] Wang H, Han J Y, Su M, et al. The relationship between freight transport and economic development: A case study of China[J]. Research in Transportation Economics, 2021, 85: 100885.
[8] Sandoval-García E, Matsumoto Y, Sánchez-Partida D. Data and energy efficiency indicators of freight transport sector in Mexico[J]. Case Studies on Transport Policy, 2021, 9(3): 1336-1343.
[9] Simpson Z P, Havenga J H, Witth?ft I E, et al. Chapter 4-A methodology for disaggregated freight demand modeling in emerging economies: World Conference on Transport Research Society[M]//Freight Transport Modeling in Emerging Countries. Amsterdam: Elsevier, 2021: 55-84.
[10] Gao Y E, Zhang Y P, Lia H J, et al. Study on the relationship between comprehensive transportation freight index and GDP in China[J]. Procedia Engineering, 2016, 137: 571-580.
[11] Alises A, Vassallo J M. The impact of the structure of the economy on the evolution of road freight transport: A macro analysis from an Input-Output approach[J]. Transportation Research Procedia, 2016, 14: 2870-2879.
[12] 王庆云, 毛保华. 科技进步对交通运输系统发展的影响[J]. 交通运输系统工程与信息, 2020, 20(6): 1-8.
[13] Llorca M, Jamasb T. Energy efficiency and rebound effect in European road freight transport[J]. Transportation Research Part A: Policy and Practice, 2017, 101: 98- 110.
[14] World Bank. World development indicators[EB/OL]. (2022-06-30) [2022-07-12]. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.
[15] 中华人民共和国统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 2022: 325-326.
[16] Bureau of Transportation Statistics. National transportation statistics[EB/OL]. (2021-11-30) [2022-07-12]. https://www.bts.gov/topics/national-transportation-statistics.
[17] Department for Transport. Statistical data set: Freight (TSGB04) [EB/OL]. (2021-12-16) [2022-07-12]. https://www.gov.uk/government/statistical-data-sets/tsgb04-freight.
[18] 日本 国土 交通 省. 運輸 白書 [EB/OL]. (2000-11-18) [2022-07-13]. https://www.mlit.go.jp/hakusyo/transport/index3_.htm.
[19] 日本総務省統計局. 日本統計年鑑[EB/OL]. (2022-02- 16) [2022-07-13]. https://www. stat. go. jp/data/nenkan/index2.html.
[20] Eurostat. Databrowser: Transportation category[EB/OL]. (2022-06-28) [2022-07-13]. https://ec.europa.eu/eurostat/databrowser/explore/all/transp?lang=en&display=list&sort=category.
[21] Федеральная служба государственной статистики. Транспорт[EB/OL]. (2022-06-29)[2022-07-13]. https://rosstat.gov.ru/statistics/transport.
[22] Ministry of Road Transport and Highways. Road transport year book[EB/OL]. (2021-06-28) [2022-07-13]. https://morth.nic.in/road-transport-year-books.
[23] World Bank. Air transport, freight (million ton-km)-India[EB/OL]. (2022-06-30) [2022-07-13]. https://data.worldbank.org.cn/indicator/IS.AIR.GOOD.MT.K1.
[24] World Bank. Railways, goods transported (million tonkm) -India[EB/OL]. (2022-06-30) [2022-07-13]. https://data.worldbank.org.cn/indicator/IS.RRS.GOOD.MT.K6?end=2020&locations=IN&start=2000&view=chart.
[25] The United States Environmental Protection Agency. Inventory of U. S. greenhouse gas emission and sinks 1990-2019[R]. Washington D.C.: EPA, 2021.
[26] Greenhouse Gas Inventory Office of Japan(GIO). Japan's GHG emissions data(FY1990-2020)[EB/OL]. (2022-04- 19) [2022-07-12]. https://www.nies.go.jp/gio/en/archive/ghgdata/jqjm10000018e3wx-att/L5-7gas_2022_gioweb_ver1.1.xlsx.
[27] European Commission. Transport in figures 2021[EB/OL]. (2021-09-21) [2022-07-12]. https://data.europa.eu/doi/10.2832/27610.
[28] 毛保华, 卢霞, 黄俊生, 等. 碳中和目标下氢能源在中国运输业中的发展路径[J]. 交通运输系统工程与信息, 2021, 21(6): 234-243.