-
摘要: 为解决公路货物周转量结构性数据缺失的问题, 将公路货物周转量分为车辆货物周转量和路网货物周转量。依托车辆年检平台, 进行抽样调查获得车辆货物周转量, 根据车辆行驶里程比例将车辆货物周转量分配到不同路网。以高速公路收费系统和普通公路交通量观测站为平台, 获取交通量数据。结合24 h现场抽样调查数据, 推算区域路网货物周转量, 并按车籍比例进行分割。将车辆和路网货物周转量的细分结果对接分析, 得到总的货物周转量的结构和分布, 并以江苏省推广结果作为分析实例。分析结果表明: 从车辆货物周转量角度计算, 江苏货车的本地和外地比例分别为65.39%和34.61%;从路网货物周转量角度计算, 高速公路占43.00%, 普通收费公路占31.61%, 其他公路占25.39%;从车籍角度计算, 江苏货车占40.80%, 外省货车占59.20%, 外省货车在高速公路上的货物周转量是江苏货车的4倍。Abstract: In order to solve the problem of the structural data loss of highway freight turnover, highway freight turnover was divided into vehicle freight turnover and highway network freight turnover.Relying on vehicle annual inspection platform, sampling survey was carried out, and vehicle freight turnover was obtained.According to the proportion of vehicle travelling mileage, vehicle freight turnover was assigned to different highway networks.Based on expressway toll systems and general highway traffic observation stations, traffic data were obtained.Combined with field sampling investigation data in 24 h, regional highway network freight turnover was estimated, and highway network freight turnover was breakdown according to the proportion of vehicle registered place.Linking vehicle freight turnover to highway network freight turnover, the structure and distribution of total freight turnover were obtained, and the generalization result in Jiangsu Province was analyzed.Analysis result shows that from the point of vehicle freight turnover, the proportions of local and non-local trucks in Jiangsu Province are 65.39%, 34.61% respectively.From the point of highway network freight turnover, 43.00% of total freight turnover is completed by expressway network, 31.61% of total freight turnover is completed by general toll highway, and 25.39% of total freight turnover is completed by other highways.From the point of vehicle registered place, 40.80% of total freight turnover is completed by the vehicles registered in Jiangsu Province, and 59.20% of total freight turnover is completed by the vehicles registered in other provinces.From the point of expressway freight turnover, the freight turnover of the vehicles in other provinces is four times than that of the vehicles in Jiangsu Province.
-
表 1 车辆周转量调查内容
Table 1. Investigation content of vehicle turnover
表 2 路网周转量调查内容
Table 2. Investigation content of highway network turnover
表 3 货车轴型
Table 3. Axis types of trucks
-
[1] PARK J Y, GORDON P, MOORE J E, et al. A two-step approach to estimating state-to-state commodity trade flows[J]. The Annals of Regional Science, 2008, 43(4): 1033-1072. [2] Bureau of Transportation Statistics, US Department of Transportation. Transportation statistical annual report 2008[R]. Washington DC: Bureau of Transportation Statistics, US Department of Transportation, 2009. [3] JESSUP E, CASAVANT K L, LAWSON C T, et al. Trucktrip data collection methods[R]. Washington DC: Federal Highway Administration, 2004. [4] WOLF J, BONSALL P, OLI VEIRA M, et al. Review of the potential role of 'new technologies' in the national travelsurvey[R]. Leeds: University of Leeds, 2009. [5] GAGNONF, TR PANIERJ. Redesign of the trucking commodity origin and destination survey[R]. Ottawa: Statistics Canada, 2009. [6] Minister of Transport. Transportation in Canada[R]. Ottawa: Minister of Transport, 2009. [7] 陈荫三. 高速公路运输量研究[J]. 中国公路学报, 2005, 18(2): 94-98. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL20050200I.htmCHEN Yin-san. Study of freeway transportation volume[J]. China Journal of Highway and Transport, 2005, 18(2): 94-98. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL20050200I.htm [8] 陈荫三, 肖润谋, 马暕, 等. 2006年全国高速公路网运输分析[J]. 交通运输工程学报, 2008, 8(3): 91-96. doi: 10.3321/j.issn:1671-1637.2008.03.020CHEN Yin-san, XIAO Run-mou, MA Jian, et al. Transportation analysis of Chinese expressway network in 2006[J]. Journal of Traffic and Transportation Engineering, 2008, 8(3): 91-96. . (in Chinese) doi: 10.3321/j.issn:1671-1637.2008.03.020 [9] 陈荫三, 肖润谋, 秦华容. 2007年中国高速公路网运输分析[J]. 交通运输工程学报, 2009, 9(2): 83-88. doi: 10.3321/j.issn:1671-1637.2009.02.015CHEN Yin-san, XIAO Run-mou, QIN Hua-rong. Transportation analysis of Chinese expressway network in 2007[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 83-88. (in Chinese) doi: 10.3321/j.issn:1671-1637.2009.02.015 [10] 交通运输部综合规划司, 长安大学运输科学研究院. 2009中国高速公路运输量统计调查分析报告[M]. 北京: 人民交通出版社, 2010.Depart ment of Comprehensive Planning, Ministry of Transport, Research Institute of Transportation Science, Changan University. Survey and Statistics of Chinese Expressway Transportation Volume in 2009[M]. Beijing: China Communications Press, 2010. (in Chinese) [11] 肖润谋, 陈荫三, 李彬. 2009年中国高速公路网运输状态[J]. 交通运输工程学报, 2011, 11(3): 61-67. doi: 10.3969/j.issn.1671-1637.2011.03.011XIAO Run-mou, CHEN Yin-san, LI Bin. Transportation status of Chinese expressway network in 2009[J]. Journal of Traffic and Transportation Engineering, 2011, 11(3): 61-67. (in Chinese) doi: 10.3969/j.issn.1671-1637.2011.03.011 [12] 秦华容, 杨铭. 美国货运数据需求与供给分析[J]. 物流技术, 2009, 28(2): 145-147. https://www.cnki.com.cn/Article/CJFDTOTAL-WLJS200902047.htmQI N Hua-rong, YANG Ming. Analysis on demand and supply of freight transportation data in America[J]. Logistics Technology, 2009, 28(2): 145-147. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WLJS200902047.htm [13] 杨铭, 秦华容. 中美公路运输量统计比较[J]. 交通企业管理, 2009, 28(2): 69-70. https://www.cnki.com.cn/Article/CJFDTOTAL-JTQG200902039.htmYANG Ming, QIN Hua-rong. Statistical comparison of highway transportation volumes for America and China[J]. Transportation Enterprise Management, 2009, 28(2): 69-70. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JTQG200902039.htm [14] 姜旭. 日本货物总运输量与纯运输量的实证研究[J]. 中国流通经济, 2010(6): 23-26. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGLT201006007.htmJIANG Xu. The practical research on cargo total transportation volume and pure volume in Japan[J]. China Business and Market, 2010(6): 23-26. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGLT201006007.htm [15] 温胜强, 周鹏飞, 康海贵. 基于灰色理论与BP神经网络的交通运输量组合预测研究[J]. 大连理工大学学报, 2010, 50(4): 547-550. https://www.cnki.com.cn/Article/CJFDTOTAL-DLLG201004015.htmWEN Sheng-qiang, ZHOU Peng-fei, KANG Hai-gui. Study of combining traffic forecasting model based on gray theory and BP neural network[J]. Journal of Dalian University of Technology, 2010, 50(4): 547-550. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DLLG201004015.htm [16] 葛蔚, 魏海军. 基于时间序列分析的物流企业运输量演化模式与案例研究[J]. 大连海事大学学报, 2011, 37(2): 28-30. https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS201102009.htmGE Wei, WEI Hai-jun. Evolution model and case study of logistics enterprise traffic volume based on time sequence analysis[J]. Journal of Dalian Maritime University, 2011, 37(2): 28-30. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS201102009.htm [17] 张志俊. 公路运输量月度波动系数研究[J]. 统计与决策, 2009(21): 38-39. https://www.cnki.com.cn/Article/CJFDTOTAL-TJJC200921014.htmZHANG Zhi-jun. Study of monthly fluctuation coefficient on road traffic volume[J]. Statistics and Decision, 2009(21): 38-39. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJJC200921014.htm [18] 董静, 王屾. 公路分货类货物运输量调查与推算方法[J]. 统计与决策, 2011(6): 156-157. https://www.cnki.com.cn/Article/CJFDTOTAL-TJJC201106049.htmDONG Jing, WANG Shen. Investigation and statistics method of road freight traffic volume based on sub-class of goods[J]. Statistics and Decision, 2011(6): 156-157. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJJC201106049.htm [19] 杨铭, 秦华容. 公路货运平均运距分析与实证研究[J]. 物流技术, 2009, 28(6): 22-24, 49. https://www.cnki.com.cn/Article/CJFDTOTAL-WLJS200906008.htmYANG Ming, QI N Hua-rong. Field survey and analysis on average transport distance of road freight[J]. Logistics Technology, 2009, 28(6): 22-24, 49. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WLJS200906008.htm