Client's decision-making behavior and redistribution of freight flow in affiliated market
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摘要: 根据古典决策理论关于货主是理性人的假设, 建立了货物的广义流通成本模型、广义采购成本模型、不同运输方式的关联度系数模型及广义采购成本对运价和运输速度的敏感度模型, 分析了关联货运市场中客户决策行为与货流再分配的特点及其影响因素。发现不同运输方式运送同一货物会产生不同的广义流通成本, 货主根据广义流通成本选择运输方式, 关联度系数接近1时, 关联市场竞争越激烈, 广义采购总成本对运输价格和运输时间的弹性系数分别等于运费和货物在途成本占广义采购总成本的比例, 货物时间价值相对稳定, 因此, 决定货主的运输方式选择和货流分配的力量来自货物本身和运输技术。Abstract: According to the hypothesis that client is rational decision-maker in classic decision theory, the generalized circulating cost model and generalized purchasing cost model of freight, the affiliated degree model among different transportation modes and the sensitive model of generalized purchasing cost relative to transportation price and transportation time were build, and the properties and influence factors of client's decision-making behavior and the redistribution of freight flow were analyzed in affiliated freight market. It is pointed that different modes might produce different generalized circulating transport costs aimed at the same amount freight, client chooses transport model according to generalized circulating cost; when the affiliated degree between two kinds of transportation modes is close to 1, competition increasingly becomes fierce in affiliated freight market; the elasticity coefficients of generalized purchasing cost relative to transportation price and transportation time respectively equal to the ratios of the transport fee and on-way time cost of freight to generalized purchasing cost, the time cost of goods relatively remains stable, so the decision-making behavior of client and the distribution of freight flow are decided by goods attribute and transport technique.
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[1] McCarthy P. Transport Economics—Theory and Practice[M]. Massachusetts: Blackwell Publishers, 2001. [2] 王选仓, 于江霞, 王秉纲, 等. 基于需求函数模型的公路网规模预测[J]. 长安大学学报: 自然科学版, 2006, 26 (3): 59-62. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200603014.htmWang Xuan-cang, Yu Jiang-xia, Wang Bing-gang, et al. Reasonable highway network scale prediction based on demand function[J]. Journal of Chang an University: Natural Science Edition, 2006, 26 (3): 59-62. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200603014.htm [3] 何杰, 李旭宏, 杭文, 等. 基于运力均衡与运量转移的公路货运运力结构预测[J]. 中国公路学报, 2006, 19 (5): 108-113. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200605020.htmHe Jie, Li Xu-hong, Hang Wen, et al. Highway truck conveyance configuration forecasting based on conveyance equilibriumand freight diversion[J]. China Journal of Highway and Transport, 2006, 19 (5): 108-113. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200605020.htm [4] 方晓平. 关联货物运输市场需求、供给与均衡的研究与应用[D]. 长沙: 中南大学, 2004. [5] 吴群琪, 孙启鹏. 综合运输规划理论的基点[J]. 交通运输工程学报, 2006, 6 (3): 122-126. doi: 10.3321/j.issn:1671-1637.2006.03.026Wu Qun-qi, Sun Qi-peng. Basic point of integrated transport planning theory[J]. Journal of Traffic and Transportation Engineering, 2006, 6 (3): 122-126. (in Chinese) doi: 10.3321/j.issn:1671-1637.2006.03.026 [6] Knafani A. Transportation Demand Analysis[M]. New York: McGraw-Hill, 1983. [7] 管楚度. 新视域经济学[M]. 北京: 人民交通出版社, 2002. [8] 萨谬尔森B, 诺德豪斯W. 经济学[M]. 高鸿业, 杜月升, 张晓光, 等译. 第12版. 北京: 中国发展出版社, 1992. [9] Cole S. Applied Transport Economics-Policy[M]. 2nd Edition. London: Kogan Page Limited, 1998. [10] Blauwens C, Vun de Voorde E. The valuation of time savings in commodity transport[J]. International Journal of Transport Economics, 1988, 15 (1): 77-87. [11] 方晓平. 运输企业中不同差别价格策略的研究[J]. 交通运输工程学报, 2003, 3 (4): 85-88. http://transport.chd.edu.cn/article/id/200304025Fang Xiao-ping. Different discriminate price strategy in transportation enterprise[J]. Journal of Traffic and Transportation Engineering, 2003, 3 (4): 85-88. (in Chinese) http://transport.chd.edu.cn/article/id/200304025 -
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