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篇名
Estimation of Truck Trips on Large-Scale Irrigation Project: A Combinatory Input-Output Commodity-Based Approach
並列篇名
Estimation of Truck Trips on Large-Scale Irrigation Project: A Combinatory Input-Output Commodity-Based Approach
作者 Ackchai Sirikijpanichkul (Ackchai Sirikijpanichkul)Sarintorn Winyoopadit (Sarintorn Winyoopadit)Chavalek Vanichavetin (Chavalek Vanichavetin)
英文摘要
For the agricultural-based countries, the requirement on transportation infrastructure should not only be limited to accommodate general traffic but also the transportation of crop and agricultural products during the harvest seasons. Most of the past researches focus on the development of truck trip estimation techniques for urban, statewide, or nationwide freight movement but neglect the importance of rural freight movement which contributes to pavement deterioration on rural roads especially during harvest seasons. Recently, the Thai Government initiated a plan to construct a network of reservoirs within the northeastern region, aiming at improving existing irrigation system particularly in the areas where a more effective irrigation system is needed. It is expected to bring in new opportunities on expanding the cultivation areas, increasing the economy of scale and enlarging the extent market of area. As a consequence, its effects on truck trip generation needed to be investigated to assure the service quality of related transportation infrastructure. This paper proposes a combinatory input-output commodity-based approach to estimate truck trips on rural highway infrastructure network. The large-scale irrigation project for the northeastern of Thailand is demonstrated as a case study.
起訖頁 36-47
關鍵詞 Thermal comfortradiant heatingconvective heatingSETCFD
刊名 Journal of Engineering, Project, and Production Management  
期數 201501 (5:1期)
出版單位 Association of Engineering, Project, and Production Management
該期刊-上一篇 Comparison of Thermal Comfort by Radiant Heating and Convective Heating
該期刊-下一篇 Multi-Objectives Finite Capacity Scheduling of Make-andPack Production with Options to Adjust Processing Time
 

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