利用二元 Logit 模型选择货运方式

D. M. P. Wedagama, D. Dissanayake, N. Z. Ubaidillah
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引用次数: 0

摘要

本研究首次以巴厘岛 SARBAGITA 地区为案例,对货运模式选择进行了描述。研究建立了一个二元对数模型,分析了影响皮卡/箱式车和中型/大型卡车之间选择的重要因素。研究发现,年龄在 31 至 40 岁之间、驾驶员学历为小学、运输过采矿成果、运输过林产品和行驶距离的驾驶员使用皮卡/箱式车的几率分别是中型和大型卡车的 3.82 倍、6.54 倍、8.78 倍、18.08 倍和 1.05 倍。同时,私人拥有的货运车辆、驾驶员收入等于地区最低工资标准、运输货物平均重量小于 5 吨时,使用皮卡/箱式车的几率分别为 34%、28%,比大中型货车低 1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Freight Transport Mode Choice using A Binary Logit Model
This study provides the first description of freight mode choice using the SARBAGITA area in Bali as a case study. A binary logit model was built to analyze the important factors influencing the choice between pick-up/box cars and medium/large trucks. This study found that the odds that drivers aged between 31 and 40 years old, elementary school as driver educational qualification, transported mining results, transported forest products and travel distance will use pick-up/box cars were 3.82, 6.54, 8.78, 18.08, and 1.05 times more likely than these of medium and large trucks. Meanwhile, the odds that freight transport vehicles owned by private,  driver income was equal to regional minimum wage, and an average weight of transported goods were less than 5 tons will use pick-up/box cars were 34%, 28%, and 1% less likely than these of medium and large trucks.
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