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A random-parameter (mixed logit) model to explain why more households in Dhaka city are deciding to purchase cars in recent years

机译:一个随机参数(混合Logit)模型,用于解释为什么达卡市更多家庭决定近年来购买汽车

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摘要

This research represents a random parameter binary logit model exploring factors behind the car purchase decision of the household in Dhaka city who never had a car before. Results show the effects of different variables related to cost, safety, and transit (bus) availability on the stated car purchase decision. Major conclusion from the model is that, lack of proper bus service, reliability highly affects the car purchase decision. The elasticity values illustrate the importance of reforming and improving bus service in Dhaka, which can reduce the probability of purchasing new car decision. Further, results indicate several demographics (gender, homeownership), perception of safety have effects on the stated car purchase decisions.
机译:该研究代表了在达卡市汽车购买决定后面的随机参数二元记录模型探索因素,以前从未有过车。结果表明,不同变量与成本,安全和过境(公共汽车)可用性相关的不同变量在规定的汽车购买决策中的效果。从模型的主要结论是,缺乏适当的巴士服务,可靠性高度影响汽车购买决定。弹性值说明了在达卡改革和改善巴士服务的重要性,这可以降低购买新车决策的可能性。此外,结果表明了几个人口统计数据(性别,家国企业),对安全的感知对所述汽车购买决策产生影响。

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