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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:解释随机变量(混合logit)模型的原因为何达卡市近年来有更多家庭决定购买汽车

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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:这项研究代表了探索汽车背后因素的随机参数二进制logit模型 以前从未有过汽车的达卡市家庭的购买决定。结果显示 与成本,安全性和运输(公共汽车)可用性相关的不同变量对指定汽车的影响 购买决定。该模型的主要结论是,缺乏适当的公交服务,可靠性 在很大程度上影响着购车决策。弹性值说明了 改革和改善达卡的公交服务,可以减少购买的可能性 新车决定。此外,结果表明有几个人口统计资料(性别,房屋所有权), 安全感会影响规定的购车决策。

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