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Modeling the Tourism Travel Mode and Route Choice Behaviour based on Nested Logit Model

机译:基于嵌套Logit模型的旅游出行方式和路线选择行为建模

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With the development of tourism, the flow of tourists aggravates the traffic state of the road connecting the scenic spot with commuting traffic and through traffic. In order to analyse the formation of tourism traffic, this paper proposed a Nested Logit model (NL model) to capture the travel mode and route choice behaviour of tourism, and a stated preference (SP) survey based on the Badaling Great Wall is conducted to obtain the data needed for the model. The estimation results show tourists are more likely to choose car (including self-driving, taxi and rental car). Compared with family tourism, the proportion of public transport is more in the friends tourism. And the tourists in group are more likely to choose tour bus than the other tourists.
机译:随着旅游业的发展,游客的流动加剧了连接景区与通勤交通和通过交通的道路的交通状况。为了分析旅游客流的形成,提出了一种嵌套的Logit模型(NL模型)来捕获旅游者的出行方式和路线选择行为,并基于八达岭长城进行了明示偏好(SP)调查,获取模型所需的数据。估算结果表明,游客更有可能选择汽车(包括自动驾驶,出租车和出租汽车)。与家庭旅游相比,公共交通在朋友旅游中所占的比例更高。团体中的游客比其他游客更有可能选择游览巴士。

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