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Tourist trip design with heterogeneous preferences, transport mode selection and environmental considerations

机译:旅游旅游设计与异质偏好,运输模式选择和环境考虑

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Tourism is one of the fastest-growing sectors in the world with a shift from mass tourism to personalized travel. Nevertheless, it generates significant environmental impacts. The current events associated with quarantine measures generated by COVID-19 represent, however, a risk for this sector. It is hence necessary to create strategies that allow efficient decision-making for all echelons and actors for a rapid recovery. Tourists are key actors, which makes necessary to facilitate tourism trip planning according to tourists' preferences as a complex process. In this paper, we propose a novel model of tourist trip planning for heterogeneous preferences in a tourist group and selection of transport modes, in the first instance, while a second step seeks at minimizing the level of CO2 emissions. A comparison of the two models is made considering the objectives associated with individual tourist benefits and group profit equity, in contrast to the inclusion of the cost of CO2 emissions. A numerical comparison is carried out with a total of 546 data sets. Results illustrate the conflict between those objectives by generating an inverse relationship between the individual and group profit equity of tourists, in addition to individual benefit and emission minimization.
机译:旅游是世界上增长最快的行业之一,随着大众旅游转向个性化旅行。然而,它产生了重大的环境影响。然而,与Covid-19生成的检疫措施相关的当前事件,该行业的风险是可能的。因此,需要创造允许为所有梯队和演员进行快速恢复的策略来实现策略。游客是关键演员,这使得根据游客的偏好作为复杂的过程,使旅游旅游计划是必要的。在本文中,我们在第一种情况下提出了一种新颖的旅游旅行规划,在旅游群中的异构偏好以及运输模式的选择,而第二步旨在最小化二氧化碳排放水平。与个人旅游福利和群体利润公平相关的目标,对两种模型进行了比较,与包含二氧化碳排放的成本相比。执行数值比较,总共进行了546个数据集。结果除了个人福利和排放最小化之外,还通过在游客的个人和群体利润股权之间产生反向关系来说明这些目标之间的冲突。

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