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Investigating commute satisfaction differences of private car users and public transport users in a developing country context

机译：在发展中国家背景下调查私人汽车用户和公共交通用户的通勤满足差异

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摘要

The objective of this paper is to investigate commute satisfaction differences across car users and public transport (PT) users in a developing country context. Using survey data of the students and staff of the American University of Beirut, we estimate two ordinal logit models in order to predict three satisfaction measures: car users' satisfaction with their current commute using the car, car users' Remembered satisfaction using PT, and car users' actual satisfaction with commuting by PT if they were to regularly commute by PT, with the latter model estimated on a sample of regular PT users. Using the three predicted measures, we compare the satisfaction of car users with car to their satisfaction with an infrequent public transport commute during the past year as well as to their predicted satisfaction with regular PT use. We also compare the latter two measures: satisfaction with (infrequent) PT commute of car users to predicted satisfaction with regular PT use. Results reveal that car users are significantly more satisfied with using the car than using PT (whether infrequent or regular). We also find that the Remembered satisfaction of car users with PT is significantly less than the actual PT satisfaction of car users if they were to become regular PT users. In the last part of the paper, we provide a number of potential explanations for these differences and discuss the policy implications.
机译：本文的目的是在发展中国家背景下调查汽车用户和公共交通工具（PT）用户的通勤满足差异。利用贝鲁特大学学生和员工的调查数据，我们估计了两个序数Logit模型，以预测三种满意度措施：汽车用户对他们目前的通勤使用汽车的满意度，汽车用户的满意使用PT和汽车用户对PT通勤的实际满意，如果他们经常通过PT通勤，后者模型估计了普通PT用户样本。使用这三项预测措施，我们将汽车用户与汽车的满意度与过去一年中的不经常的公共交通通勤，以及与常规PT使用的预期满意度进行了满意。我们还比较后两项措施：与（罕见）PT通勤的汽车用户满意，以预测常规PT使用的满意度。结果表明，汽车用户比使用PT（无论是常规还是常规）明显更满意。我们还发现，如果他们成为普通PT用户，那么PT的记忆满意的PT与PT的汽车用户的满意度明显低于汽车用户的实际PT满意度。在本文的最后一部分中，我们为这些差异提供了许多潜在的解释，并讨论了政策影响。

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