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Analysis of high-speed rail and airline transport cooperation in presence of non-purchase option 被引量:1
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作者 Kimitoshi Sato Yihsu Chen 《Journal of Modern Transportation》 2018年第4期231-254,共24页
We study cooperation between the airline and high-speed rail(HSR) sectors by formulating their joint profit as a maximization problem using a multinomial logit choice model in a three-node setting. We allow the nonpur... We study cooperation between the airline and high-speed rail(HSR) sectors by formulating their joint profit as a maximization problem using a multinomial logit choice model in a three-node setting. We allow the nonpurchase option as an outside option available to consumers. The demand for each choice is not only a function of the price but also the service quality, such as the total trip time, frequency of service, and ease of connecting from the hub to a nearby HSR station. As a result, the following findings are presented. First, regardless of the service quality of either sector and the non-purchase option,cooperation decreases the total volume of the domestic market of a country. Second, when the attractiveness of the outside option is high, the HSR and air sectors can prevent a large reduction in the total volume by cooperation in the connecting market. However, this is not the case in the domestic market. Third, if the non-purchase quality in the domestic market is high, then cooperation increases the social welfare of the whole market. If the non-purchase quality is low, then cooperation increases the welfare of the whole market only in cases where the number of potential customers in the connecting market is relatively large. We also show the effect of improving air–rail service quality on each market share and on the total profit. 展开更多
关键词 INTEGRATION COMPETITION AIRLINE High-speed rail multinomial logit model
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Key factors contributing to crash severity at highway-rail grade crossings
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作者 Wei Fan Linfeng Gong +2 位作者 Edward Matt Washing Miao Yu Elias Haile 《Journal of Modern Transportation》 2016年第3期224-235,共12页
The purpose of this paper is to develop and com- pare the preferred multinomial logit (MNL) and ordered logit (ORL) model in identifying factors that are important in making an injury severity difference and explo... The purpose of this paper is to develop and com- pare the preferred multinomial logit (MNL) and ordered logit (ORL) model in identifying factors that are important in making an injury severity difference and exploring the impact of such explanatory variables on three different severity levels of vehicle-related crashes at highway-rail grade crossings (HRGCs) in the United States. Vehicle-rail crash data on USDOT highway-rail crossing inventory and public crossing sites from 2005 to 2012 are used in this study. Preferred MNL and ORL models are developed and marginal effects are also calculated and compared. A majority of the variables have shown similar effects on the probability of the three different severity levels in both models. In addition, based on the Akaike information criterion, it is found that the MNL model is better than the ORL model in predicting the vehicle crash severity levels on HRGCs in this study. Therefore, the researchers recommend the use of MNL model in predicting severity levels of vehicle-rail crashes on HRGCs. 展开更多
关键词 Vehicle crashes SEVERITY Highway-rail grade crossings multinomial logit model Ordered logit model
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