Objective: To assess the impact of the following factors on rider fatality: rider's age, gender, licensing status, accident liability, use of helmet, alcohol consumption, vehicle class, road conditions, presence of passengers, and passenger injuries. Methods: Data on motorcycle accidents in Taiwan between 2006 and 2008 were analyzed. A logistic regression model was used to establish a fatality risk model for motorcyclists and investigate high-risk factors for motorcyclist fatality. Results: Higher fatality rates among motorcycle riders correlate with the following factors: male, older, unlicensed, not wearing a helmet, riding after drinking, and driving heavy (i.e., above 550 cc) motorcycles. In addition, motorcyclists involved in nighttime, nonurban single-vehicle accidents have a higher risk of death, and lone riders have a higher risk of death in accidents than do riders carrying passengers. The seriousness of passenger injury also correlates positively with the rider's risk of death. Conclusions: Nearly 60 percent of all driving fatalities in Taiwan involve motorcycles. Consideration of factors behind the high frequency and risk of motorcycle deaths, specifically rider age above 60 years, not wearing a motorcycle helmet, riding after drinking, and driving without a valid license, could help in the development of effective traffic safety management measures.

An important source of anthropogenic greenhouse gas (GHG) emissions is the air transport sector, which accounts for approximately 2% of global GHG emissions. Therefore, reducing GHG emissions from aircrafts has become a major challenge for transportation authorities worldwide. In recent years, much research has focused on tax ideas related to the CO₂ emissions produced by air transport, such as the voluntary carbon offset (VCO). This study investigates the willingness of economy class air passengers to pay to compensate for the CO₂ emissions produced during their journeys from Taiwan to Hong Kong. Together with the Spike model, a framework known as the contingent valuation (CV) method offers a way to investigate how much the air passenger would be willing to pay to offset a journey’s airplane-generated CO₂ emissions. The Spike model was applied to address the problem of zero willingness to pay (WTP). The results obtained in this study are consistent with the results found in previous studies and therefore can provide valuable insights into pricing strategies for airlines.

This study integrates the three-factor theory and Importance–Performance Analysis (IPA) into a three-dimensional importance–performance analysis (3-D IPA) approach to identify the critical service quality attributes for hotel online booking. A seven-point Likert-type scale of service quality measurement was designed in the survey and the participants (foreign independent tourists) were randomly selected at Taoyuan International Airport, Taiwan. A total of 453 participants were identified. The classification of the factors was based on the explicit importance, while the implicit importance was measured with the relationship of satisfaction by using the ordered probit model. The results, compared to the traditional method of partial correlation analysis, were different in the dimensions of Fulfillment and Responsiveness, Safety and Security, Website Functionality, and Customer Relationships. In conclusion, this study broadens the perspective of research method and improves the performance evaluation of e-service quality attributes. The empirical results provide recommendations and policy implications for resource allocation of hotel management.