Exploring The Elder's Risk Perceptions and Their Influential Factors for Traveling Safety In Taiwan

• Main Authors: Chou, Chang-Chih, 周長志
• Other Authors: Chang, Hsin-Li
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/97516524053825274782

碩士 === 國立交通大學 === 運輸科技與管理學系 === 93 === ABSTRACT According to the definition by United Nations, a society having more than 7% of its total population over 65 in age is an aged society.　The proportion of the aged to total population of Taiwan has been over 7% since 1993. In 2004, the percentage of people over 65 is 9.48%. Taiwan is now an aging society and will face the common problems most the aged countries have. The transportation studies for the elder have been focused on the demands of transportation and travel activity. Very little research has been done to explore the travel behavior through psychological aspects, such as motivation and risk perception for traveling. Motivational model indicates that the risk perception is one of the key factors that affect the decision of behavior. Summala found that the lower level the risk perception is, the more the risk-taking behavior people will have. Lund found that enhancing people’s risk perception can be an effective strategy to reduce traffic accidents. This study is conducted to develop a framework to measure the risk perception for traveling and its influential factors for the elder in Taiwan. A questionnaire was then designed to collect the required data for model calibration. The survey was conducted by interviewing the elders in Northern Taiwan during March of 2005, and 290 effective samples were collected for empirical study in this research. Several statistical analysis tools were employed in this study, including descriptive statistics, multivariate statistical analysis, structural equation models, logit models and logistic regression models. The study results showed the risk perceptions affect not only the elder’s behavior but also their mode choice. Different genders, ages, driving experience, sensory functioning, cognitive functioning, message, anxiety, conscientiousness were also found to have different levels of risk perception for the elder. The study results of the Structural Equation Model (SEM) showed the message, sensory functioning, cognitive functioning, anxiety, and conscientiousness are the significant factors the affect the elder’s risk perceptions to their self-mode choice. But only the message, cognitive functioning, anxiety, and conscientiousness affect the elder’s risk perceptions to their non-self-mode choice.