The Effects of Household Attributes on MRT Using

• Main Authors: Wu, Kuo-Chi, 吳國濟
• Other Authors: Huang, Tai-Sheng
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/42319737923396325805

碩士 === 國立交通大學 === 管理學院運輸物流學程 === 99 === To develop the land around the MRT stations with transit-oriented development (TOD) and to provide reasonable-priced houses become one of the most important strategies in recent years. However, it is also important to provide these measures that suit market mechanisms and general residents’ hobby at the same time. It is a worth issue to discuss that people live near the MRT stations choose to use MRT first or not. This study selected thirteen MRT stations along three MRT lines at Danshuei district, Shihding District and Banciao District. Following survey area selection, sample households were selected and investigated. To further analyze the conditions and relationship between household attributes and MRT usage. The results of this study showed that household income was positively associated with the vehicle ownership. There is a positive correlation between the income and the vehicle ownership; households with higher income have greater purchasing power to buy mobiles. At the same time owning vehicles is also beneficial to connect travels and increase number of travels. However, the percentage of owning vehicles are higher, the lower the public transportation usage percentage. The majority average income per household per person is around $200000 to $350000 in these 3 areas, which is about 50% of the total population. The households with higher average income per person hold lower number of travel times. The result indicates that the wealthy households would not produce excess travels times unless the travel is necessary. The households with higher income use sedan and cargo (Vans) to travel more; on the other hand the households with lower income travel by foot more. The majority of people who take MRT are from middle or lower class households.Among the variables of the correlation of the MRT usage, number of people per households, age level, institutionalized/employment/unemployment structure, household income and the ownership of motorcycle all has significant connection of MRT usage. However the ownership of vehicles does not have direct connection with MRT usage.