A Study of Factors Affecting Public Transportation Patronage

• Main Authors: Yu-HsuanHsiao, 蕭宇軒
• Other Authors: Oliver F. Shyr
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/11922156410483795305

碩士 === 國立成功大學 === 都市計劃學系碩博士班 === 98 === Due to the call of global warming effects, city planners aim at actions for reducing carbon emission. One of the approaches is to promote the usage of public transportation system toward the transit-oriented-development. Since 1996, the operation of Muzha line declared that Taiwan became a country which provided the Mass Rapid Transit (MRT) service. Up to now, Taipei developed 8 MRT lines. Since 2008 the developed and operation of Kaohsiung MRT system, Taiwan has two MRT systems. However, citizen in Kaohsiung City still rely on the personal vehicles as their daily transportation tools. This situation caused Kaohsiung MRT deficit seriously in this recent years. Hence, the studies of the factors which affect the use of public station become an important issue. To study the issue mentioned above, this research based on the secondary data, which included the basic information of public transport system (MRT, light railway transit) around the world, structure of cities, social and economic factors and others transportation system. The data will analysis by statistical analysis which this research attempted to explore the factors of ridership of different cities. The result shown that, the best solution is linear regression follow by log linear regression. The positive impact factors are number of station, population of cities and cost of living index, while the negative impact is the ticket price, population density and the gasoline price. Based on different analysis group, the amount of number of station is the main factor of each group. Beside the factor of number of station, each continent has different impact factors. Such as American and Oceania cities affected by the population; where Asia and Africa cities affected by the population, parking price, and gasoline prices; European cities affected by gasoline prices. These results shown the impact factors are various countries. In addition, we used discriminate analysis to found successful cities, such as Toronto, Chicago, Washington, Montreal, Prague and Osaka, in regard of the public transport usage.