Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System

碩士 === 國立中山大學 === 經濟學研究所 === 102 === This study develops a multiple regression model and then applies the method of stepwise regression to study the factors affecting the carrying capacity of Kaohsiung rapid transit system. Based on the period from April,2008 to November,2013, the empirical results...

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Bibliographic Details
Main Authors: Yi-Ching Ching, 陳怡靜
Other Authors: Wu, Jyh-Lin
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/bfd4n2
Description
Summary:碩士 === 國立中山大學 === 經濟學研究所 === 102 === This study develops a multiple regression model and then applies the method of stepwise regression to study the factors affecting the carrying capacity of Kaohsiung rapid transit system. Based on the period from April,2008 to November,2013, the empirical results indicate that population, tourists, hospital and business setup items of Kaohsiung city have significant positive impacts on the carrying capacity of Kaohsiung rapid transit system. The developed regression model has good explanatory power.