Open AccessEstimating the Impact of the MRT Elevated Railway System on Carbon Reduction in Taichung, Taiwan
Author(s) -
Kuo-Wei Hsu,
Jen-Chih Chao,
Hsiao-Sung Chan,
PeiChen Wu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/291/1/012008
Subject(s) - metropolitan area , analytic hierarchy process , greenhouse gas , transport engineering , redevelopment , ranking (information retrieval) , environmental science , business , environmental planning , geography , civil engineering , environmental protection , environmental economics , regional science , engineering , operations research , computer science , economics , ecology , archaeology , machine learning , biology
Amid rapid global economic development and the threat of global warming, green transportation and related issues have risen to prominence in various countries. In Taiwan in_2009, Taichung was selected as a low-carbon demonstration city, in which energy conservation and carbon reduction would be actively promoted, with the wider aim of developing a green economy and lifestyle. This study explores the carbon-reduction benefits of the MRT elevated railway in the Taichung Metropolitan Area. The railway’s construction has been associated with intensive redevelopment of existing stations, but this process has been unbalanced due to railway physical. Five new stations will also be added, and belt-like spaces at ground level made available for housing and other non-railway-related purposes. Utilizing literature collection and the Analytical Hierarchy Process (AHP) research method to explore the factors affecting the efficiency of the MRT, this study reveals that the AHP weights of the main criteria for the escalation of MRT development in Taichung are 0.5833 for green transportation and 0.4167 for green environment; while in the overall ranking of the sub-criteria, the top three evaluation factors are mass transportation (0.31337), greenery planting (0.21832), and green building (0.19444).