Browsing by Author "Chen, Tai-Chieh"

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Direct and indirect factors affecting emissions of cars and motorcycles in Taiwan
(2010)
Chiou, Yu-Chiun
;
Chen, Tai-Chieh
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This article proposes Direct Correlation (DC) models and Integrated Correlation (IC) models for cars and motorcycles emissions, respectively. The DC models regress emissions on vehicle-related variables (i.e. direct factors), while the IC models further account for such variables (i.e. indirect factors) as driver/rider demographics, vehicle mileages travelled and regional types by using structural equation modelling. Results show that vehicle characteristics are the most influencing factors affecting hydrocarbon and carbon monoxide emissions. The old vehicles with small engine, manual transmission, high cumulative mileages travelled, using unleaded gasoline #92 and 2-stroke engine (for motorcycle) can be identified as 'high-emitting' vehicles. The second most influencing construct is the driver/rider demographics. The aged, male, low-educated car drivers and motorcyclists with high income and long driving/riding experience tend to use high-emitting vehicles.
FACTORS AFFECTING USAGE OF HIGH-EMITTING CARS AND MOTORCYCLES IN TAIWAN
(2008)
Chiou, Yu-Chiun
;
Lan, Lawrence W.
;
Chen, Tai-Chieh
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
To investigate the significant factors affecting the usage of high-emitting cars and motorcycles in Taiwan, this paper conducts a nationwide post-mailed questionnaire survey on the owners of cars and motorcycles; each vehicle type contains 45 thousand samples drawn from Taiwan's Vehicle Registration Database. A total of 3,454 car samples and 2,856 motorcycle samples are returned. We further match these returned samples with Taiwan's Vehicle Inspection and Management Database according to the license plate number. Some 748 car samples and 1,322 motorcycle samples have been successfully matched, which are further used to build up structural equation models for testing the cause-effect hypotheses between the latent constructs (sets of factors) and the usage of high-emitting vehicles. Our results show that the most influencing construct is the vehicle characteristics, which include old, small engine, manual transmission, high mileage, and 2-stroke engine (only for motorcycle) vehicles. The second most influencing construct is the driver/rider demographics, which includes aged, male, low-educated, high-income, and long-driving-experience people. Our results also show that emissions of cars are more serious in small cities than in large and medium cities; however, this relationship is not significantly existent in the motorcycle model.