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姓名 魏薪怡(Hsin-Yi Wei) 查詢紙本館藏 畢業系所 營建管理研究所 論文名稱 都會地區快速道路特性對物流車輛速度與碳排放影響之研究-以東京都會地區為例
(Impact of Urban Road Characteristics to Freight Vehicle CO2 Emission and Velocity: Tokyo Metropolitan Area)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 車輛二氧化碳排放及速度主要受到道路特性差異的影響,尤其於都會地區會更加明顯。本研究目的在於識別哪些道路特性為碳排放及速度的影響因子及評估這些影響因子對車輛碳排放及速度的影響程度。本文在文獻回顧中,簡單扼要的介紹車輛碳排放推估的相關研究及目前已探討過的道路特性、道路設計影響因子。接著,以2014年第五回東京都市圈物資流動調查的實際車輛軌跡數據作為研究對象,收集調查中紀錄的197台物流車輛所行駛7638趟旅次的時間及路線,並與日本數位道路地圖裡的資訊結合。藉由統計分析方法,得知道路特性對碳排放量有相當顯著的影響,快速道路等級、收費道路、路寬、車流量及速限等道路特性皆為顯著影響因子,其中又以快速道路等級為主要影響因子。 摘要(英) Road characteristics are usually dominant influencing vehicle CO2 emission and velocity especially in urban areas. The purposes of this study are to identify the factors firstly and to empirically evaluate how these factors influence vehicle CO2 emission and velocity. The study methodology started with a literature review outlining vehicle emission and road characteristics. After done with probe data sampling to examine the feasibility of data collection, a full scale data collection was carried out to have 7638 trips done by 197 freight vehicles based the 5th urban freight survey in Tokyo Metropolitan area in 2014. The results yielded from the statistical analysis indicate that the road characteristics including expressway, toll, width, traffic volume, and speed limit are the significant factors while the speed limit is the most significant. Empirical findings again emphasize how substantial the influence of road characteristics to CO2 emission can be. 關鍵字(中) ★ 道路特性
★ 都會地區
★ 二氧化碳排放量
★ 物流車輛關鍵字(英) ★ road characteristics
★ urban
★ CO2 emission
★ freight vehicle論文目次 Abstract i
摘要 ii
誌謝 iii
Table of Contents v
List of Figures vii
List of Tables viii
Chapter 1: Introduction 1
1.1 Research Background 1
1.2 Problem Statement and Research Objective 4
1.3 Research Scope and Limitation 4
1.4 Research Process and Methodology 5
1.5 Thesis Outline 5
Chapter 2: Literature Review 7
2.1 CO2 Emission/ Fuel Consumption Estimation 7
2.2 CO2 Emission Impact Factors 9
2.2.1 Road Type 9
2.2.2 Speed Limit 10
2.2.3 Slope 12
2.2.4 Horizontal Alignment 12
2.2.5 Pavement Type 13
2.2.6 Special Design 13
Chapter 3: Data Processing 15
3.1 Probe Data 15
3.2 Digital Road Map 16
3.3 Data Introduction 19
3.4 Data Combination and Selection 21
Chapter 4: Statistic Analysis and Discussion 24
4.1 Dependent Variable and Independent Variables 24
4.2 Regression Analysis 25
4.3 Analysis Results 30
Chapter 5: Conclusion and Suggestion 34
5.1 Conclusion and Contributions 34
5.2 Suggestions 34
References 36
Appendix A: The Regression Model for 4 Tons Trucks 38
Appendix B: The Regression Model for 10 Tons Trucks 43
Appendix C: The Regression Model for Semi-trailers 48
Appendix D: The Regression Model without Urban Roads for 10 Tons Trucks 53
Appendix E: The Regression Model without Urban Roads for 10 Tons Trucks 58
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