臺灣博碩士論文加值系統

印尼瑪瑯市交通擁堵問題日益嚴重，為改善交通問題，本研究針對瑪瑯市的Angkuta公車路線、站點作分析與規劃，以現有的Angkuta行經路線為基礎擴展公車線路，利用定量方式找出住宅區中潛在乘客的旅次發生和旅次吸引並找出公車站潛在點位，以Angkuta行經路線之500公尺環域為範圍與衛星影像套疊，並將人工數化之建物密度、建物平均尺寸與建物格局實體參數，行經路線以七種路線性能參數評估，參數由實地調查6條Angkuta路線蒐集取得。研究成果中，6條行經路線之公車站潛在站點包含 ABB路線18個停靠點、AG路線28個停靠點，AMG路線33個停靠點、ADL路線34個停靠點、LDG路線37個停靠點及ABG路線33個停靠點，路線性能參數分析的結果顯示，ABG、ADL及AMG路線性能尚可，LDH路線具有良好的路由性能，而AG及ABB路線性能則評估結果較差，本研究使用衛星圖像數據作為評估公車停靠站潛在位置具可行性，路線性能參數之分析可作為路線性能評估的參考。
關鍵詞：衛星圖像、旅次發生、旅次吸引、公車站、路線性能。

Congestion in Malang City increases every year. To overcome this problem, one of the solutions is by providing mass transportation. Malang city has one public transportation that is Angkuta, but the current conditions are considered ineffective. Mass transportation planning requires adequate facilities such as bus stops and effective routes. This research aims to select the most optimized bus stop locations for the Malang city transportation user from Angkuta and to extend bus route based on the existing route of Angkuta with review performance assessment. This research determines the potential location for bus stops with scoring method or parameter assessment, which can find out the potential trip production and trip attraction of passengers in the block area. By manually digitizing building roofs from the satellite image, physical parameters of buildings such as building density, average building size, and building layout are calculated. The method used for route evaluation is by analyzing route performance parameters. These parameters are carried out by field surveys for six Angkuta routes.
The results of this study generated potential locations for bus stop locations on the six routes. ABB route has 18 stop points, Route AG has 28 stop points, the AMG route has 33 stop points, the ADL route has 34 stop points, the LDG route has 37 stops, and the ABG route has 33 stops. The results of route performance analysis show that the ABG, ADL, and AMG routes have a fair performance. LDH routes have good route performance. Routes AG and ABB have bad route performance. This study shows that using satellite image data can be used as a recommendation to determine potential locations for bus stops. Moreover, the analysis of route performance parameters can use as a reference in route performance assessment.
Keywords: Satellite image, Trip production, Trip attraction, Bus stop, Route performance.

Abstract ii
Table of Contents iv
List of Figure vi
List of Table viii
1.1. Research Background 1
1.2. Problem Statement 2
1.3. Research Aims and Objectives 3
1.4. Thesis Outline 3
Chapter 2 Literature Review 5
2.1. GIS and Remote Sensing in Urban Transportation Planning 5
2.2. Index Model 5
2.3. Transportation Modeling 6
2.3.1. Trip Production and Trip Attraction 6
2.3.2. Parameter Trip Production and Trip Attraction 7
2.3.3. Index Evaluation Trip Production 7
2.3.4. Index Evaluation Trip Attraction 8
2.3.5. Weighting Parameters 8
2.4. Buffer 9
2.5. Determination of bus stop points 9
2.6. Willingness to Walk 10
2.7. Evaluation Route 10
2.7.1. Route Evaluation Parameters 10
2.7.2. Weighting Route Parameter 11
Chapter 3 Methodology 12
3.1. Research Tools and Materials 12
3.1.1. Research Tools 12
3.1.2. Research Materials 12
3.2. Data Type 12
3.3. Stage of Research 13
3.3.1. Evaluate the Location of the Angkuta Stop 13
3.3.1.1. Visual Interpretation 13
3.3.1.2. Visual Interpretation Test 14
3.3.1.3. Digitized Using GIS 14
3.3.1.4. Potential Location Angkuta Stop 16
3.3.1.5. Evaluation Route Angkuta Stop 19
3.4. Bus Type Plan 22
3.5. Framework 22
Chapter 4 Result and Discussion 24
4.1. Identification of Potential Bus Stop 24
4.1.1. Interpretation of Land Use 24
4.1.2. Interpretation Test 24
4.1.3. Trip production 26
4.1.4. Weighting Trip Production Parameters 26
4.1.5. Weighting Trip Attraction Parameters 34
4.1.6. Classification of Potential Locations for Bus Stops 42
4.2. Route Performance Evaluation 51
4.2.1. Route Network 51
4.2.2. Field Survey Data Processing 51
4.2.3. Analyzing of Route Performance Parameter 56
4.2.4. Weighting Parameter 58
4.2.5. Alternative Route 59
4.2.6. Forecasting Weighting Parameters for Buses 64
Chapter 5 Conclusion 69
5.1. Findings of this research 69
5.2 Limitations of the proposed methodology 70
5.3 Suggestions for future research 71
References 72

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