鑒於本研究之相關限制，在此提出未來後續發展之相關建議。
1. 本研究由於受限於時間、人力及實際資料之完整程度，僅能就低碳城市專案 計畫所提供之資料及徵詢專家學者意見而假設之數據進行模式之驗證與測 試。建議後續相關研究能蒐集更為完整之資訊以利分析之進行。
2. 受限於時間之原因，本研究所發展之第三模式為一複雜多目標混合整數非線 性規劃 MOMINLP 問題，僅提供一收斂之參考解；同時兩目標之權重比仍 需要再經過證明與校準。未來建議模式做進一步測試。
3. 因近年來地方共同生活圈之觀念已形成，各地區實際有效影響計畫效益及成 本的人口數劃分趨近模糊，難以界定。因此本研究未考慮以人口數作為影響 變數，建議後續未來研究能進一步作為參考。
4. 建議政府於未來之評選計畫決策過程中，明確要求各級單位提列之計畫書內 容及數據做一完整性補充及評估而不僅是數據結果，僅以文字表達著實有其 困難之處。同時政府於計畫評選時建議先將計畫分類，不同性質之計畫適用 之社經特性也不相同，與其他計畫混雜評選較難達成實質上之公平性。
5. 為落實分配公平性之原則，建議望後相關研究可整理並建立一套公平客觀與 獨立的一套統一評估標準、換算衡量公式與評選機制。以便中央決策者或利 害關係人在評選過程中，能對資料之間的比較權衡關係能迅速掌握，同時避 免提審計畫之單位浮報數據及評估標準不一之風險存在。
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參考文獻
1. 交通部運輸研究所 (2010)，運輸設施節能減碳整體發展計畫規劃與資訊平台 建置。
2. 行 政 院 環 境 保 護 署 (2009) ， 全 國 能 源 會 議 。 Published online http://www.epa.gov.tw/（更新至2011）
3. 余如梅 (2002)，應用多目標規劃於模糊專案之投資組合及資金配置問題，國 立台北科技大學生產系統工程與管理研究所碩士論文。
4. 林小萍 (1999)，中小企業預算分配之模糊多目標決策方法，華梵大學工業管 理研究所碩士論文。
5. 林幸樺 (2002)，「京都議定書彈性機制的採行對台灣總體經濟影響之研究─
可計算一般均衡模型之分析」，台灣大學農業經濟學系博士論文。
6. 張乃斌 (2002)，環境系統分析原理（下冊），台北，茂昌圖書有限公司。
7. 許志義 (1994)，多目標決策，台北，五南圖書出版公司。
8. 馮正民、邱裕鈞 (2004)，研究分析方法，新竹，建都文化。
9. 馮正民、魏國強、洪嘉宏 (1989)，管理科學學報，第六卷，第一期，p27-40 10. 楊有恆、虞孝成、劉宜欣，(2007)，資源配置最適化二階層線性規劃模型之
研究─以科技專案計畫預算分配為例。科技管理學刊，第十二卷第二期 p93-124。
11. 楊駕人 (2007)，國防預算最適化資源分配模式與應用，交通大學科技管理研 究所博士論文。
12. 楊駕人 (2009)，「國防預算最適化資源分配模式與應用」，交通大學科技管理 研究所博士論文。
13. 葉康洋 (2009)，應用多目標規劃方法建構軍事投資建案決策模式研究，國立 中央大學工業管理研究所。
14. 蔣本基、顧洋、鄭耀文、林志森（2006），我國溫室氣體減量整體因應計畫，
Journal of Science and Engineering Technology, 第二卷, 第一期, p1-8
15. 鄧振源 (2005)，計畫評估─方法與應用，基隆，海洋大學運籌規劃與管理研 究中心。
16. 鄭志強、蔡麗敏、徐作聖、曾國雄 (2004)，模糊啟發式演算法則應用於低放 射性廢棄物運送路線選擇之研究，中華管理學報，第五卷，第一期，p41-56 17. 簡慧貞、呂鴻光、何舜琴、林達雄（2005），「京都議定書生效後溫室氣體
減量之因應」，台電工程月刊，第681期。
18. 顏君聿 (2008)，臺灣經濟研究月刊，第31卷第8期，p40-49。
19. 顏君聿 (2009)，「探討我國城市推動節能減碳計畫」，臺灣經濟研究月刊，
32:6=378，p43-49。
20. 顏君聿 (2009)，臺灣經濟研究月刊，第32卷第6期，p43-49。
88
21. Alves, M. J. and Clímaco, J. (1999), “Using cutting planes in an interactive point approach for multi.objective integer linear programming problems”, European
Journal of Operational Research, 117, p565-577.
22. Anable, J., Boardman, B.（2005）. Transport and CO2. UKERC Working Paper.
UK Energy Research Centre, London.
23. Anderson, S.R., Kadirkamanathan, V., Chipperfield, A.J., Sharifi, V. and Swithenbank, J. (2005), “Multi.objective optimization of operational variables in a waste incineration plant”. Computers & Chemical Engineering, 29 (5) , p1121-1130.
24. Beevers, S.D., Carslaw, D.C. (2005). “The impact of congestion charging on vehicle emissions in London”. Atmospheric Environment, 39, p1–5.
25. Cairns, S., Sloman, L., Newson, C., Anable, J., Kirkbride, A., Goodwin, P.（2004）.
Smarter Choices – Changing the Way We Travel, UK Department of Transport.
26. DfT (2006), Visioning and Backcasting for UK Transport Policy (VIBAT) . Stage 3 Report: Policy Packaging and Pathways. Department for Transport.
27. DOT (2010), Transportation’s Role in Reducing U.S. Greenhouse Gas Emissions, Center for Climate Change and Environmental Forecasting, U.S. Department of Transportation.
28. Goicoechea, A., Hansen, D. R., & Duckstin, L. (1982), Multi.objective decision analysis with engineering and business application, Academic Press, New York.
29. Greene, D.L., Wegener, M. (1997), “Sustainable transport”. Journal of Transport
Geography, 5, p177–190.
30. Huang, W. , Teng, J. , & Li, M. (2010), “THE BUDGET ALLOCATION MODEL OF PUBLIC INFRASTRUCTURE PROJECTS”, Journal of Marine Science and
Technology, Vol. 18, No. 5, p 697-708.
31. Hwang, C.L., and Yoon, K. (1981), Multiple Attribute Decision Marking:
Methods and Application, Springer.Verlag, Heidelberg, Berlin.
32. IEA (2002), International Energy Agency. Transportation Energy. Paris, France.
33. IEA (2009), International Energy Agency. Transportation Energy. Paris, France.
34. IPCC (2007), Climate Change 2007: Mitigation of Climate Change, Summary for Policy Maker.
35. Junn.Yuan Teng, Wen.Chih Huang, Maw.Cherng Lin (2010), Systematic budget allocation for transportation construction projects: a case in Taiwan.
Transportation, Springer, 37, p 331-361
36. Kaplan, E.H. and Michael H.M. (2002), “Allocating HIV-prevention resources:
Balancing efficiency and equity,” American Journal of Public Health, Washington, vol 92.
89
37. Kuchta, D. (2000), “Fuzzy capital budgeting,” Fuzzy Sets and Systems, 111, p367-385.
38. Kwak, N. K., & Dominnie C. B.(1987), “A programming model for allocating operating budgets of academic units,” Social Economic Planning Sciences, vol.21, 5, p333-339.
39. Lai, Fengbo and Ren, Jianlan (2011), “On the necessity and governance model of the construction of China's low.carbon transportation system”, Energy Procedia, v 5, p1502-1507, 2010 International Conference on Energy, Environment and Development, ICEED 2010.
40. Lai, Y.J. and Hwang, C.L. (1992), “A new approach to some possibilistic linear programming problem”, Fuzzy Sets and System, 49, p121-133.
41. Lee, C. (2007),”Transport and climate change: a review”, Journal of Transport
Geography, 15, p354–367.
42. Lenzen, M., Dey, C., Hamilton, C. (2003). Climate change. In: Hensher, Handbooks in Transport 4: Handbook of Transport and the Environment. Elsevier, p 37–60.
43. Li, Hongqi, Gao, Hongtao (2010), “Founding low.carbon highway freight transportation networks: An example study on Shandong Province”, IET Conference Publications, v2010, n 573 CP, p 132.137, 6th Advanced Forum on Transportation of China, AFTC 2010
44. Li, Qianxi, Li, Qi (2010), “Low carbon transportation in Japan and its developmental analysis”, IET Conference Publications, n 573 CP, p 142-143, 2010, 6th Advanced Forum on Transportation of China, AFTC 2010
45. Liang, T.F. (2010). “Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments”. Expert Systems with
Applications, 37, p8499–8507
46. Lin, M. , Tsai, J. , & Ye, Y. (2008), Budget allocation in a competitive communication spectrum economy, EURASIP Journal on Advances Signal Processing.
47. Liu, Quan.Le and Chen, Wei (2011), “Research on construction of urban low carbon transport system”, ICMREE2011 . Proceedings 2011 International Conference on Materials for Renewable Energy and Environment, v 2, p 1263-1266, ICMREE2011.
48. Lopez.Ruiz, G. Hector (2010), “Adaptation strategies for low carbon transport by 2050”, Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, v 383, p186.200, Traffic and Transportation Studies 2010 . Proceedings of the 7th International Conference on Traffic and Transportation Studies.
90
49. Mitchell, G. (2005). “Forecasting environmental equality: air quality responses to road user charging in Leeds, UK”. Journal of Environmental Management, 77, p212–226.
50. Potter, S. (2003). Transport energy and emissions: urban public transport. In:
Hensher, Handbooks in Transport 4: Handbook of Transport and the Environment.
Elsevier, p247–262.
51. Schipper, L.J., Fulton, L. (2003). Carbon dioxide emissions from transportation:
trends, driving forces and forces for change. In: Hensher, Handbooks in Transport 4: Handbook of Transport and the Environment. Elsevier, p203–226.
52. Sperling, D. (2003). Cleaner vehicles. In: Hensher, Handbooks in Transport 4:
Handbook of Transport and the Environment. Elsevier, p185–202.
53. Sperling, D., and Lutsey, N. (2009). Energy efficiency in Passenger Transportation. National Academy of Engineering.
54. Stanley, J., Watkiss, P. (2003). Transport energy and emissions: buses. In:
Hensher, Handbooks in Transport 4: Handbook of Transport and the Environment.
Elsevier, p227–246.
55. Steven A. Gabriel, Javier F. Ordóñez, and José A. Faria, (2006),“Contingency Planning in Project Selection using Multi-objective Optimization and Chance Constraints,” Journal of Infrastructure Systems, Vol. 12, No. 2, p 112-120.
56. Tarek M. Zayed, (2004), “Budget Allocation for Steel Bridge Paint Maintenance,”
Journal of Performance of Constructed Facilities, Vol. 18, No. 1, p 36-46.
57. Waterson, B.J., Rajbhandari, B., Hounsell, N.B. (2003). Simulating the impacts of strong bus priority measures. Journal of Transportation Engineering, 129, p642–
647.
58. WBCSD（2001）. Mobility 2001: World Mobility at the End of the Twentieth Century and Its Sustainability. World Business Council for Sustainable Development.
59. Wise, Kenneth., & Perushek, D. E. (2000). “Goal programming as a solution technique for the acquisitions allocation problem”. Library and Information