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Frontiers of Engineering Management

, Volume 6, Issue 3, pp 416–432 | Cite as

Case-based reasoning for selection of the best practices in low-carbon city development

  • Zhenhua Huang
  • Hongqin FanEmail author
  • Liyin Shen
Research Article
  • 5 Downloads

Abstract

Cities emit extensive carbon emissions, which are considered a major contributor to the severe issue of climate change. Various low-carbon development programs have been initiated at the city level worldwide to address this problem. These practices are invaluable in promoting the development of low-carbon cities. Therefore, an effective approach should be developed to help decision makers select the best practices from previous experience on the basis of the impact features of carbon emission and city context features. This study introduces a case-based reasoning methodology for a specific city to select the best practices as references for low-carbon city development. The proposed methodology consists of three main components, namely, case representation, case retrieval, and case adaption and retention. For city representation, this study selects city context features and the impact features of carbon emission to characterize and represent a city. The proposed methodology is demonstrated by applying it to the selection of the best practices for low-carbon development of Chengdu City in Sichuan Province, China.

Keywords

low-carbon city carbon emission best practices case-based reasoning 

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References

  1. Aamodt A, Plaza E (1994). Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications, 7(1): 39–59Google Scholar
  2. Bartlett F C (1932). Remembering: a Study in Experimental and Social Psychology. Cambridge: Cambridge University PressGoogle Scholar
  3. Beaverstock J V, Smith R G, Taylor P J (1999). A roster of world cities. Cities, 16(6): 445–458CrossRefGoogle Scholar
  4. Berlin Agenda Forum (2004). Designing the FUTURE: Agenda Draft Summary Adopted by the Berlin Agenda Forum. 2nd ed. Berlin: Berlin 21Google Scholar
  5. Berry M J, Linoff G (1997). Data Mining Techniques: for Marketing, Sales, and Customer Support. New York: John Wiley & SonsGoogle Scholar
  6. Bi J, Zhang R, Wang H, Liu M, Wu Y (2011). The benchmarks of carbon emissions and policy implications for China’s cities: case of Nanjing. Energy Policy, 39(9): 4785–4794CrossRefGoogle Scholar
  7. Blanco G, Gerlagh R, Suh S, Barrett J, de Coninck H C, Morejon C F D, Mathur R, Nakicenovic N, Ahenkorah A O, Pan J H, Pathak H, Rice J, Richels R, Smith S J, Stern D I, Toth F L, Zhou P (2014). Drivers, trends and mitigation. In: Edenhofer O, Pichs-Madruga R, Sokona Y, Farahani E, Kadner S, Seyboth K, Adler A, Baum I, Brunner S, Eickemeier P, Kriemann B, Savolainen J, Schlömer S, von Stechow C, Zwickel T, Minx J C, eds. Climate Change 2014: Mitigation of Climate Change. IPCC Working Group III Contribution to AR5. Cambridge: Cambridge University PressGoogle Scholar
  8. Brännlund R, Lundgren T (2007). Swedish industry and Kyoto—an assessment of the effects of the European CO2 emission trading system. Energy Policy, 35(9): 4749–4762CrossRefGoogle Scholar
  9. California Environmental Protection Agency (2006). Climate Action Team Report to Governor Schwarzenegger and the Legislature. Climate Action Team ReportGoogle Scholar
  10. Chan E H W, Choy L H T, Yung E H K (2013). Current research on low-carbon cities and institutional responses. Habitat International, 37: 1–3CrossRefGoogle Scholar
  11. Chen J, Shen L Y, Shi Q, Hong J K, Ochoa J J (2019a). The effect of production structure on the total CO2 emissions intensity in the Chinese construction industry. Journal of Cleaner Production, 213: 1087–1095CrossRefGoogle Scholar
  12. Chen J, Shi Q, Shen L, Huang Y, Wu Y (2019b). What makes the difference in construction carbon emissions between China and USA? Sustainable Cities and Society, 44: 604–613CrossRefGoogle Scholar
  13. Chou J S (2009). Web-based CBR system applied to early cost budgeting for pavement maintenance project. Expert Systems with Applications, 36(2): 2947–2960CrossRefGoogle Scholar
  14. De Mántaras R L, McSherry D, Bridge D, Leake D, Smyth B, Craw S, Faltings B, Maher M L, Cox M T, Forbus K, Keane M, Aamodt A, Watson I (2005). Retrieval, reuse, revision and retention in case-based reasoning. Knowledge Engineering Review, 20(3): 215–240CrossRefGoogle Scholar
  15. Dourish P (2004). What we talk about when we talk about context. Personal and Ubiquitous Computing, 8(1): 19–30CrossRefGoogle Scholar
  16. Economic Development Council of Small and Medium-sized Cities in China Society of Urban Economy (2010). Annual Report on Development of Small and Medium-sized Cities in China. Beijing: Social Sciences Academic Press (in Chinese)Google Scholar
  17. El-Sappagh S, Elmogy M, Riad A M (2015). A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis. Artificial Intelligence in Medicine, 65(3): 179–208CrossRefGoogle Scholar
  18. Escriva-Bou A, Lund J R, Pulido-Velazquez M, Hui R, Medellín-Azuara J (2018). Developing a water-energy-GHG emissions modeling framework: insights from an application to California’s water system. Environmental Modelling & Software, 109: 54–65CrossRefGoogle Scholar
  19. Fan J L, Yu H, Wei Y M (2015). Residential energy-related carbon emissions in urban and rural China during 1996–2012: from the perspective of five end-use activities. Energy and Building, 96: 201–209CrossRefGoogle Scholar
  20. Fenton P (2017). Sustainable mobility in the low carbon city: digging up the highway in Odense, Denmark. Sustainable Cities and Society, 29: 203–210CrossRefGoogle Scholar
  21. Friedrich E, Trois C (2011). Quantification of greenhouse gas emissions from waste management processes for municipalities—a comparative review focusing on Africa. Waste Management, 31(7): 1585–1596CrossRefGoogle Scholar
  22. Fu B, Wu M, Che Y, Wang M, Huang Y, Bai Y (2015). The strategy of a low-carbon economy based on the STIRPAT and SD models. Acta Ecologica Sinica, 35(4): 76–82CrossRefGoogle Scholar
  23. Gomi K, Shimada K, Matsuoka Y (2010). A low-carbon scenario creation method for a local-scale economy and its application in Kyoto City. Energy Policy, 38(9): 4783–4796CrossRefGoogle Scholar
  24. Greater London Authority (2007). Action Today to Protect Tomorrow. Report from the Former Mayor of LondonGoogle Scholar
  25. Huggins R (2000). An index of competitiveness in the UK: local, regional and global analysis. In: Lloyd-Reason L, Wall S, eds. Dimensions of Competitiveness: Issues and Policies. Cheltenham: Edward Elgar, 163–182Google Scholar
  26. International Energy Agency (2013). Transition to Sustainable Buildings: Strategies and Opportunities to 2050. Paris: IEACrossRefGoogle Scholar
  27. Jebaraj S, Iniyan S (2006). A review of energy models. Renewable & Sustainable Energy Reviews, 10(4): 281–311CrossRefGoogle Scholar
  28. Jiang P, Tovey N K (2009). Opportunities for low carbon sustainability in large commercial buildings in China. Energy Policy, 37(11): 4949–4958CrossRefGoogle Scholar
  29. Jones G J (2005). Challenges and opportunities of context-aware information access. In: Proceedings of International Workshop on Ubiquitous Data Management, Tokyo, Japan, 53–60Google Scholar
  30. Kedia S (2016). Approaches to low carbon development in China and India. Advances in Climate Change Research, 7(4): 213–221CrossRefGoogle Scholar
  31. Khanna N, Fridley D, Hong L (2014). China’s pilot low-carbon city initiative: a comparative assessment of national goals and local plans. Sustainable Cities and Society, 12: 110–121CrossRefGoogle Scholar
  32. Kolodner J L (1983). Maintaining organization in a dynamic long-term memory. Cognitive Science, 7(4): 243–280CrossRefGoogle Scholar
  33. Kolodner J L (1993). Case-Based Reasoning. San Mateo: Morgan KaufmannzbMATHCrossRefGoogle Scholar
  34. Kolodner J L, Riesbeck C K (2014). Experience, Memory, and Reasoning. New York: Psychology PressGoogle Scholar
  35. Koo C, Hong T, Hyun C, Koo K (2010). A CBR-based hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects. Canadian Journal of Civil Engineering, 37(5): 739–752CrossRefGoogle Scholar
  36. Lehmann S (2012). Can rapid urbanization ever lead to low carbon cities? The case of Shanghai in comparison to Potsdamer Platz Berlin. Sustainable Cities and Society, 3: 1–12CrossRefGoogle Scholar
  37. Li H, Wang J, Yang X, Wang Y, Wu T (2018). A holistic overview of the progress of China’s low-carbon city pilots. Sustainable Cities and Society, 42: 289–300CrossRefGoogle Scholar
  38. Li Z, Chang S, Ma L, Liu P, Zhao L, Yao Q (2012). The development of low-carbon towns in china: concepts and practices. Energy, 47(1): 590–599CrossRefGoogle Scholar
  39. Lilien G L, Kotler P, Moorthy K S (1995). Marketing Models. Englewood: Prentice HallGoogle Scholar
  40. Lin B Q, Liu J H (2010). Estimating coal production peak and trends of coal imports in China. Energy Policy, 38(1): 512–519CrossRefGoogle Scholar
  41. Lin B, Liu H (2015). CO2 mitigation potential in China’s building construction industry: a comparison of energy performance. Building and Environment, 94: 239–251CrossRefGoogle Scholar
  42. Lind A, Espegren K (2017). The use of energy system models for analysing the transition to low-carbon cities—the case of Oslo. Energy Strategy Reviews, 15: 44–56CrossRefGoogle Scholar
  43. Liu B, Tian C, Li Y, Song H, Ma Z (2018). Research on the effects of urbanization on carbon emissions efficiency of urban agglomerations in China. Journal of Cleaner Production, 197(Part 1): 1374–1381CrossRefGoogle Scholar
  44. Liu D R, Ke C K (2007). Knowledge support for problem-solving in a production process: a hybrid of knowledge discovery and case-based reasoning. Expert Systems with Applications, 33(1): 147–161CrossRefGoogle Scholar
  45. Liu G, Yang Z, Chen B, Su M (2012). A dynamic low-carbon scenario analysis in case of Chongqing City. Procedia Environmental Sciences, 13(10): 1189–1203CrossRefGoogle Scholar
  46. Liu S, Tao R, Tam C M (2013). Optimizing cost and CO2 emission for construction projects using particle swarm optimization. Habitat International, 37: 155–162CrossRefGoogle Scholar
  47. Liu W, Qin B (2016). Low-carbon city initiatives in China: a review from the policy paradigm perspective. Cities, 51: 131–138CrossRefGoogle Scholar
  48. Lo K (2014). China’s low-carbon city initiatives: the implementation gap and the limits of the target responsibility system. Habitat International, 42: 236–244CrossRefGoogle Scholar
  49. Marlin J T, Ness I, Collins S T (1986). Book of World City Ranking. New York/London: Free Press/Collier MacmillanGoogle Scholar
  50. Ministry of Construction of the People’s Republic of China (2005). Code for Design of Civil Buildings. GB 50352 (in Chinese)Google Scholar
  51. Mi Z, Guan D, Liu Z, Liu J, Viguié V, Fromer N, Wang Y (2019). Cities: the core of climate change mitigation. Journal of Cleaner Production, 207: 582–589CrossRefGoogle Scholar
  52. Ministry of Housing and Urban-Rural Development of the People’s Republic of China (2013). China Urban Construction Statistical Yearbook 2012. Beijing: China Planning Press (in Chinese)Google Scholar
  53. Northam R M (1979). Urban Geography. Hoboken: John Wiley & SonsGoogle Scholar
  54. Oku K, Nakajima S, Miyazaki J, Uemura S (2006). Context-aware SVM for context-dependent information recommendation. In: Proceedings of the 7th International Conference on Mobile Data Management, Nara, Japan: IEEEGoogle Scholar
  55. Pal S K, Shiu S C (2004). Foundations of Soft Case-Based Reasoning (Vol. 8). Hoboken: John Wiley & SonsCrossRefGoogle Scholar
  56. Pathak M, Shukla P R (2016). Co-benefits of low carbon passenger transport actions in Indian cities: case study of Ahmedabad. Transportation Research Part D: Transport and Environment, 44(9): 303–316CrossRefGoogle Scholar
  57. Phdungsilp A (2010). Integrated energy and carbon modeling with a decision support system: policy scenarios for low-carbon city development in Bangkok. Energy Policy, 38(9): 4808–4817CrossRefGoogle Scholar
  58. Reffold E, Leighton F, Choudhury F, Rayner P S (2008). Greenhouse Gas Emissions of Water Supply and Demand Management Options. Science Report SC070010Google Scholar
  59. Riesbeck C K, Schank R C (1989). Inside Case-Based Reasoning. Hillsdale: L. Erlbaum Associates Inc.Google Scholar
  60. Rondinelli D A, Vastag G (1998). Urban economic growth in the 21st century: assessing the international competitiveness of metropolitan areas. In: Bilsborrow R E, ed. Migration, Urbanization and Development:New Directions and Issues. New York: Kluwer Academic Publishers, 469–514CrossRefGoogle Scholar
  61. Saraiva R, Perkusich M, Silva L, Almeida H, Siebra C, Perkusich A (2016). Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning. Expert Systems with Applications, 61: 192–202CrossRefGoogle Scholar
  62. Savageau D, Boyer R (1993). Places Rated Almanac: Your Guide to Finding the Best Places to Live in America. New York: Prentice Hall TravelGoogle Scholar
  63. Seto K C, Dhakal S, Bigio A, Blanco H, Delgado G C, Dewar D, Huang L, Inaba A, Kansal A, Lwasa S, McMahon J, Müller D B, Murakami J, Nagendra H, Ramaswami A (2014). Human settlements, infrastructure and spatial planning. In: Edenhofer O, Pichs-Madruga R, Sokona Y, Farahani E, Kadner S, Seyboth K, Adler A, Baum I, Brunner S, Eickemeier P, Kriemann B, Savolainen J, Schlömer S, von Stechow C, Zwickel T, Minx J C, eds. Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 923–1000Google Scholar
  64. Schilit B N, Theimer M M (1994). Disseminating active map information to mobile hosts. IEEE Network, 8(5): 22–32CrossRefGoogle Scholar
  65. Shen L Y, Ochoa J J, Zhang X, Yi P (2013). Experience mining for decision making on implementing sustainable urbanization—an innovative approach. Automation in Construction, 29: 40–49CrossRefGoogle Scholar
  66. Shen L, Yan H, Fan H, Wu Y, Zhang Y (2017a). An integrated system of text mining technique and case-based reasoning (TM-CBR) for supporting green building design. Building and Environment, 124: 388–401CrossRefGoogle Scholar
  67. Shen L, Yan H, Zhang X, Shuai C (2017b). Experience mining based innovative method for promoting urban sustainability. Journal of Cleaner Production, 156: 707–716CrossRefGoogle Scholar
  68. Shi X, Li X (2018). Research on three-stage dynamic relationship between carbon emission and urbanization rate in different city groups. Ecological Indicators, 91: 195–202CrossRefGoogle Scholar
  69. Stefanidis K, Pitoura E, Vassiliadis P (2008). A context-aware preference database system. International Journal of Pervasive Computing and Communications, 3(4): 439–460CrossRefGoogle Scholar
  70. Su M, Li R, Lu W, Chen C, Chen B, Yang Z (2013). Evaluation of a low-carbon city: method and application. Entropy, 15(4): 1171–1185MathSciNetCrossRefGoogle Scholar
  71. Tan S, Yang J, Yan J, Lee C, Hashim H, Chen B (2017). A holistic low carbon city indicator framework for sustainable development. Applied Energy, 185: 1919–1930CrossRefGoogle Scholar
  72. Tian Y, Xiong S, Ma X, Ji J (2018). Structural path decomposition of carbon emission: a study of China’s manufacturing industry. Journal of Cleaner Production, 193: 563–574CrossRefGoogle Scholar
  73. United Nations (2010). World Urbanization Prospects: the 2009 Revision. New York: United NationsGoogle Scholar
  74. Valcarce D, Parapar J, Barreiro Á (2018). Finding and analysing good neighbourhoods to improve collaborative filtering. Knowledge-Based Systems, 159: 193–202CrossRefGoogle Scholar
  75. Wang B, Hong G, Cui C Q, Yu H, Murty T (2019). Comprehensive analysis on China’s National Climate Change Assessment Reports: action and emphasis. Frontiers of Engineering Management, 6(1): 52–61CrossRefGoogle Scholar
  76. Wang Y, Deng J, Gao J, Zhang P (2017). A hybrid user similarity model for collaborative filtering. Information Sciences, 418–419: 102–118CrossRefGoogle Scholar
  77. Wang Z, Huang G H, Cai Y P, Dong C, Sun H G (2014). The identification of optimal CO2 emissions-trading strategies based on an inexact two-stage chance constrained programming approach. International Journal of Green Energy, 11(3): 302–319CrossRefGoogle Scholar
  78. Wang Z, Yin F, Zhang Y, Zhang X (2012). An empirical research on the influencing factors of regional CO2 emissions: evidence from Beijing City, China. Applied Energy, 100: 277–284CrossRefGoogle Scholar
  79. Williams B (2007). Statement on Climate Change at the UN Commission on Sustainable Development 15th Session. New York, USAGoogle Scholar
  80. Wu M C, Lo Y F, Hsu S H (2008). A fuzzy CBR technique for generating product ideas. Expert Systems with Applications, 34(1): 530–540CrossRefGoogle Scholar
  81. Wu X, Peng B, Lin B (2017). A dynamic life cycle carbon emission assessment on green and non-green buildings in China. Energy and Building, 149: 272–281CrossRefGoogle Scholar
  82. Xiao H, Wei Q, Wang H (2014). Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China’s building sector to 2030. Energy Policy, 69: 92–105CrossRefGoogle Scholar
  83. Xie R, Fang J, Liu C (2017). The effects of transportation infrastructure on urban carbon emissions. Applied Energy, 196: 199–207CrossRefGoogle Scholar
  84. Yang C J, Chen J L (2011). Accelerating preliminary eco-innovation design for products that integrates case-based reasoning and TRIZ method. Journal of Cleaner Production, 19(9–10): 998–1006CrossRefGoogle Scholar
  85. Yang X, Wang X C, Zhou Z Y (2018). Development path of Chinese low-carbon cities based on index evaluation. Advances in Climate Change Research, 9(2): 144–153CrossRefGoogle Scholar
  86. Yang L, Li Y (2013). Low-carbon city in China. Sustainable Cities and Society, 9: 62–66CrossRefGoogle Scholar
  87. Yao C, Feng K, Hubacek K (2015). Driving forces of CO2 emissions in the G20 countries: an index decomposition analysis from 1971 to 2010. Ecological Informatics, 26: 93–100CrossRefGoogle Scholar
  88. Yeh A G, Shi X (2001). Case-based reasoning (CBR) in development control. International Journal of Applied Earth Observation and Geoinformation, 3(3): 238–251CrossRefGoogle Scholar
  89. Yu L (2014). Low carbon eco-city: new approach for Chinese urbanization. Habitat International, 44: 102–110CrossRefGoogle Scholar
  90. Zhang H, Dai G (2018). Research on traffic decision making method based on image analysis case based reasoning. Optik, 158: 908–914CrossRefGoogle Scholar
  91. Zhang M S Y (2016). Low-Carbon Indicator System—Sino: Evaluating Low-Carbon City Development Level in China. Dissertation for the Doctoral Degree. Westphalia: University of Duisburg-EssenGoogle Scholar
  92. Zhang Y, Zhang J, Yang Z, Li S (2011). Regional differences in the factors that influence China’s energy-related carbon emissions, and potential mitigation strategies. Energy Policy, 39(12): 7712–7718CrossRefGoogle Scholar
  93. Zhang Z X (2010). China in the transition to a low-carbon economy. Energy Policy, 38(11): 6638–6653CrossRefGoogle Scholar
  94. Zhou G, Singh J, Wu J, Sinha R, Laurenti R, Frostell B (2015). Evaluating low-carbon city initiatives from the DPSIR framework perspective. Habitat International, 50: 289–299CrossRefGoogle Scholar
  95. Zoundi Z (2017). CO2 emissions, renewable energy and the environmental Kuznets curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72: 1067–1075CrossRefGoogle Scholar

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© Higher Education Press 2019

Authors and Affiliations

  1. 1.Department of Building and Real EstateThe Hong Kong Polytechnic UniversityHong KongChina
  2. 2.School of Construction Management and Real Estate, International Research Center for Sustainable Built EnvironmentChongqing UniversityChongqingChina

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