Critical Success Factors of the Urban Environmental Quality

Sung-Lin Hsueh, Youn-Jien Lin

Ekoloji, 2018, Issue 106, Pages: 217-222, Article No: e106004


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Application of technologies can improve our urban environmental quality and enhance the quality of our lives. However, the use of technologies and the development of economy can also pollute and damage our urban environmental quality. Living in poor environments mean more expenses of unrenewable resources and more environmental burdens for future generations. It can also cause profound negative influences on individuals, businesses, and the country as a whole. Therefore, when pursuing wealth growth and economic development, both governments and businesses must invest more in improving the urban environmental qualitys in the neighborhoods and in the country as well. In this study, a questionnaire survey was conducted on residents in Fujian Province. Totally 1,000 questionnaires were distributed and 873 valid samples were returned with a return rate of 87.3%. According to the findings of this study, it is found that (1) the most important dimension of urban environmental quality is the “external environment” dimension (with a weight value of 0.378), followed by the “management” dimension (with a weight value of 0.354) and the “internal environment” (with a weight value of 0.268); and (2) among the 13 CSFs of urban environmental quality, the top five with the highest weight values are: health, sustainability, security, awareness, and convenience. Hopefully, this study can provide helpful references for the development planning and improvement of urban environmental quality in the city.


city environment, urban environmental quality, critical success factor (CSF)


  • Beskese A, Demir HH, Ozcan HK, Okten HE (2015) Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul. Environmental Earth Sciences, 73(7): 3513-3521.
  • Boselli R, Cesarini M, Mercorio F, Mezzanzanica M (2015) Applying the AHP to Smart Mobility Services: A Case Study. Paper presented at the DATA.
  • Chaudhary A, Uprety I (2016) Analysis of telecom service quality factors with analytic hierarchy process and fuzzy extent analysis: a case of public sector unit. International Journal of Business and Systems Research, 10(2-4): 162-185.
  • Cui C, Geerman S, Hooimeijer P (2016) Access to homeownership in city China: A comparison between skilled migrants and skilled locals in Nanjing. City, 50: 188-196.
  • Doherty G (2015) Quality in family child care: A focus group study with Canadian providers. Early Childhood Education Journal, 43: 157-167.
  • Gan C, Hu B, Gao C, Kao B, Cohen DA (2014) An empirical analysis of homeownership in city China. Journal of Asia Business Studies, 8(1): 1–17.
  • Hosseini MH, Keshavarz E (2017) Using fuzzy AHP and fuzzy TOPSIS for strategic analysis measurement of service quality in banking industry. International Journal of Applied Management Science, 9(1): 55-80.
  • Hsueh SL (2012) A fuzzy utility-based multi-criteria model for evaluating households’ energy conservation performance: A taiwanese case study, Energies, 5(8): 2818-2834.
  • Hsueh SL (2015) Assessing the effectiveness of community-promoted environmental protection policy by using a Delphi-fuzzy method: A case study on solar power and plain afforestation in Taiwan. Renewable and Sustainable Energy Reviews, 49: 1286-1295.
  • Hsueh SL, Cheng AC (2017) Improving air quality in communities by using a multicriteria decision-making model based on big data: A critical review. Applied Ecology and Environmental Research, 15(2): 15-31.
  • Huang X, Dijst M, Weesep JV, Zou N (2014) Residential mobility in China: Home ownership among ruralecity migrants after reform of the hukou registration system. Journal of Housing and the Built Environment, 29: 615-636.
  • Li D, Chen Y, Chen H, Kai G, Hui CM, Yang J (2016) Assessing the integrated sustainability of a public rental housing project from the perspective of complex eco-system. Habitat International, 53: 546-555.
  • Liu KS, Hsueh SL, Chen HY (2018) Relationships between Environmental Education, Environmental Attitudes, and Behavioral Intentions toward Ecolodging, Open House International, 43(2): 5-12.
  • Liu KS, Liao YT, Hsueh SL (2017) Implementing smart green building architecture to residential project based on Kaohsiung, Taiwan. Applied Ecology and Environmental Research, 15(2): 159-171.
  • Mao Y, Fornara F, Manca S, Bonnes M (2015) Perceived Residential Environment Quality Indicators and neighborhood attachment: A confirmation study on a Chinese sample in Chongqing. PsyCh Journal, 4(3): 123-137.
  • Mastorakis G, Makris D (2014) Fall detection system using Kinect’s infrared sensor. Journal of Real-Time Image Processing, 9(4): 635-646.
  • Masudin I, Saputro T (2016) Evaluation of B2C website based on the usability factors by using fuzzy AHP & hierarchical fuzzy TOPSIS. Paper presented at the IOP Conference Series: Materials Science and Engineering.
  • Shebaro B, Oluwatimi O, Bertino E (2015) Context-based access control systems for mobile devices. Dependable and Secure Computing, IEEE Transactions on, 12(2): 150-163.
  • Siraj I, Kingston D, Melhuish E (2015) Assessing quality in early childhood education and care: Sustained shared thinking and emotional well-being (SSTEW) scale for 2–5- year-olds provision. London, England: Trentham Books.
  • Yoon H, Srinivasan S (2015) Are They Well Situated? Spatial Analysis of Privately Owned Public Space, Manhattan, New York City. City Affairs Review, 51(3): 358–380.