دانلود رایگان مقاله کیفیت آنالیز معیارهای چندگانه زندگی شهری
|عنوان فارسی:||کیفیت آنالیز معیارهای چندگانه زندگی شهری|
|عنوان انگلیسی:||Quality of city life multiple criteria analysis|
|تعداد صفحات مقاله انگلیسی : 12||تعداد صفحات ترجمه فارسی : ترجمه نشده|
|سال انتشار : 2018||نشریه : الزویر - Elsevier|
|فرمت مقاله انگلیسی : PDF||کد محصول : E5625|
|محتوای فایل : PDF||حجم فایل : mb3|
|رشته های مرتبط با این مقاله: علوم اجتماعی|
|گرایش های مرتبط با این مقاله: پژوهشگری اجتماعی|
|مجله: شهرها - Cities|
|دانشگاه: Vilnius Gediminas Technical University - Lithuania|
|کلمات کلیدی: شهرهای پايدار، شاخص های شهرسازی، شاخص كيفيت زندگی، روش INVAR، مدل سازی، تحليل حساسيت|
International practice applies several urban indicators for sustainable cities (Monocle's Quality of Life Survey, Quality of Life Index (QLI), Indicators for Sustainability, European Green City Index, City Blueprint and others). These urban indicators can serve in performing integrated monitoring, assessing and recommending objectives sought by cities by different quantitative and qualitative aspects. Some of these tools can be applied to assessing a city's quality of life. One of the goals of this article is to compare several alternative methods for assessing a city's quality of life and their accuracies. A comparison was performed of the QLI and INVAR methods while conducting an analysis of comparable data from the 2012–2016 surveys on the Quality of Life in European Cities. Upon establishing the rankings of European cities by their quality of life with the assistance of the QLI and INVAR methods, an estimation of correspondence of results obtained by both methods and sensitivity analysis were performed based on a quantitative tool proposed in this paper. The obtained values of such criteria revealed a good level of congruity between the ranks obtained by employing both methods. The sensitivity analysis indicated that the results yielded by both the QLI and INVAR methods for rating the quality of life in European cities per the ever-fluctuating 2012–2016 data were similar. In other words, there was little difference between these methods for city ranking. This research also provides the INVAR method and its abilities to supplement the QLI with new functions: quantitative recommendations for cities under analysis by the indicators under analysis, optimization of indicators with consideration of indicators achieved in the quality of life area, and establishment of the values of the indicators under analysis permitting the city under analysis to raise its rating to the desired level.
5. Conclusions and future work
Various frameworks for assessing indicators of city sustainability are employed worldwide, including Urban Sustainability Indicators, Mercer's Quality of Living Ranking, Monocle's Quality of Life Survey, European Green City Index, Quality of Life Index, Global City Indicators Programme, City Blueprint, Indicators for Sustainability, and the EIU's Global Liveability Ranking. These frameworks determine quality of life values in their assessments. Nonetheless, for now, these frameworks for assessing indicators of city sustainability do not provide automated quantitative guidelines for enriching concrete indicators. They are unable to rationalize designated indicators by considering the existing quality of life situation in the city under analysis; they are unable to calculate the values of the indicators which would permit a city to be best of the others under analysis. The INVAR method supplements the frameworks with new above functions.
There is a comparison of the Quality of Life Index and the INVAR method to establish the accuracy of the suggested INVAR method. The assessment of a city's quality of life employs the same 2012–2016 data on European cities (criteria values and weights). Usually all the frameworks for gauging indicators of a city's sustainability have developed ranking grades that are diverse, to some extent.