مشخصات مقاله | |
ترجمه عنوان مقاله | طرح اکو-شهر تیانجین در نوشته های علمی در مورد پایداری شهری |
عنوان انگلیسی مقاله | The Tianjin Eco-City model in the academic literature on urban sustainability |
انتشار | مقاله سال 2019 |
تعداد صفحات مقاله انگلیسی | 41 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس نمیباشد |
نمایه (index) | Scopus – Master Journals List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
7.096 در سال 2018 |
شاخص H_index | 150 در سال 2019 |
شاخص SJR | 1.620 در سال 2018 |
شناسه ISSN | 0959-6526 |
شاخص Quartile (چارک) | Q1 در سال 2018 |
رشته های مرتبط | مهندسی معماری، شهرسازی |
گرایش های مرتبط | مدیریت پروژه و ساخت، معماری پایدار، طراحی شهری |
نوع ارائه مقاله |
ژورنال |
مجله | مجله تولید پاک – Journal of Cleaner Production |
دانشگاه | University Paris-Est, Laboratoire Eau Environnement et Systèmes Urbains, Ecole des Ponts ParisTech, France |
کلمات کلیدی | پایداری شهری، شاخص های محیطی، شاخص کلیدی عملکرد اکو-شهر تیانجین، مبانی علمی، تحلیل کتاب سنجی، تحلیل جغرافیایی |
کلمات کلیدی انگلیسی | Urban sustainability، Environmental indicators، Tianjin Eco-City KPI، Scientific rationale، Bibliometric analysis، Geographical analysis |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.jclepro.2018.12.018 |
کد محصول | E11331 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract
1- Introduction 2- Methodology 3- Results 4- Discussion and conclusion References |
بخشی از متن مقاله: |
Abstract Recent intensive eco-city development in China has been accompanied by rising enthusiasm for environmental sustainability indicators. Whilst there are calls for the indicators to be standardised, and criticism of the difficulties in applying them, little effort has been made to understand their scientific rationale. This article employs a comprehensive bibliometric analysis to investigate the use of environmental indicators from the Tianjin Eco-City Key Performance Indicators by the international scientific community working on urban sustainability. The findings draw a clear picture of the place of Tianjin Eco-City’s indicators in the international scientific literature. China’s ecological problems are found to attract interest not only from domestic researchers but also researchers outside the country. The indicators are used not only for urban planning and management but also for a wide range of urban-related and non-urban-related purposes. The scientific rationale of the eleven indicators is specifically addressed, revealing a number of underlying questions about the Tianjin Eco-City indicators. Introduction Following the recent promotion of eco-cities, there is increasing interest among researchers and policy makers in sustainability assessment. A sustainable city can be defined by analogy with the Brundtland Commission’s definition of sustainable development (WCED, 1987) as a city that ensures that development meets the needs of the present without compromising the ability of future generations to meet their own needs. Conventionally incorporated into the triple bottom line of environmental, social and economic criteria, the substantive purpose of sustainability assessment is to provide policymakers and city planners with tools for evaluating their cities and to help them to decide what actions to take and not to take (Devuyst et al., 2001). In this context, the main functions of sustainability assessment include decision-making and decision management, target setting, advocacy, participation and consensus building (Joss et al., 2012; Parris and Kates, 2003; Pastille Consortium, 2002). The indicators can be broken down into single-unit indices (such as ecological footprint, wellbeing index, emergy) and indicator-based indices. By contrast with single-unit indices, which score the combined performances of a city, indicator-based indices provide disaggregated information and are used to track sector-level factors (Fiala, 2008). |