Identifying Quality of Life Indicators in Urban Neighborhoods
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 538
فایل این مقاله در 14 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICSAU04_2237
تاریخ نمایه سازی: 11 مرداد 1396
چکیده مقاله:
Over the past few decades, the concept of quality of life (QoL) has developed a key issue that effects on various dimensions of individual and group life. Recently the quality of life has become a commonly used concept and is showing growing significance in social, cultural and economic issues. It determines social welfare and life satisfaction of individual home and city. Urban quality of life is usually measured by indicators using surveys of citizens’ perceptions, experiences, evaluations and satisfaction. One of the main goals of urban planners and designers is to create urban areas that all citizens have easy access to different services. The main purpose of this study was to use available literature to develop a set of indicators of quality of life in urban neighborhoods.The results revealed that there are considerable differences between objective and subjective measuring of urban quality of life in an urban space. Therefore urban designers cannot rely only on the results of objective measuring to understand such spaces for planning. If so, their attitudes towards urban spaces could not be an appropriate guide for explaining the quality of life for urban residents.
کلیدواژه ها:
نویسندگان
Ahmad Esteghlal
Ahmad Esteghlal , Ph.D. Candidate, Department of Art and Architecture, Yazd Branch, Islamic Azad University,Yazd, Iran
Zahra Fotouhi
Zahra Fotouhi , Department of Art and Architecture, Yazd Branch, Islamic Azad University,Yazd, Iran
Mehdi Montazerolhojjah
Mahdi Montazerolhodjah , Assistant Professor, Faculty of Art and Architecture, Yazd University
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :