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Using Spatial Justice in Spatial Distribution of Health Services in Iranian-Islamic Cities, Case Study of Urmia

کلیدواژه: Spatial Justice,Health Services,Islamic Iranian City,Urmia City

نویسندگان: SAFARI K., ABDOLLAHZADEHTARAF A., Moosavi M.S., Faramarzi Asl m.

ناشر: تحقیقات جغرافیایی - GEOGRAPHICAL RESEARCH

Aims The present study aimed to evaluate the Spatial distribution of health services, the extent of access of citizens and vulnerable groups to health services as a case study in the City of Urmia. Methodology The present descriptive-analytical research was conducted in 2020 in Urmia, Iran. The requ... ادامه

سال:2021

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Evaluating the Status of Economic Indicators in Realizing the Spatial Justice of Parks and Green Spaces, Case Study: Bandar Abbas City

کلیدواژه: Sustainable Development, Spatial justice, Economic Iindexes, Green Spaces, Bandar Abbas

نویسندگان: Salehi Esmaeil, Karimi Saeed, Heydari Omid

ناشر: پژوهش های بوم شناسی شهری - BIANNUAL JOURNAL OF URBAN ECOLOGY RESEARCHES

The main goal of this research was to evaluate the status of economic indicators in the realization of Spatial justice of parks and urban green spaces. The method of current research is based on a valuational-analytical method and the statistical community includes three regions of Bandar Abbas City... ادامه

سال:2023

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Social Justice Criteria in Islamic City. . .

کلیدواژه: Justice,Social Justice,Islamic city,Criteria,city

نویسندگان: KALANTARI ABDOLHOSEIN, Bakhshizadeh Hassan

ناشر: نظریه های اجتماعی متفکران مسلمان - Journal of Social Theories of Muslim Thinkers

Social justice is one of the basic principles of the Islamic religion that should be implemented in the society and the Islamic City. However, there is an increasing gap between the notion of social justice and the lack of social justice in life in the City. The Islamic City is a marker, indicating ... ادامه

سال:2020

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Hybrid Model of Forecasting Domestic Tourism Demand of Tehran City

کلیدواژه: Regression,Adaptive Neuro-Fuzzy Inference System (ANFIS),Support Vector Regression (SVR) Algorithm,Medical tourism,Forecasting of Domestic Tourism Demand

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: گردشگری و توسعه - TOURISM AND DEVELOPMENT

In recent years, with the changing pattern of holidays and the formation of short-term holidays, cities have found the opportunity for tourism development. Four types of the most important types of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views... ادامه

سال:2019

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Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

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The Spatial Modeling and Analysis of Ancient Sites of Khonj County Using Hybrid AND-GIS Analysis

کلیدواژه: Modeling,Spatial Distribution,Archeology,Khonj County,Gis

نویسندگان: Rezaee khongi Moslem, Bahramzade Mohammad, Khamseh Hayedeh

ناشر: INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS - INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS

In the new thinking of the scienti c and academic community of Iran, applying science and guiding it to meet the fundamental needs of human society is one of the most important tasks. The identi cation of these phenomena with the help of GIS theoretical Spatial sciences leads to the identi... ادامه

سال:2020

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Developing a Hybrid Resilience Model for Urban Water supply Networks Case Study: Babol City

کلیدواژه: Resilience assessment, Passive Defense, water distribution network, IRAM, ERASMUS

نویسندگان: Mohammadpour Zahra, Nekooie Mohammad Ali, Zakeri Khatir Hadi

ناشر: پدافند غیر عامل

Water supply networks are considered one of the most vital infrastructures of a country, as they fulfill the fundamental biological needs of humans, industries, and urban centers. Even a short-term disruption in their performance can lead to severe economic and social consequences due to their criti... ادامه

سال:2025

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Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption Prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and Wastewater

The prediction of water consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

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Long-Term Rainfall Estimation in Anzali City Using the Hybrid Wavelet-Adaptive Neuro-Fuzzy Inference System Model

کلیدواژه: Rainfall,ANFIS,Wavelet,Sensitivity analysis,Simulation,Anzali city

نویسندگان: PASANDIDEH IRAJ, IZADBAKHSH MOHAMMAD ALI, SHABANLOU SAEID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Recently, the amount of rainfall underwent serious changes in different areas, particularly in arid and semi-arid regions. Therefore, estimation and pattern recognition of rainfall in a long term period can give sufficient information to hydrologists and water engineers. In this study, for the first... ادامه

سال:2019

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