Publication Date: 2022
South of Russia: Ecology, Development (24130958)17(2)pp. 140-149
Aim. Considering the high capability of Ilam province in the development of health tourism as indicated in its active border crossings with Iraq and the response to the recent epidemic, it was deemed necessary to identify the risks of air pollution on the health of tourists. Materials and Methods. During 2008-2018, data on five primary air pollutants during 2008-2018 were identified by literature research and by referring to the relevant monitoring organizations. Data analysis was performed by the Full permutation polygon synthetic indicator model, while Excel and MATLAB software were used to display data. Results. The findings of the study revealed that despite the application of the Land Use Planning Document, average suspended particulate matter of less than 10 microns ranked second after sulphur dioxide (SO2), in terms of the contribution to air pollution and instability in Ilam City during the 11 years in question (excluding 2008 and 2009). Conclusions. The link between air pollution and the development of health tourism on the one hand and the emergence of an epidemic on the other has recently necessitated a new concept of health, tourism and welfare in relation to the environment with the aim of achieving a healthy environment for visiting tourists. © 2022 The authors.
Publication Date: 2021
Sustainable Development of Mountain Territories (19984502)13(3)pp. 352-370
Introduction: Considering the significant position of medical tourism industry in global economy as well as Iran's capabilities in this industry, the present research was conducted so as to compile the determinants of medical tourism development and present its respective strategies taking the approach of health village expansion and integrated service provision in Health Region No. 9 (Razavi Khorasan province). Methodology: This research was conducted by combining the qualitative and quantitative techniques. Data collection was done by content analysis followed by an interview and a survey administered to a number of key experts. Data were analyzed by MAXQDA-18, Expert Choice11 and Excel software and SOWT, fuzzy DEMATEL and AHP techniques. Findings: In this study, a framework of indexes was compiled and evaluated selected from different aspects taking the approach of service integration and destination competitiveness in the form of health villages. In the next phase, the status quo of Mashhad was categorized into 38 internal and 31 external factors to be prioritized. In the end, considering the identified factors and their interrelationships, the most important strategies were extracted and prioritized. Conclusions: To create a sustainable competitive market and attract more medical tourists, revealed that the respective authorities need to pay due attention to this issue proportionate to the indexes and strategies envisaged in the compilation, designing and implementation of policies and plans related to Mashhad's medical tourism development in moving towards the creation of competitive advantage in an integrated way and promotion of medical tourism by focusing on the prioritization performed for the healthcare system. © 2021 North Caucasian Institute of Mining and Metallurgy, State Technological University. All rights reserved.
Publication Date: 2020
Urban Research and Practice (17535069)13(1)pp. 45-76
To green space site planning, this paper deals with ‘Regional Park site planning’, and presents a concept of ‘criteria screening and selection’. Through a three-stage decision support system, this paper, firstly, identifies general criteria for green space site planning and then comes up with specific criteria for Regional Park site planning within Shiraz metropolitan area. The paper contributes to the literature by improving the existing approaches of criteria selection, and points out that the list of selection criteria aggregated from literature should be adapted to case specific characteristics before being used to select a new location for public green spaces. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Publication Date: 2017
Planning Malaysia (16756215)15(3)pp. 193-208
In countries such as Iran, which cover a large geographical area, the issue of inequality and regional differences provide a substantial challenge in the effort to achieve balanced development. In this study, data were collected using documentary and survey methods as well as Delphi techniques, and analysis was carried out by combining qualitative and quantitative models. In the second step of the Delphi technique, a study of the impact of the factors on each other, and on the regional inequalities of the North coastal area, was made using the crossimpact method. In the final step, the effective factors contributing to the inequalities of the North coastal region were studied using analytical techniques and MicMac software. After analyzing the impact rate of the effective factors on regional imbalances, the key factors were identified and, finally, solutions to reduce the regional imbalances of the North coastal area were proposed.
Publication Date: 2017
Planning Malaysia (16756215)15(3)pp. 13-26
Despite being in existence for over seven decades, spatial planning policies in Iran have not been implemented and no serious volition to adopt their general approaches was observed. This study identifies the effective factors of the spatial planning implementation approach in the macroregion around south Alborz. By adopting the Delphi technique, a cross-impact matrix and data analysis using MICMAC software, the impact of these factors on the non-implementation of spatial planning in Iran was investigated. The results show that the existence of a central planning system, the dominance of economic and sectoral planning, the lack of integrated land-planning system are among the effective factors in the spatial planning approach in Iran. Therefore, suitable solutions to eliminate the drawbacks are proposed.
In modern remote sensing procedures, one of the most important issues is to distinguish specific types of land coverage. Discrimination between different land coverages especially in metropolitan surveying is so important that the in front civilization projects are basically dependent to them. In this paper, an innovative image processing strategy is employed for distinguishing green lands from other metropolitan areas in aerial imaging. The main purpose of this project is to audit green land areas, either public or private, for forthcoming municipal projects. The proposed method is constituted of four main stages. In the first step, the acquired aerial video frames, even in or offline modes, are converted into static images. In the second and third stages, two distinct pre-processing stages are deployed. The output of these two preprocessing stages is segmented into two parts comprising of green land and other urban areas. The evaluation and experimental results demonstrate the fair and applicable performance near 90% (86% in average) in F-score criterion. © 2017 IEEE.
Publication Date: 2011
Australian Journal of Basic and Applied Sciences (19918178)5(8)pp. 720-728
Regional disparities of human development within many developing countries like Iran are serious obstacles to their integrated development. To adopt efficient policies in order to reduce existent disparities, it is necessary to measure development level of regions in the status quo. In this way, Human Development Index (HDI) is one of the efficient and widely used methods to measure human development of regions and countries. The aim of this study is to investigate sub-provincial disparities of human development in Iran. Meanwhile calculating HDI, this paper addresses two criticisms on HDI including substitution possibilities between its three indices and its common application at aggregated levels which may conceal wide regional disparities and blur the picture of human development within a country. To overcome these shortcomings, it was defined a simple set of fuzzy rules to determine the development level (DL) at sub-province level. Fuzzy classification of DL considerably reduces the substitution possibilities between individual components of HDI and directly reflects the effect of each component on overall DL, and analyzing human development at subprovince level reveals interregional and intraregional disparities more precisely. Based on suggested fuzzy classification, it was defined seven categories for DL including: very high, high, medium-high, medium, low-medium, low and very low. Results showed that a large number of sub-provinces lie in the lower levels of development, and revealed very stark differences of human development among sub-provinces. This study highlights the importance of reducing disparities in Iran to pave way for greater national integration and sustainable development.
