نشریه آمایش سرزمین
سال چهاردهم شماره 2 (پاییز و زمستان 1401)

It has been years since innovation was first introduced as a driver of economic development. In addition, after a decade of attention to the regional innovation system policies in the Yazd province, this approach has not shown any positive effect on the development of the province. Thus, this study set out to provide a suitable model for the regional innovation system development in Iran following the investigation of the Yazd province as a case study. To this end, this study used the exploratory factor analysis and relative importance index to identify and analyze the key factors effective on the development of regional innovation system. The findings obtained from the opinions of experts and actors of this field showed that the three factors of human resources; the Science and Technology Park; and growth, innovation, and creativity centers in Yazd Province have the highest importance among all studied factors. This reveals the concentration of finances, policies, and projects on these factors and ignorance of other factors. In the light of the importance and the designated priorities, the factors of innovation system in Yazd province were classified into five groups. These included human and social resources, innovation infrastructure, innovation processes, business dynamics, and endogenous development. It can be concluded that so far, the concentration has been on the elementary stage of regional innovation system model – which essentially functions as the input for the system – and the innovation system in Yazd province is in its early stages. Accordingly to the obtained model of the study, the regional innovation system development in Yazd province needs concentration on the three groups of factors, i.e., innovation processes, business dynamism, and endogenous development.

Sustainable development has gradually and over time brought about various approaches with different goals. Ecological city is one of these approaches that has a stronger emphasis on environment issue as well as the relationships between city development and nature. The purpose of this study was to determine the local factors effective on the achievement of ecological city in order to sustainably develop Darcheh city. This study was mixed-methods (qualitative-quantitative) in terms of paradigm, and descriptive-analytical and exploratory in terms of nature. Data was collected using document analysis and field study through two means: interviews with experts using the Delphi method and a questionnaire. In the qualitative phase (the Delphi method), 30 experts and specialists were interviewed. In the quantitative phase, the statistical population of the study was comprised of Darcheh citizens aging over 15, who were 37367 individuals in the year 2016. From among these, 375 participants were selected using cluster sampling. The face validity of the questionnaire was confirmed by the urban planning experts, and its reliability was corroborated through Chronbach’s alpha coefficient. The results of the study in both phases (qualitative and quantitative) showed that the environmental and economic dimensions – with the average scores of 4.23 and 4.11 and (beta) regression coefficients of .345 and .349 – best describe the achievement of ecological city, there is a relative homogeneity among various neighborhoods of the city in terms of ecological city indices, and the ecological city development can be attained through a clear model. Moreover, according to Pearson correlation coefficient, the citizens who have had a higher educational level have shown a higher tendency (.585) to help implement the ecological city project.

One of the policies that has been taken into account by many countries to develop sustainable tourism is the development of touristic towns and villages in a centralized manner and the prevention of haphazard, unplanned contractions that destroy environment, sociocultural context, and economic structure of the touristic attraction sites. This policy was enacted by the Iranian cabinet in 2017. The purpose of this study was to present a methodology to identify the spaces suitable for the development of touristic towns and villages. The study was applied in terms of purpose and descriptive-analytical in terms of methodology. As the input of the analytic model, the spatial territory of Mazandaran province was divided into 23007 spatial units, each covering 100 hectares. Then, the development of touristic towns and villages were evaluated and prioritized. In this article, the combined index of “the priority of the development of touristic towns and villages in Mazandaran province” was made by combining exploratory factor analysis and network analysis (F’ANP) based on 14 factors effective on the development of touristic towns and villages. The resulting map was then trimmed based on four control indices. The findings of the model showed that the three factors of “environmental potential and transportation infrastructure,” “the quantity and quality of serving the tourists,” and “tourism investment potential” are effective on the prioritization of Mazandaran province spaces in order to develop touristic towns and villages. The results of study demonstrated that the development of touristic towns and villages in this province is possible in the middle and eastern side of seashore, in limited areas in the eastern plains, and in the eastern and western mountainous lands.

The development of urbanization in accordance with environment is an important issue for sustainability. A correct understanding of the relationship between urbanization and environment is highly vital for the coordinated development of both systems. In recent decades, the expansion of urbanization and manmade infrastructure without taking into account the environmental resources has been increasing. This has led to numerous consequences such as the reduction of environmental resources and the escalation of environmental pollution, and has severely endangered the future of sustainable development in Khorasan Razavi province. In the study at hand, the balance among urbanization and environment subsystems was examined using the coupling coordination degree model in the cities of Khorasan Razavi province. The ranking of cities was done based on the coupling coordination degree scores. Based on the scores of cities in each subsystem, the cities were divided into four areas, namely areas under urbanization pressure, areas under environment pressure, areas under dual pressure, and areas under no pressure, and the relationships between the coupling coordination degree and the areas were compared. The results showed that Gonobad (.66) and Dargaz (.62) cities have achieved the highest balance score and have been classified in the primary balance group. On the other hand, Khoshab (.36), Mahwelat (.38), and Davarzan (.39) cities had the lowest rate of balance and were classified in the average imbalance group. While the majority of the cities located in the areas under double pressure and environment pressure were classified in the low imbalance group, most of the cities located in the areas under no pressure and urbanization pressure were grouped in the near-to-balance category. Overall, based on the calculations made in this study, the coupling coordination degree has been increasing from dual pressure area to area under environmental pressure, then to the area under urbanization pressure, and finally to the area under no pressure.

After the implementation of the contemporary knowledge and innovation spaces as the driver of economic growth and the long-term development of cities and regions, this idea has come under criticisms, especially due to its compliance with capitalist structures. In practice, the problem is that the attractiveness of life, work, and recreation in these spaces is purely accompanied by the consideration of the needs of creative layers of society with a mercantilist view and through sacrificing many primarily qualitative and secondarily contextual indices. Therefore, although these recently found arenas have received positive global attention, they face some challenges. One of these challenges is the low quality of places in the neighborhoods entailing contemporary knowledge and innovation spaces. Therefore, the purpose of this study was the attainment of qualitative factors of the placemaking mechanisms and urban policymaking of contemporary knowledge and innovation spaces as well as the development of the existing conceptual framework to respond to the criticisms in this regard. The research method was the qualitative and quantitative content analysis of the related documentary data and provision of an answer to the nature of the palcemaking factors using unlimited classical meta-analysis of Persian and English resources, including the scientific-research articles, theses and dissertations, books, and reports, and then coding and counting the frequency of the analysis units. At the end, the meta-analysis of the resources led to the identification of 21 conceptual labels for contemporary knowledge and innovation spaces in the form of four dimensions of characteristic, form, performance, and image. Consequently, it seems that consideration of the requirements of placemaking the related spaces – including accessibility, participation, investment, acceptance, social liveliness, dynamism in activities, and integration – can help increase the quality of knowledge and innovation spaces in the contemporary era.

In recent years, the infrastructure systems have been mostly failed due to the increase in natural or manmade disasters as well as the internal and external dependencies among system components. The mutual infrastructure dependencies might cause more vulnerability and bring about cascading failures. The main objective of this study was to develop scenarios of geographic interaction in critical infrastructure during urban hazards in Ahvaz. The study was developmental-applied in terms of purpose, while in terms of methodology, it was descriptive-analytical done based on field study and document analysis. The study indices were extracted and related via combining the results of expert opinion and existing records. To develop scenarios, after identifying the variables, the key factors affecting each topic were specified, and then various conditions were defined for each variable. The identification of driving forces in Ahvaz infrastructures interaction was done using models such as “cross-impact analysis” using MICMAC software. In order to identify, analyze, and adopt selected scenarios, cross-impact balance analysis was run in ScenarioWizard software. The inspection of scenario screen in ScenarioWizard software showed that from among 80 existing settings of critical infrastructure spatial interaction drivers, 26 cases (32.5 percent) were in statistic form and 25 cases (3.125 percent) in critical conditions.

The risk of earthquake always influences the human communities and inflicts irreparable damages to them. Therefore, preparation against this crisis through the identification and elimination of vulnerable parts is effective in reducing the damages of earthquakes. As Iran is located on one of the two major seismic belts of the world and has many faults, the occurrence of earthquake in the Iranian plateau is natural. Iran is among the top ten countries with the highest rates of earthquakes. Urmia city, which is located on the skirts of Zagros mountain range, is not an exception in this regard, and every year many earthquakes with different intensities occur in this city. Therefore, in order to confront the foregoing issue, we need precise studies regarding construction and safety. In this study, to evaluate the rate of vulnerability to earthquakes, the effective parameters were identified and then were weighted using fuzzy hierarchical analysis. The vulnerability map was prepared using index and fuzzy logic overlay method for Urmia statistical blocks and was presented in the spatial information system environment. The obtained results indicated the vulnerability of nearly 50 percent of the city area to earthquake (i.e., 151574 m2), with .005 percent having a very high vulnerability grade and .40 percent (i.e., 11538359 m2) a high vulnerability grade to earthquake.

The disasters of recent years indicate that communities and individuals are getting increasingly vulnerable and risks are progressively growing. Nonetheless, the need to reduce risks and vulnerabilities are often ignored up until the occurrence of disasters. In the study at hand, which was done based on the descriptive-analytical method, it was tried to examine and predict the vulnerability perspective of the areas located within District six of Ahvaz metropolis during a potential earthquake based on the main purpose of this study. The theoretical data of the study was collected through library research method. After the extraction of the related indices, the spatial analysis of each index was carried out through fuzzy Delphi method, IHWP vulnerability model, and GIS software analyses. The analysis of the findings illustrated that considering the first and second priorities of the crises management, 15.03 percent of all areas of the district under study are highly vulnerable to earthquake. That is to say, in case of a strong earthquake in the district, they will be vulnerable. The study concluded that the physical qualities of the building are as important as the factors such as land use, population density, and time of earthquake occurrence. These have all effective roles in the vulnerability rate and the rescue activities.

This study aimed at evaluating the supervised pixel-based classification of the maximum likelihood in the examination of the climactic changes of the Urmia Lake catchment area in 1-, 6-, 10-, and 14-year spans and then evaluating and modeling the changes in the gardens neighboring Lake Urmia during a 30-year span and its role in the changes at Lake Urmia water level. In this study, first the Landsat images of the years 1990, 2000, 2014, 2020, and 2021 were downloaded. Then, using the ENVI5.3 software, a classification was made based on the maximum likelihood method. Next, the IDRISSI TERRSET software and CA-MARKOV model were used to model conditions for the year 2051. This model was then analyzed in the GIS software. It was found that the classification based on the maximum likelihood method has been an appropriate one. The results of this classification showed that overall, the maximum changes from 1990 to 2021 has been related to the irrigated gardens and fields. In this period, 3495 square kilometers have been added to these lands, i.e., the number has doubled. Modeling the 2051-year conditions in the light of the transition probability matrix showed that the maximum likelihood of land use changes is in the irrigated garden and farm use. On the other hand, the modeling in this study indicated that there has been a reduction in the expanse of irrigated gardens and fields as well as salt lands in the region. Finally, the model predicted an increase in water area in 2051.

The progress of smartening cities on the one hand and the requirements of urban sustainability on the other hand have paved the way for transition to the sustainable smart city. The study at hand was carried out to present an optimal model of smart city from the viewpoint of sustainable urban development. This study was an applied research project in terms of purpose and a cross-sectional survey in terms of research method and data collection timespan. The statistical population included urban management managers and experts. The optimal sample size was determined to be 384 using Morgan’s table and the participants were selected via simple random sampling method. The data was collected through a questionnaire that had been validated through construct, convergent, and divergent validity measures. Using Cronbach’s alpha and combined reliability measures, the dependability of the questionnaire was confirmed. To validate the smart city model from the viewpoint of sustainable urban development, the partial least squares regression and Smart PLS software were used. According to the obtained results, the smart urban infrastructure and smart governance are the two cornerstones of the model that have the strongest effects on the creation of a smart city based on sustainable development. The effectiveness rate is decreased in the subsequent levels and the variables at the same level show mutual interaction. By affecting the smartening of transportation and influencing the technology-based smart businesses, these factors lay support to smart economy and environment. Then, through smart structures and smart people, the sustainable urban development can be attained, which in turn leads to smartening the city.

The purpose of this study was examining the course of development of Qazvin urban area in order to optimize the decisions of related authorities to enhance sustainable spatial efficiency and exploitation. Through a meta-analysis, four urban area perspectives were extracted, including natural-cultural, administrative-political, functional, and communicative. This was then followed by a theoretical conclusion. GIS spatial statistics were used for the analysis purposes. The results indicated the presence of only the physical and political perspective. The administrative-political perspective of urban area (as the only formal area) and functional urban area (only in an informal manner) were identified as the urban perspectives of Qazvin. The investigation of the natural-cultural perspective of Qazvin urban area led to the identification of southern Alborz area, which based on water resources approximately conforms to the political borders of Qazvin province. Due to its use as a crossroads, this area does not have cultural coherence, and its closeness to the political capital of Iran has made its environmental conditions critical and has changed the role of this area. To solve these problems, it is suggested that first an ecological planning is done as the basis of spatial planning and development decisions. Moreover, due to the cultural inconsistency of Qazvin area, it is suggested to adopt creation of identity through regional governance. Moreover, the economic areas resulting from functionally connected areas should be enhanced and directed in the light of the ecological conditions of the area. Although the application of neo-regionalism viewpoint at transnational level is not possible due to the specific political conditions of Iran, its application in regional and local levels seems to be unavoidable in order to reduce ecologic crisis (water resources) and enhance identity creation in Qazvin urban area.

The vulnerability appraisal is one of the prerequisites of risk analysis in disaster management. Vulnerability to earthquake, especially in urban areas, has increased over years due to the existence of complex urban structures and rapid development. In order to take preemptive measures and reduce the damages of earthquake, the determination of vulnerable areas and implementation of necessary measures seem inevitable. Accordingly, the present study set out to examine the vulnerability of Tehran urban blocks via a location-base model. To attain this objective, first the criteria effective on the evaluation of earthquake vulnerability were divided into three groups, namely exposure, sensitivity, and adaptation capability (16 location criteria in general). Using the expert opinions and network analysis model, the importance of each of the criteria was determined. Fuzzy functions and ordered weighted averaging method were used to normalize the criteria map and develop vulnerability maps under various scenarios. Finally, the sensitivity analysis of the criteria was carried out. The results showed that vulnerable population density and average slope were the criteria with the most and least importance, respectively. The vulnerability maps demonstrated that the areas to the north of the area under study are in the vulnerable class under all scenarios. The stability and dependability of the output results were assessed using sensitivity analysis. The results indicated that changing the weight of the criteria does not have a significant effect on the model outputs, a finding that clearly proves the stability of the model.