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.

Despite having abundant wealth, power, and resources and making great efforts to bring about regional balance, there is a deviation from spatial equality in Iran’s structure, which has led to the establishment of center-periphery structure as the dominant model in Iran. This structure has been created due to many factors, forces, and currents. Therefore, the purpose of this study was to present a theoretical model of spatial inequality in Iran using Lynham’s theorizing method. There were five steps in the application of this method. In the first method, i.e., conceptualization, the theoretical model was developed using meta-synthesis method and MAXQDA software. The obtained model entailed a host of concepts and components. These included  context-based  theory-driven discourse, centralization and making the periphery dependent, the reverse results of development plans, unequal power relations, inequality of benefits and wealth (economic inequality), inappropriate policymaking and management, weak local and regional management as opposed to central power, unbalanced distribution of population and activity in geographical spaces, and unbalanced distribution of natural resources. These concepts, grouped into ideological, economic-political, and contextual discourses, have created spatial inequality and center-periphery relationship in Iran.

As one of the most important and influential urban planning approaches, comprehensive plans can be considered from the different and relevant dimensions and aspects such as the planning system, the content of plans, preparation-approval process, and execution procedure. Hence, this research focuses on the reasons for the inefficiency of comprehensive plans, especially concerning the nature and the substance of this urban planning approach. To this end, in addition to reviewing relevant theories and views, objective instances of the mentioned reasons have been pursued. Therefore, Nowshahr’s Comprehensive Plan was assayed for the ex-post evaluation of plan implementation to assess its efficiency and feasibility in certain aspects, including social and physical dimensions. Following a linear and one-way procedure, inflexibility and lack of realism, single vision and mostly physical solutions, providing too many details based on static and solid frameworks, and the impossibility of accurate predictions are the substantial critical reasons for the inefficiency of urban planning based on comprehensive plans approach. These factors are the challenges that Nowshahr’s Comprehensive Plan also suffers from them identically. The unrealistic approach in determining the city limit, an incorrect policy of using open spaces and increasing density in contradiction with the ecological, touristic, and port nature of the city, failure to realize most of the proposed land uses, and consequently, a severe shortage of service spaces, are among the most apparent objective instances regarding the inefficiency of Nowshahr’s Comprehensive Plan according to the mentioned substantial reasons. Considering the reasons for inefficiency and analysis of the objective instances are an essential strategy that can differentiate the substance of urban plans, especially ones prepared based on the evolution in urban planning and substitution of new approaches, from the old and traditional cases and make them successful more than before.

The usefulness of many forms of spatial studies relies on the nature of the topics under study. Geographers and urban planners have a long-lasting tradition of studying the data derived from spatial issues at regional and urban levels. Nonetheless, no standard has been offered so far on the provision of statistical results in the form of spatial units. Therefore, the results of the previous studies in this field have been influenced by the scale and zoning effects. The purpose of this study was to analyze the effect of scale and zoning on the spatial unit results. To this end, the rural areas located in the southern parts of West Azerbaijan province were selected. This study adopted the critical positivism approach and used quantitative data collection and analysis. Moreover, this research project was descriptive-analytical in terms of method and applied in terms of purpose.  The statistical population of the study included 1143 villages with an overall population of 418948 in 9 southern cities of West Azerbaijan province. The study was done using 8 indices of rural services, which were composed of 77 indicators in total. Then, the effect of scale and zoning on the results was analyzed. The results showed that the value of Moran’s statistic related to the overall index of rural service distribution level has been 0.39 at city, 0.06 at rural district level, and 0.05 at village level. Accordingly, the distribution of rural services has been clustered at the city level, but has been random at rural district and village levels. Moreover, the results of the rural services overall index was 15.09 at city level, 10.88 at rural district level, and 2.31 at village level. This shows that by changing the spatial unit scale, the results of the spatial distribution of services has totally changed. This finding is true for zoning, too; with a change in the zoning pattern, the results of spatial units have changed. These findings show that the nature of rural service distribution alters with the change in the scale and zoning models.

The growing role of science and technology in economic development makes the necessity of policymaking and planning for the science and technology system more important. In line with centralized, top-down planning approaches to science and technology policymaking, the spatial planning approach is a bottom-up effort to identify regional capacities and potentials in order to provide an endogenous and balanced model for the development of science and technology. Although the spatial planning approach in its general form has a multi-decade history in the planning literature, the optimization of this approach in the science and technology governance needs methodological innovations. The purpose of this study was to provide a science and technology spatial planning methodology using institutional mapping. To this end, we used two cross-sections. On the one hand, we took into account innovation within a regional system, and on the other hand, we adopted the institutional mapping to attain a method for its analysis and estimation. In this system, first the institutions of the science and technology institution including the science institution, the technology institution, and the market institution were identified, and then the interconnection capabilities of these three institutions and their subsidiaries were evaluated. This was done through the extraction of the similarity graph. The similarity graph, which was obtained through the quantification of binary relationships of the science and technology system sub-institutions, expressed the diversity and intensity of the connections of each institute with other institutes. The more diverse and intense the relationships among the institutions were in general, the more optimal the science and technology system would be. Ultimately, observing this graph, the policymaker can design a scenario for moving toward regional balance for each of these institutions so that in the predetermined chronological horizons, the institutional proximity is increased and the agreement and accord of the institutions are enhanced.

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.

As the distinguishing boundaries between upper and lower levels, regional plans and programs have an effective role in bringing about coordination between planning levels and improving their effectiveness and functioning. Due to the importance of planning and the results obtained from regional programs, the study at hand set out to examine plans at national, regional, and provincial levels based on regional approach with an emphasis on Gilan province plans. In this study, qualitative research method was used, and to classify the existing knowledge, the required data was divided into research analysis units, namely the plans and programs at the three foregoing levels. These were then analyzed using content analysis and document analysis methods in NVIVO 12 software. After data analysis, 96 open codes were achieved. The homogeneity of the open codes of each of the three levels led us to extract the main axial code titled “region-oriented approach in plans and programs at national, regional, and provincial levels” along with three other secondary axial codes, namely “holism and movement toward abstract and stereotypical concepts and issues,” “regional plans following macro plans,” and “lack of a regional decision making mechanism at the province level.” It is noteworthy that the highest regional approach presence was found at province level with 49 open codes.

The sustainable physical-spatial development of Mashhad urban complex is the prerequisite of attaining sustainable regional (provincial) and national development. This necessitates paying attention to the development of scenarios that set the ground for the development of Mashhad.  In the study at hand, it was tried through the participation of the provincial managers and academic experts to identify first the key drivers of physical-spatial changes in the rural settlements of Mashhad urban complex and then the scenarios effective on the physical-spatial development of these settlements. This study was applied in terms of purpose and descriptive-analytical in terms of research method. The data was collected through library research, document analysis, and survey (interview) methods. Examining scientific resources, 69 factors effective on the physical-spatial changes were identified, which were grouped into five dimensions. Then, 29 participants in two groups, namely the managers of the related organizations and academic experts, were interviewed. Data analysis was done based on future research techniques, including Schwartz model, structural analysis, and interaction analysis, using Micmac and Scenario Wizard software packages. The results showed that 512 scenarios have weak compatibility, and only one scenario has strong, sustainable compatibility (zero incompatibility) (2.8 percent of possible scenarios are credible). The first scenario, which is in positive direction, has the overall interaction effect score of 771 and compatibility value of 7, while the second scenario that expresses the fairly favorable conditions for the future of rural settlements has the overall interaction effect score of 736 and compatibility value of -2. The third scenario, which has the compatibility value of -3 and the overall interaction effect score of 695, can be one of the possible scenarios for the future physical-spatial changes in rural areas, too.

City Development Strategy (CDS), which aims at reducing poverty, bringing about sustainable development, enhancing participation, and creating good urban governance, has attracted the attention of many Iranian scientific circles. This approach can replace the previous inflexible plans for the removal of the future crises in all cities of Iran. It is clear that in case the novel city development strategies are not used and the old methods and policies are exercised, the problems of Iran cannot be solved. The main purpose of this study was to investigate the current status of Malard city using Meta SWOT model and to propose effective strategies to achieve sustainable development of this city. This study was descriptive-analytical in terms of research method, applied in terms of purpose, and mixed-methods in terms of approach. The statistical population was comprised of 50 managers of Malard city. Based on the obtained results, the reduction of water resources, excessive migration (especially the increase in the share of Afghans in city population composition), and social harms are the main obstacles to the sustainable development of Malard city that need to be taken into account in the strategic development planning process of this city. Moreover, among the factors effective on the sustainable development of Malard city, the suitable grounds for agricultural activities and   conversion and complementary industries as well as ethnic and cultural diversity have strategic fitness.

The main purpose of this study was modeling the suitability of recreational services in order to identify the high-priority areas for the development of recreational activities. To identify the spatial patterns of recreational services, the landscape attractiveness index, visit rate estimation, and access distribution were combined using a set of sub-indices. Moreover, the weight of each index was calculated using CRITIC weighting method and the importance of each index in the formation of recreational services spatial suitability was determined. The results showed that the presentation of highly recreational services is mainly done in the areas with forest ecosystems, protected areas, and aquatic ecosystems such as rivers and wetlands that have diverse landscapes. On the contrary, urban and human-built areas have the least potential for the provision of recreational services. Getis-Ord Gi* statistic was used to model the recreational suitability, identify recreational suitability clusters, and zoning. With its very low suitability, Zone 1 covers 19.9 percent of the area under study. This zone is mainly filled with agricultural lands (54.7%), grasslands (36.1%), and urban lands (6.8%). In contrast, with its very high recreational suitability, Zone 5 covers 16.5 percent of the area under study. The main uses of the lands in this zone are forest lands (55.5%) and aquatic layers including rivers and wetlands (17.2%).  Zone 3, which has an average suitability rate, covers more than half of the area under study. The approach presented in this study helps identify the development priorities in the light of the recreational potentials of the ecosystems existing in an area. Thus, it can be used to improve the spatial planning of recreation and tourism in order to preserve ecosystem services and sustainable use of them.