نشبریه آمایش فضا و ژئوماتیک
سال بیست و هشتم شماره 2 (پیاپی 124، تابستان 1403)

Today, the development stimulating projects are one of the new strategies in urban development. The purpose of this research is to investigate the spatial effects of the development-stimulating projects of the Symbolic Square around Mobarakeh's Old Bazzar before its implementation in four social, economic, physical, and environmental dimensions. The statistical population of the research is the residents of the worn-out texture of the city of Mobarakeh. Using the Cochran formula, the sample size was 384 people, of which 400 people were selected for more reliability. The type of research is applied in terms of purpose and descriptive-analytical in terms of method. The tools used for the analysis are GIS, SPSS, and AMOS software. The findings from the analysis of the research path showed that the spatial effects of the development-stimulating projects of the Symbolic Square around Mobarakeh's Old Bazzar in the economic and sociocultural dimension jointly with the beta value (β = 0.99) in the physical dimension, with the beta value (β = 0.85) and in the environmental dimension, with beta value (β = 0.65), and the significance level (0.000) -- are confirmed. The results of the research depicted that the development- stimulating projects of Symbolic Square in the economic aspect of the attraction of investors, in the socio-cultural aspect, led to an increase in the mental health of the residents, and in the physical aspect, it led to the improvement of the quality of constructions in the context.

The deficiency of surface water in arid and semi-arid territories has exacerbated the dependence on groundwater resources, resulting in considerable reductions in groundwater levels. This phenomenon has been particularly pronounced in numerous plains throughout Iran, where the diminution has exacerbated issues related to land subsidence. A comprehensive understanding of groundwater level variations is imperative for enhancing water management strategies and alleviating the associated hazards. A range of statistical, mathematical, and machine-learning methodologies have been utilized to model the dynamics of groundwater aquifers. Recently, deep neural network algorithms have gained prominence in the investigation of surface and groundwater resources, particularly in light of the spatiotemporal characteristics inherent to groundwater. In the present investigation, a hybrid spatiotemporal data mining framework, denoted as Wavelet-PCA, was employed to analyze data acquired from 44 piezometric wells situated in the Qahavand plain over a span of three decades (1988-2018) for the purpose of elucidating temporal and spatial patterns associated with fluctuations in groundwater levels. Subsequently, a sophisticated deep recurrent neural network architecture incorporating Long Short-Term Memory (LSTM) was implemented to model the time series data resulting from the data mining procedure. Various degrees of wavelet transformation were applied to effectively capture the intricate trends in groundwater levels. The LSTM model exhibited a coefficient of determination (R²) of 0.85 for the training dataset while achieving an R² of 0.62 for the testing dataset. The research additionally examined regional patterns of land subsidence utilizing radar interferometry data obtained from the Sentinel-1 satellite during the period from 2014 to 2019. The results revealed an average maximum subsidence measurement of 9 centimeters, with the most pronounced subsidence noted in regions that are undergoing the most substantial declines in groundwater levels. This observed relationship between groundwater depletion and land subsidence underscores the necessity for judicious land use planning and the implementation of effective water resource management strategies in analogous regions.

Numerous urban centers within the nation are contending with the predicament of compromised urban fabric. Tackling this challenge necessitates the development of an innovative model capable of leveraging the comprehensive potential of society through interdisciplinary collaboration. Consequently, this investigation emphasizes the significance of effective urban governance in the revitalization of degraded urban fabric. This scholarly inquiry evaluates the influence of sound governance on the rejuvenation of dilapidated and ineffective urban fabric within the Nematabad locality. The research design integrates both quantitative and qualitative methodologies (mixed-methods) and is fundamentally applied in nature. Initially, the MAXQDA software was employed to discern indicators (qualitative analysis). A comprehensive total of 13 dimensions and 40 indicators were delineated to evaluate the ramifications of effective governance on the restoration of compromised urban fabric. The collected data was subsequently scrutinized within the SPSS environment utilizing single-sample T-tests and Kendall's coefficient. The results of the T-test indicated that the mean for all indicators of effective urban governance, with the exception of the place attachment indicator (3.030), was below the average threshold. This outcome implies that the Nematabad locality does not exhibit a favorable condition relative to effective urban governance metrics. Furthermore, the findings from the Kendall test disclosed a significant association between the indicators of effective urban governance and the rejuvenation of deteriorated fabric in Nematabad. The most pronounced positive and direct effects were noted in the environmental-ecological indicators (0.270), cultural-social indicators (0.227), and physical-spatial indicators (0.186), whereas the economic indicators exhibited no significant impact, evidenced by a Kendall coefficient of -0.047. In light of these findings, it is advisable that governmental initiatives be directed accordingly.

The rural guide plan, as a comprehensive development plan and the most important tool for managing rural development in Iran during the last four decades, emphasizes the preparation and implementation of projects that are all aimed at rural development, with the approach of limiting physical changes in the development of villages. The present study deals with the damage of the rural conductor plan by dividing it into four preliminary stages, preparation, approval, and implementation. The research method is applied in terms of objective and descriptive. In this study, 30 questionnaires were completed in the preliminary stage with the help of rural guide plan consultants, 48 ​​questionnaires were completed in the preparation and approval stage with the help of rural consultants and experts, and 159 questionnaires were completed in the implementation stage with the help of rural people and experts, and a total of 285 questionnaires were completed. Became To identify the damages of the implementation phase of the rural guide plan in 6 villages in Mashhad County, which have been implemented for at least 10 years; It was chosen randomly. In the pathology of the preparatory stage of the rural guide plan, 18 identified injuries were placed under the two injuries of "theoretical approaches" with an average of 3.83 and "methodology" with an average of 3.8. Also, the exploratory factor analysis of 27 injuries identified in the plan preparation stage was reduced to 9 injuries with a 71.2% variance. The most important harm of this stage is "not paying attention to the real needs of the villagers" with a 19.63% variance. At the plan approval stage, 26 identified damages were placed under 9 factors with a 68.36% variance. The most important harm of this stage is "the diminutive role of village councilor and village council in the approval meeting" with a 15.9% variance. In the implementation phase, 23 injuries were placed under 8 factors with a 63.4% variance. The most important damages in the implementation phase of the rural guide plan are "unprincipled, incomplete, and half-completed project abandonment" with a 17.5% variance. Solving the identified challenges gives higher-level managers the possibility to formulate and plan an effective and beneficial plan by identifying the weak points and fixing them.

Given the pivotal role of tourism in the economic framework of localities, a conceptual paradigm is requisite to underpin a research agenda aimed at the co-implementation of tourism and net-zero policies. This investigation aspires to elucidate the intricate relationship between urban tourism and the planning of net-zero cities by concentrating on tourists and tourism operators as pivotal stakeholders in the decarburization initiatives of urban environments; a process that appears inherently paradoxical. Indeed, should this process be actualized, it is imperative to ascertain the prospective outcomes for touristic cities and fundamentally, how these two seemingly antithetical categories can be harmonized. Notwithstanding the significance of such a comparative analysis, a limited number of scholars have ventured into this domain. Consequently, the current research was executed in a descriptive and analytical manner to elucidate some of the obscured facets of this field. The requisite data was amassed utilizing survey and field methodologies. To facilitate data collection, a researcher-developed questionnaire was employed, grounded in the strategies for achieving zero-carbon cities and the regulatory frameworks governing the tourism demand sector, alongside the interaction of urban management with these advancements. Prior to the practical application of the questionnaire, it underwent a thorough evaluation concerning its validity and reliability. Based on the evaluations provided by experts in tourism, urban management, and policymaking, as well as a Cronbach's alpha coefficient of 0.80, the suitability of the questionnaire was affirmed. The data procured through this methodology were subjected to analysis utilizing SPSS software, employing correlation tests and multivariate regression analysis. The findings indicated that the efficacy of tourism development on carbon emission efficiency is primarily contingent upon direct effects. Conversely, the implementation of policies pertaining to carbon-neutral cities significantly impacts the volume of tourists and the duration of their stays. However, if these policies align with the preparedness of urban management to execute appropriate strategies in the demand sector (Acceptance, Accessibility, Adjustment, Aid, and ‘Attractiveness), it not only does not yield adverse effects on the influx and presence of tourists, but also serves to fortify the tourism sector.