فصلنامه برنامه ریزی فضایی (جغرافیا)
سال سیزدهم شماره 2 (پیاپی 49، تابستان 1402)

One of the important challenges in urban planning is the inappropriate distribution of urban service uses. The border city of Bandar Dair is no exception to this rule.

The purpose of this research is to measure social justice in the spatial structure of the border city of Bandar Dair with an emphasis on the spatial distribution of service uses. Research

In this regard, in the first step, the point position of nine groups of service users was layered based on the existing maps of the municipality. Then, each of the nine service uses was weighted using the Delphi method and experts' questionnaire. Finally, using the capabilities of the GIS (Euclidean Distance and Weighted Overlay), the spatial distribution of each service use was analyzed. Research Innovation: Conducting these studies has not been reported or published in the area, and for the first time, this type of study is being conducted in the city of Dair. It is innovative and new.

The results of the study show that the spatial distribution of administrative police use is suitable and the uses of urban, cultural, and therapeutic green spaces are poorly distributed. The general findings of the research show that in 58.9% of the area of the city of Bandar Dair, the distribution of services is at a good and very good level. On the other hand, 41.09% of the total area of the city has a medium to low distribution of public services. By examining the maps of the research, we realize that in the new areas of the city, a weak and very weak distribution has happened. In other words, as we move from the central area of the city to the outskirts of the city, the distribution of services tends to be weak and very weak.

The present study aimed to identify the effective drivers of place identity and sense of place with a futurology approach in Kandovan's ancient village. This is an applied study based on its objective, and it is analytic and exploratory in terms of nature, with a futurology approach. Data were collected using documents and libraries. Qualitative data were gathered with the use of open questionnaires and document reviews, and quantitative data were prepared numerically by weighting Delphi questionnaires so that indicators and components in different dimensions were first collected and then provided to executive and academic elites who specialized in architecture and planning to identify the most influential factors according to their expertise. The elites were then required to score the identified factors in the framework of the cross-effects matrix using values of 0-3, according to their effectiveness or being affected. Findings based on the state of the dispersion plane of the factors indicate the system instability, with most of the variables dispersed around the diagonal axis of the plane. In addition, given the high scores of the effective drivers and those directly affected, 39 out of the 59 variables considered were eventually identified as Mic Mac output, influencing the future identity and sense of place in Kandovan village. The results show that among the 39 driving variables, originality, identity of the village, having a prominent place in architecture compared to contemporary buildings and commitment to maintaining it, a sense of beauty in the village, rooting and belonging, having a diverse combination of form and activity, simultaneous response to all social, economic and cultural needs, and reminiscence over time were the most effective and important.

The aim of the current research is to analyze the spatial status of the subjective indicators of resilience in the informal settlements of Zahedan. The statistical population includes residents of three neighborhoods: Karimabad, Qasimabad, and Shirabad. The reason for choosing these neighborhoods is their high vulnerability to natural and human hazards. In order to realize the spatial dimension of the research, spatial sampling was used in such a way that the studied neighborhoods were divided into small zones using the sampling tool set and the create fishnet tool in GIS software, and a number of questionnaires were assigned to each zone depending on its population. The sample size was estimated to be 384 people, which was distributed according to the population of each neighborhood and each zone. Factor analysis tests and techniques, Pearson's correlation, one-way analysis of variance (ANOVA), and Sheffe's post hoc test were used to analyze the questionnaire data, and GIS was used to prepare the maps. The research results indicate that there is a significant difference in the researched neighborhoods in terms of resilience indicators. In addition, the spatial sense of belonging index has the greatest effect on the resilience of the studied area. The results of Pearson’s correlation show that in the two neighborhoods of Karimabad and Shirabad, the highest correlation was between the two variables of safety and health and the sense of belonging to the place. In the neighborhood of Qasimabad, the highest correlation was between the two variables of knowledge and individual skill and the improvement of the economic situation.

The concept of citizen participation is not new. Today, there is a greater desire to employ modern participatory technologies, with population or community-based strategies, such as participatory volunteered location-based crowdsourcing (VGIS) software to make the cities smarter. Because, in addition to being location-based, the system is voluntary and can simultaneously collect humans’ data. However, there is no precise understanding of how experts are going to execute this method in practice; thus, this study helps to fill this important research gap. The objective of this research is to determine the key factors that have a significant impact on the adoption and utilization of new volunteer crowdsourcing technologies, specifically location-based systems like volunteered geographic information (VGI), as a means of crowdsourcing in urban management, as viewed by both researchers and officials. The research, in terms of its practical goal and nature, is descriptive-analytical. In this study, two qualitative methods, Delphi and the quantitative survey questionnaire, were used sequentially and their results were combined. The results were analyzed using exploratory factor analysis by SPSS software to extract the main components. The research results show that, according to researchers, the most important and effective factors for the successful design and implementation of the voluntary geographic information system technology and its acceptance by citizens are citizens. However, according to municipal officials and experts, the most important factor is organizational and institutional factors, which refer to policy-making and legal support. In fact, municipal officials and experts believe that in order for citizens to accept voluntary location-based technology, the path should be determined by top-level officials first.

Climate change has had a significant impact on agriculture, especially in the low-income segment of society. Effective adaptation can increase the resilience of the agricultural sector and the level of food security in the face of climate change. The present study investigated the perceptions of farmers and government experts regarding climate change in the agricultural sector of Rostam City, Fars Province, its effect on agriculture, and adaptation to the observed trends. The adaptation strategy index (ASI) was used to prioritize strategies adapted to climate change, and the Krejcie and Morgan sampling method was used to collect responses from farmers (370 people) and experts (15 people). The validity of the answers was confirmed using Cronbach's alpha coefficient. The findings showed that the experts understood the main evidence and effects of climate change in the region. However, for farmers, hydro-climatic changes in water resources and precipitation were more tangible. They believed that this had a direct impact on income. Therefore, a large part of the studied community chose an adaptive strategy to save irrigation through modernization. Analysis of variance (ANOVA) showed that there was a significant difference between the views of the local community and government experts. This issue can be an obstacle to the implementation of climate change adaptation strategies in the region. In addition to prioritizing and creating awareness, the optimal performance of adaptive policies requires coordination, preferably through a collaborative approach, and overcoming conflicts between local communities and government authorities.

Problem statement: 

Ensuring sustainable development and measuring the well-being of a society heavily relies on maintaining and enhancing rural stability. This research study adopted a descriptive-survey approach to analyze the structural relationships between rural sustainability and four dimensions, drawing upon the theoretical foundations of W.G. Newman (1999) and the eight dimensions of good governance as defined by the United Nations Development Programme (UNDP).

This study was designed with an applied purpose and utilized a survey methodology for data collection. The statistical population of the study consisted of the heads of rural households in Kashan City with a total population of 364,482 individuals. By employing the Karjesi-Morgan table, the sample size for the study was determined to be 379 participants. A multi-stage sampling method was employed to select the participants for this research. The calculated value of Cronbach's alpha for the indicators of good governance and rural sustainability were 0.75 and 0.72, respectively.

Data analysis was conducted using SPSS version 24 and AMOS software packages. The findings indicated that both the components of good governance and rural stability in the villages of Kashan City were evaluated as average and below the optimal level with the average scores of 3.120 and 2.773, respectively. Furthermore, favorable causal relationships were observed between the components of good governance and rural stability as indicated by a fitted model (RMSEA=0.022). The research findings suggested that enhancing indicators, such as legality, transparency, accountability, efficiency and effectiveness, participation, consensus, justice, and accountability could significantly contribute to the development of rural sustainability components.