مطالب

INTRODUCTION:Measure of resilience as an objective concept in recent years has been interested to researchers. Therefore, this study was designed to assess the level of resilience of students in vulnerable areas based on the LM-CRID-31 Q. METHODS: This was a descriptive cross-sectional study. The tool used was LM-CRID-31Q, which includes Cronbach's alpha 0.86 and the internal consistency is ICC = 0.91 CI (95%), 849-948. This questionnaire was surveyed among 599 students aged 13 to 18 years in hazardous areas of Golestan province and the earthquake hazards in Kermanshah province at the end of 2017. FINDINGS: The results showed that girls had more resilience than boys. Age, sex, level of education, and living area were among the most influential factors in the resilience of children in disasters. Resilience of Kermanshah teenagers was more than Golestan. The most resilience of students was in the area of trust in God and the lowest resilience in the area of accepting social responsibility. The lowest percentage of resilience was in the acceptance of social responsibility (22.2%) and adaptability (57.0%). The highest percentage of resilience in the elements of trust in God and learning thrill (91.0%) and other components were creativity and dynamism (83.7%), happiness (80.3), and hope (74.8%) of moderate resilience. CONCLUSION: The LM-CRID-31Q instrument with eight components could be the beginning of advanced studies by researchers in the field of child in disasters. This questionnaire is applicable to measuring the resilience before and after accidents and disasters.

INTRODUCTION: Cities as human settlements have always been at risks. Therefore, they need to have a mechanism to keep safe against dangers automatically. Moreover, this self-safety mechanism happens when passive defense principles observe in the city design. Public spaces should have multi-purpose applications so that their defensive function can also be utilized in addition to the main purpose. The aim of this research is to investigate the passive defense components in the design of urban parks. METHODS: This study is practical-developmental based on purpose and descriptive-analytical based on the nature that was carried out in the Janet Garden of Shiraz, Iran in 2017-2018. The statistical population is Shiraz citizens using random sampling method. The sample size was 384 according to Cochran formula. Data were collected using questionnaire and was validated based on Cronbach's alpha (above 0.7) and binomial test and one-sample t-test were used to test the hypotheses. The confidence level and the error rate were 95% and 5% respectively for all three hypotheses. FINDINGS: The results show that observing the principles of passive defense are effective in urban parks designing based on four criteria such as citizens' security, stability of natural elements, variability of performance of park components, and park space. Most people using the park were 21-35 year olds with a diploma and associate degree and a monthly visit. CONCLUSION: Observing the principles of passive defense in designing or redesign urban parks in addition to improving defensive performance increased the sense of security of citizens’ health and leads to the stability of the elements, components, and park space.

INTRODUCTION: Due to the increasing trend of natural and manmade disasters in the contemporary world, especially in Iran, as well as the variety and high number of disasters in recent years, the issue of managing the humanitarian services supply network has become very important. The purpose of this study is to design and evaluate the model of trust building in the humanitarian services supply network, considering the importance of building trust in these networks and theoretical poverty in this field. METHODS: For doing this study, three recent major disasters in Tehran province, Iran, (Plasco accident, city explosion and metro flood) were selected and had been studied and the trust building model in humanitarian service supply network is designed using Corbin and Strauss grounded theory version 2015 based on interviews with 8 humanitarian experts in that three disasters. Then, the relationships between the model components were investigated by Structural Equation Modeling with a researcher-made questionnaire distributed among 128 individuals participating in the above events. FINDINGS: The final model is designed in three phases of conditions, actions, and consequences based on grounded theory. Poor community structures and community management systems are a major obstacle to trust building and political power interventions, insufficient funding, uncertainty of the responsible person, unsuccessful performance, lack of coordination and cooperation of the responsible working groups, and lack of readiness are the main factors of distrust. The main components of the model are highly correlated and the components have significant relationships. CONCLUSION: The research final model can solve the existing problems in Iran's humanitarian services supply network by building trust among organizations, members of the network and finally among the public. Building trust enhances intra-network collaboration, and achieves the success and goals of the relief network through establishing greater coordination and cohesion. The dominance of the political factors in the relief network is also a major obstacle to obtaining the needed information and making good cooperation by those present in the network and thus, the involvement of political actors in the humanitarian supply network should be prevented.

high vulnerability of these infrastructures raise the question of what effects the demolition of these infrastructures would have. Natural disaster management is entirely dependent on the capacity and efficiency of the central government in Iran and the government also mobilizes and organizes crisis management and resources through an almost monopoly and exclusively controlled information system. Therefore, the present study was accomplished to examine some of the likely impacts and consequences of an earthquake in Tehran from a prospective perspective. METHODS: Using documentary data and the implementation of a two-round expert panel, it was examined whether the demolition of information infrastructures due to a potential earthquake in Tehran would impose efficacy and influence crises on the government. In this way, basic study information was collected using library documents and the futurological aspects of the problem, i.e. the probability of a severe earthquake, destruction of media infrastructure, and the subsequent possible crises were investigated using the Expert panel method. FINDINGS: Taking into account the tectonic potentials and historical backgrounds, the occurrence of a major earthquake with magnitude greater than 7 is highly probable in Tehran. Given the density of information structures, installations, and trusted organizations in vulnerable areas, there is a high likelihood of destruction of a large part of the information infrastructure and networks. This situation, in the absence of measures and sufficient alternative networks, would increase the likelihood of severe disruptions in the information and crisis management process. Such a situation, given the social and political contexts, is likely to trigger or intensify the efficacy and influence crises. CONCLUSION: Considering the drawbacks present in the information structure, i.e. the concentration in Tehran and the imminent destructive earthquake in Tehran, as well as the location of its physical buildings in the vicinity of earthquake faults, there would be many crises facing the country.

INTRODUCTION: As social and environmental problems is rapidly increasing, social responsibility is increasingly being more important. Now, worldwide profit and nonprofit organizations such as Red Cross Society are paying more attention to differentiate or improve their brands as well as the level of participations by cause marketing campaigns. This study aimed to explore comprehensive factors that can influence consumer response in cause marketing campaigns in Iran context. METHODS: Using a qualitative grounded theory approach, consumer experiences about real cases of related campaigns in Iran market were addressed through deep interviews with 18 Iranian consumers. The analysis of data was done by NVivo software through a reciprocating process and principles of grounded theory. FINDINGS: The suggested inductive model advocated that cause marketing campaigns (including structural-related campaign factors from corporate side, structural-related campaign factors from cause side, implementation-related campaign factors, and consumer-related factors) could affect consumer response pyramid. CONCLUSION: In addition to structural factors, which often examined in past research, our findings suggest that implementation- and consumer-related factors can influence consumer’s response, and in planning cause-marketing campaigns, these vital factors must be notice.

INTRODUCTION: In order to prevent and reduce the death and disability rates caused by road accidents, it is necessary to optimize the location of the roadside emergency medical service (EMS) stations. Optimal selection of the EMS stations is a multi-criteria decision-making (MCDM) problem and usually involves the analysis of a large number of possible options and evaluation criteria. Nowadays, various MCDM methods are used to solve location problems that may generate different results. The fuzzification of these methods has always been one of the controversial issues with many agreements and disagreements. METHODS: In this study, a review was first performed on the weighting methods including five non-fuzzy weighting methods as row sum, column sum, arithmetic mean, geometric mean, and eigenvalues as well as two fuzzy weighting methods including: “Liu and Chen method” and “Chang Method”. Then, the fuzzy and non-fuzzy MCDM methods [including analytic hierarchy process (AHP), fuzzy analytic hierarchy process (FAHP) Chang, FAHP Liu, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy TOPSIS (FTOPSIS)] were employed to locate the roadside EMS stations. Due to insufficient information and all the required layers in Iran, the information of the Interstate-65 (I-65) Highway between Montgomery and Birmingham, Alabama, USA was used in the present study. Finally, the results of these methods were compared using the mean-score, Borda, and Copeland prioritization strategies. FINDINGS: Given the importance and sensitivity of the issue, a combination of the MCDM methods was utilized to locate the EMS stations and the most appropriate non-fuzzy and fuzzy weighting methods were identified and the methods used were compared in terms of complexity, volume and time of computations, and the level of impact of the expert opinion. CONCLUSION: The AHP, FAHP Liu and Chen, FAHP Chang, and TOPSIS methods yielded more reliable results in locating the roadside EMS stations, in addition, using FTOPSIS fuzzy method was more risky and is not recommended. The non-fuzzy AHP method was identified to be the most reliable method in the present study.

Introduction: One of the main weaknesses and problems in the field of road accident management is the lack or non-use of appropriate information systems. The overall aim of this study is to reduce the impact of road accidents in the west, southwest, and south routes of Tehran Province, Iran, by designing Management Database responsible for road accidents. METHODS: This was an applied study performed using the descriptive-analytical method in which the data entry and analysis were conducted in the Geographic Information System (GIS) environment in line with the objectives. Then, according to different requirements of the various users, an appropriate analysis was performed on the layers and the software spatial analysis was applied in line with the main objective of the study. In the next step, the desired outputs were extracted from the system and the main output, i.e. the comprehensive database of spatial data required to manage road accidents, was provided to the management levels of various organizations for planning. FINDINGS: In this study, the accident-prone areas in the studied routes were identified using the kernel density estimation (KDE) method. CONCLUSION: Performing various analyses on geographical and descriptive information and providing appropriate outputs and also sharing them can play an effective role in reducing injuries caused by road accidents.

INTRODUCTION: Sustainable urban development and sustainable cities are the most important challenges faced by humans in the 21st century, as the cities may suffer a lot of damage in times of crisis. Therefore, paying attention to the passive defense subject can significantly reduce the level of damage caused by disasters. The present study is conducted with the aim to provide a passive defense approach to selecting the best shelter for temporary accommodation. METHODS: This was a descriptive-analytical study in which the required information was collected using library and field methods. In order to analyze the information, the analytic network process (ANP) technique was employed in order to determine the importance coefficients of indicators in a real environment. Finally, by overlapping information layers, the most preferred locations were identified in proportion to the objective, and the system was used to draw the layers and determine the importance weights of the indicators. FINDINGS: Given the importance weights, the characteristics of a suitable place included areas with sufficient open spaces and at the same time, compatible with the surrounding uses with a relatively higher potential for the establishment of the injured. Therefore, due to the existence of open and suitable spaces as well as proper access, the outskirts of Tabriz, Iran, have a high capacity for accommodating the incident victims.

INTRODUCTION: Natural disasters in rural settlements are responsible for a broad range of financial and human losses. In this regard, the resilience approach has gained renewed attention to minimize the disruptive impacts of natural catastrophes. Therefore, adequate knowledge about the status of resilience enables us to take efficient measures to reduce resultant injuries and destructive effects. With this background in mind, the current study aimed to investigate the relationship between economic and socio-cultural resilience of rural settlements in Silakhor rural district in Dorud. METHODS: This practical study was conducted based on an analytical-descriptive design. The statistical population included 1539 earthquake-stricken households of Silakhor village (according to household information from the 2016 Census). Out of this population, 308 families were selected as the sample size using the Cochran's formula. The validity of the questionnaire was confirmed by a panel of experts, and its reliability was evaluated using Cronbach's alpha method rendering the coefficients of 0.910 and 0.854 for the economic and socio-cultural dimension, respectively. One-Sample T-Test and Pearson correlation were used to examine the status of resilience and the relationship between economic resilience and socio-cultural resilience. FINDINGS: As evidenced by the obtained results, rural settlements were socio-culturally resilient with the mean score of >3, while they were somewhat resilient in the economic dimension with the mean score of nearly 3. CONCLUSION: The results of the Pearson correlation pointed to a positive and significant relationship between economic and social resilience with a correlation coefficient of 0.420 and a significance level of P<0.00.