The impact of using participatory planning in residential neighborhoods to achieve smart growth (case study: Isargaran neighborhood of mashhad)

in recent years, public participation as a comprehensive strategy for confronting the spread of cities to achieve smart growth in many developed countries was employed. the main objective of this research is to investigate the effect of participatory planning in residential neighborhoods in order to achieve smart growth and sub - objectives of this research is to develop criteria and sub criteria for realization of smart growth and participatory planning and study the role of participatory planning in order to achieve smart growth in veteran’s neighborhood. this research is an applied research in terms of purpose is descriptive _ analytical. the theoretical framework of this research was carried out using documentary and library studies. in fact, in this research efforts have been made to achieve macro goals, all stakeholders and stakeholders and decide for the future of the city, which will lead to programs and executive plans. the main part of the information of this research was evaluated through questionnaire distribution in order to know citizens ' perception of their living environment as well as gathering of social, economic and ect. the method of sampling was random and the sample size was calculated using cochran 's software. in this study, we used frequency distribution table, T - Test and chi-squre test. Also its taken advantage of shannon entropy model for analyzing smart growth;And its paid attention to determining prioritization of indicators and research components from authorities,citizens and specialists point of view.The approach that has been suggested for enhancing participation in regions for accessing to smart growth consists of awareness, social interaction, benefiting from private organizations,confidence and empowerment.Also its inferring that the physical development of the region is occurred as horizontal (spiral) in years 2011 to 2016, based on data and the amounts obtained from the result of shannon entropy model.