Analysis of the impact of urban smartness indicators on the neighborhoods of Babolsar city

جغرافیاوتوسعه ناحیه ای

Articles in Press, Accepted Manuscript, Available Online from 13 January 2024   

Document Type: scientific-research article

DOI: 10.22067/jgrd.2024.84638.1338

Authors

Maryam Pourali¹; Raheleh rostami^{* 2}; Zahra Sharifi Nia³

¹*

²Assistant Professor, Department of Architecture, Sari Branch, Islamic Azad University, Sari, Iran

³Associate Professor, Department of Geography and Tourism Planning, Sari Branch, Islamic Azad University, Sari, Iran

Abstract

social equality and environmental protection. This approach to being digitally mediated has led to the improvement of its efficient and integrated infrastructure and alignment with the goals of environmental protection, social equality and economic development. The purpose of this research is to analyze the effectiveness of smartness indicators in the sustainable neighborhoods of Babolsar city. The type of applied research and the method used is descriptive-analytical, and library and field methods (questionnaire) have been used to collect data and information. The statistical population of this research includes citizens, based on Cochran's formula, 271 questionnaires were randomly distributed in the neighborhoods of Babolsar city. Descriptive and inferential tests (one-sample t and analysis of variance) and Marcus model were used to analyze data and information. In addition, the results of examining the trends of the findings based on the one-sample t-test showed that the effectiveness of smartness indicators on the sustainability of urban areas is lower than the theoretical limit (3). Therefore, participation indicators with (2.87) and information and communication technology with (2.82) respectively have the highest averages, and cultural indicators with (1.57) and pollution with ( 1.67) show the lowest average amount from the point of view of the respondents. The results of the analysis of variance show that the value of the significance level is less than 0.05. Therefore, the average difference of intelligentization of sustainable urban neighborhoods is accepted. The results of the Marcus model showed that the university town and the coastal town (due to the improvement of infrastructure and facilities and welfare services and the houses being villas and attracting more travelers to these neighborhoods) are the highest ranked and Javadieh and Kati Ben neighborhoods due to (traditional beliefs and weakness financial and infrastructural) are assigned the lowest rank.

Keywords

Urban; economic; social and environmental smartness; urban areas of Babolsar

References