Identification and Evaluation of Sustainable Factors in Urban Construction Project Management Using SWOT Technique

Abstract

This study aims to create a management framework for identifying and evaluating sustainable factors in construction project management through strengths, weaknesses, opportunities, and threats analysis, focusing on the Rasht urban. The research method in this study includes the four steps. Step 1: Identifying internal and external sustainable factors using the Delphi technique; Step 2: Designing an analytic hierarchy process and calculating the weights of internal and external factors using SPSS 26 software; Step 3: Creating the internal factor and external factor evaluation and determining the final weights; Step 4: Model design and the analysis of strengths, weaknesses, opportunities, and threats. Quantitative strategic planning matrix analysis has been used to prioritize and identify the attractiveness of each of the designed strategies. By forming a quantitative strategic planning matrix, the existing twelve strategies have been prioritized. Based on the quantitative strategic planning matrix analysis, the priority of strategy selection includes: 1) The scenario of the construction of resistant infrastructure and creating the necessary regulations to strengthen and support construction projects with a score of 1.94 was ranked first. 2) The scenario of applying creativity and human resources experience to increase the productivity of construction projects with a score of 1.90 was ranked second. 3) The scenario of human resource training in order to enhance the expertise in the construction management complex with a score of 1.89 was ranked third. In this study, sustainable factors have been evaluated very accurately through quantitative strategic planning matrix, which has not been done more research so far. The study recommends implementing strength-opportunities (SO) strategies to improve construction projects in the Rasht urban area.

Received: 18 October 2023 | Revised: 14 March 2024 | Accepted: 12 July 2024

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data available on request from the corresponding author upon reasonable request.

Author Contribution Statement

Nima Amani: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing - review & editing, Visualization, Supervision, Project administration. Mahsima Naeij: Software, Formal analysis, Resources, Data curation, Writing - original draft.