Abstract

Rapid urbanization to meet the needs of the growing population has led to several challenges such as pollution, increased and congested traffic, poor sustainability, and impact on the ecological environment. The conception of smart cities comprising intelligent convergence systems has been regarded as a potential solution to overcome these problems. Based on the information, communications, and technology (ICT), the idea of a smart city has emerged to decrease the impact of rapid urbanization. In this context, important efforts have been made for making cities smarter and more sustainable. However, the challenges associated with the implementation and evaluation of smart cities in developing countries are not examined appropriately, particularly in the Moroccan context. To analyze the efficacy and success of such efforts, the evaluation and comparisons using common frameworks are significantly important. For this purpose, the present research aims to investigate and evaluate the most influential dimensions and criteria for smart city development (SCD) in the Moroccan context. To reach this goal, this study proposes a new integrated Multi-Criteria Decision-Making (MCDM) model based on Intuitionistic Fuzzy Analytical Hierarchy Process (IF-AHP) and Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL). In the given context, the IF-AHP is employed to analyze the structure of the problem and calculate the weights of the qualitative and quantitative dimensions/criteria by incorporating the uncertainty values provided by the experts. Later, IF-DEMATEL is used to construct the structural correlation of dimensions/criteria in MCDM. The use of intuitionistic fuzzy set theory helps in dealing with the linguistic imprecision and the ambiguity of experts’ judgment. Results reveal that ‘Smart Living and Governance’ and ‘Smart Economy’ are major dimensions impacting the SCD in the Moroccan context. The proposed model focuses on enhancing the understanding of different dimensions/criteria and situations in smart cities compared to traditional cities and elevates their decision-making capability. Moreover, the results are discussed, as are the managerial implications, conclusions, limitations, and potential opportunities.

Highlights

  • During the past three decades, the world population has been increased by approximately 50%, from 5.28 billion in 1990 to 7.753 billion in 2020 [1]

  • The goal of the Intuitionistic Fuzzy Analytical Hierarchy Process (IFAHP) procedure is to compute the priorities of dimensions/criteria that affect smart city development (SCD) and assist policymakers in devising flexible short-term decision-making measures by considering the imprecision and ambiguity of the problem’s inherent linguistic nature

  • These criteria are organized under five different dimensions and IF-AHP and IF-DEMATEL are used to explore the influence intensity of these criteria on SCD projects

Read more

Summary

Introduction

During the past three decades, the world population has been increased by approximately 50%, from 5.28 billion in 1990 to 7.753 billion in 2020 [1]. Because of the increasing population worldwide, rapid urbanization and migration towards cities have been increased substantially during the past few decades Such transformation brought several problems, such as inappropriate public transportation, weak sustainability, pollution, low security, and slow enterprise production, etc. These problems require cities to engage resources to overcome these challenges and improve the quality of life of their citizens [5]. Resolving these issues necessitates innovative solutions and advanced techniques in urban planning and conception [6]. Such implementation assists in enhancing the quality of the services and improving the living conditions

Objectives
Methods
Results
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call