Smart City Transformation: An Analysis of Dhaka and Its Challenges and Opportunities

IF 7 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

Smart Cities Pub Date : 2023-04-07 DOI:10.3390/smartcities6020052

A. K. Karmaker, S. Islam, M. Kamruzzaman, M. Rashid, Md. Omer Faruque, Md. Alamgir Hossain

引用次数: 0

Abstract

Cities worldwide are experiencing rapid urbanization and an increasing population, creating a pressing need for smart infrastructure to enhance citizen services. Dhaka, the capital of Bangladesh, faces similar technological and socio-economic challenges, making it crucial to transform it into a sustainable smart city. This research analyzes the opportunities and challenges of smart cities and Dhaka through SWOT and PESTEL analyses. The study employs a fuzzy rule-based inference system in a MATLAB simulation to calculate the smart city index based on parameters such as governance, transportation, waste management, utility management, healthcare, and industrial automation. The findings reveal that good governance has the highest impact on the smart city index, followed by transportation. The paper proposes a sustainable smart city transportation framework and management technique, outlining future research directions. The proposed framework is expected to impact socio-economic, technological, and environmental aspects positively.

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智慧城市转型:达卡分析及其挑战与机遇

世界各地的城市正在经历快速的城市化和人口的增加，迫切需要智能基础设施来加强公民服务。孟加拉国首都达卡也面临着类似的技术和社会经济挑战，因此将其转变为可持续的智能城市至关重要。本研究通过SWOT分析和PESTEL分析，分析了智能城市和达卡面临的机遇和挑战。该研究在MATLAB模拟中使用了基于模糊规则的推理系统，根据治理、交通、废物管理、公用事业管理、医疗保健和工业自动化等参数计算智能城市指数。研究结果显示，良好治理对智慧城市指数的影响最大，其次是交通。本文提出了一个可持续的智慧城市交通框架和管理技术，概述了未来的研究方向。拟议的框架预计将对社会经济、技术和环境方面产生积极影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Smart Cities Multiple-

CiteScore

11.20

自引率

6.20%

发文量

审稿时长

11 weeks

期刊介绍： Smart Cities (ISSN 2624-6511) provides an advanced forum for the dissemination of information on the science and technology of smart cities, publishing reviews, regular research papers (articles) and communications in all areas of research concerning smart cities. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, with no restriction on the maximum length of the papers published so that all experimental results can be reproduced.