AI-Driven Strategies for Inclusive and Sustainable Urbanization
暫譯: 以AI驅動的包容性與可持續城市化策略
Omar, Mazni, Abdul Karim, Samsul Ariffin, Zolkafli, Amirulikhsan
商品描述
This book explores the transformative potential of artificial intelligence (AI) in reshaping urban development practices. Its objective is to provide a comprehensive overview of the latest advancements in AI-driven strategies for urban development and governance, with a focus on promoting inclusivity, sustainability, and resilience in cities worldwide. This book studies how AI technologies can be utilized to tackle the complex challenges encountered in urban areas, spanning ethical, social, and environmental implications across urban governance and beyond.
The in-depth analysis in this book uncovers the potential of AI in addressing longstanding challenges and seizing new opportunities in urban contexts, offering insights into wide-ranging applications. For the use of AI in urban planning, the authors showcase applications that help reduce environmental impact while enhancing accessibility for underserved communities by analyzing real-time data on land use, transportation, and population needs. Another topic in this book examines AI-powered urban mobility systems, utilizing software that integrates real-time data to create adaptive transportation networks. These systems offer efficient, eco-friendly travel solutions tailored to diverse populations, including individuals with disabilities, by dynamically adjusting routes and services. Additionally, this book delves into digital inclusion and accessible technologies in smart cities, highlighting software that prioritizes accessibility and digital inclusion, ensuring that all residents, regardless of ability, can fully participate in urban life. The interdisciplinary approach allows readers to understand how different fields, such as technology, urban planning, and social policy, intersect and shape AI-driven urban development. By weaving together insights from these diverse areas, this book demonstrates how AI can address real-world challenges, from improving infrastructure to fostering sustainability and inclusivity in cities. This perspective helps readers grasp the broader impact of AI, showing how it can enhance various aspects of urban life, including social equity and environmental resilience.
Through interdisciplinary research, case studies, and expert insights, this book aims to educate students in higher learning and inspire policymakers, urban planners, and practitioners to leverage AI technologies to tackle urban challenges and build better cities for all residents.
商品描述(中文翻譯)
這本書探討人工智慧（AI）在重塑城市發展實踐中的變革潛力。其目標是提供有關AI驅動的城市發展和治理策略最新進展的全面概述，重點在於促進全球城市的包容性、可持續性和韌性。本書研究AI技術如何被用來應對城市地區所面臨的複雜挑戰，涵蓋城市治理及其他領域的倫理、社會和環境影響。
本書的深入分析揭示了AI在解決長期挑戰和把握城市環境中新機遇的潛力，提供了廣泛應用的見解。關於AI在城市規劃中的應用，作者展示了幫助減少環境影響的應用，同時通過分析土地使用、交通和人口需求的即時數據，增強弱勢社群的可及性。本書的另一主題探討了AI驅動的城市交通系統，利用整合即時數據的軟體來創建自適應的交通網絡。這些系統提供高效、環保的旅行解決方案，針對不同的人群，包括殘障人士，通過動態調整路線和服務來滿足需求。此外，本書深入探討了智慧城市中的數位包容性和可及技術，強調優先考慮可及性和數位包容性的軟體，確保所有居民無論能力如何，都能充分參與城市生活。這種跨學科的方法使讀者能夠理解技術、城市規劃和社會政策等不同領域如何交叉並塑造AI驅動的城市發展。通過將這些多樣領域的見解編織在一起，本書展示了AI如何應對現實世界的挑戰，從改善基礎設施到促進城市的可持續性和包容性。這種觀點幫助讀者掌握AI的更廣泛影響，顯示它如何增強城市生活的各個方面，包括社會公平和環境韌性。
通過跨學科的研究、案例研究和專家見解，本書旨在教育高等教育的學生，並激勵政策制定者、城市規劃者和實踐者利用AI技術來應對城市挑戰，為所有居民建設更好的城市。
作者簡介
Mazni Omar is an Associate Professor at the School of Computing (SOC) and a Research Fellow at the Institute for Advanced and Smart Digital Opportunities (IASDO) at Universiti Utara Malaysia (UUM). She holds professional certifications in software testing, specifically CTFL and CTFL-AT. With a focus on software engineering, her research interests encompass agile project management, software process, software quality, and data mining using AI techniques. She has contributed significantly to her field, with numerous articles published in esteemed journals, proceedings, and book chapters. She has also secured research grants from diverse sources, including universities, national and international agencies, and industry partners. Collaborating extensively with Asian universities, including those in Indonesia and Pakistan, she actively participates in Erasmus+ CBHE and Erasmus+ KA107 Mobility Projects involving Asian and European universities. Dr. Mazni's research extends beyond computing to encompass social sciences applications related to the human aspects of software engineering. She serves on the editorial board of the Scopus-indexed Journal of Information and Communication Technology (JICT).
Samsul Ariffin Abdul Karim is an Associate Professor with the School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia (UUM), Malaysia. He earned a PhD in mathematics at Universiti Sains Malaysia (USM). He is a Professional Technologist registered with the Malaysia Board of Technologists (MBOT), no. Perakuan PT21030227. His research interests include numerical analysis, machine learning, approximation theory, optimization, science, and engineering education as well as wavelets. He has published more than 180 papers in journals and conference proceedings, including five edited conference volumes and 80 book chapters. He received the Effective Education Delivery Award and Publication Award (Journal and Conference Paper) on UTP Quality Day 2010, 2011, and 2012. He is a Certified WOLFRAM Technology Associate, Mathematica Student Level. He has published 13 books with Springer Publishing, including eight books in the Studies in Systems, Decision and Control (SSDC) series, three books with Taylor & Francis/CRC Press, one book with IntechOpen, and one book with UTP Press. He received the Book Publication Award on UTP Quality Day 2020 for the book Water Quality Index (WQI) Prediction Using Multiple Linear Fuzzy Regression: Case Study in Perak River, Malaysia, published by SpringerBriefs in Water Science and Technology in 2020.
Amirulikhsan Zolkafli is a Senior Lecturer at Universiti Utara Malaysia (UUM), where he serves as a faculty member in the School of Computing, contributing significantly to the fields of geographic information systems and information technology. He earned a PhD in geographic information systems at the University of Queensland, Australia. With a robust academic background and a passion for research, he has published numerous papers in reputable journals, focusing on participatory GIS approaches and practical solutions in various areas. In addition to his research contributions, he is dedicated to teaching and mentoring students, fostering a dynamic and engaging learning environment. He is also a member of an Erasmus+ research team that has successfully designed a master's program on geoinformatics for disaster risk reduction. His commitment to education and scholarly excellence is reflected in his active participation in various academic conferences and workshops. He continually seeks to bridge the gap between theoretical knowledge and real-world application. His work not only advances academic understanding but also has a tangible impact on industry practices. Beyond his academic and research endeavors, he is actively involved in community service, striving to make a positive difference both within and outside the university.
Mazida Ahmad is an Associate Professor in the School of Computing, Universiti Utara Malaysia. With a degree from International Islamic University Malaysia, a master's of real-time software engineering from Universiti Teknologi Malaysia, and a PhD from Universiti Sains Malaysia, Mazida has been serving Universiti Utara Malaysia for approximately 15 years. She teaches courses on advanced systems analysis and design, information system development, information technology project management, knowledge management, and management information systems. Her research areas include knowledge management, software engineering, and IT in education. She is currently involved in numerous international collaborations, such as International Research Collaboration with Universitas Komputer, Telkom University, and Universitas Kuningan in Indonesia, the International Credit Mobility (ICM) program with University West Attica, Greece, and Capacity Building in the field of Higher Education (CBHE) project with European and Asian universities.
作者簡介(中文翻譯)
**Mazni Omar** 是馬來西亞北方大學 (Universiti Utara Malaysia, UUM) 計算學院 (School of Computing, SOC) 的副教授及高級數位機會研究所 (Institute for Advanced and Smart Digital Opportunities, IASDO) 的研究員。她擁有軟體測試的專業認證，特別是 CTFL 和 CTFL-AT。專注於軟體工程的她，研究興趣涵蓋敏捷專案管理、軟體流程、軟體品質及使用 AI 技術的資料探勘。她在其領域做出了顯著貢獻，發表了多篇文章於知名期刊、會議論文集及書籍章節。她也獲得來自多個來源的研究經費，包括大學、國家及國際機構和產業夥伴。她與亞洲大學（包括印尼和巴基斯坦的學校）廣泛合作，積極參與 Erasmus+ CBHE 和 Erasmus+ KA107 流動專案，涉及亞洲和歐洲的大學。Mazni 博士的研究不僅限於計算領域，還涵蓋與軟體工程人文方面相關的社會科學應用。她擔任 Scopus 索引的《資訊與通信技術期刊》（Journal of Information and Communication Technology, JICT）的編輯委員會成員。
**Samsul Ariffin Abdul Karim** 是馬來西亞北方大學 (UUM) 定量科學學院 (School of Quantitative Sciences) 的副教授。他在馬來西亞科學大學 (Universiti Sains Malaysia, USM) 獲得數學博士學位。他是馬來西亞技術專家委員會 (Malaysia Board of Technologists, MBOT) 登記的專業技術人員，證號為 Perakuan PT21030227。他的研究興趣包括數值分析、機器學習、近似理論、優化、科學與工程教育以及小波分析。他在期刊和會議論文集中發表了超過 180 篇論文，包括五本編輯的會議論文集和 80 章書籍。他在 2010、2011 和 2012 年的 UTP 品質日獲得有效教育傳遞獎和出版獎（期刊和會議論文）。他是 WOLFRAM 技術協會的認證成員，Mathematica 學生級別。他與 Springer Publishing 出版了 13 本書籍，包括在系統、決策與控制 (Studies in Systems, Decision and Control, SSDC) 系列中的八本書、與 Taylor & Francis/CRC Press 的三本書、與 IntechOpen 的一本書，以及與 UTP Press 的一本書。他因書籍《使用多重線性模糊回歸預測水質指數 (WQI)：馬來西亞霹靂河案例研究》獲得 2020 年 UTP 品質日的書籍出版獎，該書於 2020 年由 SpringerBriefs 在水科學與技術系列中出版。
**Amirulikhsan Zolkafli** 是馬來西亞北方大學 (UUM) 的高級講師，任教於計算學院，對地理資訊系統和資訊技術領域做出了重要貢獻。他在澳大利亞昆士蘭大學獲得地理資訊系統博士學位。擁有堅實的學術背景和對研究的熱情，他在多個知名期刊上發表了大量論文，專注於參與式 GIS 方法和各領域的實用解決方案。除了研究貢獻外，他還致力於教學和指導學生，培養動態且引人入勝的學習環境。他也是一個 Erasmus+ 研究團隊的成員，成功設計了一個針對災害風險減少的地理資訊碩士課程。他對教育和學術卓越的承諾體現在他積極參加各種學術會議和研討會中。他不斷尋求將理論知識與實際應用之間的鴻溝縮小。他的工作不僅推進了學術理解，還對產業實踐產生了實質影響。除了學術和研究工作外，他還積極參與社區服務，努力在校內外帶來積極的改變。
**Mazida Ahmad** 是馬來西亞北方大學 (UUM) 計算學院的副教授。她擁有馬來西亞國際伊斯蘭大學的學位、馬來西亞科技大學的即時軟體工程碩士學位，以及馬來西亞科學大學的博士學位，Mazida 在馬來西亞北方大學服務約 15 年。她教授高級系統分析與設計、資訊系統開發、資訊科技專案管理、知識管理和管理資訊系統等課程。她的研究領域包括知識管理、軟體工程和教育中的資訊科技。她目前參與多項國際合作，例如與印尼的計算大學 (Universitas Komputer)、電信大學 (Telkom University) 和庫寧大學 (Universitas Kuningan) 的國際研究合作，與希臘西阿提卡大學的國際學分流動 (ICM) 計畫，以及與歐洲和亞洲大學的高等教育能力建設 (CBHE) 專案。
