{"product_id":"9783032170545","title":"The Future of Sustainable Smart Cities Using Machine Learning to Enhance Residents’ Well-Being, Optimize Mobility, and Support Commercial Success","description":"\u003ch3\u003ePalgrave Studies in Emerging Risk Management and Sustainable Finance\u003c\/h3\u003e\u003ch1\u003eThe Future of Sustainable Smart Cities\u003c\/h1\u003e\u003ch2\u003eUsing Machine Learning to Enhance Residents’ Well-Being, Optimize Mobility, and Support Commercial Success\u003c\/h2\u003e\u003ch3\u003eThomas Walker | Liangzhu Leon Wang | Sherif Goubran | Ahmed Marey\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eBusiness \u0026amp; Economics \/ Public Finance\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003eCities are engines of economic growth and innovation. To sustain growth in urban agglomerations, local governments need strategies to address disruptions caused by climate change, resource scarcity, and social inequity. Machine learning (ML) offers a powerful way for city planners to manage, predict, and mitigate these complex challenges. While urban planning has traditionally relied on techniques based on historical data and deterministic models, the dynamic and interconnected nature of contemporary challenges demands more sophisticated and AI-augmented approaches. ML algorithms today can ingest large-scale, multisource data to generate real-time predictions and identify vulnerabilities across infrastructure, mobility, and social systems.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eThis book examines how ML supports sustainable smart cities—cities prepared to address multiple challenges while prioritizing resident quality of life by maintaining the capacity to thrive economically and socially. It explores ways to use ML to enable smarter infrastructure and building design, from system-level networks to specific applications in construction and operations. Chapters demonstrate how ML optimizes urban mobility through improved public transportation, fleet management, and urban flow prediction. The book also examines ML applications in urban resilience, including flood risk management, air quality monitoring, and disaster response systems. Additionally, it explores innovative applications in social sustainability, such as affective computing for community well-being and equity-focused planning tools.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eFeaturing contributions from leading experts in architecture, urban planning, engineering, computer science, and sustainability, the book showcases real-world case studies of successful ML applications in cities worldwide. The resulting volume bridges theoretical developments with practical implementations, offering technical depth and actionable insights for creating sustainable urban futures.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp class=\"x_elementToProof\"\u003e\u003cstrong data-olk-copy-source=\"MessageBody\"\u003eThomas Walker\u003c\/strong\u003e is Professor in the Department of Finance at the John Molson School of Business, Director of the Jacques Ménard\/BMO Center for Capital Markets at Concordia University, Canada, and Executive Director of the Institute for Sustainable Finance.\u003c\/p\u003e\r\n\u003cp class=\"x_elementToProof\"\u003e\u003cstrong\u003eLiangzhu Leon Wang \u003c\/strong\u003eis Professor in the Department of Building, Civil and Environmental Engineering and Associate Director of the Center for Zero Energy Building Studies at Concordia University, Canada.\u003c\/p\u003e\r\n\u003cp class=\"x_elementToProof\"\u003e\u003cstrong\u003eSherif Goubran\u003c\/strong\u003e is Assistant Professor in the Department of Architecture at the School of Sciences and Engineering at The American University in Cairo, Egypt.\u003c\/p\u003e\r\n\u003cp class=\"x_elementToProof\"\u003e\u003cstrong\u003eAhmed Marey\u003c\/strong\u003e is a PhD candidate in the Department of Building, Civil and Environmental Engineering at the Gina Cody School of Engineering and Computer Science at Concordia University, Canada.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e19 September 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003ePalgrave Macmillan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032170545\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e440\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":45443113418892,"sku":"9783032170545","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032170545.jpg?v=1781087075","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032170545","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}