Urban Human Mobility: Practices, Analytics, and Strategies for Smart Cities
暫譯: 都市人類移動:智慧城市的實務、分析與策略
Huang, Xiao, Ye, Xinyue, Stewart, Kathleen
- 出版商: CRC
- 出版日期: 2026-10-16
- 售價: $2,880
- 貴賓價: 9.5 折 $2,736
- 語言: 英文
- 頁數: 360
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032821647
- ISBN-13: 9781032821641
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相關分類:
地理資訊系統 Gis、Machine Learning、Maker
尚未上市,無法訂購
相關主題
商品描述
This comprehensive handbook covers human mobility within urban contexts, integrating academic theories with pragmatic insights and offering a detailed analysis of the diverse facets of human mobility and its substantial impact on the urban landscape, economy, and societal structures. It explains key fundamental concepts, methods, and models, presenting an in-depth exploration of predictive analytics, clustering patterns, advanced trajectory embedding techniques, artificial intelligence, machine learning, geographic information systems (GIS), Internet of Things (IoT), and smart city innovations. The authors include many case studies and examples of urban mobility in practice, making the content relatable and practical for educators, students, researchers, and practitioners.
Features
- Provides a multidisciplinary and holistic understanding of urban mobility with systematic introductions and discussions of theory, methods, technologies, tools, and applications
- Covers a wide range of real-world case studies of urban mobility in practice globally that include data, programming code, and tools
- Discusses cutting-edge technologies involved in mobility data analytics
- Addresses practical challenges in data collection and the ethical implications of mobility research, which are crucial for professionals in the field
- Offers future directions of human mobility research under the big data and artificial intelligence (AI) revolution
Urban Human Mobility: Practices, Analytics, and Strategies for Smart Cities is for professionals, academics, and upper-level undergraduate and graduate students in the fields of urban planning/design, GIScience, data mining, and social sciences.
商品描述(中文翻譯)
這本完整的手冊探討都市情境中的人類移動,結合理論與實務洞見,詳細分析人類移動的各個面向,以及其對都市景觀、經濟與社會結構所造成的重大影響。本書說明關鍵的基礎概念、方法與模型,深入探討預測分析、群聚模式、進階軌跡嵌入技術、人工智慧(AI)、機器學習、地理資訊系統(GIS)、物聯網(IoT)與智慧城市創新。作者收錄許多都市移動的實務案例與範例,使內容對教育工作者、學生、研究人員及實務工作者而言更具關聯性與實用性。
特色
• 以多學科且整體性的觀點理解都市移動,有系統地介紹與討論相關理論、方法、技術、工具及應用
• 涵蓋全球各地廣泛的都市移動實務案例,包含資料、程式碼與工具
• 討論移動資料分析所涉及的尖端技術
• 探討資料蒐集的實務挑戰,以及移動研究所涉及的倫理意涵;這些議題對該領域的專業人士至關重要
• 闡述大數據與人工智慧(AI)革命下,人類移動研究的未來發展方向
《Urban Human Mobility: Practices, Analytics, and Strategies for Smart Cities》適合都市規劃/設計、GIScience、資料探勘與社會科學領域的專業人士、學術研究者,以及高年級大學生與研究生閱讀。
作者簡介
Dr. Xiao Huang is an assistant professor in the Department of Environmental Sciences at Emory University. His research expertise encompasses human-environment interaction, computational social sciences, urban informatics, disaster mapping and mitigation, geospatial artificial intelligence (GeoAI), and disaster remote sensing. Dr. Huang has contributed extensively to his field, authoring over 200 peer-reviewed journal articles and over 20 book chapters and playing a pivotal role in editing five books. He is among the World's Top 2% Scientists by Stanford/Elsevier's rankings. In his professional capacity, he serves as an associate editor for Computational Urban Science and is a member of the editorial board for several prestigious journals. Dr. Huang's research has garnered significant attention and received coverage in renowned media outlets such as Nature News, NASA, NBC, and Fox. His work has attracted substantial funding from NSF, NASA, the Bill and Melinda Gates Foundation, the National Academies, and the Centers for Medicare and Medicaid Services.
Dr. Xinyue Ye is the Harold Adams Endowed Professor in Urban Informatics and Stellar Faculty Provost Target Hire at Texas A&M University (TAMU). His research integrates computational social science, urban data science, and GeoAI to address issues ranging from infrastructure resilience and climate change to social justice and community perceptions, underscoring the dynamic interplay between technology, policy, and human behavior in shaping sustainable and livable cities. Dr. Ye was named one of the top 10 young scientists by the World Geospatial Developers Conference in 2021. His work has been funded by the National Academies, National Science Foundation, National Institutes of Health, National Institute of Justice, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, Department of Commerce, Department of Defense, Department of Energy, Department of Health and Human Services, Department of Housing and Urban Development, Department of Transportation, Department of the Treasury, Microsoft, Baptist Health Foundation, Robert Wood Johnson Foundation, and the Canada Social Sciences and Humanities Research Council.
Dr. Kathleen Stewart is a professor in the Department of Geographical Sciences and director of the Center for Geospatial Information Science. She works in the area of geographic information science with a particular focus on geospatial dynamics. She investigates movement and mobility for a number of different application domains, for example, health and transportation where movement patterns or behaviors and spatial access are key topics. Her research is supported in part by grants from the National Institutes of Health, the National Science Foundation, the Federal Highway Administration, and Maryland Department of Natural Resources, among other organizations. Dr. Stewart serves as a member of the National Geospatial Advisory Committee (NGAC), a federal advisory committee sponsored by the Department of the Interior. She served on the Mapping Science Committee of the National Academies of Sciences, Engineering and Medicine (2016-2023). She is a fellow of the University Consortium of Geographic Information Science (UCGIS) and a member of the editorial boards of The International Journal of Geographical Information Science (IJGIS), Geographical Analysis, Journal of Spatial Information Science (JOSIS), and International Journal of Geo-Information and Geomatics, among others.
Dr. Subasish Das is an assistant professor of the Civil Engineering Program in the Ingram School of Engineering at Texas State University. He is also involved with Texas A&M Transportation Institute (TTI) as a part-time associate research scientist. He has more than 13 years of experience related to roadway safety, traffic operation, and connected and automated vehicle (CAV) technologies. He is a systems engineer by training, with hands-on experience in Six Sigma and Lean Engineering. His major areas of expertise include database management, statistical analysis, and machine learning with emphasis on safety and transportation operations, spatial analysis with modern web GIS tools, interactive data visualization, and deep learning tools for CAV technologies. Dr. Das is a prolific author. He has published more than 160 technical reports and journal articles. He is the author of the book Artificial Intelligence in Highway Safety, which was published by CRC Press in 2022. The AASHTO Research Advisory Committee (RAC) awarded one of his research reports as 2014 AASHTO Sweet Sixteen High Value Research Project. Dr. Das is an active member of ITE and ASCE. He is an Eno Fellow. He served as vice president of membership of the Young Professionals in Transportation Houston chapter. He is currently a member of three TRB Committees: Information and Knowledge Management (AJE45), Artificial Intelligence and Advanced Computing Applications (AED50), and Impairment in Transportation (ACS50).
作者簡介(中文翻譯)
Dr. Xiao Huang 是 Emory University 環境科學系的助理教授。他的研究專長涵蓋人類—環境互動、計算社會科學、都市資訊學、災害製圖與減災、地理空間人工智慧(GeoAI),以及災害遙測。Dr. Huang 在其研究領域貢獻卓著,已發表超過 200 篇經同儕審查的期刊論文與超過 20 篇書籍章節,並在 5 本書的編輯工作中扮演關鍵角色。他入選 Stanford/Elsevier 排名中的全球前 2% 科學家。在專業職務方面,他擔任 Computational Urban Science 的副主編,並為多本知名期刊的編輯委員會成員。Dr. Huang 的研究受到廣泛關注,Nature News、NASA、NBC 與 Fox 等知名媒體皆曾報導其成果。他的研究也獲得 NSF、NASA、Bill and Melinda Gates Foundation、National Academies,以及 Centers for Medicare and Medicaid Services 等機構的大額經費支持。
Dr. Xinyue Ye 是 Texas A&M University(TAMU)的 Harold Adams 講座教授,專長為都市資訊學,並擔任 Stellar Faculty Provost Target Hire。他的研究整合計算社會科學、都市資料科學與 GeoAI,探討從基礎設施韌性、氣候變遷,到社會正義與社區認知等議題,凸顯科技、政策與人類行為在塑造永續且宜居城市過程中的動態交互作用。2021 年,Dr. Ye 獲 World Geospatial Developers Conference 評選為十大青年科學家之一。他的研究曾獲 National Academies、National Science Foundation、National Institutes of Health、National Institute of Justice、National Aeronautics and Space Administration、National Oceanic and Atmospheric Administration、Department of Commerce、Department of Defense、Department of Energy、Department of Health and Human Services、Department of Housing and Urban Development、Department of Transportation、Department of the Treasury、Microsoft、Baptist Health Foundation、Robert Wood Johnson Foundation,以及 Canada Social Sciences and Humanities Research Council 等機構資助。
Dr. Kathleen Stewart 是地理科學系教授,也是 Geospatial Information Science Center 主任。她從事地理資訊科學研究,尤其專注於地理空間動態。她針對多個不同應用領域探討移動與流動性,例如健康與運輸;在這些領域中,移動模式或行為,以及空間可及性都是重要研究主題。她的研究部分獲得 National Institutes of Health、National Science Foundation、Federal Highway Administration,以及 Maryland Department of Natural Resources 等組織的研究補助支持。Dr. Stewart 擔任 National Geospatial Advisory Committee(NGAC)委員;該委員會是由 Department of the Interior 贊助的聯邦諮詢委員會。她曾於 2016 至 2023 年間擔任 National Academies of Sciences, Engineering and Medicine 的 Mapping Science Committee 委員。她是 University Consortium of Geographic Information Science(UCGIS)會士,並擔任 The International Journal of Geographical Information Science(IJGIS)、Geographical Analysis、Journal of Spatial Information Science(JOSIS)及 International Journal of Geo-Information and Geomatics 等期刊的編輯委員會成員。
Dr. Subasish Das 是 Texas State University Ingram School of Engineering 土木工程學程的助理教授。他也以兼任副研究科學家的身分參與 Texas A&M Transportation Institute(TTI)的研究工作。他在道路安全、交通運作,以及聯網與自動駕駛車輛(CAV)技術方面擁有超過 13 年的經驗。他受過系統工程師訓練,並具備 Six Sigma 與精實工程(Lean Engineering)的實務經驗。他的主要專長包括資料庫管理、統計分析,以及著重於安全與交通運作的機器學習;此外,也包括運用現代 Web GIS 工具進行空間分析、互動式資料視覺化,以及應用於 CAV 技術的深度學習工具。
Dr. Das 是一位多產的作者,已發表超過 160 篇技術報告與期刊論文。他是《Artificial Intelligence in Highway Safety》一書的作者,該書由 CRC Press 於 2022 年出版。AASHTO Research Advisory Committee(RAC)曾將他的一份研究報告評選為 2014 AASHTO Sweet Sixteen High Value Research Project。Dr. Das 積極參與 ITE 與 ASCE,並為 Eno Fellow。他曾擔任 Young Professionals in Transportation Houston 分會的會員副主席。目前,他是 3 個 TRB 委員會的成員:Information and Knowledge Management(AJE45)、Artificial Intelligence and Advanced Computing Applications(AED50),以及 Impairment in Transportation(ACS50)。