Muutke küpsiste eelistusi

E-raamat: Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts

2.00/5 (4 hinnangut Goodreads-ist)
Edited by (Assistant Professor, College of Engineering, Technology, and Architecture, University of Hartford, CT, USA), Edited by , Edited by (Principal Scientist, Network and Cyber Technologies, Raytheon BBN Technologies, USA)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 14-May-2022
  • Kirjastus: Elsevier Science Publishing Co Inc
  • Keel: eng
  • ISBN-13: 9780128239421
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 130,97 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and ImpactsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 14-May-2022
  • Kirjastus: Elsevier Science Publishing Co Inc
  • Keel: eng
  • ISBN-13: 9780128239421
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems.

The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology.

  • Includes a cutting-edge catalogue of AI tools applied to smart city design and planning
  • Provides case studies from around the globe at various scales
  • Includes diagrams and graphics for course instruction
Contributors ix
Preface xi
Acknowledgments 1(2)
1 Theoretical foundations
1 A new agenda for Al-based urban design and planning
Mark Burry
Embracing AI to recalibrate the master plan
3(1)
The future of work: AI and the disruption of planning and urban design practice
4(1)
Unpacking artificial intelligence for planners and urban designers
5(1)
Fundamental AI components for disrupting planning and urban design practice
6(9)
AI enhancing traditional planning and urban design services workflow
15(3)
AI and the challenges to expertise
18(1)
Acknowledgment
19(1)
References
19(2)
2 AI and the limits of human creativity in urban planning and design
Neil Leach
Introduction
21(4)
Architectural lessons
25(7)
The limits of human creativity
32(4)
References
36(3)
3 Complexity science for urban solutions
Anjanaa Devi Sinthalapadi Srikanth
Benny Chin Wei Chien
Roland Bouffanais
Thomas Schrocpfcr
Introduction
39(1)
Artificial intelligence (AI) in the built environment
40(2)
Complexity science and urban systems
42(1)
Key aspects of spatial network analysis
43(9)
Computational social science and its AI applications
52(3)
Summary
55(1)
Acknowledgments
55(1)
References
55(6)
2 AI tools and techniques
4 Classes of AI tools, techniques, and methods
Geoff Kinini
Introduction
61(1)
A working definition of AI in urban planning and design
62(2)
Tools: Algorithmic clades in urban planning and design
64(2)
Techniques: A machine's-eye view of the city
66(5)
Methods: A snapshot from the practitioner's desktop
71(9)
Conclusions
80(1)
Acknowledgments
81(1)
References
81(5)
5 Urban form analysis through morphometry and machine learning
Jinmo Rhcc
Urban form--A basic definition
86(2)
Urban morphometry
88(1)
Context-rich urban analysis and generation using machine learning
89(7)
Urban morphometry with advanced statistics
96(3)
References
99(2)
6 Al-driven B1M on the cloud
Wanyn He
Jackie Yong Lcong Shong
Chuyu Wang
Introduction
101(1)
Background
101(4)
Al-driven building information model on the cloud
105(4)
Case studies
109(7)
Conclusions
116(1)
References
116(5)
3 AI in urban scale research
7 Deep learning in urban analysis for health
David William Newton
Introduction
121(2)
Urban morphology and health
123(1)
Deep learning in urban analysis for health
123(1)
Applications of discriminative deep learning in urban health analysis
124(7)
Applications of generative deep learning for urban health analysis
131(4)
Challenges, opportunities, and next steps
135(2)
References
137(2)
8 Spatial design of energy self-sufficient communities
Mina Rahimian
Lisa Iulo
Jose Pinto Duartc
Cities and energy resiliency
139(2)
Designing for energy self-sufficient urban settlements
141(2)
Urban form and energy consumption in communities
143(10)
Interpreting the black box
153(5)
Closure
158(2)
Acknowledgments
160(1)
References
160(2)
Further reading
162(1)
9 The image of the city through the eyes of machine reasoning
Elcin Sari
Ccngiz Erhas
Imdat As
Introduction
163(1)
Background
164(2)
Methods, tools, and techniques
166(2)
Case study
168(8)
Conclusions
176(2)
Acknowledgment
178(1)
References
178(3)
10 Optimizing urban grid layouts using proximity metrics
Fernando Lima
Nathan C. Brown
Jose Pinto Duarte
Introduction
181(2)
Materials and methods
183(4)
Case study
187(4)
Results
191(7)
Discussion
198(1)
Acknowledgments
199(1)
References
199(4)
4 Case studies in urban design and planning
11 Image analytics for urban planning: The case of the Barcelona Superblock
Aldo Sollazzo
The urgency for a new urbanism
203(4)
Novel methods for image analytics
207(6)
Conclusions
213(1)
Acknowledgment
214(1)
References
214(3)
12 Complexity science-based spatial performance analyses of UNStudio/DP Architects' SUTD Campus and WOHA's Kampung Admiralty
Anjanaa Devi Sinthalapadi Srikanth
Benny Chin Wei Chien
Roland Bouffanais
Thomas Schroepfer
Introduction
217(1)
Analyses of two vertically integrated spatial networks
218(1)
Methodology and research phases
219(23)
Conclusions
242(1)
Acknowledgment
243(1)
References
243(2)
13 Understanding urban leisure walking behavior: Correlations between neighborhood features and fitness tracking data
Ozgiin Balahan
Introduction
245(2)
Leisure walk
247(1)
Methodology and data
248(4)
Results
252(3)
Destinations
255(3)
Conclusion and future work
258(2)
References
260(3)
14 Spacemaker. AI: Using AI in developing urban block variations
Jeffrey Landes
Generative design
263(3)
Tools at Spacemaker
266(3)
Case study
269(17)
Conclusion
286(7)
15 Mobius evolver: Competitive exploration of urban massing strategies
Patrick Jansscn
Tung Do Phuong Bui
Likai Wang
Introduction
293(2)
Competitive evolutionary design exploration
295(7)
Demonstration
302(13)
Discussion
315(3)
Conclusions
318(1)
Acknowledgment
319(1)
References
319(4)
16 Adaptive master plans: Flexible modular design strategies
Martin Biclik
Reinhard Koenig
Sven Schneider
Introduction
323(1)
Background
324(1)
Methods
324(6)
Applications
330(5)
Conclusions
335(1)
Notes
335(1)
References
336(3)
17 SASAKI: Filling the design gap--Urban impressions with AI
Thiyagarajan Adi Raman
Justin Kollar
Scott Penman
Introduction
339(2)
Background
341(1)
Identifying a "good enough" tool
342(3)
Using GANs to generate urban impressions
345(8)
Key takeaways
353(6)
Toward a sketch tool prototype
359(2)
Conclusions
361(1)
References
362(1)
18 KPF: A retrospective view on urban planning AI for 2020
Snowcria Zhang
Kate Ringo
Richard Chou
Brandon Pachuca
Eric Pietraszkiewicz
Luc Wilson
Preamble
363(1)
Crises and inventions
364(1)
Evolution of tools
365(14)
Conclusions
379(1)
References
380(1)
Index 381
Imdat As is Assistant Professor in the College of Engineering, Technology, and Architecture at University of Hartford. His research and teaching interests include Artificial Intelligence and Deep Learning in Design, Augmented and Virtual Technologies, and Digital Fabrication He is on the Editorial Board of International Journal of Architecture and Planning and his work has been cited in popular and professional media, news coverage, and interviews. Prithwish Basu is Principal Scientist in Network & Cyber Technologies at Raytheon BBN Technologies. He has a Ph.D. in Computer Engineering from Boston University.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97801282394212e.html
Märksõnad: