The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Multi-Agent Systems for Urban Planning
|
|
Author(s): Andrew T. Crooks (George Mason University, USA), Amit Patel (George Mason University, USA)and Sarah Wise (University College London, UK)
Copyright: 2014
Pages: 28
Source title:
Technologies for Urban and Spatial Planning: Virtual Cities and Territories
Source Author(s)/Editor(s): Nuno Norte Pinto (The University of Manchester, UK), José António Tenedório (Universidade NOVA de Lisboa, Portugal), António Pais Antunes (University of Coimbra, Portugal)and Josep Roca Cladera (Technical University of Catalonia, BarcelonaTech, Spain)
DOI: 10.4018/978-1-4666-4349-9.ch003
Purchase
|
Abstract
Cities provide homes for over half of the world's population, and this proportion is expected to increase throughout the next century. The growth of cities raises many questions and challenges for urban planning including which cities and regions are most likely to grow, what the pattern of urban growth will be, and how the existing infrastructure will cope with such growth. One way to explore these types of questions is through the use of multi-agent systems (MAS) that are capable of modeling how individuals interact and how structures emerge through such interactions, in terms of both the social and physical environment of cities. Within this chapter, the authors focus on how MAS can lead to insights into urban problems and aid urban planning from the bottom up. They review MAS models that explore the growth of cities and regions, models that explore land-use patterns resulting from such growth along with the rise of slums. Furthermore, the authors demonstrate how MAS models can be used to model transportation and the changing demographics of cities. Through these examples the authors also demonstrate how this style of modeling can give insights into such issues that cannot be gleamed from other modeling methodologies. The chapter concludes with challenges and future research directions of MAS models with respect to capturing the dynamics of human behavior in urban planning.
Related Content
|
Li Shun, Siti Norzaini Zainal Abidin, Myzatul Aishah Kamarazaly.
© 2026.
36 pages.
|
|
TamilSalvi Mari, Ariventhar Ayahvoo, Sujatavani Gunasagaran.
© 2026.
40 pages.
|
|
Khairool Aizat Ahmad Jamal, Shahrul Yani Said, Siti Norlizaiha Harun, Ahmad Fahmi Zainazlan, Noor Azeyah Khiyon.
© 2026.
36 pages.
|
|
Changsaar Chai, Ming Gai, Haw Yang Ang, Chia Kuang Lee, Wan Siang Chong, Mervyn Hsin Jyi Wong.
© 2026.
32 pages.
|
|
Nur Syaimasyaza Mansor, Hong Cing Cing.
© 2026.
26 pages.
|
|
Erna Looi, Sujatavani Gunasagaran, TamilSalvi Mari.
© 2026.
44 pages.
|
|
Yufeng Niu, Changsaar Chai, Yaoli Xiong.
© 2026.
28 pages.
|
|
|