Urban dynamics and simulation models / Denisa Pumain, Romain Reuillon.
This monograph presents urban simulation methods that help in better understanding urban dynamics. Over historical times, cities have progressively absorbed a larger part of human population and will concentrate three quarters of humankind before the end of the century. This "urban transition&q...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2017]
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| Series: | Lecture notes in morphogenesis.
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| Subjects: | |
| Online Access: | Springer eBooks |
MARC
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| 100 | 1 | |a Pumain, Denise, |e author. |9 295871 | |
| 245 | 1 | 0 | |a Urban dynamics and simulation models / |c Denisa Pumain, Romain Reuillon. |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2017] | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF | ||
| 490 | 1 | |a Lecture notes in morphogenesis | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Acknowledgements; Contents; Introduction; Why Model Cities?; Originality of the Book; Complex Cities and Complex Models; Book Proposition: Exploring Multiple Parsimonious Models; Book Content; Sec5; 1 Is Urban Future Predictable?; 1.1 Emergence; 1.2 Generic Dynamic Features of Systems of Cities; 1.2.1 The Hierarchical Differentiation of City Sizes; 1.2.2 The Meta-Stability of Urban Hierarchies; 1.2.3 A Regular Quasi-stochastic Process of Growth; 1.2.4 Hierarchical Diffusion of Innovation Waves and Functional Specializations; 1.3 Variety in the Evolution of Urban Systems -- | |
| 505 | 8 | |a 1.3.1 A Simplified Typology of Systems of Cities1.3.2 Systematic Variations in the Rhythm of Urban Growth; 1.4 Urban Future: Models and Scenarios; 1.4.1 Challenges in Building Scenarios About Urban Evolution; 1.4.2 Challenges in Model Validation; References; 2 The SimpopLocal Model; 2.1 Introduction; 2.2 Purpose of SimpopLocal; 2.3 Entities, State Variables and Scales; 2.4 Processes Overview and Scheduling; 2.4.1 Population Growth Mechanism; 2.4.2 Apply Innovation Mechanism; 2.4.3 Create and Diffuse Innovation Mechanisms; 2.5 Initial Conditions; 2.6 Input -- | |
| 505 | 8 | |a 2.7 Running the Model for Parameter Estimates: Calibration2.8 Simulation Results and Return on Observations; References; 3 Evaluation of the SimpopLocal Model; 3.1 Quantitative Evaluation; 3.1.1 Stopping Criterion; 3.1.2 Expectations; 3.1.3 Handling the Stochasticity; 3.2 Automated Calibration; 3.2.1 Optimization Heuristic; 3.2.2 Adaptation of NSGA2 to a Stochastic Model; 3.2.3 Experimental Setup; 3.2.4 Results; 3.3 Calibration Profiles; 3.3.1 Algorithm; 3.3.2 Guide of Interpretation; 3.3.3 Result Analysis; 3.4 Conclusion; References -- | |
| 505 | 8 | |a 4 An Incremental Multi-Modelling Method to Simulate Systems of Cities' Evolution4.1 Introduction; 4.2 Methodological and Technical Framework for Multi-modelling Systems of Cities; 4.2.1 Complementary and Competing Theories; 4.2.2 A Methodology for Implementing Multi-models; 4.2.3 Exploiting the Results of a Family of Models; 4.3 A Family of Models of (Post- ) Soviet Cities: MARIUS; 4.3.1 Ordering Possible Causes of Evolution from the Most Generic to the Most Specific; 4.3.2 Implementing Modular Mechanisms; 4.4 Geographical Insights on (Post- ) Soviet City Growth from Multi-modelling -- | |
| 505 | 8 | |a 4.4.1 Mechanisms' Performance4.4.2 Parameter Values; 4.4.3 Residual Trajectories; 4.5 VARIUS: A Visual Aid to Model Composition and Interpretation; 4.5.1 Building the Model Online; 4.5.2 Running the Model Online; 4.5.3 Analyzing Results Online or 'How Close Are We?'; 4.6 Conclusion; References; 5 Using Models to Explore Possible Futures (Contingency and Complexity); 5.1 Models as Artefacts of Historically Contingent Complex Systems; 5.2 A Method to Foster Diversity in a Model Outcomes; 5.2.1 The Pattern Space Exploration Algorithm: Principles and Implementation. | |
| 520 | |a This monograph presents urban simulation methods that help in better understanding urban dynamics. Over historical times, cities have progressively absorbed a larger part of human population and will concentrate three quarters of humankind before the end of the century. This "urban transition" that has totally transformed the way we inhabit the planet is globally understood in its socio-economic rationales but is less frequently questioned as a spatio-temporal process. However, the cities, because they are intrinsically linked in a game of competition for resources and development, self organize in "systems of cities" where their future becomes more and more interdependent. The high frequency and intensity of interactions between cities explain that urban systems all over the world exhibit large similarities in their hierarchical and functional structure and rather regular dynamics. They are complex systems whose emergence, structure and further evolution are widely governed by the multiple kinds of interaction that link the various actors and institutions investing in cities their efforts, capital, knowledge and intelligence. Simulation models that reconstruct this dynamics may help in better understanding it and exploring future plausible evolutions of urban systems. This would provide better insight about how societies can manage the ecological transition at local, regional and global scales. The author has developed a series of instruments that greatly improve the techniques of validation for such models of social sciences that can be submitted to many applications in a variety of geographical situations. Examples are given for several BRICS countries, Europe and United States. The target audience primarily comprises research experts in the field of urban dynamics, but the book may also be beneficial for graduate students. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed January 25, 2017). | |
| 650 | 0 | |a City planning |x Mathematical models |9 718674 | |
| 650 | 0 | |a Urbanization |x Mathematical models |9 725538 | |
| 700 | 1 | |a Reuillon, Romain, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Pumain, Denise. |t Urban dynamics and simulation models. |d Cham, Switzerland : Springer, [2017] |z 9783319464954 |z 3319464957 |w (OCoLC)957140748 |
| 776 | 1 | 8 | |w (OCoLC)969542662 |w (OCoLC)974650357 |w (OCoLC)981888977 |
| 830 | 0 | |a Lecture notes in morphogenesis. |9 830109 | |
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