An Agent Based Model For The Simulation Of Urban Land Use Change At A Cadastral Scale
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An Agent Based Model For The Simulation Of Urban Land Use Change At A Cadastral Scale
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Author : Anthony Jjumba
language : en
Publisher:
Release Date : 2009
An Agent Based Model For The Simulation Of Urban Land Use Change At A Cadastral Scale written by Anthony Jjumba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Geographic information systems categories.
Cities are complex systems in which the diverse stakeholders, who have conflicting values and priorities, interact to directly influence the process of urban land use change. These interactions, which are characterized by a strong competition for space, can be represented by an agent-based model in order to better understand and analyze urban systems, and to forecast possible future urban land use patterns. In this study, an agent-based model that simulates the process of urban land-use change at a cadastral scale by modeling the actions of the key stakeholders in the city has been developed. The generated simulation outcomes provide various land use change scenarios and they indicate that the urban planning policies implemented in the model and the characteristics of relocating households influence the changes in land use patterns. This study contributes to the advancement of agent-based models that can assist in the process of urban land use planning.
Dynamic Land Use Cover Change Modelling
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Author : Jamal Jokar Arsanjani
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-01
Dynamic Land Use Cover Change Modelling written by Jamal Jokar Arsanjani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-01 with Technology & Engineering categories.
The thesis is an original and novel contribution to land use/land cover change analysis using methods of geosimulation and agent-based modeling. The author implements several traditional methodologies of land use change by means of remote sensing and GIS techniques. An Agent-Based Model was developed in order to simulate land use change in the Tehran metropolitan area, comparing the outcomes of each particular methodology. All methods are compared, and advantages and disadvantages discussed.
Agent Based Models Of Geographical Systems
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Author : Alison J. Heppenstall
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-24
Agent Based Models Of Geographical Systems written by Alison J. Heppenstall and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-24 with Social Science categories.
This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.
Agent Based Modelling Of Urban Systems
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Author : Mohammad-Reza Namazi-Rad
language : en
Publisher: Springer
Release Date : 2017-01-10
Agent Based Modelling Of Urban Systems written by Mohammad-Reza Namazi-Rad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-10 with Computers categories.
This book constitutes revised, selected, and invited papers from the First International Workshop on Agent Based Modelling of Urban Systems, ABMUS 2016, held in conjunction with AAMAS 2016 in Singapore in May 2016. The 11 papers presented in this volume were carefully reviewed and selected from 20 submissions. They were organized in topical sections named: urban systems modeling; traffic simulation in urban modeling; and applications.
The Use Of Agent Based Models As Virtual Laboratories For Exploring Human Environment Interactions In Land Use Systems
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Author : Nicholas Magliocca
language : en
Publisher:
Release Date : 2012
The Use Of Agent Based Models As Virtual Laboratories For Exploring Human Environment Interactions In Land Use Systems written by Nicholas Magliocca and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Land-cover changes from human land-uses are seen as primary sources of global environmental change. The multitude of forces influencing land change and the complexity of their interactions present substantial challenges for connecting land-use changes to their causes at and between local, regional, and global scales. Due to this complexity, simulation modeling is a primary tool for conceptualizing land-use system structure and testing causal explanations of observed patterns of land changes. Inductive modeling methods, which have been the dominant approach in land change science, have advanced understanding of global patterns and driving forces of land-use and -cover change (LUCC). However, because land-use systems exhibit nonlinear dynamics driven by adaptive responses of human decision-makers, deductive modeling methods that build process-based understanding of land change are also needed. Using two different agent-based models as virtual laboratories, this dissertation explores how individual land users' decision-making processes translate into observed land-use patterns across a spectrum of different land-use systems. The first model represented the decision-making models and interactions of consumer, farmer, and developer agents in land and housing markets in an expanding ex-urban land-use system, which produced development patterns characteristic of 'urban sprawl' from the bottom-up. The same modeling framework was adapted to experimentally test alternative developer decision-making models, and results indicated cognitive biases and credit constraints may lead to inefficient land-use patterns and impediments to adopting ecological subdivision designs. The second model tested mechanistic explanations of empirically-based, system-level patterns of agricultural change due to individual land-user responses to changing environmental, demographic, and economic conditions. Results demonstrated threshold transitions between alternative livelihood strategies defined by interactions between market influence and population pressure. The model was then expanded and applied to a range of real land-use systems. Comparisons across six sites illustrated the varying effects of common processes driving land-use change, and revealed important mechanisms that influenced agents' land-use decisions and resulting patterns of LUCC. Ultimately, agent-based virtual laboratories made explicit and testable connections between individual decision-making processes and system-level patterns of LUCC. I conclude with a synthesis of the insights gained from model experiments, and put forth a framework for a general land systems theory.
Agent Based Modelling And Landscape Change
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Author : James D. A. Millington
language : en
Publisher: MDPI
Release Date : 2018-09-27
Agent Based Modelling And Landscape Change written by James D. A. Millington and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Electronic book categories.
This book is a printed edition of the Special Issue "Agent-Based Modelling and Landscape Change" that was published in Land
Agent Based Modelling In Population Studies
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Author : André Grow
language : en
Publisher: Springer
Release Date : 2016-08-11
Agent Based Modelling In Population Studies written by André Grow and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-11 with Social Science categories.
This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly. Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories. In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours. Earlier versions of the papers in this book have been presented at the workshop “Recent Developments and Future Directions in Agent-Based Modelling in Population Studies,” which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.
Modeling Of Land Use And Ecological Dynamics
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Author : Dan Malkinson
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-09
Modeling Of Land Use And Ecological Dynamics written by Dan Malkinson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-09 with Political Science categories.
As cities are rapidly expanding and encroaching into agricultural and natural areas, a question of primary concern is how this expansion affects surrounding agriculture and natural landscapes. This book presents a wide spectrum of both theoretical and empirical approaches to simulation and assessment of landscape dynamics. The first part presents state-of-the-art modelling approaches pertaining to land-use changes entailed by the urban sprawl, at different spatial resolutions and temporal time scales. The second part is dedicated to case studies of the effects and consequences of the emerging urban-agriculture open space patterns.
Agent Based Modeling Of Sustainable Behaviors
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Author : Amparo Alonso-Betanzos
language : en
Publisher: Springer
Release Date : 2017-01-06
Agent Based Modeling Of Sustainable Behaviors written by Amparo Alonso-Betanzos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-06 with Social Science categories.
Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.
Geospatial Analysis To Support Urban Planning In Beijing
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Author : Ying Long
language : en
Publisher: Springer
Release Date : 2015-10-14
Geospatial Analysis To Support Urban Planning In Beijing written by Ying Long and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-14 with Social Science categories.
This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas. It investigates the relationships between human behaviors and spatial patterns in order to simulate activities in an urban space, visualize planning alternatives, and support decision making. The book first explains urban space using geometric patterns, such as points, networks, and polygons, that help identify patterns of household and individual human behavior. Next, it details how novel simulation methodologies, such as cellular automaton and multi-agent systems, and conventional urban modeling, such as spatial interaction models, can be used to identify an optimal or a simulated solution for a better urban form. The book develops a comprehensive land use and transportation integrated model used to explore the spatial patterns of mutual interaction between human mobility and urban space. This model can help forecast the distribution of different types of households, rent prices, and land prices, as well as the distribution of routes and traffic volume based on an appraisal of labor demand and supply. This book shows how geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning. Offering both novel and conventional approaches to urban modeling, it will appeal to researchers, students, and policy makers looking for the optimal way to plan the d evelopment of a mega-metropolitan area.