CityDev, an interactive multi-agents urban model on the web

Semboloni, Ferdinando; Assfalg, J.; Armeni, Saverio; Gianassi, Roberto; Marsoni, Francesco

doi:10.1016/s0198-9715(02)00047-9

Cited by 38 publications

(16 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies on agent-based models include: simulation of residential dynamics in the city (Benenson 1998), dynamics of pedestrian behaviour in streets (Batty 2001;Kerridge et al 2001;Schelhorn et al 1999), modelling the discrete dynamics of spatial events for mobility in carnivals and street parades , integration of CA and agent-based models to support the exploration of 'what-if' scenarios for urban planning and management (Torrens 2001), and interactive multi-agent simulation model on the web ('CityDev' of Semboloni et al 2004). Other examples of agent based models are Portugali (2000) and Torrens (2003).…”

Section: Agent-based Modelsmentioning

confidence: 99%

Analysis of Urban Growth and Sprawl from Remote Sensing Data

Bhatta

2010

Advances in Geographic Information Science

411

297

View full text Add to dashboard Cite

The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: Bauer, ThomasPrinted on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Chandrani and Bagmi Preface Urban growth and sprawl is a pertinent topic for analysis and assessment towards the sustainable development of a city. Environmental impacts of urban growth and extent of urban problems have been growing in complexity and relevance, generating strong imbalances between the city and its hinterland. The need to address this complexity in assessing and monitoring the urban planning and management processes and practices is strongly felt in the recent years.Determining the rate of urban growth and urban spatial configuration, from remote sensing data, is a prevalent approach in contemporary urban geographic studies. Maps of growth and a classified urban structure derived from remotely sensed data can assist planners to visualise the trajectories of their cities, their underlying systems, functions, and structures. There are currently a number of applications of analytical methods and models available to cities by using the remote sensing data and geographic information system (GIS) techniques, in specific-for mapping, monitoring, measuring, analysing, and modelling.The international participants are increasingly engaged with the urgent environmental tasks for the sustainable development of their urban regions, the planning challenges faced by the local authorities, and the application of remote sensing data and GIS techniques in the analysis of urban growth to meet these challenges. However, despite the promise of new and fast-developing remote sensing technologies, a gap exists between the research-focused results offered by the urban remote sensing community and the application of these data and methods/models by the governments of urban regions. There is no end of interesting scientific questions to ask about cities and their growth, but sometimes these questions do not match the operational problems and concerns of a given city. This necessitates more focused research and debate in the areas covered by this title. Kolkata, India B. Bhatta vii Acknowledgments I am grateful to all the authors of the numerous books and research publications mentioned in the list of references of this book. I have consulted these literatures, picked up the relevant materials, synthesised them and put them in an organised manner with simple language in this book. I express my gratitude to the teachers, researchers and organisations who have contributed a lot to the quality and information content of this book. I am very much thankful to

show abstract

Section: Agent-based Modelsmentioning

confidence: 99%

Analysis of Urban Growth and Sprawl from Remote Sensing Data

Bhatta

2010

Advances in Geographic Information Science

411

297

View full text Add to dashboard Cite

show abstract

“…Several points of view have been used in the past to model cities: cellular automata, multi-agent systems, fractals, stochastic geometry, L-systems and graph theory leading to complex systems' theory. Cellular automata and multi-agents systems have widely and successfully been used to simulate the dynamics of populations and of land use [1]. The fractal description of cities [2] gathers these simulations into a theory and point out the advantages of a fractal shaped city from * thomas.courtat , catherine.gloaguen (at) orange-ftgroup.com; douady (at) lps.ens.fr the point of view of the build-up area.…”

Section: Introductionmentioning

confidence: 99%

Mathematics and morphogenesis of cities: A geometrical approach

2011

View full text Add to dashboard Cite

Cities are living organisms. They are out of equilibrium, open systems that never stop developing and sometimes die. The local geography can be compared to a shell constraining its development. In brief, a city's current layout is a step in a running morphogenesis process. Thus cities display a huge diversity of shapes and none of the traditional models, from random graphs, complex networks theory, or stochastic geometry, takes into account the geometrical, functional, and dynamical aspects of a city in the same framework. We present here a global mathematical model dedicated to cities that permits describing, manipulating, and explaining cities' overall shape and layout of their street systems. This street-based framework conciliates the topological and geometrical sides of the problem. From the static analysis of several French towns (topology of first and second order, anisotropy, streets scaling) we make the hypothesis that the development of a city follows a logic of division or extension of space. We propose a dynamical model that mimics this logic and that, from simple general rules and a few parameters, succeeds in generating a large diversity of cities and in reproducing the general features the static analysis has pointed out.

show abstract

“…Some previous urban simulation studies, such as CityDev (Semboloni et al 2004), model planners and developers as agents in order to investigate the dynamics of planners and developers in response to changes. Because the focus of this study is on the spatial choice behavior of urban residents in response to specific urban planning decisions, it is necessary to keep the planning information intact during the simulation.…”

Section: Planning Information and Regulationmentioning

confidence: 99%

Simulating spatial market share patterns for impacts analysis of large-scale shopping centers on downtown revitalization

et al. 2011

View full text Add to dashboard Cite

The decline of downtown has been observed in many cities across the world. In response, many small cities in Japan, for example, have been taking regeneration efforts including development controls upon large-scale shopping centres (B-shops). It is extremely useful to analyze potential effects of relevant planning policies before implementation. We developed an urban planning support tool, a multi-agent simulation (MAS) model called Shopsim-MAS, to investigate the impacts of some downtown revitalization policies through consequent spatial dynamics of shops' market shares. We discuss methods to model household behaviour and to understand the market area dynamics of shops. The Shopsim-MAS developed in this project proves to be a useful means to analyze the impact of downtown revitalization policies in Japan. It is also expected to be further expanded for impact analysis of similar or more sophisticated urban policies in other parts of the world.

show abstract

CityDev, an interactive multi-agents urban model on the web

Cited by 38 publications

References 1 publication

Analysis of Urban Growth and Sprawl from Remote Sensing Data

Analysis of Urban Growth and Sprawl from Remote Sensing Data

Mathematics and morphogenesis of cities: A geometrical approach

Simulating spatial market share patterns for impacts analysis of large-scale shopping centers on downtown revitalization

Contact Info

Product

Resources

About