Agent-Based Modelling of Residential Mobility, Housing Choice and Regeneration

Jordan, René; Birkin, Mark; Evans, Andrew

doi:10.1007/978-90-481-8927-4_25

Cited by 28 publications

(21 citation statements)

References 23 publications

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“…Agent-based models have been used to successfully model urban environments in a wide variety of applications including: 1) civil and environmental transportation analysis [13] 2) geographic information systems (GIS) for visualizing patterns and trends in spatial areas [14] and 3) archaeological studies of land site usage in ancient civilizations [15].…”

Section: Related Workmentioning

confidence: 99%

“…In many of these systems, each agent represents an individual person or vehicle, thus giving rise to the question of how to initialize the models to create behavior that is realistic in both the individual and aggregate sense. The four methods customarily employed are: 1) agents are randomly initialized using a reasonable range of parameters [13]; 2) recommendations from domain expert are used to guide parameter selection; 3) agents are designed to directly mimic actual members of the population [14]; 4) a hybrid combination of random initialization and expert guidance is employed at initialization [15]. In contrast, our simulation attempts to mirror the population using a series of fitted distributions rather than mimicking specific individuals within the population.…”

Section: Related Workmentioning

confidence: 99%

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Extracting Agent-Based Models of Human Transportation Patterns

Beheshti

Sukthankar

2012

2012 International Conference on Social Informatics

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Abstract-Due to their cheap development costs and ease of deployment, surveys and questionnaires are useful tools for gathering information about the activity patterns of a large group and can serve as a valuable supplement to tracking studies done with mobile devices. However in raw form, general survey data is not necessarily useful for answering predictive questions about the behavior of a large social system. In this paper, we describe a method for generating agent activity profiles from survey data for an agent-based model (ABM) of transportation patterns of 47,000 students on a university campus. We compare the performance of our agent-based model against a Markov Chain Monte Carlo (MCMC) simulation based directly on the distributions fitted from the survey data. A comparison of our simulation results against an independently collected dataset reveals that our ABM can be used to accurately forecast parking behavior over the semester and is significantly more accurate than the MCMC estimator.I. INTRODUCTION Agent-based simulations have been used successfully for modeling human social systems in diverse fields including economics, sociology, anthropology, and archaeology [1]. A perennial question that arises in the development of an agentbased simulation is how to initialize the models to create a realistic population of agents. In simple models with few parameters, it is feasible to perform a sensitivity analysis to explore the effects of the parameters on the performance of the simulation. However in more complicated agent decisionmaking models, creating a realistic population of agents can be challenging due to the larger range of parameters governing the behavior of the simulated entities.Surveys and questionnaires can be used to collect an accurate static snapshot of the behavior of large social systems but lack the predictive power of simulations. It is more difficult to explore "what-if" questions with a survey since posing questions to participants about hypothetical scenarios can be problematic due to human cognitive biases such as anchoring or risk-aversion. In this paper, we show how both methodologies, surveying and agent-based simulation, can be combined to model human social systems with higher verisimilitude and to explore the ramifications of different behavior patterns and trends.This paper specifically addresses the problem of creating individual agent profiles for an activity-based microsimulation model of transportation, dining, parking, and building

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Extracting Agent-Based Models of Human Transportation Patterns

Beheshti

Sukthankar

2012

2012 International Conference on Social Informatics

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“…• Monthly, some families enter as buyers in the real estate market [12] and there are always more empty houses than occupied ones [15].…”

Section: Policyspace In a Nutshellmentioning

confidence: 99%

Modeling Tax Distribution in Metropolitan Regions with PolicySpace

Furtado¹

2019

JPCS

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Brazilian executive body has consistently vetoed legislative initiatives easing creation and emancipation of municipalities. The literature lists evidence of the negative results of municipal fragmentation, especially so for metropolitan regions. In order to provide evidences for the argument of metropolitan union, this paper quantifies the quality of life of metropolitan citizens in the face of four alternative rules of distribution of municipal tax collection. Methodologically, a validated agent-based spatial model is simulated. On top of that, econometric models are tested using real exogenous variables and simulated data. Results suggest two central conclusions. First, the progressiveness of the Municipal Participation Fund and its relevance to a better quality of life in metropolitan municipalities is confirmed. Second, municipal financial merging would improve citizens' quality of life, compared to the status quo for 23 Brazilian metropolises. Further, the paper presents quantitative evidence that allows comparing alternative tax distributions for each of the 40 simulated metropolises, identifying more efficient forms of fiscal distribution and contributing to the literature and to contemporary parliamentary debate.

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“…(Castle, 2007), modelos de segregación social (Benenson et al, 2002;Crooks, 2006;Feitosa et al, 2011), modelos de asignación de empleo y residencias (Crooks, 2006), dinámi-cas económicas de mercado relacionada con los usos del suelo y distribución residencial (Filatova et al, 2009;Ettema, 2011). Otras aplicaciones se detienen más en explicar fenó-menos relacionados con la ciudad y la asignación de viviendas a un nivel intraurbano (Dearden y Wilson, 2012;Jordan et al, 2012).…”

Section: Los Modelos Basados En Agentes Aplicados a Estudios Urbanosunclassified

“…En la literatura de modelación urbana podemos encontrar diversos ejemplos de agrupaciones de agentes, según la edad (Fokkema y Vanwissen, 1997) o ciclos de vida (soltero, casado sin hijos, casado con hijos, jubilado, etc.) (Die-leman, 2001;Fontaine y Rounsevell, 2009;Jordan, Birkin y Evans, 2012). En nuestro caso, y por las características del modelo y los agentes implicados, se ha decidido establecer una diferenciación en función del poder adquisitivo familiar (nivel de renta alta, media o baja), cuya agrupación también comparten otros autores (Barros, 2004;Aguilera y Ugalde, 2007).…”

Section: Iv1 Agentesunclassified

Diseño de un modelo basado en agentes para simular el crecimiento urbano en el Corredor del Henares (Comunidad de Madrid)

Cantergiani¹,

Delgado²

2016

BAGE

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RESUMENAnte el impacto que la expansión urbana ejerce sobre el planeta y sobre su población, resulta esencial la utilización de técnicas de simulación que nos permitan elaborar escenarios sobre la evolución de estos sistemas. En este sentido, los Modelos Basados en Agentes (MBA) se presentan como una alternativa prometedora. Los MBA son modelos celulares y dinámicos que se basan en reglas de decisión y que permiten incorporar el comportamiento de los agentes involucrados en un determinado sistema. En esta investigación proponemos un diseño de un MBA para simular el crecimiento urbano en el Corredor del Henares (Comunidad de Madrid, España), teniendo en cuenta su dinámica urbana, los principales agentes involucrados en este proceso de expansión, su aspecto comportamental, así como la información espacial disponible. El principal objetivo es disponer de un diseño conceptual sólido, para posteriormente demostrar que los MBA pueden ser útiles como herramienta alternativa para simular el crecimiento urbano a escala subregional.Palabras clave: modelos basados en agentes, simulación de crecimiento urbano, Corredor del Henares, Comunidad de Madrid (España), Sistemas de Información Geográfica. ABSTRACTDue to urban sprawl impact over the planet and the population, the use of simulation techniques that generate scenarios regarding the evolution of those systems is imperative. Agent-based models (ABM) are presented as a promising alternative. ABM is a dynamic cellular model based on decision rules guided by the behaviour of agents. In the present work, we propose the design of an ABM to simulate urban growth in `Corredor del Henares´ (Community of Madrid, Spain), considering its urban dynamics and the main involved agents, as well as their particular behaviour and the available data. The main goal is to have a solid conceptual design in order to prove, in a short time, that ABM can be an alternative tool to simulate urban growth at a sub-regional scale.Keywords: agent-based models, urban growth simulation, `Corredor del Henares´, Community of Madrid (Spain), Geographic Information Systems. I. INTRODUCCIÓNEl impacto que la expansión urbana está y seguirá ocasionando sobre el planeta y sobre la población que lo habita es innegable. Ante esta situación, resulta esencial la utilización de técnicas de simulación que nos permitan elaborar distintos escenarios sobre la evolución de estos sistemas y así planificar de una forma racional y sostenible los futuros desarrollos urbanos. En este sentido, es cada día más habitual la utilización de modelos de simulación por parte de científicos expertos en materia territorial. Estos modelos, enfocados a la simulación de escenarios futuros (Paegelow y Camacho Olmedo, 2008;Carsjens, 2009;Hansen, 2010;Santé et al., 2010) se presentan como potentes herramientas para analizar y evaluar cuestiones ambientales y territoriales y, en general, cuestiones relacionadas con los procesos de toma de decisiones en planificación, contexto en el que se integra el presente trabajo.En general, estos modelos u...

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Agent-Based Modelling of Residential Mobility, Housing Choice and Regeneration

Cited by 28 publications

References 23 publications

Extracting Agent-Based Models of Human Transportation Patterns

Extracting Agent-Based Models of Human Transportation Patterns

Modeling Tax Distribution in Metropolitan Regions with PolicySpace

Diseño de un modelo basado en agentes para simular el crecimiento urbano en el Corredor del Henares (Comunidad de Madrid)

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