Simulación del crecimiento urbano con AMEBA: Modelo Basado en Agentes para la ocupación residencial

Cantergiani, Carolina de Carvalho; Delgado, Montserrat Gómez

doi:10.21138/bage.2910

Cited by 4 publications

(5 citation statements)

References 44 publications

(43 reference statements)

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“…Boletín de la Asociación de Geógrafos Españoles, 88"residencial multifamiliar" en el escenario Un corredor superpoblado. Tanto la accesibilidad por carretera como la distancia a carreteras principales (esta última excluida por la elevada correlación entre ambas), son factores críticos en la mayoría de los estudios enfocados a comprender el crecimiento urbano (Hamdy, Zhao, Osman, Salheen & Eid, 2016;Li, Li & Wu, 2018) (Cantergiani & Gómez Delgado, 2020;. En este sentido, está delimitada selección de variables se justifica en el contexto del taller de cartografía colaborativa, donde los factores explicativos intentaron ajustarse a los elementos presentados en la cartografía disponibles para los expertos.…”

Section: Resultados De La Rlgpunclassified

Regresión Logística Geográficamente Ponderada para identificar los factores explicativos de la distribución de usos de suelo en escenarios futuros de crecimiento urbano

Molinero-Parejo

Benavente

Delgado

2021

BAGE

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La expansión urbana es un proceso espacio-temporal que refleja los patrones de localización de la población y sus actividades, pudiendo provocar impactos irreversibles sobre el territorio. La construcción de narrativas y el posterior cartografiado de escenarios futuros se ha revelado como una estrategia de planificación que puede ayudar en la organización de los usos del suelo y el transporte. El Corredor del Henares (Madrid) se ha escogido como caso de estudio, representando la evolución espacial de cinco usos del suelo urbano en tres escenarios disruptivos para 2050. El presente trabajo tiene como objetivo determinar qué factores explicativos influyeron en la distribución espacial de los cinco usos que se proyectaron en un previo taller de cartografía colaborativa. De esta forma, se pretende obtener información más precisa acerca de los factores explicativos del cambio de uso en cada escenario, que posteriormente pudiera ser aplicable a nuevos modelos espaciales de simulación urbana. Así, dado el carácter ubicuo de los procesos de urbanización, se empleó Regresión Logística Geográficamente Ponderada al permitir un análisis espacial de las relaciones entre los factores explicativos que los modelos globales no permiten estudiar. Los resultados obtenidos mostraron coincidencias entre los factores más significativos del modelo y las narrativas de los escenarios.

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Section: Resultados De La Rlgpunclassified

Regresión Logística Geográficamente Ponderada para identificar los factores explicativos de la distribución de usos de suelo en escenarios futuros de crecimiento urbano

Molinero-Parejo

Benavente

Delgado

2021

BAGE

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“…The study area covers 11 municipalities (Ajalvir, Alcalá de Henares, Anchuelo, Azuqueca de Henares, Camarma de Esteruelas, Daganzo de Arriba, Los Santos de la Humosa, Meco, Torrejón de Ardoz, Villalbilla and Villanueva de la Torre) with a total population of 417,773 inhabitants (National Statistics Institute, 2018). They are small and medium‐sized towns with an important industrial fabric and a variety of territorial and social dynamics (Barreira‐González et al., 2019; Cantergiani & Gómez‐Delgado, 2020). The study area extends over a total of 325 km 2 , of which 57 km are built‐up areas.…”

Section: Methodsmentioning

confidence: 99%

Adapting moving‐window metrics to vector datasets for the characterization and comparison of simulated urban scenarios

Molinero‐Parejo,

Aguilera‐Benavente,

Gómez‐Delgado

2024

Transactions in GIS

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Descriptive scenarios about the possible evolution of land use in our cities are essential instruments in urban planning. Although the simulation of these scenarios has enormous potential, further characterization is needed in order to be able to evaluate and compare them so as to provide more effective support for public policy. One of the most commonly used tools for assessing these scenarios is spatial moving‐window metrics, a useful mechanism for extracting accurate information from simulated land‐use maps on urban diversity and urban growth patterns. This article seeks to explore this question further and has two main aims. First, to develop and implement vSHEI and vLEI, two multiscale composition and configuration vector moving‐window metrics for calculating urban diversity and urban growth patterns. Second, to test these metrics using the spatially explicit simulation of three prospective scenarios in the Henares Corridor (Spain), comparing the results and analyzing how well the scenario narratives match their spatial configuration, as measured using vSHEI and vLEI. Via the implementation of vSHEI and vLEI, we obtained urban diversity and urban expansion values at a local level, offering more precise and more realistic, mappable information on the composition and configuration of urban land use than that provided by raster metrics or by vector Patch‐Matrix model metrics. We also used these metrics to test whether the simulated scenarios matched their description in the narrative storylines. Our results demonstrate the potential of vector moving‐window metrics for characterizing the urban patterns that might develop under different scenarios at the parcel level.

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“…Motivated by the works of ABM researchers in the field of urban planning related to land use and land cover change [1][2][3][4] and reviews from An et al [6], Groeneveld et al [7], and Rounsevell et al [5], we develop an agent-based model for the Cornavin-Meyrin-CERN axis, one of the most important transportation axis in the canton of Geneva. Its main purpose is to model and visualise the evolution of commuting patterns in the area during the 2010-2022 time frame, in response to the establishment of new buildings, and to changes in the public transportation offer.…”

Section: Case Study Detailsmentioning

confidence: 99%

“…Urban management decision-makers, policy makers, and the scientific community recognise the high importance of monitoring the dynamics of land cover change and the evolution of public transportation offer, before, during, and after, urban expansion projects are planned and achieved [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Agent-based modelling of commuting patterns in Geneva, Switzerland, towards portraying urban expansion and land cover changes.

Chambers,

Cruz,

Serugendo

2023

Preprint

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Agent-based modelling has been used in many studies of urban expansion, land use and land cover change patterns. Indeed, this method represents a powerful tool for depicting and formulating predictions about the evolution of interconnected complex systems. We present an agent-based model developed in GAMA for analysing commuting patterns in the canton of Geneva, Switzerland, and fully document our modelling methodology, to provide inspiration and a materials and methodology basis for future modelling efforts. All datasets and codes related to this work are distributed in open access, and a general methodology for adapting the model to other use cases is discussed. Main findings revolve around the analysis of the impact of public transportation offer changes on journey by tram length. With our given set of initial conditions, when decreasing tram offer on the major Cornavin-Meyrin-CERN axis, journey-to-work length skyrockets for a handful of commuters. This phenomenon is correlated with an observed increase in overcrowded trams in the system. Furthermore, increasing tram offer alongside the emergence of a new large eco-district helps dampen the steady increase in journey length caused by the influx of new commuters and the saturation of the network. The model presented in this paper is early work in developing agent-based models for simulating urban expansion and land cover change dynamics.

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Simulación del crecimiento urbano con AMEBA: Modelo Basado en Agentes para la ocupación residencial

Cited by 4 publications

References 44 publications

Regresión Logística Geográficamente Ponderada para identificar los factores explicativos de la distribución de usos de suelo en escenarios futuros de crecimiento urbano

Regresión Logística Geográficamente Ponderada para identificar los factores explicativos de la distribución de usos de suelo en escenarios futuros de crecimiento urbano

Adapting moving‐window metrics to vector datasets for the characterization and comparison of simulated urban scenarios

Agent-based modelling of commuting patterns in Geneva, Switzerland, towards portraying urban expansion and land cover changes.

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