MARS meets ANIMAP: Interlinking the Model MARS with dynamic Internet Cartography

Emberger, Guenter; Pfaffenbichler, Paul; Riedl, Leopold

doi:10.4113/jom.2010.1079

Cited by 4 publications

(3 citation statements)

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“…Part of the solution, at least during the analysis, might be to use an interactive interface that allows the modeller to link zones to behavioural dynamics of the base ensemble. This would be similar to the work of Emberger et al (2009), yet also able to show the uncertainty bandwidth.…”

Section: Discussionsupporting

confidence: 78%

Spatial impact of automated driving in urban areas

Legêne

Auping

Correia

2020

Journal of Simulation

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Urban form develops in close feedback with different modes of transportation. The introduction and adoption of automated vehicles (AVs) are expected to have an impact on the development of cities as well, as the use of AVs may, for example, lead to more efficient road use and less need for parking spaces. In order to study those impacts, we developed a geospatially disaggregated system dynamics (SD) model, through the use of subscripts, of the Copenhagen metropolitan region. We used this SD model to explore the consequences of 12 main uncertainties related to the introduction of AVs on urban development and develop future scenarios following the exploratory modelling and analysis methodology. Our analysis led to two distinct scenarios. In one scenario, AVs lead to more vehicle use, which leads to more urban sprawl and more congestion as a consequence. In the other scenario, more shared use of cars leads to less traffic and more open space in the city.

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Section: Discussionsupporting

confidence: 78%

Spatial impact of automated driving in urban areas

Legêne

Auping

Correia

2020

Journal of Simulation

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“…The contributions in simulation models for urban planning are extensive. For the context of this work we highlight those proposed around MARS (Emberger et al, 2010) (Pfaffenbichler et al, 2010), UrbanSim (Waddell, 2002), and LUTI (Torrens, 2000). Recently we proposed BUS(Bogota Urban Simulator) (Guzman, 2018) (Vivas et al, 2021) to integrate in a platform a Bogotá-LUTI model using Vensim (Eberlein and Peterson, 1992), with two other models (Economic general equilibrium, and urban structure) using a SOA approach for the deployment.…”

Section: Related Workmentioning

confidence: 99%

A Spatio-Temporal Visual Analytics Tool for Simulated Transport Oriented-Land Use Urban Planning Data

Zorro

Meza

Acosta

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This article presents a proposal framed in urban visual analytics, which aims to facilitate the exploration and analysis of zonal spatial indicators over time for a case of a large city-region. The context in which this exploration is carried out is the evaluation of the impact of interventions in land use and transportation, based on data produced by an integrated simulation system. The large amount of data to evaluate a scenario makes urgent the effort to design new interactive analysis environments. The resulting prototype (VIZ-BUS: Visual Analytics for Bogota Urban Simulator) has, for its design, an analyst-centric approach to the analysis task. Our first web deployment has been very well received by urban planning specialists in order to evaluate scenarios for a sustainable and smart city-region.

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“…In terms of measuring accessibility, Achuthan et al (2010) report on the development of a GIS-based tool 'AMELIA' to map accessibility measures at the micro level, and Colclough and Owen (2010) produced a bespoke GIS model to produce a pedestrian accessibility map that accounts for the effects of gradient and demographics on walk speed. Emberger et al (2010) discuss a dynamic cartography application, which when linked to a transport planning model, can be used to illustrate the spatial effects chronologically of transport policy decisions.…”

Section: Helen Muirmentioning

confidence: 99%

Editorial: Mapping the Impacts of Transport

Muir

2010

Journal of Maps

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MARS meets ANIMAP: Interlinking the Model MARS with dynamic Internet Cartography

Cited by 4 publications

References 1 publication

Spatial impact of automated driving in urban areas

Spatial impact of automated driving in urban areas

A Spatio-Temporal Visual Analytics Tool for Simulated Transport Oriented-Land Use Urban Planning Data

Editorial: Mapping the Impacts of Transport

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