2,269 research outputs found

    Introducing MATSim

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    The MATSim project (MATSim, 2016) started with Kai Nagel, then at ETH Zürich, and his interest in improving his work with, and for, the TRANSIMS (TRansportation ANalysis and SIMulation System) project (Smith et al., 1995; FHWA, 2013); he also wanted to make the resulting code open source. After Kai Nagel’s departure to Berlin in 2004, Kay W. Axhausen joined the team, bringing a different approach and experience. A collaboration, successful and productive for more than 10 years, was thus established, combining a physicist’s and a civil engineer’s perspective, as well as bringing together expertise in traffic flow, large-scale computation, choice modeling and CAS (Complex Adaptive Systems)

    A multiscale classification of urban morphology

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    Various studies in the field of urban planning and design have given recommendations for "good urban forms," suggesting that specific spatial characteristics inform the quality of an urban landscape and the way people perceive and behave in them. When modeling spatial behavior in the form of location choice models or hedonic prices, we should reflect these spatial characteristics through the integration of quantitative attributes such as model variables, which is currently only done in a very limited way. The increasing availability of disaggregated geodata enlarges the options to characterize urban morphology in the form of such attributes. The question for the researcher is which attributes are most useful to reflect characteristics of urban morphology and how can they be processed from the given data. In this paper, we want to address this issue and give an overview of quantitative descriptions of urban morphology. We base our work on a data model that is simple enough to allow for reproducibility in any study area. These attributes are classified in multiple scales to reflect different perceptions of urban morphology. In a case study on the canton of Zurich, we furthermore prove how these characteristics allow for the definition of urban typologies at different scales.Schirmer, Patrick M.; Axhausen, Kay W.. (2016). A multiscale classification of urban morphology. Retrieved from the University Digital Conservancy, 10.5198/jtlu.2015.667

    sj-pdf-1-trr-10.1177_03611981221087233 – Supplemental material for Impact of the COVID-19 Pandemic on Activity Time Use and Timing Behavior in Switzerland

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    Supplemental material, sj-pdf-1-trr-10.1177_03611981221087233 for Impact of the COVID-19 Pandemic on Activity Time Use and Timing Behavior in Switzerland by Raphael Mesaric, Aupal Mondal, Katie Asmussen, Joseph Molloy, Chandra R. Bhat and Kay W. Axhausen in Transportation Research Record</p

    Modelling hedonic residential rents for land use and transport simulation while considering spatial effects

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    JTLU vol 3, no 2, pp 39-63 (2010)The application of UrbanSim requires land or real estate price data for the study area. These can be difficult to obtain, particularly when tax assessor data and data from commercial sources are unavailable. The article discusses an alternative method of data acquisition and applies hedonic modeling techniques in order to generate the required data. Many studies have highlighted that ordinary least square (OLS) regression approaches lack the ability to consider spatial dependency and spatial heterogeneity, consequently leading to biased and inefficient estimations. Therefore, a comprehensive data set is used for modeling residential asking rents by applying and comparing OLS, spatial autoregressive, and geographically weighted regression (GWR) techniques. The latter technique performed best with regard to model fit, but the issue of correlated coefficients favored a spatial simultaneous autoregressive model. Overall, the article reveals that when housing markets are a particular concern in UrbanSim applications, significant efforts are needed for the price data generation and modeling. The study concludes with further development potentials for UrbanSim.Löchl, Michael; Axhausen, Kay. (2010). Modelling hedonic residential rents for land use and transport simulation while considering spatial effects. Retrieved from the University Digital Conservancy, 10.5198/jtlu.v3i2.117
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