8 research outputs found

    Calibration of the 2UP model:Spinlab Research Memorandum SL-13

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    The 2UP model ā€“ to an Urban Preview ā€“ is developed for the spatially explicit simulation of the future growth of cities and population at a global scale. The model describes urban land use at a fine 30ā€ spatial resolution (approx. 1km near the equator). In the current version of the model, the allocation of urban land use is mainly based on current population densities. To improve this calibration PBL has requested Vrije Universiteit Amsterdam to apply a more advanced, statistics-based calibration procedure that links observed land-use patterns to spatially explicit drivers of urban development. The output of this calibration effort can be used to define the suitability for urban and in the 2UP model. This short memo describes the method applied in calibration and discusses the results

    Evaluating the impact of road infrastructure on household income in Papua New Guinea:Spatial data compilation and analysis

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    As part of the ADB subā€project ā€˜Developing Impact Evaluation Methodologies, Approaches, and Capacities in Selected Developing Member Countriesā€™ two closely related research projects were carried out by VU to evaluate the impact of road infrastructure on household income in Papua New Guinea. One project focused on econometric analysis (contract no. 117629ā€S85196), while the other developed the spatial database needed for this analysis (contract no. 117642ā€S84962). The current report documents the data collection process and provides a concise description of the data that were collected for the project and the analyses that were performed to enrich the available data sources to create meaningful variables for the statistical analysis. It serves as a background document with the scientific paperā€that concisely describes the findings of the two joint research projects

    Verkenning van de toepassingsmogelijkheid van floating car data voor het beschrijven van verplaatsingsgedrag

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    De toenemende beschikbaarheid van nieuwe (big) databronnen en data sciences methoden opent mogelijkheden om op een alternatieve manier verplaatsingsgedrag in termen van herkomst en bestemming, verplaatsingsmotief en routekeuze te analyseren. Dit onderzoeksproject heeft verkend in hoeverre het mogelijk is om floating car data te gebruiken om analyses naar de betrouwbaarheid van reistijden uit te voeren. Het doel hiervan is om die informatie te gebruiken bij het actualiseren en verbeteren van de verkeerā€en vervoermodellen van Rijkswaterstaat

    Theory and Application of Dynamic Spatial Time Series Models

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