Browsing by Author "Felsenstein, Daniel"

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    Land use-transportation modeling with UrbanSim: Experiences and progress
    (Journal of Transport and Land Use, 2010) Felsenstein, Daniel; Axhausen, Kay; Waddell, Paul
    As an open source and modular software system using highly disaggregated data for dynamic simulation, UrbanSim has been instrumental in making integrated land-use transportation modeling accessible beyond the bespoke models that characterized earlier generations. The UrbanSim model and the collaborative OPUS framework (Open Platform for Urban Simulation) that it has spawned have stimulated much original progress in this field. The object of this thematic issue of the Journal of Transport and Land Use is to report on this work and to illustrate the various ways UrbanSim has been adapted. However, this special issue is more than just a collection of progress reports. A central theme running through all the papers is that integrated land use-transportation modeling in Europe presents a series of challenges and demands not necessarily present in the United States context in which UrbanSim was developed. Thus, while the UrbanSim system can be technically adapted to European studies given the data and resources, the prevailing land-use transportation environment in Europe differs from the United States.
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    Simultaneous modeling of developer behavior and land prices in UrbanSim
    (Journal of Transport and Land Use, 2010) Felsenstein, Daniel; Ashbel, Eyal
    A strong inter-dependence exists between the decision to develop land and the expected returns to be gained from that development. Current practice in UrbanSim modeling treats developer behavior and the emergence of land prices as independent processes. This assumes that land prices are exogenous to the interaction between buyers and sellers—an assumption that is difficult to sustain in urban economics and real estate research. This paper presents an attempt to model the two processes as occurring simultaneously. Using the UrbanSim model for metropolitan Tel Aviv, we compare the results of forecasts for densities (residential and non-residential) and land values for the period 2001–2020. Our results show that simultaneous estimation tends to produce more accentuated outcomes and volatile trends. The validity of these results and the implications of this approach in the wider context of land use modeling are discussed.