A Geostatistical Modeling of Urban Land Values in Milwaukee, Wisconsin

Most studies on urban land values focus on the determinants, using hedonic land price models with the consideration of the physical and socio-economic factors. This article employs geostatistical methods to analyze urban land values. Through a case study of Milwaukee, we set up semivariogram models and 3-D TIN surface models for urban land values, and explore anisotropy characteristics and the relationships of land values among different types of land use. We have found that spatial dependency is a salient feature of urban land values, and spatial clustering of land values varies with type and location of land use. Our models can detect and well explain spatial autocorrelations of urban land values. We demonstrate that geostatistical methods have a great potential when applied in the urban context

Modelling and simulating land development processes in Shanghai

This thesis groups four papers to investigate the growth and evolution mechanisms behind urban land use change through multiple computer-based modelling and simulation approaches. The first paper theorizes land development in Shanghai into five modes and then delineates the location and estimates the magnitude of each of the land development modes in Shanghai. This paper lays down the groundwork for the following papers on land use change modelling and simulation in Shanghai. The second paper develops the Population-Driven Urban Land Development (PDULD) to simulate the land development and population dynamics of Jiading New City, one of the suburban districts in Shanghai. The third paper develops the Location-based Firm Profit (LbFP) model to delineate how urban land use growth may lead to the spatial structural transformation of industries. The fourth paper then furthers the industrial land use study and proposes the Industrial and Residential Land Use Competition Model (IRLUCM) to simulate the dynamic spatial transformation of industrial land use in Shanghai.ATIC, TECTERRA, AMETHYST, University of Lethbridge, Mitac