An Empirical Model of Urban Spatial Development

Geographical Analysis, 2010

Forest Policy and Economics, 2005

This article examines patterns of rural land development and density using spatial econometric models with the application of Geographical Information System (GIS). The cluster patterns of both development and high-density development indicate that the spatially continuous expansions of development and high-density development exist in relatively remote rural areas. The results also revealed that a closer distance to roads, a closer distance to cities, greater access to streams and rivers, higher elevations, and greater proportions of flat area are valued highly in rural land development.

2002 Annual meeting, …, 2002

We conduct a study to examine the effects of local development pressure and other factors on the value of urban-fringe land parcels. Multiple regression spatial models were estimated using parcel-level data from Delaware County, Ohio. The empirical results provide ...

Journal of Urban Economics, 1983

Using data on 43 randomly selected census tracts for each of 39 U.S. cities in 1970, we present a comprehensive econometric analysis of a varying parameter density gradient (VCM) model in which the functional form, together wrth the variance components of an imphed error structure, is freely estimated. We generahze a recent model of Johnson and Kau in which certain city-and tract-specific socioeconomic variables are introduced to depict the dynamic process of urban growth. Since these variables can be either controlled by policy actions or proJected on the basis of time, we reexamine the usefulness of VCM framework for both forecasting and policy simulation purposes.

2008

This study investigates spatial dependence and mechanisms of regional development in Greater Beijing, China by employing spatial statistical techniques. We have detected positive, strengthening global spatial autocorrelation from 1978 to 2001, and found such strengthening is the result of newly formed/extended clusters in the area. The local analysis recognizes local regimes of two-tier urban-rural spatial structure at the beginning of the reform period. While the urban-rural divide was lessening due to the reform, a north-south divide has emerged because of local natural conditions and development trajectories. Regarding mechanisms of regional development, ordinary least squares analysis is constrained by the existence of significant spatial autocorrelation among spatial units. Analytical results reveal that an error spatial regression model is a more appropriate alternative due to possible mismatch between boundaries of the underlying spatial process and the spatial units where data are organised. In 1995 and 2001, the signs of all the regression coefficients remained the same for both OLS and spatial models. However, their magnitude and significance change. Specifically, foreign direct investment and fixed-asset investment became less influential in the spatial model, while local government spending emerged as more influential.

2014

Transportation Research Record: Journal of the Transportation Research Board, 2001

The corridor-level impact of a recent major urban highway reconstruction project on residential property values is investigated. The housing market encompassing the North Central Expressway corridor in Dallas, Texas, is examined. Hedonic property price models are estimated for each specific phase of the reconstruction project between 1979 and 1997. Five phases are considered. Geographic information system (GIS) tools, like buffering and geocoding, enable spatial segmentation of property sales and improved model specification facilitated by the creation of different types of proximity variables. An econometric refinement is made to traditional hedonic models that, in conjunction with GIS, allows an examination of spatiotemporal fluctuations in location premiums and property-value trends. The results show that some parts are negatively affected and others are positively affected. This finding is in agreement with the findings of earlier studies. However, this study adds to this conclu...

Tsinghua Science & Technology, 2005

The analysis of hidden spatial features is crucial for the improvement of hedonic regression models for analyzing the structure of land and housing prices. If critical variables representing the influence of spatial features are omitted in the models, the residuals and the coefficients estimated usually exhibit some kind of spatial pattern. Hence, exploration of the relationship between the spatial patterns and the spatial features essentially leads to the discovery of omitted variables. The analyses in this paper were based on two exploratory approaches: one on the residual of a global regression model and the other on the geographically weighted regression (GWR) technique. In the GWR model, the regression coefficients are allowed to differ by location so more spatial patterns can be revealed. Comparison of the two approaches shows that they play supplementary roles for the detection of lot-associated variables and area-associated variables.

2012

Abstract The spatial configuration of land use can have a significant impact on both market and non-market outcomes. One type of land use configuration that has received considerable attention in recent decades-because of its impact on the efficiency of public service provisioning, on environmental quality and on the productivity of agricultural land-is fragmented development.

Sustainability, 2018

Land-Use/Cover Change (LUCC) reacts to demographic pressures, economic trends, or improved transport networks. Urban growth with implications on LUCC patterns can be measured using a diversity of methods. Our study derives from Tobler's first law of geography: 'everything is related to everything else, but near things are more related than distant ones'. We identified and measured the influence of neighbouring distance on urban growth from the edge of existing urban areas. For that, we have developed a method, built using the NetLogo software tool, which we called Land-use chAnge and Neighbouring Distance (LAND). We selected Torres Vedras (Portugal) to conduct our case study due to its increasing urban development in the past few years. The periods of analysis were. The results have shown the influence and the effect of strong spatial correlation between the proximity of existing artificial surfaces and the emergence of new ones. The understanding of the patterns of urban growth is helpful to plan forward land developments. This method can be used to write guidelines for decision makers to monitor urban expansion and define spatial planning priorities.