Addressing the determinants of built-up expansion and densification processes at the regional scale

Abstract

Abstract:An in-depth understanding of the main factors behind built-up development is a key prerequisite for designing policies dedicated to a more efficient land use. Infill development policies are essential to curb sprawl and allow a progressive recycling of low-density areas inherited from the past. This paper examines the controlling factors of built-up expansion and densification processes in Wallonia (Belgium). Unlike the usual urban/built-up expansion studies, our approach considers various levels of built-up densities to distinguish between different types of developments, ranging from low-density extensions (or sprawl) to high-density infill development. Belgian cadastral data for 1990, 2000, and 2010 were used to generate four classes of built-up areas, namely, non-, low-, medium-and high-density areas. A number of socioeconomic, geographic, and political factors related to built-up development were operationalized following the literature. We then used a multinomial logistic regression model to analyze the effects of these factors on the transitions between different densities in the two decades between 1990 and 2010. The findings indicate that all the controlling factors show distinctive variations based on density. More specifically, the centrality of zoning policies in explaining expansion processes is highlighted. This is especially 2 the case for high-density expansions. In contrast, physical and neighborhood factors play a larger role in infill development, especially for dense infill development.

Monitoring Three-Decade Expansion of China’s Major Cities Based on Satellite Remote Sensing Images

“…For the interaction between urban area and the environment, many related factors for urbanization have been explored, such as, population, economy, industry, haze, and temperature etc. [47][48][49][50][51][52][53][54]. For example, Maitiniyazi Maimaitijiang et al discussed the correlation between land cover categories and population changes [52]; Ahmed Mustafa et al explored the relationship between different densities of urban development and many other socio-economic factors [53,54].…”

An Application of the Spatial Autocorrelation Method on the Change of Real Estate Prices in Taitung City

“…Spatial statistics is the statistical analysis of geographical relationships, including spatial allocation, spatial autocorrelation, and spatial association [26]. Spatial statistics primarily entails incorporating spatial dependence concepts into a statistical analysis to produce favorable predictions and effective parameter estimations from given data [27][28][29][30][31].…”

A Time Monte Carlo method for addressing uncertainty in land-use change models

“…the findings of previous work on our study area (e.g. Mustafa et al, 2018aMustafa et al, , 2018b. We standardized the driving forces as our aim is to elucidate relationships.…”