This paper examines the impacts of different types of urban containment policies (UCPs) on the spatial structure of US metropolitan areas, with a particular focus on UCP tightness. These UCPs include state-mandated urban growth boundaries (UGBs), locally adopted urban growth boundaries and urban service areas (USAs). Population and employment density gradients, taken as concentration measures, are estimated for 135 metropolitan areas and are then used in a simultaneous equation model to assess the impacts of different UCPs on metropolitan spatial structure. The results suggest that state-mandated ‘strong’ UGBs more effectively promote growth within the boundaries than locally adopted UGBs or USAs.
As a new geography megaregions, networks of metropolitan centres and their areas of influence are increasingly discussed within both academic and policy arenas as more population and economic activities are concentrating in these large-scale urban configurations with growing environmental and societal impacts. This paper examines the megaregion within the context of sustainable development. The paper argues that compared to traditional planning units, such as cities, regions, and Metropolitan Statistical Areas, the concept of megaregions is able to capture the way in which economic activities, ecological ties, and social and cultural linkages actually function and operate in the global economy. While megaregions can serve as a useful planning framework for addressing each element of sustainable development, economy, environment, and equity, the successful balance and implementation of these three elements may depend on a good, yet to be developed, megaregion governance structure with public, private, and federal or national leadership.
ARTICLE HISTORY
Individuals make mobility decisions based on many factors. Satisfaction with neighbourhoods and homes has been identified in previous research, as have changing demographic characteristics. This paper extends earlier studies to identify the main factors behind the intentions to move for non-moving homeowners versus those who subsequently moved using data from a survey conducted for Franklin County homeowners in Ohio in the US, through factor analysis and Ordered Logistic Regression (OLR) analysis. Non-movers, on the one hand, show strong intentions to move when they are relatively dissatisfied with their 'neighbourhood', 'housing amenities', 'amount of housing space', and 'distance to preferred locations'. On the other hand, actual movers appeared to concentrate on more specific factors, such as housing size and distance to preferred locations rather than the environment of their current neighbourhood. Household life-cycle characteristics do not appear to affect either groups' assessments of their likelihood of moving.
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