Oueslati Walid, Alvanides Seraphim, Garrod Guy
Agrocampus Ouest, France.
Northumbria University, UK.
Urban Stud. 2015 Jul;52(9):1594-1614. doi: 10.1177/0042098015577773.
This paper provides empirical evidence that helps to answer several key questions relating to the extent of urban sprawl in Europe. Building on the monocentric city model, this study uses existing data sources to derive a set of panel data for 282 European cities at three time points (1990, 2000 and 2006). Two indices of urban sprawl are calculated that, respectively, reflect changes in artificial area and the levels of urban fragmentation for each city. These are supplemented by a set of data on various economic and geographical variables that might explain the variation of the two indices. Using a Hausman-Taylor estimator and random regressors to control for the possible correlation between explanatory variables and unobservable city-level effects, we find that the fundamental conclusions of the standard monocentric model are valid in the European context for both indices. Although the variables generated by the monocentric model explain a large part of the variation of artificial area, their explanatory power for modelling the fragmentation index is relatively low.
本文提供了实证证据,有助于回答几个与欧洲城市扩张程度相关的关键问题。基于单中心城市模型,本研究利用现有数据源得出了282个欧洲城市在三个时间点(1990年、2000年和2006年)的一组面板数据。计算了两个城市扩张指数,分别反映每个城市人工面积的变化和城市碎片化程度。此外,还补充了一组关于各种经济和地理变量的数据,这些变量可能解释这两个指数的变化。使用豪斯曼-泰勒估计量和随机回归变量来控制解释变量与不可观测的城市层面效应之间可能存在的相关性,我们发现标准单中心模型的基本结论在欧洲背景下对这两个指数都是有效的。尽管单中心模型生成的变量解释了人工面积变化的很大一部分,但它们对碎片化指数建模的解释力相对较低。