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Dimensions of shrinkage: Evaluating the socio-economic consequences of population decline in two medium-sized cities in Europe, using the SULD decision support tool

机译:缩小范围:使用SULD决策支持工具评估欧洲两个中型城市人口减少的社会经济后果

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摘要

All over Europe, it is a known fact that cities are shrinking. One of the main causes is population decline, but the consequent reduction of urban area is neither immediate nor easy to foresee spatially. Questions arise such as where do cities start to ‘shrink’ first? What are the most fragile areas that face the risk of becoming derelict? What are the most vulnerable social groups? And how does this affect real estate values across the city? Existing models for projecting the effects of shrinkage have been criticized for lacking spatial-explicitness, being excessively data-dependent, and failing to incorporate various socio-economic, urban and environmental aspects in the assessment of attractiveness of urban areas and of decisions by households. In this article, we attempt to overcome this criticism by applying the spatially-explicit Sustainable Urbanizing Landscape Development decision support tool (SULD), based on hedonic pricing theory, in two cities in southern Europe (Aveiro, Portugal and Imperia, Italy). SULD is used to project, assess and compare changes in land-use, household type distribution, real estate values and household densities, in three different scenarios of population decline (−5%, −10% and −15%). Results quantify the amount of contraction of urban area, housing quantity and living space; highlight the most problematic areas; and uncover low income households as the least affected, whereas the relocation of high income households may cause gentrification of medium income households in some areas of the historical city centre.
机译:在整个欧洲,众所周知的事实是城市正在萎缩。主要原因之一是人口减少,但随之而来的城市面积减少既不立即也不容易在空间上预见。出现问题,例如城市首先从哪里开始“收缩”?面临被遗弃的风险的最脆弱地区是哪些?什么是最脆弱的社会群体?这如何影响整个城市的房地产价值?批评现有的预测收缩效果的模型缺乏空间明晰性,过度依赖数据,并且没有将各种社会经济,城市和环境因素纳入城市吸引力的评估和家庭决策中。在本文中,我们试图通过享乐主义定价理论在欧洲南部的两个城市(葡萄牙的阿维罗和意大利的因佩里亚)应用空间明晰的可持续城市化景观发展决策支持工具(SULD)来克服这种批评。在三种不同的人口下降情景(−5%,− 10%和−15%)中,SULD用于预测,评估和比较土地利用,家庭类型分布,房地产价值和家庭密度的变化。结果量化了城市的收缩量,住房数量和居住空间;突出最有问题的区域;并找出受影响最轻的低收入家庭,而高收入家庭的搬迁可能会在历史悠久的市中心某些地区引起中等收入家庭的高档化。

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