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The impact of urban traffic and environmental conditions on the housing market: an analysis of Italian and Slovenian urban areas

机译:城市交通和环境条件对住房市场的影响:意大利和斯洛文尼亚城区的分析

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Urban traffic has been shown to affect the housing market. The objective of this paper is to explore the impact of urban traffic on the property market in a "former" and a "new" EU-member country. In this context, this article investigates the relationship between the property price effect due to changes in environmental conditions and the countries' purchasing power. The paper starts with the estimation of the marginal willingness to pay for air quality in the North-Italian town of Padua by applying the hedonic pricing method. Since Italy is bordering on the new EU-member country Slovenia, a further hedonic model is set up for urban areas in Slovenia. Consequently, the impact of the urban traffic on the housing market is discussed from different perspectives considering the location-specific differences and similarities regarding the housing market, urban transport systems, economic development and environmental criteria related to urban traffic. In the first section, the hedonic pricing models are developed by disaggregating homogenous areas within Italian and Slovenian towns regarding accessibility, socio-economic criteria, other environmental factors etc. The next section involves the estimation of hedonic regressions. Finally, the results are presented with the focus on the influence of the urban traffic (and other environmental conditions) on the property prices with similar geographic and environmental pre-conditions, but differences in public policy and economic development. Moreover, possible future implications of the urban traffic systems are indicated.
机译:城市交通已被证明会影响房地产市场。本文的目的是探讨城市交通对房地产市场的“前任”的影响和“新”的欧盟成员国。在此背景下,本文研究了房地产价格的影响之间的关系由于环境条件的变化和国家的购买力。本文通过采用特征价格法的边际支付意愿在帕多瓦的北意大利小镇的空气质量的评估开始。由于意大利是欧盟新成员国斯洛文尼亚接壤,进一步享乐模型,建立了在斯洛文尼亚城市地区。因此,住房市场对城市交通的影响,从考虑到特定地区的差异有关住房市场不同的观点和相似之处,城市交通系统,经济发展,关系到城市交通环境标准的讨论。在第一部分中,特征价格模型通过分解关于可访问意大利和斯洛文尼亚城镇内均匀发达地区,社会经济条件,其他环境因素等下一节涉及内涵回归的估计。最后,将结果呈现为重点,对房地产价格具有相似的地理和环境的先决条件,但不同的城市交通(和其它环境条件)的公共政策和经济发展的影响。此外,城市交通系统未来可能产生的影响表示。

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