探索私人绿地对密度与房价关系的调节作用

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International Pub Date : 2024-11-18 DOI:10.1016/j.habitatint.2024.103231

Jungseok Seo , Jeongseob Kim

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引用次数: 0

摘要

本研究探讨了私人绿地对韩国首尔房价的影响及其对住房密度与房价之间关系的调节作用。我们的研究发现，住房密度与住房价格之间存在负相关关系，这表明较高的密度通常会降低房产价值。在住宅区内建造私人绿地，如果设计规模较大、具有连续性且没有汽车的存在，可以产生额外的 "绿色溢价"。这项研究还表明，这种绿地有可能减轻高密度对房价的一些负面影响。这项研究为有关可持续和紧凑型城市发展的讨论做出了贡献，倡导采取政策干预措施，鼓励在高密度住宅项目中纳入私人绿地。

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Exploring the moderating effect of private green space on the relationship between density and housing prices

This study examines the impact of private green spaces on housing prices and their moderating effect on the relationship between housing density and prices in Seoul, South Korea. Our research finds a negative relationship between housing density and housing prices, suggesting that higher density typically depresses property values. The creation of private green spaces within residential complexes can generate an additional “green premium” when designed on a large scale with continuity and without the presence of automobiles. This study also suggests the potential of such green spaces in alleviating some of the negative effects of high density on housing prices. This research contributes to the discourse on sustainable and compact urban development, advocating for policy interventions that encourage the inclusion of private green spaces in high-density residential projects.

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来源期刊

Habitat International Multiple-

CiteScore

10.50

自引率

10.30%

发文量

151

审稿时长

38 days

期刊介绍： Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.