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A geographically weighted regression approach to investigating local built-environment effects on home prices in the housing downturn, recovery, and subsequent increases
Journal of Housing and the Built Environment ( IF 2.033 ) Pub Date : 2020-04-15 , DOI: 10.1007/s10901-020-09742-8
Chih-Hao Wang , Na Chen

The 2007 financial crisis profoundly affected most American metropolitan areas. Over the past 10 years, Columbus, Ohio, has experienced a housing downturn, recovery, and subsequent increases. This allows to investigate the response of housing market in different periods of the recession. Ordinary and geographically-weighted regression (GWR) models were developed to examine global and local built-environment effects on home-price appreciations for the three periods while controlling for other physical and socioeconomic variables. The results found that home buyers showed an unchanged preference for residential privacy and amenity and avoided those features that might attract negative external effects from a period to another. The home-price appreciation rates showed different spatial patterns across the study region in the three periods. Nevertheless, the results suggested that suburban areas, particularly those in northern Columbus, better resisted, recovered from, and adapted to the recession. In the wake of the recession, a smaller house was preferred by home buyers. GWR models also provided some interesting findings. In the downturn, accessibility to a park or library helped sustain home prices in the northwest. Bus stop density had a positive effect in eastern Columbus in the recovery, most likely due to the high fuel price at that time. Neighborhoods with a higher income better retained their home value in the downturn, especially those in southern Columbus. Finally, this study found that the recession hit harder on minority neighborhoods in all three periods. This finding suggests that housing policies should focus on these neighborhoods with other social support.



中文翻译:

地理加权回归方法,用于研究房地产市场在房屋低迷,复苏和随后的上涨中对房屋价格的影响

2007年的金融危机对美国大多数都会区产生了深远的影响。在过去的10年中,俄亥俄州哥伦布市经历了住房市场低迷,复苏和随后的增长。这样可以调查房地产市场在经济衰退不同时期的反应。开发了普通和地理加权回归(GWR)模型,以检验这三个时期的全球和本地建筑环境对房价上涨的影响,同时控制其他自然和社会经济变量。结果发现,购房者表现出对住宅隐私和舒适性的不变偏好,并避免了那些可能在一段时间内吸引负面外部影响的特征。在三个时期中,整个研究区域的房价升值率显示出不同的空间格局。但是,结果表明,郊区,特别是哥伦布北部的郊区,抵抗力更强,从衰退中恢复过来并适应了衰退。在经济衰退之后,购房者更喜欢一间小房子。GWR模型也提供了一些有趣的发现。在低迷时期,可进入公园或图书馆的便利性帮助维持了西北地区的房价。公交车站的密度对哥伦布东部的经济复苏具有积极作用,这很可能是由于当时的高燃油价格。收入较高的社区在经济低迷时期更好地保留了房屋价值,尤其是在哥伦布南部。最后,这项研究发现,在所有三个时期中,经济衰退对少数族裔社区的打击更为严重。这一发现表明,住房政策应在其他社会支持下集中于这些社区。结果表明,郊区,特别是哥伦布北部的郊区,可以更好地抵抗,从衰退中恢复过来并适应衰退。在经济衰退之后,购房者更喜欢一间小房子。GWR模型也提供了一些有趣的发现。在低迷时期,可进入公园或图书馆的便利性帮助维持了西北地区的房价。公交车站的密度对哥伦布东部的经济复苏具有积极作用,这很可能是由于当时的高燃油价格。收入较高的社区在经济低迷时期更好地保留了房屋价值,尤其是在哥伦布南部。最后,这项研究发现,在所有三个时期中,经济衰退对少数族裔社区的打击更为严重。这一发现表明,住房政策应在其他社会支持下集中于这些社区。结果表明,郊区,特别是哥伦布北部的郊区,可以更好地抵抗,从衰退中恢复过来并适应衰退。在经济衰退之后,购房者更喜欢一间小房子。GWR模型也提供了一些有趣的发现。在低迷时期,可进入公园或图书馆的便利性帮助维持了西北地区的房价。公交车站的密度对哥伦布东部的经济复苏具有积极作用,这很可能是由于当时的高燃油价格。收入较高的社区在经济低迷时期更好地保留了房屋价值,尤其是在哥伦布南部。最后,这项研究发现,在所有三个时期中,经济衰退对少数族裔社区的打击更为严重。这一发现表明,住房政策应在其他社会支持下集中于这些社区。

更新日期:2020-04-18
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