城市土地利用规划对泰国清迈住房价格的影响

Land Pub Date : 2024-07-25 DOI:10.3390/land13081136
Shichao Lu, Zhihua Zhang, M. C. Crabbe, Prin Suntichaikul
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摘要

清迈是泰国一座新兴的旅游城市。过去几十年来,旅游业的蓬勃发展引发了城市用地面积的大幅扩张,导致大量新建住宅社区出现在未规划的土地上。在本研究中,我们使用基于多尺度地理加权回归(MGWR)的享乐主义价格分析方法,调查了清迈 524 个住宅社区的 4624 宗住房交易。结果表明,清迈近期的土地利用规划对房价产生了不同寻常的影响;具体而言,医院、中小学、公园绿地和购物中心的交通便利性的影响可以忽略不计,这表明当地居民对整个清迈的优质医疗和教育资源以及良好居住环境的土地利用规划非常满意,不需要对这些设施进行更多的土地利用规划和投资。然而,有限的公交线路仅用于旅游,无法为当地居民提供便利的路线,导致其对市中心地区的房价产生负面影响,因此当地政府应降低市中心地区的公交站点密度,并加强市中心地区与郊区之间的交通联系。我们的研究不仅有助于清迈城市土地规划部门优化住宅小区和周边设施,还能为泰国及其他类似旅游导向型城市的房价形成机制提供启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Urban Land-Use Planning on Housing Prices in Chiang Mai, Thailand
Chiang Mai is an emerging tourism-oriented city in Thailand. The booming tourism industry during the past decades has triggered significant expansion in its urban land area, resulting in a large number of newly-built residential communities appearing on unplanned land. In this study, we used multiscale geographically weighted regression (MGWR)-based hedonic price analysis to investigate 4624 housing transactions from 524 residential communities in Chiang Mai. This showed that the recent land-use planning in Chiang Mai has had unusual effects on housing prices; specifically, the effects of accessibility to hospitals, primary and secondary schools, green parks, and shopping malls could be ignored, demonstrating that local residents were well satisfied with land-use planning for high-quality medical and education sources and good living environments throughout the whole of Chiang Mai, and that no more land-use planning and investment on these facilities was needed. However, limited bus routes were only used for tourism and could not provide convenient routes for local residents, leading to their negative effects on housing prices in downtown areas, so the local government should lower the bus stop density in downtown areas and strengthen the transportation links between downtown areas and suburbs. Our study will not only support the urban land planning department of Chiang Mai to optimize residential communities and nearby facilities, but can also provide insights into housing price formation mechanisms in similar tourism-oriented cities in Thailand and beyond.
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