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Measuring the effects of the light rail transit (LRT) system on house prices in the Klang Valley, Malaysia

机译:测量轻轨交通(LRT)系统对马来西亚巴生谷房价的影响

摘要

This research attempts to estimate the increased value of land in the form of house prices as a result of improved accessibility owing to the construction of Light Rail Transit (LRT) systems. Kelana Jaya Line LRT system is chosen as the case study in this research. Hedonic house price modelling and Geographically Weighted Regression (GWR) are employed to measure the effects of the LRT system on house prices in the Klang Valley, Malaysia (2004 and 2005 transactions). Selling price, structural attributes, land use and socio-economic attributes were collected from the Department of Valuation and Services of Malaysia database, selected maps and reports. Fifty-five factors that are likely to influence house price were identified and used to measure the overall effects of the LRT system on house prices. However, only significant variables were included in the final deliberation and these were identified by using correlation analysis and step-wise procedures. The outcome of this study shows a positive relationship between the existence of the LRT system and house prices. In short, people are willing to pay a higher price in order to live within close proximity to a rail transit station. The hedonic house price model suggests - for houses that are located within two-kilometre radius - prices decrease as the distance increases from the LRT station; for both straight-line-distance and network-distance. However, since hedonic house price models are global, the results produced by the model are applied equally for the entire area, and therefore may hide important local differences in the determinants of house prices. Spatial processes are instead seen to be heterogeneous in which the measurement of a relationship depends in part on where the measurement is taken. The generalisation of the effects of the LRT system on house prices is found to be consistent when it is examined further by employing a GWR model, which reveals that house prices decrease only for majority of houses located in the Petaling Jaya area and high-rise units located in Bangsar and Kerinchi. Yet, the majority of houses located in Wangsa Maju-Maluri area are found to be not affected by the existence of the LRT system. The GWR results indicate a statistical significant improvement over the global model for both straight-linedistance and network-distance models even after taking into account the extra degrees of freedom. The highest significant positive price premiums are found in houses that are located within 1,001-1,500 metres of straight-line-distance and 501-1,000 metres of networkdistance. The findings summarised in the thesis have important implications for policy implementation. Firstly, the research findings provide justification for potential implementation of a Land Value Capture (LVC) policy; a policy that can be implemented in order to provide a funding mechanism for the new transport infrastructure. This is due to the fact that the construction of rail transit systems should not be viewed as a subsidised service for the poor but as an investment that returns a profit through increased land values. Strategies in a LVC policy that may be implemented include property and sales taxes, realestate lease and sales revenues, fare-box revenues, fees on everything from parking to business licenses, join development, tax increment financing, special assessment districts, equity participation and public-private partnership. This approach has become a common practice in some more developed countries such as in the United Kingdom (UK) and United States (US). Finally, having a method to measure the land value premium due to the improvement in transportation service can facilitate alternative options or scenarios to be assessed. For example, different transport schemes for the same route may give rise to different land value capture potential, which may, in turn, help determine which transport scheme to pursue. This study therefore contributes to the growing literature on the positive relationship between the existence of the LRT system and house price by providing more accurate, robust and reliable empirical evidence as shown in the approach and the outcome of this research. In particular, it has produced meaningful results by addressing the nature of spatial process; spatial heterogeneity.
机译:这项研究试图通过建造轻轨交通(LRT)系统来改善可访问性,以房价的形式估算土地的增值。本研究选择了Kelana Jaya Line LRT系统作为案例研究。享乐房价模型和地理加权回归(GWR)用于衡量LRT系统对马来西亚巴生谷房价的影响(2004年和2005年交易)。售价,结构属性,土地使用和社会经济属性是从马来西亚估价与服务部数据库,选定的地图和报告中收集的。确定了可能影响房价的55个因素,并将其用于衡量LRT系统对房价的总体影响。但是,最终审议中仅包含重要变量,并且使用相关分析和逐步过程进行了识别。这项研究的结果表明轻轨系统的存在与房价之间存在正相关关系。简而言之,人们愿意付出更高的代价才能生活在靠近铁路车站的地方。享乐主义的房屋价格模型表明-对于位于两公里半径内的房屋-价格随着距轻轨站距离的增加而降低;对于直线距离和网络距离。但是,由于享乐房价模型是全球性的,因此该模型产生的结果将平均应用于整个区域,因此可能会在房价决定因素中隐藏重要的局部差异。相反,空间过程被视为异质的,其中关系的度量部分取决于度量的获取位置。通过使用GWR模型进一步检查轻轨系统对房价的影响的普遍性是一致的,该模型表明,只有位于八打灵再也地区和高层住宅的大多数房屋,房价才会下降位于Bangsar和Kerinchi。然而,发现位于Wangsa Maju-Maluri地区的大多数房屋不受轻轨系统的影响。 GWR结果表明,即使在考虑了额外的自由度之后,直线距离和网络距离模型的全局模型仍具有统计上的显着改进。在直线距离为1,001-1,500米且网络距离为501-1,000米的房屋中,发现最高的正价溢价。论文总结的发现对政策实施具有重要意义。首先,研究结果为潜在实施土地价值捕获(LVC)政策提供了依据。可以执行的政策,以便为新的运输基础设施提供资金机制。这是由于这样的事实,不应将铁路运输系统的建设视为对穷人的补贴服务,而应将其视为通过增加土地价值获得利润的投资。可以实施的LVC政策的策略包括财产税和营业税,不动产租赁和销售收入,票房收入,从停车到营业执照的一切费用,加盟开发,税收增加融资,特别评估区,参股和公众参与-私人伙伴关系。这种方法在英国(UK)和美国(US)等一些较发达国家已经成为一种普遍做法。最后,由于交通服务的改善,有一种方法来衡量土地价值溢价,可以促进备选方案或方案的评估。例如,同一路线的不同运输方案可能会带来不同的土地价值获取潜力,进而有助于确定采用哪种运输方案。因此,本研究通过提供更准确,可靠和可靠的经验证据(如方法和研究结果所示),为有关LRT系统的存在与房价之间的正相关关系的文献提供了帮助。特别是,它通过解决空间过程的性质产生了有意义的结果;空间异质性。

著录项

  • 作者

    Dziauddin Mohd Faris;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
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