Influence of Urban Railway Network Centrality on Residential Property Values in Bangkok

Author:

Vichiensan Varameth12ORCID,Wasuntarasook Vasinee3,Prakayaphun Titipakorn4,Kii Masanobu5ORCID,Hayashi Yoshitsugu6

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand

2. Center for Logistics Engineering Technology and Management, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand

3. Graduate School, Kasetsart University, Bangkok 10900, Thailand

4. Department of Constructional Engineering, Graduate School of Engineering, Chubu University, Kasugai 487-8501, Japan

5. Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan

6. Center for Sustainable Development and Global Smart City, Chubu University, Kasugai 487-8501, Japan

Abstract

In recent decades, Bangkok has experienced substantial investments in its urban railway network, resulting in a profound transformation of the city’s landscape. This study examines the relationship between railway development and property value uplift, particularly focusing on network centrality, which is closely linked to urban structure. Our findings are based on two primary analyses: network centrality and spatial hedonic models. The network centrality analysis reveals that closeness centrality underscores the city’s prevailing monocentric structure, while the betweenness centrality measure envisions the potential emergence of urban subcenters. In our hedonic analysis of condominiums near railway stations, we formulated various regression models with different specifications, incorporating spatial effects and network centrality. With Bangkok’s predominant monocentric structure in mind, we found that the spatial regression model, including a spatial error specification and closeness centrality, outperforms the others. This suggests that the impact of railways on property values extends beyond station proximity and encompasses network centrality, intricately linked with the city’s urban structure. We applied our developed model to estimate the expected increase in property values at major interchange stations with high network centralities. These numerical values indicate a considerable potential for their evolution into urban subcenters. These insights offer valuable policy recommendations for effectively harnessing transit-related premiums and shaping the future development of both the railway system and the city.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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