The agglomeration patterns of different lodging segments around a transportation hub

Niu, Bingjie; Lin, Zhibin; Yin, Ping

Abstract

The main purpose of this paper is to examine how the spatial distribution of the accommodation industry evolved in areas with a high-speed railway (HSR) station. We collected 419 points of interest (POI) data on the accommodation industry within a 3km radius of a high-speed railway station, the Beijingnan HSR Station in Beijing the capital city of China were collected. A range of coefficients and indices such as kernel density, Ripley's K function, nearest neighbor index, and standard deviation ellipse were used as analytical tools The results indicate that the continuous and phased growth in accommodations can be observed in the Beijingnan HSR Station area over the past two decades. The spatial distribution represents a circle agglomeration, and the significant agglomeration happened in the core circle and the periphery circle. Further analysis shows different types of accommodations present diverse agglomeration states. The study has implications for both the research and practice of HSR networks and the development of the accommodation sector.

Citation

Niu, B., Lin, Z., & Yin, P. (2024). The agglomeration patterns of different lodging segments around a transportation hub. Research in Transportation Business and Management, 57, 101199. https://doi.org/10.1016/j.rtbm.2024.101199

• Journal Article Type: Article
• Acceptance Date: Aug 29, 2024
• Online Publication Date: Sep 11, 2024
• Publication Date: 2024-12
• Deposit Date: Sep 18, 2024
• Publicly Available Date: Sep 18, 2024
• Journal: Research in Transportation Business & Management
• Print ISSN: 2210-5395
• Electronic ISSN: 2210-5409
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 57
• Pages: 101199
• DOI: https://doi.org/10.1016/j.rtbm.2024.101199
• Public URL: https://durham-repository.worktribe.com/output/2867195