Insights into urban spatial dynamics around Marmaray stations in Istanbul: Evidence from social media data
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Date
2024
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Publisher
AESOP
Abstract
Key hubs like transfer centers facilitate intra-urban travel and accessibility in large cities. Understanding urban activity patterns around these hubs is vital for improving urban planning and infrastructure, thus enhancing livability. However, traditional research methods often fall short in capturing dynamic urban activities, whereas social media data provides rich insights into geographical locations, activity types, and movement patterns. This study uses location-based services from social media to analyze urban activity patterns around Marmaray stations on the Anatolian side of Istanbul. Analyzing Foursquare venue data within a 500-meter radius of 29 stations, Kernel density and K-means cluster analyses revealed four distinct activity clusters. These findings suggest varied urban activities at each station and help refine urban planning and transportation strategies.
Keywords: Activity patterns, Foursquare, Istanbul, location-based social network data, Marmaray stations
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CC-BY