Analysis of Urban Visitor's Walkability Based On Mobile Data: The Case of Daejeon, Korea
Mi Chang, Gi-bbeum Lee, and Ji-Hyun Lee

TL;DR
This study analyzes urban walkability in Daejeon, Korea, using mobile data from visitors to understand city structure and demand through network analysis of POI and cell interactions.
Contribution
It introduces a bottom-up walkability measurement method based on mobile data, enabling detailed city structure analysis and potential demand estimation.
Findings
Potential demand can be identified through walkability-based division.
The method allows city-wide analysis starting from small units.
POI-centered structural analysis is feasible using visitor data and network analysis.
Abstract
The walkability of destinations plays a decisive role in obtaining a sense of place for urban visitors. For an improved walkability-based visit experience, the city structure is analyzed by dividing it into small units, starting with the destination. However, existing studies focus on the walkability of residents by administrative district and use limited contextual information and structural analysis tools. Therefore, this study aims to structurally understand walkability through network analysis with mobile-based visitor data collected from 822 point-of-interest (POI) in Daejeon. In this paper, the actual walking distance between 95,817 cells with visitors and POI is measured to calculate the edge weight and the influence of cells on POI. We analyze the POI-cell network through edge weight, extract nine communities, understand the city context through POI analysis and derive the…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Urban Transport and Accessibility · Urban Design and Spatial Analysis
