  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 following findings. Firstly,
it is possible to determine the potential demand by the visitor's
walkability-based division. Second, our walkability measurement method follows
a bottom-up approach, starting with a small unit cell, understanding the entire
city as a community extraction model, and possibly extending to other cities in
Korea. Third, POI-centered structural analysis is possible using the number of
visitors and distance in the proposed network analysis method.
