A development of Web-based visualization system for analysis of walkers' behavior

Abstract

Analysis of walkers’ behavior of shops, offices and public spaces is important for marketing and urban development. Visualization is a useful tool for this analysis. It is preferable to develop client-server systems to visualize huge sizes of human walk datasets. Also, it is preferable to collaboratively visualize such datasets by multiple experts. Based on these requirements, we present a Web-based visualization system for walkers’ behavior. This system aggregates the walkers’ paths on a Web server and returns to clients. The server part is implemented in Python and deployed as a Web API. Meanwhile, client-side visualization module is available on Web browsers since it is developed with JavaScript and D3.js.