Geospatial Analytics of Pedestrian Safety in Tanah Abang

This study aims at better understanding the geospatial phenomenon of offenses or violations happening at the urban pedestrian with a particular focus on (a) motorcyclists passing through pedestrian lanes, (b) street vendors selling at pedestrian lanes, and (c) illegal parking at pedestrian lanes during and post new policy on pedestrian infrastructure. The first and the second type of offense involves dynamic behaviors while the third offense inherently involves both behaviors. Tweets and Qlue reports (represent passive and active crowdsourced data) regarding Tanah Abang pedestrian condition are employed as the materials of the study case. Based upon spatial and temporal values of crowdsourced data, statistics charts and heatmap visualization are presented to know the spatial pattern and fluctuation of offenses. The results of this study are presented as a collection of visual displays in order to provide geospatial insights such as dynamics of reports on top of an online map using Leaflet. The study illustrates the usefulness of geospatial analytics to correlate offenses extracted from crowdsourced data with pedestrian safety as a new policy on pedestrian infrastructure was introduced.