Road accidents are a significant negative outcome of transportation systems, causing
injuries, fatalities, traffic congestion, and economic losses. As cities expand and the number …

PySAL is a library for geocomputation and spatial data science. Written in Python, the library
has a long history of supporting novel scholarship and broadening methodological impacts …

Road traffic safety is a key concern of transport management as it has severely restricted
Chinese economic and social development. With the objective to prevent and reduce road …

Sentiment affects every aspect of people's lives and has strong impact on their mental
health. This paper explores local users' sentiments extracted from Geo-tweets data from …

Spatial clustering analysis is an important spatial data mining technique. It divides objects
into clusters according to their similarities in both location and attribute aspects. It plays an …

Efficient management of sewer blockages requires increased preventive maintenance
planning. Conventional approaches to the management of blockages in sewer pipe …

Network K-function has been the de facto operation for analyzing point patterns in spatial
networks, which is widely used in many communities, including geography, ecology …

Visualization assisted crime analysis tools used by public security agencies are usually
designed to explore large urban areas, relying on grid-based heatmaps to reveal spatial …

A self-exciting spatiotemporal point process is fitted to incident data from the UK National
Traffic Information Service to model the rates of primary and secondary accidents on the …

Abstract We introduce Local Indicators of Spatio-Temporal Association (LISTA) functions on
linear networks and use them to build a statistical test for local second-order structure. This …