The transformation from authoritative to user-generated data landscapes has garnered
considerable attention, notably with the proliferation of crowdsourced geospatial data …

Understanding the temporal and spatial dynamics of traffic accidents are a key determinant
in their mitigation. This article leverages big data and a Poisson model with fixed effects to …

Non-recurrent traffic congestion arising from traffic incidents is unpredictable but should be
addressed efficiently to mitigate its adverse impacts on safety and travel time reliability …

Climate change leads to more frequent and intense weather events, posing escalating risks
to road traffic. Crowdsourced data present new opportunities to monitor and investigate road …

Climate change and sea level rise have increased the frequency and severity of flooding
events in coastal communities. This study quantifies transportation impacts of recurring …

Identification of traffic crash hot spots is of great importance for improving roadway safety
and maintaining the transportation system's sustainability. Traditionally, police crash reports …

Road congestion and air pollution are key challenges for quality of life in urban settings. This
research leverages highly disaggregated crowdsourced data from Latin America to study the …

Location‐based services (LBS) leverage the geographical information of a device to deliver
information, entertainment, and other services tailored to the user's present location. LBS not …

Identifying and fixing roadway potholes promptly can improve roadway safety and decrease
vehicular damage, which is essential in transportation infrastructure management …

Researchers are increasingly aware of the importance of crowdsourced data and consider
them as possible complementary data sources to existing traffic monitoring systems. In this …