This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …

Short-term passenger flow prediction is critical to managing real-time bus networks,
responding to emergencies quickly, making crowdedness-aware route recommendations …

Bus passenger flow prediction is a critical component of advanced transportation information
system for public traffic management, control, and dispatch. With the development of artificial …

Passengers of public transportation nowadays expect reliable and accurate travel
information. The need for occupancy information is becoming more prevalent in intelligent …

The metro system is indispensable for alleviating traffic congestion in the urban
transportation system. Precise metro passenger flow (MPF) prediction is crucial in ensuring …

Accurate machine learning predictions of passenger flow data for mass rapid transit (MRT)
systems can considerably improve operational efficiency by enabling better allocation of …

Short-term passenger flow prediction is a critical component of urban rail transit operations.
However, predictions of passenger flow are mostly focused on one station, and land use …

Passenger flow predictions are of great significance to bus scheduling and route
optimization. In this paper, a novel algorithm, namely the Spatial–Temporal Graph …

The ability to predict passenger flow in transport networks is an important aspect of public
transport management. It helps improve transport services, aids those responsible for …

Accurate predictions of the surface deformation caused by underground mining are crucial
for the safe development of underground resources. Although surface deformation has been …