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[HTML][HTML] Machine learning for spatial analyses in urban areas: a sco** review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
A review on bike-sharing: The factors affecting bike-sharing demand
This paper aimed to address the need for a comprehensive review on the factors affecting
bike-sharing demand to bridge the gaps by deepening the knowledge on weather, built …
bike-sharing demand to bridge the gaps by deepening the knowledge on weather, built …
UUKG: Unified urban knowledge graph dataset for urban spatiotemporal prediction
Abstract Accurate Urban SpatioTemporal Prediction (USTP) is of great importance to the
development and operation of the smart city. As an emerging building block, multi-sourced …
development and operation of the smart city. As an emerging building block, multi-sourced …
Mobility modeling and prediction in bike-sharing systems
As an innovative mobility strategy, public bike-sharing has grown dramatically worldwide.
Though providing convenient, low-cost and environmental-friendly transportation, the …
Though providing convenient, low-cost and environmental-friendly transportation, the …
Dynamic cluster-based over-demand prediction in bike sharing systems
Bike sharing is booming globally as a green transportation mode, but the occurrence of over-
demand stations that have no bikes or docks available greatly affects user experiences …
demand stations that have no bikes or docks available greatly affects user experiences …
Six scooter operators, six maps: Spatial coverage and regulation of micromobility in Vienna, Austria
Background and objective Electric scooters in shared schemes bring benefits to users in the
form of on-demand, point-to-point transport, but pose new challenges for municipal …
form of on-demand, point-to-point transport, but pose new challenges for municipal …
Insights on strategic air taxi network infrastructure locations using an iterative constrained clustering approach
S Rajendran, J Zack - Transportation Research Part E: Logistics and …, 2019 - Elsevier
Expected to launch globally in the forthcoming years, air taxis are brand-new aviation
ridesharing services that will be provided by international logistic pioneers. This study is one …
ridesharing services that will be provided by international logistic pioneers. This study is one …
Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns
Studies on bike-share programs have dramatically increased during the past decades.
While numerous studies have examined various factors affecting bike-share demand at the …
While numerous studies have examined various factors affecting bike-share demand at the …
A hybrid machine learning model for demand prediction of edge-computing-based bike-sharing system using Internet of Things
T Xu, G Han, X Qi, J Du, C Lin… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The rapid development of Internet-of-Things technologies (such as edge computing) has
promoted the development of numerous emerging urban applications, particularly smart …
promoted the development of numerous emerging urban applications, particularly smart …
Predicting popularity of electric vehicle charging infrastructure in urban context
The availability of charging infrastructure is essential for large-scale adoption of electric
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …