[HTML][HTML] Machine learning for spatial analyses in urban areas: a sco** review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

A review on bike-sharing: The factors affecting bike-sharing demand

E Eren, VE Uz - Sustainable cities and society, 2020 - Elsevier
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 …

UUKG: Unified urban knowledge graph dataset for urban spatiotemporal prediction

Y Ning, H Liu, H Wang, Z Zeng… - Advances in Neural …, 2023 - proceedings.neurips.cc
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 …

Mobility modeling and prediction in bike-sharing systems

Z Yang, J Hu, Y Shu, P Cheng, J Chen… - Proceedings of the 14th …, 2016 - dl.acm.org
As an innovative mobility strategy, public bike-sharing has grown dramatically worldwide.
Though providing convenient, low-cost and environmental-friendly transportation, the …

Dynamic cluster-based over-demand prediction in bike sharing systems

L Chen, D Zhang, L Wang, D Yang, X Ma, S Li… - Proceedings of the …, 2016 - dl.acm.org
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 …

Six scooter operators, six maps: Spatial coverage and regulation of micromobility in Vienna, Austria

ME Moran, B Laa, G Emberger - Case Studies on Transport Policy, 2020 - Elsevier
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 …

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 …

Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns

M Kim, GH Cho - Journal of Transport Geography, 2021 - Elsevier
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 …

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 …

Predicting popularity of electric vehicle charging infrastructure in urban context

M Straka, P De Falco, G Ferruzzi, D Proto… - Ieee …, 2020 - ieeexplore.ieee.org
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 …