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Publications by Abolghasem Sadeghi-Niaraki
Spatial Cluster-Based Model for Static Rebalancing Bike Sharing Problem
Sustainability
Development
Management
Monitoring
Environmental Science
Renewable Energy
Energy Engineering
Law
Sustainability
Planning
Policy
Power Technology
the Environment
Geography
Optimal Multi-Product Supplier Selection Under Stochastic Demand With Service Level and Budget Constraints Using Learning Vector Quantization Neural Network
RAIRO - Operations Research
Management Science
Computer Science Applications
Operations Research
Theoretical Computer Science
Related publications
Bike Sharing Systems: A New Incentive Rebalancing Method Based on Spatial Outliers Detection
International Journal of Space-Based and Situated Computing
Solving a Static Repositioning Problem in Bike-Sharing Systems Using Iterated Tabu Search
Transportation Research Part E: Logistics and Transportation Review
Transportation
Business
Civil
International Management
Structural Engineering
Management Science
Operations Research
A Markov Chain Based Demand Prediction Model for Stations in Bike Sharing Systems
Mathematical Problems in Engineering
Mathematics
Engineering
Bike-Sharing and Public Acceptance in Bangladesh: An Empirical View of Religiosity as an Obstacle for Women’s Intention Toward Bike-Sharing
Open Journal of Social Sciences
Continued Usage of Bike-Sharing Services: An Extended Expectation-Confirmation Model Analysis
Mixed Logit Models for Travelers’ Mode Shifting Considering Bike-Sharing
Sustainability
Development
Management
Monitoring
Environmental Science
Renewable Energy
Energy Engineering
Law
Sustainability
Planning
Policy
Power Technology
the Environment
Geography
The Development, Characteristics and Impact of Bike Sharing Systems:
International Review for Spatial Planning and Sustainable Development
Development
Management
Monitoring
Urban Studies
Planning
Policy
Law
Geography
Setting Inventory Levels in a Bike Sharing Network
Transportation Science
Civil
Transportation
Structural Engineering
An Approach to Identify Bike Sharing Segments Using Clustering Methodology
International Journal for Research in Applied Science and Engineering Technology