Outputs (2)

Factors influencing e-cargo bike mode choice for small businesses (2023)
Journal Article
Malik, F. A., Egan, R., Dowling, C. M., & Caulfield, B. (2023). Factors influencing e-cargo bike mode choice for small businesses. Renewable and Sustainable Energy Reviews, 178, Article 113253. https://doi.org/10.1016/j.rser.2023.113253

As a viable alternative to traditional and electric cars and vans, e-cargo bikes have the potential to improve the sustainability of urban logistics operations, particularly for last-mile deliveries. In this study, e-cargo bike trips are modelled fro... Read More about Factors influencing e-cargo bike mode choice for small businesses.

Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service (2022)
Journal Article
Malik, F. A., Dala, L., Khalid, M., & Busawon, K. (2022). Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service. Applied Sciences, 12(20), Article 10643. https://doi.org/10.3390/app122010643

This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning... Read More about Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service.