Andre Romano Alho

Andre Romano Alho
Postdoctoral Associate

Location: 

Email: 

Projects: 

SimMobility, SimMobility Freight, L2NIC - Urban Freight and Heavy Vehicle Study

Research Interests: 

Urban logistics, freight transportation, supply chain management, urban transportation planning, transport and land-use interactions, travel behaviour analysis, agent-based simulation, systems analysis

Bio: 

Dr. André Romano Alho is a Postdoctoral Associate at SMART (Singapore). He is passionate about applied research in Urban Freight and City Logistics, with particular interest in Supply Chains and Transportation. André’s work has led to new insights in the field of Urban Freight Operations, which have been published in peer-reviewed journals and presented at multiple international conferences on this topic. He is currently contributing to SimMobility and SimMobility Freight model framework design and model development. Applications include case-studies in the scope of Singapore’s “Urban Freight and Heavy Vehicle Study”. Prior to joining SMART, André completed his PhD degree in Transportation Systems from Instituto Superior Técnico / MIT Portugal program.

Publications: 

Selected journal articles with peer review

Alho, A., de Abreu e Silva, J., Pinho de Sousa, J. and E. Blanco (2016) Decreasing congestion by optimizing the number, location and usage of loading/unloading bays for urban freight. Transportation Research Part D: Transport and Environment. In press.

de Abreu e Silva, J. and A. Alho (2016) Using Structural Equations Modeling to explore perceived urban freight deliveries parking issues. Transportation Research Part A: Policy and Practice. Volume 102, August 2017, Pages 18-32.

Alho, A. and J. de Abreu e Silva (2016) Modeling retail establishments’ freight trip generation: a comparison of methodologies to predict total weekly deliveries. Transportation. doi:10.1007/s11116-015-9670-6

Alho, A. and J. de Abreu e Silva (2015) Lisbon’s Establishment-based Freight Survey: revealing retail establishments’ characteristics, goods ordering and delivery processes. European Transport Research Review. Volume 7, Issue 2, Article 16.

Alho, A. and J. de Abreu e Silva (2015) Utilizing urban form characteristics in Urban Logistics Analysis: a case study in Lisbon, Portugal. Journal of Transport Geography. Volume 42, January 2015, pp.57–71.

Alho, A. and J. de Abreu e Silva (2014) Freight trip generation model: Predicting Urban Freight Weekly Parking Demand from Retail Establishment Characteristics. Transportation Research Record. Volume 2411(2), pp.45-54.

Alho, A. and J. de Abreu e Silva (2014) Analyzing the relation between land-use/urban freight operations and the need for dedicated infrastructure/enforcement - application to the city of Lisbon. Research in Transportation Business & Management. Volume 11, July 2014, pp.85–97.

Selected conference proceedings with peer review

Alho, A., Kuzhiyamkunnath, B. B., Stinson, M., Gopalakrishnan, R., Le, D-T. and M. Ben-Akiva (2017) A multi-scale agent-based modelling framework for urban freight distribution. 20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary.

Muñuzuri, J., de Abreu e Silva, J. and A. Alho (2016) Load zone infrastructure in Southern Europe: case study and comparative analysis. XIX Congresso Panamericano de Ingenieria de Tránsito, Transporte y Logistica – PANAM 2016.

Alho, A., Lee, Y. J., Blanco, E., Zegras, C. and J. de Abreu e Silva (2015) Freight Trip Generation in urban contexts: a comparison between Lisbon (PT) and Singapore (SG). CUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management, July 7-10, 2015, Massachusetts Institute of Technology, Cambridge, MA, USA.

Ponce-Cueto, E., Winkenbach, M., Merchán, D., Blanco, E.E., Lee, Y.J., Alho, A. and L.G. Marujo (2015) Segmentation of urban areas from a logistics perspective: comparative case studies in Lisbon, Madrid, Mexico City, Quito, Rio de Janeiro, and Singapore. 2015 International Urban Freight Conference (I-NUF), October 21-23, 2015, Long Beach, CA, USA.

Alho, A., de Abreu e Silva, J. and J. Pinho de Sousa (2014) A state-of-the-art modeling framework to improve congestion by changing the configuration/enforcement of urban logistics loading/unloading bays. Procedia - Social and Behavioral Sciences. Volume 111, 5 February 2014, Pages 360–369.