The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review

AS Yalcin, HS Kilic, D Delen - Technological forecasting and social change, 2022 - Elsevier
Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …

Modeling of railway stations based on queuing networks

I Bychkov, A Kazakov, A Lempert, M Zharkov - Applied Sciences, 2021 - mdpi.com
Among the micro-logistic transport systems, railway stations should be highlighted, such as
one of the most important transport infrastructure elements. The efficiency of the transport …

A combination of DEA and AIMSUN to manage big data when evaluating the performance of bus lines

F Forouzandeh, H Arman, A Hadi-Vencheh… - Information …, 2022 - Elsevier
The bus network, including several bus lines (BLs), is the most important public
transportation system in many cities. A bus line (BL) may be inefficient compared to the other …

[HTML][HTML] Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm

S Nesmachnow, R Massobrio, E Arreche… - International Journal of …, 2019 - Elsevier
This article presents a parallel evolutionary algorithm for public transport optimization by
synchronizing traffic lights in the context of Bus Rapid Transit systems. The related …

A procedure for public transit OD matrix generation using smart card transaction data

M Jafari Kang, S Ataeian, SMM Amiripour - Public Transport, 2021 - Springer
Most fare collection systems are initially installed as single-purpose devices which are only
used for collecting fare; however, many transit planners consider them as a rich source of …

The Impact of the COVID-19 Pandemic on the Public Transportation System of Montevideo, Uruguay: A Urban Data Analysis Approach

S Nesmachnow, A Tchernykh - Urban Science, 2023 - mdpi.com
Urban mobility and strategies for public transportation play a vital role in promoting a more
sustainable, accessible, and livable urban environment in smart cities. Data-driven decision …

[PDF][PDF] A specialized evolutionary strategy using mean absolute error random sampling to design recurrent neural networks

A Camero, J Toutouh, E Alba - arXiv preprint arXiv:1909.02425, 2019 - researchgate.net
Recurrent neural networks have demonstrated to be good at solving prediction problems.
However, finding a network that suits a problem is quite hard because of their high sensitivity …

Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation

D Pedroza-Perez, J Toutouh, G Luque - Proceedings of the Genetic and …, 2024 - dl.acm.org
This paper proposes a multi-criteria approach to optimize urban infrastructure for e-scooters
mobility. The problem considers redesigning road infrastructure to integrate e-scooters into a …

[HTML][HTML] Does improving stop amenities help increase Bus Rapid Transit ridership? Findings based on a quasi-experiment

X Shi, AV Moudon, PM Hurvitz, SJ Mooney… - Transportation research …, 2021 - Elsevier
Amenities at bus stops are thought to affect transit ridership, yet this relationship is rarely
quantified. We assembled data on ridership and stop amenities, including Real-Time …

Multiobjective electric vehicle charging station locations in a city scale area: malaga study case

C Cintrano, J Toutouh - International Conference on the Applications of …, 2022 - Springer
This article presents a multiobjective variation of the problem of locating electric vehicle
charging stations (EVCS) in a city known as the Multiobjective Electric Vehicle Charging …