A systematic literature review on machine learning in shared mobility

J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …

Mobile networks and internet of things infrastructures to characterize smart human mobility

L Rosa, F Silva, C Analide - Smart Cities, 2021 - mdpi.com
The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to
rethink the way smart cities infrastructures are designed and managed, and solve a number …

Assessing urban travel patterns: An analysis of traffic analysis zone-based mobility patterns

Y Chen, Z Zhang, T Liang - Sustainability, 2019 - mdpi.com
Information and communication technology development has yielded large-scale
spatiotemporal datasets, such as mobile phone, automatic collection system, and car-hailing …

Multi-level analyses on the nearest-first matching policy of on-demand chauffeured ride-hailing service

R Yang, M Lai - International Journal of Sustainable Transportation, 2021 - Taylor & Francis
On-demand ride-hailing services have received widespread interest from industry and
academic. However, very few researches have empirically investigated the matching policy …

Adding Multi-Day Attributes for Ridesharing Simulations via Data Fusion

I Mendoza, CMJ Tampère - Transportation Research Record, 2023 - journals.sagepub.com
Evaluating ridesharing potential is a trend in current research efforts because ridesharing
provides additional mobility alternatives without extra putting vehicles on the road …

Sharing Economy-Enablers and Barriers for Consumption and Production of Ridesharing in Malaysia

WK Tham - 2024 - figshare.swinburne.edu.au
This thesis explores the factors that encourage or hinder participation in the ridesharing
economy in Malaysia. Using a combination of qualitative interviews and quantitative …

[PDF][PDF] Is it possible to predict food retail prices? Evidence from Lithuanian market

A Volkov, M Morkūnas, V Skvarciany - Proceedings of 6th …, 2019 - academia.edu
Purpose–the purpose of the article is to develop a model that could be used for estimating
the level of the effect of the highlighted determinants on food retail prices. Research …

Estimation of retail food prices: case of Lithuania

M Morkunas, A Volkov… - International journal of …, 2021 - inderscienceonline.com
The goal of the current study is to highlight the factors that could affect retail food prices and
develop an econometrical model for estimating the level of the impact of the identified …

Análisis e Identificación de trayectorias de movilidad y modos de transporte utilizando datos de GPS

JN Barros Pacheco, MF Reinoso Gómez - 2024 - dspace.ucuenca.edu.ec
Population growth has increased global traffic, intensifying greenhouse gas emissions.
Therefore, the detection of transportation modes is crucial for identifying how people move in …

[PDF][PDF] Mobility Patterns for Context-aware Ridesharing Services

IA Mendoza Vazquez - 2020 - lirias.kuleuven.be
Dynamic ridesharing is a mobility service where car drivers offer available seats in their car
for sharing with passengers whose origin and destination happen to be close to their …