Factors influencing user behaviour in micromobility sharing systems: A systematic literature review and research directions

MG Elmashhara, J Silva, E Sá, A Carvalho… - Travel Behaviour and …, 2022 - Elsevier
In light of the Micromobility Sharing Systems (MSS) boom, specifically bike and scooter
sharing, related academic studies have grown accordingly in the last few years. However …

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 …

Understanding the spatiotemporal variation of ride-hailing orders under different travel distances

X Li, J Xu, M Du, D Liu, MP Kwan - Travel Behaviour and Society, 2023 - Elsevier
This paper aims to explore the spatio-temporal variation of ride-hailing demands under
different travel distances, using operation data of ride-hailing in Chengdu, China. First, the …

Identifying the factors influencing the choice of different ride-hailing services in Shenzhen, China

X Li, M Du, Y Zhang, J Yang - Travel Behaviour and Society, 2022 - Elsevier
In recent years, transportation network companies have developed various services, such as
express, ride-pooling, premium service and app-based taxi hailing service, to satisfy the …

The forecasting of passenger demand under hybrid ridesharing service modes: A combined model based on WT-FCBF-LSTM

X Li, Y Zhang, M Du, J Yang - Sustainable Cities and Society, 2020 - Elsevier
In order to predict the passenger demand under hybrid ridesharing service modes, firstly,
based on the order data of DiDi Chuxing in Haikou, China, the spatial-temporal …

Exploring influential factors of free-floating bike-sharing usage frequency before and after COVID-19

X Xie, M Du, X Li, Y Jiang - Sustainability, 2023 - mdpi.com
In order to better understand the impact of COVID-19 on the free-floating bike-sharing
(FFBS) system and the potential role of FFBS played in the pandemic period, this study …

Identifying the collaborative scheduling areas between ride-hailing and traditional taxi services based on vehicle trajectory data

Z Zhao, W Yao, S Wu, X Yang, Q Wu, Z Fang - Journal of Transport …, 2023 - Elsevier
Traditional taxi services (TTSs) play an important role in satisfying daily travel demands. The
rapid growth of ride-hailing services (RHSs) has increased the convenience of customized …

Perception-based analysis of the perspectives of users and non-users of different shared mobility services

E Amirnazmiafshar, M Diana - Transportation research …, 2023 - journals.sagepub.com
Perception-based analysis is conducted in this study to specify users' and non-users'
perceptions about shared mobility systems, including their opinions, attitudes, and actual …

Mobile technology and studies on transport behavior: A literature analysis, integrated research model, and future research agenda

Y Sun, C Liu, C Zhang - Mobile Information Systems, 2021 - Wiley Online Library
The prevalence of mobile technology has been significant in transport research. Despite a
growing application spectrum of smartphone uses and interests in mobility inference, little …

[HTML][HTML] Understanding the spatiotemporal variation of high-efficiency ride-hailing orders: A case study of Haikou, China

M Du, X Li, MP Kwan, J Yang, Q Liu - ISPRS International Journal of Geo …, 2022 - mdpi.com
Understanding the spatiotemporal variation of high-efficiency ride-hailing orders (HROs) is
helpful for transportation network companies (TNCs) to balance the income of drivers …