Factors influencing user behaviour in micromobility sharing systems: A systematic literature review and research directions
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 …
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 …
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
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 …
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 …
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 …
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 …
(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 …
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 …
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 …
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
Understanding the spatiotemporal variation of high-efficiency ride-hailing orders (HROs) is
helpful for transportation network companies (TNCs) to balance the income of drivers …
helpful for transportation network companies (TNCs) to balance the income of drivers …