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 …

[HTML][HTML] Impact of data processing on deriving micro-mobility patterns from vehicle availability data

P Zhao, H Haitao, A Li, A Mansourian - Transportation Research Part D …, 2021 - Elsevier
Vehicle availability data is emerging as a potential data source for micro-mobility research
and applications. However, there is not yet research that systematically evaluates or …

A spatial modeling approach to estimating bike share traffic volume from GPS data

MJ Brown, DM Scott, A Páez - Sustainable Cities and Society, 2022 - Elsevier
GPS-equipped bike-share fleets are a source of rich data that can be used to estimate
cycling volumes to assist infrastructure investment decisions aimed at increasing ridership …

Modeling the competitiveness of a bike-sharing system using bicycle GPS and transit smartcard data

C Kapuku, SY Kho, DK Kim, SH Cho - Transportation letters, 2022 - Taylor & Francis
Competitiveness is an important factor for the sustainable mobility of an integrated
multimodal system. In this study, we explore and answer the question concerning what …

Assessing and predicting mobility improvement of integrating bike-sharing into multimodal public transport systems

C Kapuku, SY Kho, DK Kim… - Transportation research …, 2021 - journals.sagepub.com
New shared mobility services have become increasingly common in many cities and shown
potential to address urban transportation challenges. This study aims to analyze the mobility …

[PDF][PDF] Macroscopic Characteristics of Bicycle Traffic Flow

MJ Wierbos - 2021 - repository.tudelft.nl
This dissertation concludes my PhD journey. It was a period full of life-changing experiences
to which I look back with joy and pride. I have learned so much by the many events that have …

Modeling the intermodality between public transport and bike-sharing using smartcard trip Chain data

C Kapuku, SH Park, SH Cho - International Journal of Urban …, 2024 - Taylor & Francis
Intermodality of public transit mitigates the negative impacts in an urban area, and many
cities are opting for develo** a more sustainable and integrated public transport system …

The influence of jam density and merging cyclists on the queue discharge rate

MJ Wierbos, VL Knoop, B Goñi-Ros… - Journal of advanced …, 2020 - Wiley Online Library
An increasing number of people use the bicycle for urban trips resulting in local congestion
at intersections, especially during peak hours. Understanding the queue dynamics is key to …

Spatio-temporal data preprocessing technologies

J Chen, H Zhang, W Li, R Shibasaki - Big Data and Mobility as a Service, 2022 - Elsevier
Big data and modern MaaS research are closely related. The GPS trajectory data, which
indicate the urban mobility pattern, account for a considerable part of the research in MaaS …

Towards a Connective, Sustainable Transportation: A Study of Relationship between Bike Sharing Service and Public Transit in Minneapolis-St. Paul Area

Y Huang - 2020 - search.proquest.com
Public transit offers many socioeconomic and environmental benefits but often suffers from
the first/last-mile problem. Bike sharing service is designed and expected to provide first/last …