Spatial Demand Prediction of On-Demand Ride-Pooling Based on Origin-Destination-Regressions DOI
Tom-Erik Kuhlen,

Nico Kuehnel,

Felix Zwick

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

On non-myopic internal transfers in large-scale ride-pooling systems DOI
Farnoosh Namdarpour, Bingqing Liu,

Nico Kuehnel

и другие.

Transportation Research Part C Emerging Technologies, Год журнала: 2024, Номер 162, С. 104597 - 104597

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

3
Carbon savings in ride-pooling: A data-driven, route-based analysis from East Asia DOI Creative Commons
Zengjie Jiang, Tianqi Gu, Jiayan Zhang

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2025, Номер 144, С. 104764 - 104764

Опубликована: Апрель 25, 2025

Язык: Английский

Процитировано

0
The multimodal dynamics of “ride-pooling” and metro: Spatial-temporal patterns from East Asia DOI Creative Commons
Weiping Xu, Tianqi Gu, Hyungchul Chung

и другие.

Journal of Transport Geography, Год журнала: 2025, Номер 127, С. 104295 - 104295

Опубликована: Май 28, 2025

Язык: Английский

Процитировано

0
A phase-based perspective on urban demand responsive transport: A case study of Viavan pilot in Helsinki Capital Region DOI Creative Commons
Muhammad Atiullah Saif, Charalampos Sipetas, Miloš N. Mladenović

и другие.

Case Studies on Transport Policy, Год журнала: 2023, Номер 15, С. 101123 - 101123

Опубликована: Ноя. 20, 2023

Despite decade-long efforts, real-time demand-responsive transport (DRT) services are still struggling to be a part of sustainable urban mobility systems. Among various approaches understand the changing nature DRT service, longitudinal perspective has been found very effective. This study presents case an pilot operated by Viavan in Helsinki Capital Region, Finland. Research develops and implements framework for analysis, while drawing from multi-level (MLP) on sustainability transitions. trip data is used service trajectory longitudinally over specific phases, delineated through key changes design. In addition, uses three-level analysis parameters, provide in-depth studying inter-phase intra-phase changes. Case approach also provides comprehensive area background implementation context support analysis. Results shows complementary role fixed public points out certain challenges efficient coordination. towards set regime factors that should considered further understanding trajectory. practice, special emphasis paid developing ecosystem managerial practices. Future studies develop additional frameworks, indicators methods transitions theory, trajectories time.

Язык: Английский

Процитировано

4
Spatial Demand Prediction of On-Demand Ride-Pooling Based on Origin-Destination-Regressions DOI
Tom-Erik Kuhlen,

Nico Kuehnel,

Felix Zwick

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0