Produktbild: Demand-Responsive Transit Systems
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Demand-Responsive Transit Systems Operation and Management Solutions

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.05.2026

Abbildungen

VIII, 55 illus., 45 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Kai Liu + weitere

Verlag

Springer Singapore

Seitenzahl

218

Maße (L/B/H)

24,1/16/1,8 cm

Gewicht

551 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9564-76-7

Beschreibung

Portrait

Kai Liu , Ph.D., Professor, professor at School of Economics and Management, Dalian University of Technology, China. His areas of specialties include AI supported transportation planning and management, travel behavior modeling, Geoscience in Transportation, Transportation Electrification and autonomous transport systems. He is an associate editor (AE) of Transportation Research Part D and Asian Transport Research. Dr. LIU Kai received his Ph.D. degree in Transportation Engineering from Nagoya University in 2006, and received a M. Eng. and a B.Eng. degree in Urban Planning from Tongji University, China. He has published 100+ academic papers in professional journals, among which 60+ papers have been indexed by SCI/SSCI. His papers have been non-self cited around 3400+ times according to Google Scholar. Recently, His studies focus on key technologies and methodologies in transportation field (including elaborate data collection and treatment, data fusion, pattern recognition, visualization and information mining), green transportation systems (including electric vehicles system and demand-responsive bus system, as well as the technologies for reducing traffic energy consumptions and emissions).

Tao Liu , Ph.D., Professor, professor at Southwest Jiaotong University. He graduated from the University of Auckland, New Zealand. Dr. Liu's research interests include public transport, smart mobility, multimodal transport, and sustainable transport. He has published more than 80 papers in prestigious academic journals and conferences, including  Transportation Research Part A/B/C/D/E, IEEE Transactions on ITS, Transport Policy, Transport Reviews, Omega, Computers & Industrial Engineering, and ISTTT .

Jiangbo Wang , Ph.D., Associate Professor, graduated from Nagoya University in Japan with a Ph.D. degree, and then joined Dalian University of Technology, China until now. He serves as a reviewer for Transportation Research Part A/C/D, Transportation, Transport Policy and other mainstream journals. He has published more than 20 peer-reviewed papers in Transportation Research Part A/C/D/E, Transport Policy and other outstanding journals. His main research interests include travel behavior analysis, shared transportation system analysis, and transportation big data mining and modelling.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.05.2026

Abbildungen

VIII, 55 illus., 45 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

218

Maße (L/B/H)

24,1/16/1,8 cm

Gewicht

551 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9564-76-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Demand-Responsive Transit Systems
  • Part I. Demand-Responsive Transit System.- Chapter 1. Operations and management frameworks for DRT.- Chapter 2 Challenges in Operation and Management of DRT Systems, Retrospective, New Developments, and Prospects.- Part II. Data-Driven DRT Operation Optimization.- Chapter 3. Optimal Routing Design for Demand-Responsive Feeder Transit.- Chapter 4. Iterated Clustering Optimization for DRT Stop Locating and Bus Routing.- Chapter 5. Route Planning of DRT Considering Carbon Emission Reduction Benefits.- Chapter 6. DRT Routing Planning under Uncertainty Demands.- Chapter 7 Optimization of Timetabling and Scheduling for Demand-Responsive Feeder Transit.- Part III. Creative DRT Operation Management Strategies and Future Directions.- Chapter 8. Route Planning of DRT Considering Equity and Passenger Satisfaction.- Chapter 9. Carbon Emission Reduction Potential of Customized Bus: An Empirical Assessment.- Chapter 10. Future Directions for DRT Operation and Management.