EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 593 (2024) E3S Web Conf., 593 (2024) 02002 References
Open Access
Issue
E3S Web Conf.
Volume 593, 2024
International EcoHarmony Summit (IES 2024): Navigating the Threads of Sustainability
Article Number 02002
Number of page(s) 23
Section Urban Planning for Sustainable Cities
DOI https://doi.org/10.1051/e3sconf/202459302002
Published online 21 November 2024
  1. S. Z. Althaher, S. W. Alnaser, C. Long, and Y. Zhou, Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits, Appl. Energy, 371 (123714), (2024), doi: 10.1016/j.apenergy.2024.123714. [CrossRef] [Google Scholar]
  2. S. Sarjana, Perspektif Urban Public Transportation dalam Kajian Meta-Analysis, Media Komun. Tek. Sipil, 27 (2), (2021), doi: mkts.v27i2.40635. [Google Scholar]
  3. C. Weibel, L. Dang, and W. von Arx, Choosing a flat rate over a pay-per-use tariff for public transport: Do psychological factors matter?, Transp. Res. Part A Policy Pract., 190 (104247), (2024), doi: 10.1016/j.tra.2024.104247. [CrossRef] [Google Scholar]
  4. J. L. Wasserman, A. Loukaitou-Sideris, H. Ding, and C. Nelischer, The Road, Home: Challenges of and Responses to Homelessness in State Transportation Environments, Transp. Res. Interdiscip. Perspect., 21 (100890), (2023), doi: 10.1016/j.trip.2023.100890. [Google Scholar]
  5. V. Casella, R. Minciardi, and L. Parodi, Optimization of Electric Bus Charging: Integrating Discrete Event Modeling in Public Transportation Systems, IFACPapersOnLine, 58 (2), (2024), doi: 10.1016/j.ifacol.2024.07.108. [Google Scholar]
  6. Y. Weng, J. Zhang, C. Yang, and M. Ramzan, Intermodal travel planning and decision support integrated with transportation and energy systems, Heliyon, 10 (e31577), (2024), doi: 10.1016/j.heliyon.2024.e31577. [CrossRef] [PubMed] [Google Scholar]
  7. N. D. Djajasinga, S. Sarjana, and S. Anggada, Scientific Evolution of the Concept of Integrated Transport System in Meta-Analysis, ENDLESS Int. J. Futur. Stud., 5 (1), (2022), doi: 10.54783/endlessjournal.v5i1.68. [Google Scholar]
  8. A. Heider, J. Huber, Y. Farhat, Y. Hertig, and G. Hug, How to choose a suitable network tariff? Evaluating network tariffs under increasing integration of distributed energy resources, Energy Policy, 188 (114050), (2024), doi: 10.1016/j.enpol.2024.114050. [CrossRef] [Google Scholar]
  9. G. Abrate, M. Piacenza, and D. Vannoni, The impact of Integrated Tariff Systems on public transport demand: Evidence from Italy, Reg. Sci. Urban Econ., 39 (2), (2009), doi: 10.1016/j.regsciurbeco.2008.05.014. [Google Scholar]
  10. D. Šipuš, T. Ležaic, J. Gašparík, and B. Abramovic, A comparative analysis of tariffs in regional railway passenger transport, Transp. Res. Procedia, 55, (2021), doi: 10.1016/j.trpro.2021.06.022. [Google Scholar]
  11. C. Weibel, L. Dang, and W. von Arx, Increasing public transport revenue or intensifying cannibalization: The effects of introducing a new tariff option in addition to pay-per-use and flat rate options, Res. Transp. Bus. Manag., 54 (101129), (2024), doi: 10.1016/j.rtbm.2024.101129. [Google Scholar]
  12. J. Xie, S. Zhan, S. C. Wong, K. Wen, L. Qiang, and S. M. Lo, High-speed rail services for elderly passengers: Ticket-booking patterns and policy implications, Transp. Policy, 125, (2022), doi: 10.1016/j.tranpol.2022.05.009. [Google Scholar]
  13. A. Vigren and R. Pyddoke, The impact on bus ridership of passenger incentive contracts in public transport, Transp. Res. Part A Policy Pract., 135, (2020), doi: 10.1016/j.tra.2020.03.003. [Google Scholar]
  14. N. Sharaby and Y. Shiftan, The impact of fare integration on travel behavior and transit ridership, Transp. Policy, 21, (2012), doi: 10.1016/j.tranpol.2012.01.015. [Google Scholar]
  15. A. Almutairi and T. M. Aljohani, Reliability-driven time-of-use tariffs for efficient plugin electric vehicle integration, Sustain. Cities Soc. Vol., 107 (105463), (2024), doi: 10.1016/j.scs.2024.105463. [CrossRef] [Google Scholar]
  16. B. Velkovski, V. Z. Gjorgievski, D. Kothona, A. S. Bouhouras, S. Cundeva, and N. Markovska, Impact of tariff structures on energy community and grid operational parameters, Sustain. Energy, Grids Networks, 38 (101382), (2024), doi: 10.1016/j.segan.2024.101382. [Google Scholar]
  17. T. Takahashi, Economic analysis of tariff integration in public transport, Res. Transp. Econ. Vol., 66, (2017), doi: 10.1016/j.retrec.2017.08.001. [Google Scholar]
  18. T. Strommer, D. Hörcher, and A. Munkácsy, Crowding externalities and optimal subsidies in public transport: Revisiting the Parry–Small model, Res. Transp. Econ., 100 (101324), (2023), doi: 10.1016/j.retrec.2023.101324. [CrossRef] [Google Scholar]
  19. E. P. Raharjo, S. Sarjana, and M. Safitri, Transportation infrastructure planning in supporting disaster mitigation: Case study in Mount Gamalama, Jamba J. Disaster Risk Stud., 14 (1), (2022), doi: 10.4102/jamba.v14i1.1123. [Google Scholar]
  20. A. Sugama and M. Okumura, Simultaneous optimization of network and fares for selffinancing public transportation system, Asian Transp. Stud., 10 (100135), (2024), doi: 10.1016/j.eastsj.2024.100135. [CrossRef] [Google Scholar]
  21. S. Sarjana, Near Field Communication Studies in Transportation Business, 2023 3rd Int. Conf. Intell. Cybern. Technol. Appl. ICICyTA 2023, 10428896, (2023), doi: 10.1109/ICICyTA60173.2023.10428896. [Google Scholar]
  22. S. A. Claudia, A. T. Ramadhina, I. P. N. F. M. Nugraha, and S. Sarjana, Accelerating Battery Electric Vehicle Program through Progressive Carbon Tax and Collection Scheme, in E3S Web of Conferences, 576 (02008), (2024), doi: 10.1051/e3sconf/202457602008. [CrossRef] [EDP Sciences] [Google Scholar]
  23. Amruddin et al., Metodologi Penelitian Kuantitatif dan Kualitatif. Penerbit: Media Sains Indonesia, (2022). [Google Scholar]
  24. D. Pranita, S. Sarjana, B. M. Musthofa, H. Kusumastuti, and M. S. Rasul, Blockchain Technology to Enhance Integrated Blue Economy: A Case Study in Strengthening Sustainable Tourism on Smart Islands, Sustainability, 15 (5342), (2023), doi: 10.3390/su15065342. [CrossRef] [Google Scholar]
  25. H. Fachri and S. Sarjana, Performance evaluation through the effectiveness of resources and reputation: A case study of hospitals in Indonesia, Probl. Perspect. Manag., 20 (3), (2022), doi: 10.21511/ppm.20(3).2022.06. [Google Scholar]
  26. S. Sarjana, N. Khayati, L. Warini, and Praswiyati, Business Sustainability: Efforts To Strengthen Sustainability Corporate In Industrial Estate, E-MABIS J. Ekon. Manaj. dan Bisnis, 21 (1), (2020), doi: 10.29103/e-mabis.v21i1.451. [Google Scholar]
  27. A. Maulana, S. Sarjana, and T. R. Prastya, Traffic Performance Analysis in The Traditional Market Area, in E3S Web of Conferences, 576 (05003), (2024), doi: 10.1051/e3sconf/202457605003. [CrossRef] [EDP Sciences] [Google Scholar]
  28. M. H. Dewan and R. Godina, Seafarers Involvement in Implementing Energy Efficiency Operational Measures in Maritime Industry, Procedia Comput. Sci., 217, (2022), doi: 10.1016/j.procs.2022.12.370. [Google Scholar]
  29. S. Sticher and K. Blättler, Public-Transportation Credits: The potential of three-part tariffs in public transportation, Transp. Res. Part A Policy Pract., 182 (104022), (2024), doi: 10.1016/j.tra.2024.104022. [CrossRef] [Google Scholar]
  30. W. Wu, Z. Ji, and J. Liu, Impact of green financing on CSR and environmental policies and procedures, Heliyon, 10 (e31101), (2024), doi: 10.1016/j.heliyon.2024.e31101. [Google Scholar]
  31. M. E. Rubanda, L. Senyonga, M. Ngoma, and M. S. Adaramola, Energy market integration: Harmonizing tariff recourse policies in East Africa, Util. Policy, 84 (101653), (2023), doi: 10.1016/j.jup.2023.101653. [CrossRef] [Google Scholar]
  32. I. Garcés and A. Vogt, Global value chain integration and non-tariff measures, Econ. Lett., 235 (111518), (2024), doi: 10.1016/j.econlet.2024.111518. [Google Scholar]
  33. J. Y. Yong, W. S. Tan, M. Khorasany, and R. Razzaghi, Electric vehicles destination charging: An overview of charging tariffs, business models and coordination strategies, Renew. Sustain. Energy Rev., 184 (113534), (2023), doi: 10.1016/j.rser.2023.113534. [Google Scholar]
  34. W. Yin, W. Hu, X. Yan, B. Peng, and X. Yang, A time–space network-based model for transportation service optimization of China railway express, High-speed Railw., 2 (3), (2024), doi: 10.1016/j.hspr.2024.08.005. [Google Scholar]
  35. T. A. Miclau, D. J. Bennett, L. Lang, M. Parekh, and T. J. Law, Rideshare-based transportation services for surgical patients in an urban setting: A descriptive analysis of a quality initiative program, J. Transp. Heal., 36 (101813), (2024), doi: 10.1016/j.jth.2024.101813. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.