EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 593 (2024) E3S Web Conf., 593 (2024) 02001 References
Open Access
Issue
E3S Web Conf.
Volume 593, 2024
International EcoHarmony Summit (IES 2024): Navigating the Threads of Sustainability
Article Number 02001
Number of page(s) 15
Section Urban Planning for Sustainable Cities
DOI https://doi.org/10.1051/e3sconf/202459302001
Published online 21 November 2024
  1. I. O. Olayode. B. Du. A. Severino. T. Campisi. and F. J. Alex. Systematic literature review on the applications. impacts. and public perceptions of autonomous vehicles in road transportation system. J. Traffic Transp. Eng. (English Ed.. 10 (6). (2023). doi: 10.1016/j.jtte.2023.07.006. [Google Scholar]
  2. 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]
  3. E. Ferrari. P. Christidis. and P. Bolsi. The impact of rising maritime transport costs on international trade: Estimation using a multi-region general equilibrium model. Transp. Res. Interdiscip. Perspect.. 22 (100985). (2023). doi: 10.1016/j.trip.2023.100985. [Google Scholar]
  4. T. Meyer-Hollatz. M. Kaiser. R. Keller. and M. Schober. Understanding information needs for seamless intermodal transportation: Evidence from Germany. Transp. Res. Part D Transp. Environ.. 130 (104161). (2024). doi: 10.1016/j.trd.2024.104161. [Google Scholar]
  5. A. Laurentia. and Syafi’i. Pemodelan Pemilihan Moda Angkutan Antar Kota Bus dan Kereta Api (Studi Kasus Bus dan Kereta Api Jurusan Yogyakarta-Madiun). 30. (2013). [Google Scholar]
  6. I. B. Putu Widiarta. Analisis Pemilihan Moda Transportasi Untuk Perjalanan Kerja. (2010). [Google Scholar]
  7. F. Tampubolon. W. Seno. and S. Sarjana. Analysis of lashing gear in ship loading spaces to meet safety transportation. E3S Web Conf.. 519. (2024). doi: 10.1051/e3sconf/202451903024. [Google Scholar]
  8. Sugiyanto. I. Wayan Arnaya. S. Sylvan Ryanto. and A. B. Oka Khrisna Surya. Analisa Faktor Permilihan Moda Transportasi Menggunakan Metode Analytic Hierarchy Process. J. Teknol. Transp. dan Logistik. 2 (1). (2021). [Google Scholar]
  9. A. Maulana. S. Sarjana. and T. R. Prastya. Traffic Performance Analysis in The Traditional Market Area. in E3S Web of Conferences. vol. 576 (05003). (2024). doi: 10.1051/e3sconf/202457605003. [Google Scholar]
  10. R. I. Salas. and S. Sarjana. Peningkatan Kinerja Jaringan Jalan Alternatif Melalui Efektivitas Jalan Lingkar. J. Transp. Multimoda. 21 (2). (2024). doi: 10.25104/mtm.v21i2.2277. [Google Scholar]
  11. T. Yang. Z. Chu. and B. Wang. Feasibility on the integration of passenger and freight transportation in rural areas: A service mode and an optimization model. Socioecon. Plann. Sci.. 88 (101665). (2023). doi: 10.1016/j.seps.2023.101665. [Google Scholar]
  12. S. Sarjana. Analisis Bibliometrik Transit-Oriented Development. War. Penelit. Perhub.. 34. no. 2. pp. 149–160. (2022). doi: 10.25104/warlit.v34i2.1816. [Google Scholar]
  13. V. Sunio. A. Fillone. R. P. Abad. J. Rivera. and M. D. Guillen. Why does demand-based transport planning persist? Insights from social practice theory. J. Transp. Geogr. 111 (103666). (2023). doi: 10.1016/j.jtrangeo.2023.103666. [Google Scholar]
  14. D. Sun. and J. Xia. Research on road transport planning aiming at near zero carbon emissions: Taking Ruicheng County as an example. Energy. 263 (125834). (2023). doi: 10.1016/j.energy.2022.125834. [Google Scholar]
  15. O. Z. Tamin. Perencanaan & Pemodelan Transportasi. 2nd Edition. Bandung: Penerbit ITB. (2000). [Google Scholar]
  16. K. Zhang and M. Chen. Multi-method analysis of urban green space accessibility: Influences of land use. greenery types. and individual characteristics factors. Urban For. Urban Green.. 96 (128366). (2024). doi: 10.1016/j.ufug.2024.128366. [Google Scholar]
  17. A. Y. E. Pramana. Tingkat Aksesibilitas Transportasi Publik di Kota Yogyakarta. Reka Ruang. 1 (1). (2018). doi: 10.33579/rkr.v1i1.775. [Google Scholar]
  18. 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]
  19. I. B. P. Widiarta. Analisis Pemilihan Moda Transportasi Untuk Perjalanan Kerja. J. Ilm. Tek. Sipil. 14 (2). (2010). [Google Scholar]
  20. X. Iogansen. Y. Lee. M. Young. J. Compostella. G. Circella. and A. Jenn. Ridehailing use. travel patterns and multimodality: A latent-class cluster analysis of one-week GPSbased travel diaries in California. Travel Behav. Soc.. 38 (100855). (2025). doi: 10.1016/j.tbs.2024.100855. [Google Scholar]
  21. E. Buchari. Pengembangan Angkutan Umum Rural Melalui Konsep Angkutan Umum Multimoda. 18th FSTPT Int. Symp. Unila. Bandar Lampung. 28. (2015). [Google Scholar]
  22. M. A. Shabur and M. F. Ali. Perspectives and possibilities for developing ride-sharing services to promote sustainable mode of transport: Bangladesh perspective. Heliyon. 10 (e33115). (2024). doi: 10.1016/j.heliyon.2024.e33115. [CrossRef] [PubMed] [Google Scholar]
  23. M. Jahan. Factors Affecting Customer Satisfaction of the Ride-sharing Industry in Bangladesh. Bus. Ethics Leadersh.. 3 (4). (2019). doi: 10.21272/bel.3(4).74-80.2019. [CrossRef] [Google Scholar]
  24. R. Nusantara. H. Soesanto. W. T. Mi Tobing. and B. Setiawan. Ride Sharing Cooperation as an Alternative Effort to Improve Sales Performance. Qual. Access to Success. 23 (189). (2022). doi: 10.47750/QAS/23.189.24. [Google Scholar]
  25. A. N. Laurentia and Syafi’i. Pemodelan Pemilihan Moda Angkutan Antar Kota Bus dan Kereta Api (Studi Kasus Bus dan Kereta Api Jurusan Yogyakarta-Madiun). Matriks Tek. Sipil. 1 (2). (2013). doi: 10.20961/mateksi.v1i2.37544. [Google Scholar]
  26. L. Mwesigwa. Z. Yin. and S. Farber. Evaluating the level of access and equity of the bus rapid transit (BRT) system: The case of Dar-Es-Salaam. Tanzania. J. Transp. Geogr.. 119 (103953). (2024). doi: 10.1016/j.jtrangeo.2024.103953. [Google Scholar]
  27. E. Bagheri. M. Masih-Tehrani. M. Azadi. A. Moosavian. S. Sayegh. and M. Hakimollahi. Unveiling the impact of date-specific analytics on vehicle fuel consumption and emissions: A case study of Shiraz city. Heliyon. 10 (e36713). (2024). doi: 10.1016/j.heliyon.2024.e36713. [CrossRef] [PubMed] [Google Scholar]
  28. A. A. Tanjung and Muliyani. Metodologi Penelitian Sederhana. Ringkas. Padat dan Mudah Dipahami. Surabaya: Scopindo Media Pustaka. (2021). [Google Scholar]
  29. A. L. Ozioko. N. N. Topman. C. N. Nwosu. S. E. Fadugba. K. Malesela. R. O. Aja. O. C. Collins. Quantitative assessment of targeted testing and antiretroviral therapy integration in mathematical modeling of HIV/AIDS dynamics. Sci. African. 25 (e02291). (2024). doi: 10.1016/j.sciaf.2024.e02291. [Google Scholar]
  30. G. Mustafa. A. Rauf. A. S. Al-Shamayleh. M. T. Afzal. A. Waqas. and A. Akhunzada. Defining quantitative rules for identifying influential researchers: Insights from mathematics domain. Heliyon. 10 (e30318). (2024). doi: 10.1016/j.heliyon.2024.e30318. [CrossRef] [Google Scholar]
  31. 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. [Google Scholar]
  32. H. Kusumastuti. D. Pranita. M. Viendyasari. M. S. Rasul. and S. Sarjana. Leveraging Local Value in Post-Smart Tourism Village to Encourage Sustainable Tourism. Sustainability. 16 (873). (2023). doi: 10.3390/su16020873. [Google Scholar]
  33. S. Zeng, X. J. Xiang, Y. P. Dou, J. C. Du. and G. He. UAV data link anti-interference via SLHS-SVM-AdaBoost algorithm: Classification prediction and route planning, J. Electron. Sci. Technol. 22 (100279), (2024), doi: 10.1016/j.jnlest.2024.100279. [CrossRef] [Google Scholar]
  34. M. Flesser, A. Shalaby. and B. Friedrich. Integration of urban aerial cable cars into public transit: Operational capacity limits due to passenger queuing at stations. J. Public Transp. 26 (100094). (2024). doi: 10.1016/j.jpubtr.2024.100094. [CrossRef] [Google Scholar]
  35. R. Y. Sujanto, S. G. M. Herrera. and Y. T. Negash. Enhancing environmental sustainability in a Circular Waste Bioeconomy: A hierarchical framework driven by operational efficiency and agro-energy management. Clean. Circ. Bioeconomy. 9 (100115). (2024). doi: 10.1016/j.clcb.2024.100115. [Google Scholar]
  36. D. Joshi, W. Takeuchi, N. Kumar. and R. Avtar. Multi-hazard risk assessment of rail infrastructure in India under local vulnerabilities towards adaptive pathways for disaster resilient infrastructure planning. Prog. Disaster Sci. 21 (100308). (2024). doi: 10.1016/j.pdisas.2023.100308. [CrossRef] [Google Scholar]
  37. M. S. Eshaghi, M. Afshardoost, G. Lohmann. and B. D. Moyle. Drivers and outcomes of airline passenger satisfaction: A Meta-analysis. J. Air Transp. Res. Soc. 3 (100034). (2024). doi: 10.1016/j.jatrs.2024.100034. [CrossRef] [Google Scholar]
  38. M. Harfeldt-berg. Environmental Sustainability from a Decoupling Point Perspective. Clean. Logist. Supply Chain. 100181. (2024). doi: 10.1016/j.clscn.2024.100181. [Google Scholar]
  39. A. D. Marra and F. Corman. How different network disturbances affect route choice of public transport passengers. A descriptive study based on tracking. Expert Syst. Appl. 213 (119083). (2023). doi: 10.1016/j.eswa.2022.119083. [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.