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2024 Vol.42, Issue 1 Preview Page


29 February 2024. pp. 60-76
Ghamarian I., Marquis E.A. (2019), Hierarchical Density-based Cluster Analysis Framework for Atom Probe Tomography Data, Ultramicroscopy 2019, 200, 28-38. 10.1016/j.ultramic.2019.01.01130822614
Ibrahim R., Shafiq M.O. (2018), Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips, In Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), Berlin, Germany, 130-135. 10.1109/ICDIM.2018.884713530851767
IPART (2017), Maximum Fares for Rural and Regional Bus Services
Kim G.H., Lee S.G., Bae Y. G., Lee J. H. (2019), A Study on Enhancing Equity of Advanced Transportation Services: Focusing on Shared-use Mobility, Korea Research Institute for Human Settlements.
Lee J.B. (2020), A Study on the Introduction of Public Taxi in Daejeon (대전시 공공형 택시 도입 연구), Daeheon Sejong Research Institute, Policy Research Report.
Lentzakis A.F., Seshadri R., Akkinepally A., Vu V.A., Ben-Akiva M. (2020), Hierarchical Density-Based Clustering Methods for Tolling Zone Definition and Their Impact on Distance-Based Toll Optimization, Transp. Res. Part C Emerg. Technol, 118. 10.1016/j.trc.2020.102685
Lyu Y., Chow C. Y., Lee V. C., Ng J. K., Li Y., Zeng J. (2019), CB-Planner: A Bus Line Planning Framework for Customized Bus Systems, Transportation Research Part C: Emerging Technologies, 101, 233-253. 10.1016/j.trc.2019.02.006
Ma X., Liu C., Wen H., Wang Y., Wu Y. J. (2017), Understanding Commuting Patterns Using Transit Smart Card Data, Journal of Transport Geography, 58, 135-145. 10.1016/j.jtrangeo.2016.12.001
Ministry of Land, Infrastructure and Transport(MOLIT) and Ministry of Agriculture, Food and Rural Affairs(MAFRA) (2023), Guidelines for Operation of Urban Transportation Model (City) and Rural Transportation Model (County) in 2023 (2023년 도시형 교통모델(시), 농촌형 교통모델(군) 운영지침)
Ministry of the Interior and Safety (MOIS) (2021), 2021-66.
Papanikolaou A., Basbas S., Mintsis G., Taxiltaris C. (2017), A Methodological Framework for Assessing the Success of Demand Responsive Transport (DRT) services, Transportation Research Procedia, 24, 393-400. 10.1016/j.trpro.2017.05.095
Shanthappa N. K., Mulangi R. H., Manjunath H. M. (2023), The Spatiotemporal Patterns of Bus Passengers: Visualisation and Evaluation using Non-negative Tensor Decomposition, Journal of Geovisualization and Spatial Analysis, 7(1), 9. 10.1007/s41651-023-00139-z
Song G.Y., Lee H.D., Kang Y.C., Kim Y.S., Park S. Y., Song G. H. (2009), A Study on the Demand Response Bus (DRT) System in Gyeongsangnam-do (경남의 수요감응형버스 (DRT) 시스템에 관한 연구), Gyeongnam institute, 1-117.
Tao S., Rohde D., Corcoran J. (2014), Examining the Spatial-Temporal Dynamics of Bus Passenger Travel Behaviour Using Smart Card Data and the Flow-Comap, J Transp Geogr, 41, 21-36. 10.1016/j.jtrangeo.2014.08.006
TCRP Report 140 (2010), A Guide for Planning and Operating Flexible Public Transportation Services, Research sponsored by the Federal Transit Administration in cooperation with the Transit Development Corporation, Washington D.C., US.
Zhang D.Z., Lee K., Lee I. (2018), Hierarchical Trajectory Clustering for Spatio-Temporal Periodic Pattern Mining, Expert Syst. Appl 2018, 92, 1-11. 10.1016/j.eswa.2017.09.040
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 42
  • No :1
  • Pages :60-76
  • Received Date : 2023-11-16
  • Revised Date : 2023-12-05
  • Accepted Date : 2023-12-28