Characteristics and categorization of transportation organizations Organisational structure Activity (function) structure functional unit organisational unit sub-system input, stored, output information Adaptivity of the system Comparison of transportation organisations by transport modes ORGANI- SATION FEATURES INFLUENCING INFORMATICS RAIL TRANSPORT I. SHIPPING II. AIR TRANSPORT III. number of employees ten thousands some thousands some thousands type of organization (in Hungary) highly centralized and hierarchical structure centralized centralized traffic control, but decentralized company ROAD TRANSPORT IV. hundred thousands, but few tens, hundreds per company decentralized
Classification of transportation organisations Science, education Technology Regulation, society Universities Transport, infrastructure and traffic planning companies Governmental regulatory institutions Institutes for research, development and innovation Transport operators Transport organizers Infrastructure operators Municipalities Advisory companies Transportation informatics system developer companies (technology research) Non-governmental organizations (NGOs), associations
Examples Scientific, education background Research institutes Közlekedéstudományi Intézet Nonprofit Kft. Technological background Transport and traffic planning companies FŐMTERV Mérnöki tervező Zrt. UVATERV Út- Vasúttervező Zrt. Pro Urbe Mérnöki és Városrendezési Kft. TRENECON COWI Tanácsadó és Tervező Kft. KÖZLEKEDÉS Fővárosi Tervező Iroda Kft. Regulatory, social background Governmental regulatory institutions Nemzeti Fejlesztési Minisztérium Nemzeti Infrastruktúra Fejlesztő Zrt. Nemzeti Fejlesztési Ügynökség Nemzeti Közlekedési Hatóság* Transport operation Infrastructure operation VOLÁN Társaságok MÁV-START Zrt. GySEV Zrt. Városi közlekedési cégek Wizz Air Hungary Kft. BKK Zrt. Magyar Közút Nonprofit Zrt. Nemzeti Útdíjfizetési Szolgáltató Zrt. MÁV Pályavasút BKK Közút Zrt. HungaroControl Zrt. Budapest Airport Zrt.. Universities BME, Közlekedésmérnöki és Járműmérnöki Kar Széchenyi István Egyetem, Műszaki Tudományi Kar Transportation informatics system developer (technological research) companies Synergon Informatikai NyRt. T-Systems Magyarország Zrt. MÁV Szolgáltató Központ Zrt. i-cell Kft. Best Way Kft. SZTAKI Bay Zoltán Alkalmazott Kutatási Közhasznú Nonprofit Kft. NGOs, associations Magyar Közlekedési Klub Magyar Kerékpáros Klub Levegő Munkacsoport Közlekedéstudományi Egyesület ITS Hungary Egyesület VEKE *NKH: responsible for the legality of the technical quality of infrastructure and transportation means, technical and transportation knowledge trainings.
Typical structure of transportation organisations
BKK organisation structure (2015) Supervisory board CEO Assistance Innovation Mobility Sales
BKV Zrt. organisation structure (2015)
Volán Group (Association), Volán companies, MÁV-group ÖBB organisation structure
DB organisation structure
Activity structure of transportation companies (functional pie-chart) 6 5 4 3 2 1 1 2 1 2 3 4 1 3 2 1
functions of levels and characteristics of information handling Structure of levels I. Top level II. Middle level III. Low level the organising principle is the internal information needs of organizations multi-level planning X. level m X. level functional analysis process analysis II. I. aim function system (representation on planes) III. X. level 1. X. level.. m. information system= departments + machine (ICT) systems
Functions requiring information supply Urgent, in one day Medium-term 1-5 years Long-term 5, 10, 15 years Management levels Proportion of timeliness of information supply on levels Time horizon Decisions in overall organization issues, planning, control, external communication Top level C A short-term cycle information B middle-term cycle information C long-term cycle information Capacity and exploitation planning B Middle level Planning, and control regarding operative solution of tasks A Low level
Relative information supply characteristics of levels Top level Middle level Low level Volume of information Spatial extent of information Cycle time of information with same aim sec, min, hour Rate of regulation of information Rate of compression of used information Rate of used deterministic information Rate of used, presumptive information
Cargo, passenger enter Real transportation demand Demand determination Change of the accuracy of transportation demand data + Overestimation of actual demand 24 hours + Capacity realization - Underestimation of actual demand - - t t >1 year Transport demand t >1 year Capacity planning t 1 year Preliminary capacity utilization planning t < 1 day Operative capacity utilization planning