BSI PD CEN/TR 17370:2019

1.1 Introduction

The OpRa work scope is the definition of a minimum set of Public Transport raw data needed as PT quantitative analysis enabling factor. To obtain this considering all the several aspects involved in this complex domain, the work has been conducted through the following phases:

1. assessment;

2. use cases definition and classification;

3. indicators definition;

4. raw data identification.

OpRa work does not go into the field of service quality measurement and reporting: service quality analysis will of course use data provided by OpRa, but quality definition remains a contractual level issue between a Public Transport Authority and a Public Transport Operator or an operator’s internal choice for a purely private service. OpRa mainly only reports unbiased actual data (i.e. measured or observed), described and aggregated in a shared and understandable way.

The OpRa work documented in detail in this document is coherent with EU Directive 2010/40. In particular, it relates to the Article 4² of the Delegated Regulation EU 2017/1926 [33], as regards the historic data. OpRa proposes to complement NeTEx (dedicated to the static scheduled information), for the historic data based on the underlying conceptual data reference model Transmodel EN 12896, similarly to the requirement of the Delegated Regulation EU 2017/1926 referring to the static scheduled information³.

1.2 Assessment phase

The assessment phase has been conducted studying the following aspects:

• national scenarios for public transport raw data and statistics exchange, to identify indicators needs and usage;

• public transport KPI definition in research projects to consider what has been already done in literature and research;

• relations with public transport EU norms, to be coherent with already existent PT norms.

Moreover, involved actors and stakeholders have been identified like: Public Transport Authority (PTA), Public Transport Agencies, Public Transport Operator (PTO), system integrators and passengers, analysing public transportation Planning and Operation process, that have been divided into five main stages to group all the activates that characterize the Public Transport Service:

• strategic planning: definition of network elements (lines, stops), main service parameters (vehicles sizes, operation intervals, service intervals for important time demand types), and guaranteed interchanges are planned;

• tactical planning: operators plan their resource usage (vehicles, rolling stock, personnel), with detailed timetables for each resource unit;

• before travel: all planned networks and timetables are published. Passengers and other types of clients can plan their use of the offered transportation services via printed and electronic media, and make their reservations as needed;

• in-travel: the transportation service is conducted. Real-time information exchange is available while this takes place and can be recorded;

• study and control: in this stage, operators and authorities review the history of actual operations, which could lead to improvements through operational changes, or an optimization of strategic and tactical planning.

The PTA and PTO are interested in all the defined stages, meanwhile from the passenger point of view; only the last three stages are relevant (all the preparation work being hidden).

Figure 3 Public Transport Service phases

During the assessment the most relevant research projects results have been considered and a deep analysis of the roles and usage of Public Transport Standards have been completed to guarantee a coherent approach of OpRa.

The first four stages are under the scope of NeTEx (Network Timetable Exchange) and SIRI (Service Interface for Real Time Information) and the last stage is the additional scope to be covered by OpRa. All these standards are compliant with the European Public Transport Reference Data Model (Transmodel).

NeTEx supports data exchange for the Strategic Planning and Tactical Planning stages, with data more than 24 h before validity date. In the Before Travel stage, NeTEx can be used to publish all planned data to client systems. Meanwhile SIRI supports “in-travel / in-operation” data exchange.

The OpRa scope is mainly concentrated to support data exchange for the Study and Control stage and it mainly focus on actual and measured information, i.e. information that cannot be changed anymore in the future. The OpRa covered concepts are based on following Transmodel domains:

• operations monitoring and control (Part 4);

• management information and statistics (Part 8).

1.3 Use cases definition and classification phase

To identify the set of raw data, a clear definition of use cases that, based on the assessment phase results, describes the indicators definition and usage to satisfy the Public Transport Study and Control phase is needed.

In this complex and articulate scenario, the work bring to a definition of several use cases this led to the needs to aggregate them and classify accordingly.

1.4 Indicators definition phase

For each defined use case an indicator has been formally defined, including its formulae. It has been advised that some indicators could have particular importance in for the Quantitative Analysis and in this perspective they could be considered Key Process indicators (KPI), for the purpose of this OpRa work, indicators and KPI are used as synonyms.

1.5 Raw data identification phase

After use cases and indicators have been defined, the work enter in the phase of raw data identification for the calculation of the indicators included all use cases. Due to the high level of complexity of the results, a traceability matrix has been identified.

PDF Catalog

PDF Pages	PDF Title
2	undefined
12	1 Scope 1.1 Introduction 1.2 Assessment phase
14	1.3 Use cases definition and classification phase 1.4 Indicators definition phase 1.5 Raw data identification phase 2 Normative references 3 Terms and definitions
17	4 Symbols and abbreviations
18	5 National scenarios for Public Transport raw data and statistics exchange 5.1 General 5.2 France 5.2.1 General 5.2.2 Rail reporting
19	5.2.3 Local public transport reporting
20	5.2.4 Quality, economic and sociologic management 5.2.5 Security analysis
21	5.3 Hungary
22	5.4 Italy
23	5.5 The Netherlands 5.5.1 General
24	5.5.2 Monitoring
25	5.5.3 Reporting
26	5.6 Slovenia 5.6.1 General 5.6.2 Collecting and reporting of Public Transport raw data (operational statistics)
28	5.7 Slovakia
30	5.8 Spain
33	6 Public Transport KPI definition in research projects 6.1 General
34	6.2 EBSF — European Bus System of the Future (2008 to 2013) 6.3 KPI description
37	6.4 MEDIATE — Methodology for describing the Accessibility of Transport in Europe (2008 to 2010) 6.4.1 General 6.4.2 KPI description
39	6.5 CONDUITS — Coordination of Network Descriptors for Urban Intelligent Transportation Systems (2009 to 2011) 6.5.1 General 6.5.2 KPI description 6.5.2.1 General
40	6.5.2.2 Traffic efficiency 6.5.2.3 Traffic safety 6.5.2.4 Indices for pollution reduction 6.5.2.5 Index for public transport usage of special groups
41	6.6 METPEX — a MEasurement Tool to determine the quality of Passenger Experience (2012 to 2015) 6.6.1 General
42	6.6.2 KPI description 6.6.2.1 General
43	6.6.2.2 Mode-specific indicators
44	6.6.2.3 User group-specific indicators
46	6.6.2.4 Indicators for special users groups riding public transport
47	6.6.2.5 Example of bus service indicator computation
48	6.7 TIDE — Transport Innovation Deployment for Europe (2012-2015) 6.7.1 General
49	6.7.2 KPI description
51	6.8 D3IMPACT — Data-driven decisions for intelligent management of public transportation (2015 to 2016) 6.8.1 General
52	6.8.2 KPI description 6.9 CELSO — Low-cost and high-performance pocket Automated Vehicle Monitoring system for Public Transport (2016) 6.9.1 General
53	6.9.2 KPI description 6.10 MOP — Mobility Operation Platform: an Italian research and development project 6.10.1 General
54	6.10.2 Operation Monitoring Control: Status and Process KPI in PT Systems
55	6.10.3 Evaluation standards of the PT service
56	6.10.4 MOP Outline: indicators and methodologies for monitoring public transport services 7 Use cases 7.1 Purpose
57	7.2 Actors and use case categories 7.2.1 Actors 7.2.2 Use case categories
58	7.2.3 Collection of use cases 7.2.3.1 General
62	7.2.3.2 High Level Generic use cases
65	7.2.3.3 Service Offer use cases
76	7.2.3.4 Service Demand use cases
85	7.2.3.5 Service Externality use cases
88	7.2.3.6 Service Economy use cases
99	7.2.3.7 Service Efficiency use cases
107	8 Compatibility with existing standards and recommendations 8.1 Compatibility with Transmodel 8.1.1 General
108	8.1.2 Raw data and indicators 8.1.3 Data structure representation 8.1.3.1 Generic Loggable Object model
110	8.1.3.2 Loggable Object model applied to boarding-based Demand Dimensions
111	8.1.3.3 Loggable Object model applied to device-based Demand Dimensions 8.1.3.4 Loggable Object model applied to ticketing-based Demand Dimensions
113	8.2 Compatibility with EN 13816:2002 — Service Quality Definition, Targeting and Measurement
114	8.3 Compatibility with EN 15140:2006 — Basic requirements and recommendations for systems that measure delivered service quality
115	9 OpRa Generic Physical Model and XSD early draft 9.1 General 9.2 What is a physical model
116	9.3 First input toward an XML (XSD) model implementation
118	Annex A (informative)Data Dictionary A.1 Introduction A.2 DAY TYPE A.3 DRIVER INCIDENT A.4 JOURNEY ACCOUNTING A.5 LINE A.6 SCHEDULED STOP POINT
119	A.7 ROUTE A.8 SERVICE JOURNEY A.9 SERVICE LINK A.10 SERVICE JOURNEY PATTERN A.11 VEHICLE INCIDENT A.12 VEHICLE JOURNEY A.13 VEHICLE TYPE
120	A.14 VEHICLE MONITORING A.15 TARGET PASSING TIME
121	Annex B (informative)Research Projects vs. OpRa KPI B.1 General B.2 Comparison between EBSF and OpRa KPI
122	B.3 Comparison between MEDIATE and OpRa KPI
125	B.4 Comparison between CONDUITS and OpRa KPI
126	B.5 Comparison between METPEX and OpRa KPI
129	B.6 Comparison between TIDE and OpRa KPI
130	B.7 Comparison between D3IMPACT and OpRa KPI
131	B.8 Comparison between CELSO and OpRa KPI

Status	Definitive
Pages	134
Publication Date	2019-07-12
ISBN	978 0 539 03469 1
Standard Number	PD CEN/TR 17370:2019
Title	Public transport. Operating raw data and statistics exchange
Identical National Standard Of	CEN/TR 17370
Descriptors	Information technology, Data processing, Application software, Systems analysis, Transport
Publisher	BSI
Committee	EPL/278
ICS Codes	35.240.60 - IT applications in transport