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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Istat - Italian National Statistical Institute DIPS/DCAT/ATB - Division for environmental and territorial networks |
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1.2. Contact organisation unit | Istat - Italian National Statistical Institute |
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1.5. Contact mail address | Viale Liegi, 13 00198 Rome Italy
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2.1. Metadata last certified | 05/10/2023 | ||
2.2. Metadata last posted | 05/10/2023 | ||
2.3. Metadata last update | 05/10/2023 |
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3.1. Data description | |||
Mandatory data collection at EU level is based on legal act, the Regulation EU 2018/643 and covers goods and passengers.
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3.2. Classification system | |||
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3.3. Coverage - sector | |||
Railway undertakings (public or private undertakings) which provide services for the transport of goods and/or passengers by rail. Railway undertakings which operate entirely or mainly within industrial areas and similar installations, (including harbours) and railway undertakings which mainly provide local tourist services (such as preserved historical steam railways) are excluded. |
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3.4. Statistical concepts and definitions | |||
The main concepts used in rail domain are:
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3.5. Statistical unit | |||
The reporting unit for rail transport statistic is the railway undertaking who carried out the transport of goods or passengers on the national territory. |
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3.6. Statistical population | |||
Data on passenger and freight transport are collected from the railway undertakings operating at national territory within thresholds mentioned in the rail regulation. |
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3.7. Reference area | |||
Operational railway network on national territory. |
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3.8. Coverage - Time | |||
Data on passengers and goods are covered from 2004 onwards. Data on accidents are covered from 2004 to 2015 (included). |
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3.9. Base period | |||
Not applicable. |
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The volume and performance of rail freight traffic are measured in tonnes (mass) and tonne-kilometres. Passenger transport by rail is measured in the number of passengers and in passenger-kilometres. Information on the number of train kilometres is also available. |
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The tables consist mostly of annual data. There are some tables providing quarterly and quinquennial (every five years) data.
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6.1. Institutional Mandate - legal acts and other agreements | |||
National level:The Rail Transport survey is included in National Statistical Programme, yearly approved by a Republic Presidential decree. Code: IST-01646. European level: Since 2004, the data provision to Eurostat were based on an EP and Council framework legal act (Reg. EU n. 91/2003) and other several implementing Commission Regulations. Since 2018 there was a new legal act (Reg. EU n. 2018/643) after the codification of all previous legal acts. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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7.1. Confidentiality - policy | |||
Several national legal acts guarantee the confidentiality of data requested for statistical purposes. According to art. 9, paragraph 1 of the Italian legislative Decree n. 322 of 1989, personal data can be disseminated but in aggregated form, in order to make it impossible to identify individuals. They can only be used for statistical purposes. Legislative Decree n. 322 of 1989, art. 6 bis and Legislative Decree n. 196 of 2003 Annex A3 (Code of conduct and professional practice applying to the processing of personal data for statistical and scientific research purposes within the framework of the national statistical system), art. 8, provide that the exchange of personal data within the National Statistical System (Sistan) is possible if it is necessary to fulfil requirements provided by the National Statistical Programme or to allow the pursuit of institutional purposes. |
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7.2. Confidentiality - data treatment | |||
The definition of confidentiality violation adopted by the Italian National Statistical Institute is based on the concept of identification of a unit of the observed statistical population. Aggregated data are considered the combination of modalities in which a frequency is not lower than a predetermined threshold to which it is associated. It is the “threshold rule” for which the minimum value attributable to the threshold is equal to three. Therefore figures related to less than three undertakings are considered confidential and are not disseminated. |
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8.1. Release calendar | |||
Each year ISTAT publishes a release calendar access providing the exact dates of press releases |
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8.2. Release calendar access | |||
Not applicable. |
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8.3. Release policy - user access | |||
Time series data related to Rail Transport survey and its updating are disseminated on the ISTAT institutional website (excel table form). Starting from 2019, data are disseminated on I.Stat, the institutional datawarehouse; users can select information according to their needs, building customised tables or downloading prepackaged datasets. Data are always accompanied by meta-information methodologies, classifications, definitions. |
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Dissemination at national level is scheduled on an annual basis (data referred to one survey year are released on december of the consequent year). Aggregated datasets are provided to Eurostat according to the deadlines of Reg. EU 2018/643. |
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10.1. Dissemination format - News release | |||
Currently there are no news releases at national level. |
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10.2. Dissemination format - Publications | |||
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10.3. Dissemination format - online database | |||
Starting from data referred to 2018, a pre-defined set of public tables is uploaded annually on I.$tat database. In the Navigation tree users can select the theme “Services” and then the subject-->Rail Transport. |
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10.4. Dissemination format - microdata access | |||
Not applicable. |
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10.5. Dissemination format - other | |||
Not applicable. |
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10.6. Documentation on methodology | |||
The Istat documentation Information system of statistical metadata and quality indicators - SIDI (https://intranet.istat.it/MetadatiEQualita/Pagine/MetadatiQualita.aspx) allows the ISTAT researchers, to provide, for each survey, informations about the statistical documentation process and the product quality documentation (which includes the minimum set of quality indicators to be disclosed to external users). |
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10.7. Quality management - documentation | |||
The Istat Information system on quality of statistical production processes - SIQual (http://siqual.istat.it/SIQual/welcome.do) enables to display all the information related to Istat statistical production processes and the activities developed to guarantee standard quality of statistics. For details: http://siqual.istat.it/SIQual/visualizza.do?id=7779948 |
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11.1. Quality assurance | |||
Data coherence and quality are pursued by: 1) a profile guided compilation of the web-questionnaires; 2) detailed instructions for each section of the web-questionnaires; 3) check procedure at every stage of the production process on specific dominions; 4) assessment of Eurostat check reports.
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11.2. Quality management - assessment | |||
Actions and tools for quality assurance are: 1) calculation of load and distance indexes for each undertaking; 2) evaluation of the variations and overall trend over time; 3) call-back to respondents; 4) specific reminder program for latecomers respondents. |
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12.1. Relevance - User Needs | |||
The rail data users are: - the research offices of Rail transport companies; - the National Transport Department of the Minister of Infrastructure and Transport; - Foreign Universities; - Trade associations.
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12.2. Relevance - User Satisfaction | |||
Users satisfaction is currently monitored through a permanent working group (Circolo di qualità “Trasporti e Mobilità”) that engages producers and users of official statistics concerning all transport modes and the environment. Railway Transport survey data are appreciated as the main official source of information about road freight transport. |
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12.3. Completeness | |||
The completeness is guarantees by the census survey on rail transport. However the lack of data on a territorial basis in order to identify the origin and destination of transport operations (both for goods and passengers) on annual basis, is persistently stated by public bodies and private users. |
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13.1. Accuracy - overall | |||
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13.2. Sampling error | |||
Not applicable for rail transport data collection. |
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13.3. Non-sampling error | |||
The quality actions to control unit nonresponse are: - Reminder program; - Telephone call-back. The quality actions to control the sources of processing error are: - Adoption of a profile guided compilation of the web-questionnaires: at this level the algorythms is specifically designed to detect different kind of errors. Error messages are displayed (blocking errors) during the guided compiling. - Evaluation of types of errors (blocking errors, systematic errors, random errors, outliers). - Outliers-specific actions: short analysis of the trend in the market segment in which the undertaking operates - Storage of previous version of web questionnaire (with errors) for data related to each undertakings. - Debriefing respondents about their errors, by e-mail or telephone contact. Data are validated to the following sources: - Coherence control with previous data of the same survey Annex; - Calculation of load and distance indexes.
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14.1. Timeliness | |||
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14.2. Punctuality | |||
All the statistics required by the provisions of the Regulation 643/2018 are transmitted to Eurostat within the deadline set up for each annex and without delays. |
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15.1. Comparability - geographical | |||
Not applicable. |
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15.2. Comparability - over time | |||
Comparability over time is respected and generally breaks in series may happen only due to the overcoming of threshold (stated by Reg. UE 2018/643) for the traffic flows of one or more undertakings. |
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15.3. Coherence - cross domain | |||
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15.4. Coherence - internal | |||
Internal coherence of data is pursued. |
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For this survey no outsourced activity is planned. So only internal costs shall be assessed. The survey has 1,5 human resources per year |
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17.1. Data revision - policy | |||
Eurostat datasets are revised on the basis of detected errors or may be occasionally revised if unexpected troubles happen during treatment (e.g. IT recovery, damages etc). |
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17.2. Data revision - practice | |||
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18.1. Source data | |||
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18.2. Frequency of data collection | |||
The data collection process runs on a different time schedule for each module of the survey: Quarterly for undertakings above the threshold Once a year for data collection –annual good data Once a year for data collection – annual passenger data Once a year (every five year) for regional data Once a year (every five year) for data collection on rail network segment. |
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18.3. Data collection | |||
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18.4. Data validation | |||
Validation and imputation is made for all the mandatory variables (internal coherence and correspondence with official classifications). Data check is pursued through IT procedures, and finally through Eurostat check. Coherence of aggregated figures for the main dominions is verified at quarterly and annual level. |
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18.5. Data compilation | |||
The survey management system keep track of incoming response; selected undertakings can be timely identified if they have not replied after a given period; it enalbes the survey manager to address a reminder to the contact person. The web questionnaire includes many datachecks routines, in some cases the computer correct automatically the errors during the data entry. In processing the survey data on goods, the survey manager calculates for each undertaking the load index and the distance index and compare them over time; it is necessary to assess the changes in the transport service performance of each undertaking and register if it may have transported full loaded train and/or implemented long or short distance journeys. If the indexes are within the range, data are submit to other checks for ex the type of goods transported and then it can start the procedure to aggregate data. |
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18.6. Adjustment | |||
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No comment to report. |
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