Road freight transport measurement (road_go)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: SURS (Statistical Office of the Republic of Slovenia)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

SURS (Statistical Office of the Republic of Slovenia)

1.2. Contact organisation unit

Transport, tourism and information society statistics section

1.5. Contact mail address


2. Metadata update Top
2.1. Metadata last certified 29/06/2023
2.2. Metadata last posted 29/06/2023
2.3. Metadata last update 29/06/2023


3. Statistical presentation Top
3.1. Data description

Road freight data collection consists of three datasets with quarterly periodicity:
1. Vehicle related variables dataset for a sample of road good motor vehicles contains, among others, indication about the type and age of the vehicle, the economic activity of the owner of the vehicle, the total kilometres loaded or empty.
2. Journey related variables dataset which contains, among others indications about weight of goods, regions of loading and unloading, distance driven, and tonne-kilometres performed during a journey.
3. Goods related variables dataset which contains among others the type of goods transported and their weight and distance travelled, regions of loading and unloading.

3.2. Classification system

Statistics on carriage of goods by road apply the following statistical classifications:

The optional variable type of cargo follows the Classification of Cargo Types of UNECE (United Nations, Economic Commission for Europe - codes for types of cargo, packages and packaging materials, Recommendation 21 adopted by the Working Party on Facilitation of International Trade Procedures, Geneva, March 1986).

3.3. Coverage - sector

Commercial road freight transport (National Classification of Activities), referred to as "Hire or reward" road freight transport. Road freight transport by private vehicles and by vehicles owned by companies classified in other classes. This kind of transport is identified as "own account" road freight in order to satisfy production or service needs within the framework of business activities. 

3.4. Statistical concepts and definitions

The main concepts used in Road freight statistics are the following, more details can be found in the Road freight transport methodology manual

A goods road motor vehicle is any single road transport vehicle (lorry), or combination of road vehicles, namely road train (lorry with trailer) or articulated vehicle (road tractor with semi-trailer), designed to carry goods
Cross-trade is international road transport between two different countries performed by a road motor vehicle registered in a third country.
National transport is Road transport between two places (a place of loading and a place of unloading) located in the same country by a vehicle registered in that country. 
International transport is Road transport between two places (a place of loading and a place of unloading) in two different countries and cabotage by road. It may involve transit through one or more additional country or countries.
Cross trade is International road transport between two different countries performed by a road motor vehicle registered in a third country.
Transit is any loaded or empty road motor vehicle, which enters and leaves a country at different points by whatever means of transport, provided the total journey within the country is by road and that there is no loading or unloading in the country.
Goods carried by road are any goods moved by goods vehicle
Place of loading/unloading of a goods road vehicle on another mode of transport

  • Place of loading (of the goods road transport vehicle on another mode of transport): The place of loading is the first place where the goods road motor vehicle was loaded on to another mode of transport (usually a ship or a rail wagon).
  • Place of unloading (of the goods road transport vehicle from another mode of transport): The place of unloading is the last place where the goods road motor vehicle was unloaded from another mode of transport (usually a ship or a rail wagon).
3.5. Statistical unit

The observation unit for road freight transport statistics is a goods road transport vehicle and its reporting unit is the local unit (a company, as identified in the national business register).

3.6. Statistical population

As the total number of statistical units (most commonly vehicles) is very large, sample surveys are carried out to collect information.  

3.7. Reference area

The data provided are goods vehicles registered in the declaring country uniquely, reporting national and international journeys (EU, non-EU).

3.8. Coverage - Time

Data are available in time series since 2001 onwards.

3.9. Base period

Not applicable.


4. Unit of measure Top

Data are collected in tonnes, tonne-kilometres, vehicle-kilometres and in number of journeys (journey data) or in number of basic transport operations (BTO - goods related data).


5. Reference Period Top

The road data are collected on a quarterly basis and are reported to Eurostat five months after the end of the reference period.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

National level:

European level: 

6.2. Institutional Mandate - data sharing

National level :

 

From Eurostat :

Eurostat submits annually semi-aggregated data (data exchange tables, see Commission Regulation (EU) No 202/2010 amending the Commission Regulation (EC) 6/2003) back to the reporting countries so that they can compile the total road freight transport on their national territories, including the operations by national hauliers and also those of all other reporting countries.

These data exchange tables include more detailed breakdowns than the publicaly available tables. They also include, for each value, the information on the number of observations that the estimates are based on. In this way, the reporting countries can estimate the reliability of results that they aggregate from the data exchange tables.


7. Confidentiality Top
7.1. Confidentiality - policy

National level:

 

European level:

  • Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
7.2. Confidentiality - data treatment

All SURS employees are obliged to protect the content of personal and individual data and data on reporting units which they learn during their work as official secrecy. All employees sign a statement of data protection and thus confirm that they are informed about the issue. The obligation to protect the official secrecy continues after the termination of employment.

In line with the National Statistics Act (ZDSta) the statistical purpose is providing and disseminating aggregate data on mass phenomena. The ZDSta also stipulates that the data can be used exclusively for statistical purposes, i.e. for disseminating aggregate data, unless otherwise provided by law. On the basis of an application written by a user, individual data can be transmitted, but only in the form and way which does not enable the identification of the unit to which the data refer. The data that enable the identification of the unit to which they refer can only be transmitted to those units to which the data refer or if these units sent the data.

SURS can publish the data only in aggregate form, so that it is not possible to identify the unit to which the data refer. The data must be available in the same way (at the same time and under the same conditions) to all users. Only exceptionally can SURS publish individual data: upon written consent of the reporting unit to which the data refer that they agree with the publication of data in such a way or if the data are collected from public (generally accessible) data collections (records, registers, databases, etc.). More information about statistical confidentiality and on personal data protection is available at the SURS' website.


8. Release policy Top
8.1. Release calendar

SURS provides the data users with annual data release calendar available online at https://www.stat.si/StatWeb/en/ReleaseCal?idp=22

8.2. Release calendar access

https://www.stat.si/StatWeb/en/ReleaseCal?idp=22

8.3. Release policy - user access

Data are dissaminated with first press release via official website and detailed data in the SiStat database (quarterly). Data are relased to the public - all users at the same time.


9. Frequency of dissemination Top

Data are disseminated quarterly (each quarter) and once a year an annual release.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

There are four regular quarterly news releases (first release) on the SURS website linked to the data in the SiStat database.

10.2. Dissemination format - Publications

Some of the data are disseminated in an annual publication Stat'o'book – Statistical Overview of Slovenia.

10.3. Dissemination format - online database

The on-line database (SiStat) in transport domain (road goods transport) covers 17 agregated tables with quarterly and annual data from 2001 onwards.

10.4. Dissemination format - microdata access

Interested data users (mostly researches) can apply for access to microdata, either in the data safe room on the premises or via granted safe access online. All personal identification data are removed prior to given access to micro data.

10.5. Dissemination format - other

No other publication.

10.6. Documentation on methodology

National characteristics of surveys, conducted in the reporting countries in 2019, were published in Methodologies used in surveys of road freight transport in Member States, EFTA and Candidate Countries (2021 edition). This latter publication also contains data on response rates, vehicle registers' quality, sampling rates and statistical errors in surveys carried out in 2018 and 2019.

National methodological explanantions are available on the official website.

10.7. Quality management - documentation

The Statistical Office of the Republic of Slovenia operates on the basis of the National Statistics Act and Regulation (EC) No. 223/2009 on European statistics; in performing its tasks it follows the general principles of quality management, the European Statistics Code of Practice and the Fundamental Principles of Official Statistics. 

More information is available on the SURS website under Quality in national statistics https://www.stat.si/statweb/en/FundamentalPrinciples/QualityInStat


11. Quality management Top
11.1. Quality assurance

The Statistical Office of the Republic of Slovenia (SURS) operates on the basis of the National Statistics Act and Regulation (EC) No. 223/2009 on European statistics. In performing its tasks it follows the general principles of quality management, the European Statistics Code of practice and Quality Assurance Framework of the European Statistical  System. Also taking into account the following principles: professional independence, process orientation, quality of products and services, planning of improvements, stimulating working environment for employees, data providers-friendly official statistics, user-oriented official statistics. The principles in more detail are presented in the Quality Statement of the Statistical Office of the Republic of Slovenia.

 
In the framework of Statistical Office of the Republic of Slovenia quality approach, Statistical Office has introduced standard quality reports (standard-documentation) to be produced and kept up-to-date for all statistics. The reports are based on the ESS definition of quality in statistics and follow the European standard quality report and provide users with information about the underlying concepts, definitions, methods used and the quality of the statistics (meta-information) in a standardised format.
11.2. Quality management - assessment
To assure a high response rate, SURS emphasises the importance of filling out the questionnaire with a information letter, also sending out two remainders.
 
A set of validation rules and quality checks are put in place, which detect various types of issues. In case of any issues detected, the data providers are contacted to provide explanations or/and revise the data accordingly. 
 
Standard methods and definitions of quality (standard error, response rate, quality of vehicle register) are used in the survey. 
 
In 2023/2024 there is a plan to improve the data reporting on intermodal road transport (TEU units) by providing more datailed information for respondents and possibly ataching a detailed intermodal data collection sheet to the regular questionnaire. 


12. Relevance Top
12.1. Relevance - User Needs

The main users are journalists, students, and for microdata analyses researches from Universities and science institutes.

12.2. Relevance - User Satisfaction

No special user satisfaction data are collected.

12.3. Completeness

The data collection on road transport statistics follows the provisions of Regulation 70/2012. All variables are provided, also the voluntary ones.


13. Accuracy Top
13.1. Accuracy - overall

Overall accuracy of the road transport statistics data is good. The processing with plausibility checks as well as checks done before transmitting data to Eurostat provides a high accuracy of the data providing comparable, regular, coordinated, reliable and complete information on road freight transport.

The accuracy requirements concerning the percentage standard deviation are set at not higher than +/- 5% (reliability interval 95%).

For Slovenia, these requirements have always been fulfilled.

13.2. Sampling error

Datails on sampling are covered in domain 18.3

13.3. Non-sampling error

The road freight transport statistics is a statistical survey where data providers (source) are the owners and users of the (selected) vehicles. The respondents are also motivated via telephone to provide high quality data on time.

 
Unit non-response is the failure of a survey to collect data on all survey variables from all the population units in a sample, including non-response, late response or refusal. Non-response weights are adapted.
 
During the processing stage, incorrect use of planned methods of processing may occur, especially concerning the coding of response data provided in free text format. Visual check and comparison with other data sources may help to minimise errors.


14. Timeliness and punctuality Top
14.1. Timeliness

Data are normally updated once per quarter.

If new annual data (all four quarters of a calendar year) have become available, the annual datasets are also updated together with the quarterly datasets.

14.2. Punctuality

Road freight data are transmitted to Eurostat within 5 months after the end of the reference period, as specified in the Regulation (EU) 70//2012.


15. Coherence and comparability Top
15.1. Comparability - geographical

All data are comparable between countries and regions.

15.2. Comparability - over time

Comparable time series are compiled and disseminated since 2001.

15.3. Coherence - cross domain

Road freight transport statistics data are difficult to compare with statistics of other transport modes or statistical domains due to the nationality principle used for road freight transport statistics and the territory principle used for the other transport modes. Also there is a difference by using a sampling method vs. a full survey.

15.4. Coherence - internal

All statistics are coherent within the three datasets.


16. Cost and Burden Top
The response burden is put on the units chosen to report for their vehicles (vehicle based survey), whereas they do not have to report for all their vehicles (teritorial and enterprise sample). In the sample survey there are about 8,300 vehicles per year, reporting time for required information is not recorded.
 
Throughout the implementation of the survey, SURS pays attention to the costs of the survey and maintaining the quality of the data.


17. Data revision Top
17.1. Data revision - policy

Data are final with quarterly release. Regular revisions are not planned.

 
Deadline for the publication of quarterly results of road freight data is 105 days following the end of the quarter.

 

17.2. Data revision - practice

Regular revisions are not planned for the road freight transport statistics.


18. Statistical processing Top
18.1. Source data

Sampling register used for the survey

Name of register:

Central Register of Vehicles and Traffic Documents

Name of organisation who maintains the register:

Ministry of Infrastructure

Frequency of update:

Monthly

Frequency of access to draw the samples:

Quarterly

Arrangements for accessing the register:

Bilateral institutional agreement by the Statistical Office of the Republic of Slovenia and the Ministry of Infrastructure and Spatial Planning.

The replication of the statistical version of the Central Register of Vehicles and Traffic Documents at the Ministry of Infrastructure and Spatial Planning is made on the last day of every month.

Before each quarterly sampling, the Central Register of Vehicles and Traffic Documents is matched with the Business Register of Slovenia to obtain information on activity and address for owners and users of vehicle.

Information obtained from the register:

Central Register of Vehicles and Traffic Documents: identification of the owner/user, type of owner, registration number, type of vehicle, type of body, unladen weight, maximum permissible laden weight, year of manufacture, number of axles, date of first registration, date of first registration in Slovenia, type of fuel used.

Used in stratification:

  • type of owner
  • unladen weight
  • maximum permissible laden weight

Business Register: main activity of the operator, name of the owner/user, address of the owner/user.

Procedure for reminders:

First reminder – two weeks following the observation period

Second reminder - four weeks following the observation period

18.2. Frequency of data collection

Data collection is carried out quarterly (Q1-Q4).

18.3. Data collection

Sampling methodology

Statistical unit:

Tractive vehicle

Types of units excluded:

Agricultural vehicles, military vehicles, public service vehicles, special purpose vehicles and vehicles

belonging to users that could not be matched with the business register.

Vehicles with load capacity below 2 tonnes.

Time unit:

One week

Time units of quarter 1 of 2022 included in the survey:

All (13 weeks)

Stratification:

Strata were defined with the type of ownership (2 classes: legal entities, natural persons) and loading capacity (4 classes: 2.00 - 4.99, 5.00 - 9.99, 10.00 and more tonnes, road tractors). The allocation of units among the strata is proportional with slight corrections due to fact that the sample size in each stratum should be divisible by 13 (weeks in a quarter).

Recording of weight of goods:

Gross weight of goods is collected; containers and swap bodies are excluded, but pallets might be included.

Recording of journey data sent to Eurostat:

Single stop: In case of more than one type of goods in the same journey, the main type of goods carried is used for the classification of goods. However, total weight of all goods is recorded.

Multi stop: In case of more than one type of goods in the same journey, the main type of goods carried is used for the classification of goods. However, total weight of all goods is recorded. Dataset A3 is set up with the assumption that goods loaded first are unloaded first (FIFO).

Collection/delivery: In case of more than one type of goods in the same journey, the main type of goods carried is used for the classification of goods. However, total weight of all goods is recorded.

Origin is the first place of loading or the first place from where the empty vehicle is set out to pick up goods. Destination is the furthest town in a circular journey. Empty kilometres are not recorded in A3 or A2; however, they are included in A1_8_2. In case of collection/delivery in international journey, type 2 or simplified type 1 journey is used.

Tonne-kilometres for type 3 journeys are calculated as follows:

n             stops number

DL          distance travelled loaded

WL         weight of goods loaded

WC        weight of goods collected

Other variables: In case of usage of more than one trailer in the surveyed week, only information on the trailer used in majority of cases is collected.

Calculation of weighting factors:

Weights for each stratum are calculated as follows.

Weights due to non-response:

Weights due to sample selection:

Eligible units are units that respond to the questionnaire regardless of the activity of the vehicle (also inactive: no work, holiday, etc..)..

Ineligible units are units beyond the target population that were included in the sample. These include cases were the capacity of the vehicle was below 2 tonnes or the vehicle was temporarily or permanently withdrawn from the Register.

Vehicles with unknown addresses and other mistakes in the register, sold, leased or subcontracted vehicles and vehicles whose respondents refused to answer or dispatched unusable questionnaires are treated as non-response.

Additional (optional) variables collected compared to the legal requirements:

Environmental impact related variables:

Type of fuel used, and quantity of fuel purchased.

A1. Vehicle-related variables:

  • possibility of using vehicles for combined transport (NO)
  • vehicle operator’s NACE Rev. 2 at class level (four-digit level) (YES)
  • vehicle empty kilometres (YES)

A2. Journey-related variables:

  • axle configuration according to the nomenclature defined in the Regulation on road transport statistics (YES)
  • place of loading, if any, of the road transport vehicle on another means of transport (NO)
  • place of unloading, if any, of the road transport vehicle from another means of transport (NO)
  • Degree of loading: situation ‘fully loaded’ (procedure 2) or ‘not fully loaded’ (procedure 1) of the goods road transport vehicle during the journey in question, in terms of maximum volume of space used during the journey (procedure 0 = by convention for unladen journeys) (YES)

A3. Goods-related variables:

  • type of freight (Cargo types) as defined in the Regulation (YES

 

18.4. Data validation

National level :

                

From Eurostat :

Since 1999, micro-data from the reporting countries have to be submitted according to Commission Regulation 2163/2001. The data are then checked and validated by EUROSTAT (verification of many different codes used (NUTS 3, numeric or alphabetic variables) correctness of linked questionnaires in the different dataset, etc…). Detected errors are then reported back to the data sender with the request for correction, this is an iterative process until at least 99.5% of all data records are validated and loaded in the database.

18.5. Data compilation

Data compilation process includes data editing, weighting and adjustment for non-response.

18.6. Adjustment

National road freight data are not seasonally adjusted.


19. Comment Top

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