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Road freight transport measurement (road_go)

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National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Kosovo Agency of Statistics

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The statistics are compiled and transmitted for the 4th quarter 2018 to Eurostat. The data collection follows the provisions of the following legal acts:

EU: Regulation (EC) No 70/2012 of the European Parliament and of the Council of 18 January 2012 on statistical returns in respect of the carriage of goods by road (recast).

Road freight data collection consists of three datasets with quarterly periodicity:
1. Vehicle related variables dataset for a sample of road good motor vehicles contain data on age of the vehicle, the economic activity of the owner or user of the vehicle, the total kilometres loaded or empty, possibility of using vehicle for combined transport, axle configuration, maximum permissible laden weight, load capacity.
2. Journey related variables dataset contain data on type of journey, weight of goods, place of loading and place of unloading, distance travelled, tonne-kilometres performed during a journey, countries crossed in transit, place of loading/unloading on other means of transport, degree of loading.
3. Goods related variables dataset contain data on type of goods transported and their weight and distance travelled, place of loading and place of unloading, type of dangerous goods.

21 September 2020

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).

The reporting unit for road freight transport statistics is the goods road transport vehicle (including road tractors) or the local unit (a site of a company and natural person)

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

The data provided are goods vehicles registered in the Republic of Kosovo

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

Survey on Road Freight Transport is conducted on a sample basis. The percentage standard error of the annual total and national transport estimates is 5%

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)).

After various plausibility checks, the data received from owner or user of vehicles are compiled into quarterly data following the structure of the data sets which are present by regulation (EC) 70/2012. Data are aggregated on country level.

Sampling register used for the survey referring to the 4th quarter 2018 

Name of register: 

Vehicle register

Name of organisation who maintains the register: 

Ministry of internal affairs

Frequency of update: 

Continuously

Frequency of access to draw the samples: 

Once a quarter

Arrangements for accessing the register: 

Once a quarter

Information obtained from the register: 

registration mark, type of vehicle, body type, main use of vehicle, mark of vehicle, first registration, load capacity, maximum permissible weight, name and address of owner of vehicle, number of axles.

Procedure for reminders:

Referring  to the 4th 2018 , we have been collecting data via paper

First reminder sent 5 days after the end of reference period.

Second reminder for paper sent 10 days after the end of reference period, questionnaire and instructions are sent again with paper reminder.

Phone reminder paper questionnaire: 18 days after the end of reference period non-respondents are reminded by phone.

KAS publish regular press releases linked to the data every quarter.

 

KAS publish the publication with data on road transport (number of vehicles, length of roads ), railway transport, air transport in quarterly basis . For more details:

https://ask.rks-gov.net/media/5566/transport-and-telecommunications-statistics-q2-2020.pdf

 

 Road freight transport statistics are not published yet, they were sent to Eurostat five months after the reference quarter. (Referring the 4th quarter of 2018).

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.

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