DATELINE: Macro Results and O/D Matrices

DATELINE: Macro Results and O/D Matrices


P Davidson, Peter Davidson Consultancy, UK; F Gomes, F Santos, TIS-PT, PT



The Common Transport Policy is confronted with challenges, including the Single Market, regulatory changes in air, water and land transport, environmental issues, safety issues and user requirements. These challenges require a pan-European, integrated multi-modal database for planning and policy decision-making. As part of the Fifth Framework Programme which itself is subordinate to the Competitive and Sustainable Growth Programme funded by the European Commission (EC), DATELINE (Design and Application of a Travel Survey for European Long-Distance Trips Based on an International Network of Expertise) is concerned with European long-distance travel behaviour.

The four objectives of the DATELINE project are to:

* Develop a total survey design for long-distance passenger travel to be applied in all Member States of the European Union.
* Implement these surveys in all Member States of the EU.
* Create a valid database to give answers to planning related questions and to provide an input for respective analysis.
* Integrate this database in both a national context and in the EUROSTAT Statistical Programme.

The DATELINE project presents concepts, methods and opportunities for implementing a European travel survey of long-distance mobility in all 15-member states of the European Union and Switzerland, based on an international network. In order to ensure the application of the survey design in each Member State, it had to be flexible since it had to include the specific characteristics and conditions of each country. This survey lasting for a period of twelve consecutive months provided the necessary information about long-distance journeys for subsequent analysis and determination of mobility patterns.

This paper is about the project analysis of results. For information on Concept and Methodology and Weighting and Projection, two separate papers have been produced, which, on official approval, will also be available at this Conference.

In terms of result analysis, it was possible to identify two different but complementary dimen-sions of analysis. Therefore the final database can be used for analysing long-distance mobil-ity providing a set of quantitative results (mobility indicators), and it can be used for the analysis of origin/destination relationships (O/D Matrices).

In a first approach, this paper presents a set of basic mobility indicators that not only describe the travel behaviour in each country and in the European Union, but also allow the comparison of values between European countries and between the European average. The most important indicators that will be presented are mainly concerned with:

* Structure of Population presented as a brief characterisation performed by number of per-sons per HH, distribution of population by age, gender, employment status.
* Vehicle Ownership characterising the current motorization situation in the different coun-tries.
* Participation and number of journeys, indicating the shares of persons with or without long-distance journeys, the average number of long distance journeys per person and type of traveller (gender / age). This analysis allows a comparison and evaluation of the capacity that the inhabitants of each country have to make long-distance journeys.
* Journey purpose and journey distance, giving an explanation about the reasons for travelling and how far people go. Two different analyses per country are possible: first, average dis-tance, which is a direct result of the distances of journeys, and second, shares of journeys per interval of distances. This last type of analysis implies the definition of range of interval of distances.
* Journeys made throughout the year identifies preferred months for travel.
* Journey dimension in which travelling group sizes in the different countries are looked at.
* Modes of transport used for long distance travel, whose shares identifies the dominant transport mode used for travelling in each country and evaluates the use of each mode of transport in each surveyed country for long-distance journey.
* Duration or number of overnight stays analysing the average number of nights per type of journey for each country.
* Complexity of long-distance journeys, analysing and combining the number of trips, stops and excursions which indicate the complexity of journey chains.
* Geographical Analyses, identifying the main flows of journeys per type of destination. Journey destinations are classified in three different categories: Inside Country, Outside Country, inside Europe (15 countries + Switzerland), Outside Europe.

After the definition and presentation of this set of simple mobility indicators, some cross analy-ses, at the European level, will complete the characterisation of mobility patterns.

O/D Matrices will be built, using the origins and destinations and trips, modes and purposes of journeys at NUTS1 level using a methodology developed during the MYSTIC project for the EC?s 4th Framework Programme. This uses the concept of a variance estimate as an objective measure of the level of precision achieved in an o/d matrix cell. The MYSTIC project collected the main long-distance o/d datasets which exist in Europe and the DATELINE matrix will be merged with this data to improve on the level of precision for certain matrix cells. Finally mod-elling will be used to improve the matrix still further. NUTS1 matrices will be delivered by mode so that comparisons can be made about the origin-destination pattern of long-distance European travel be mode. The paper will describe the methodology adopted together with the results.


Association for European Transport