NEW METHODS FOR PRO-ECOLOGICAL TRAVEL BEHAVIOR LEARNING
Changes of transport systems directed towards reducing emissions of harmful substances and noise, and thus develop more environmentally friendly solutions, particularly in relation to urban areas cannot be limited only to the 'hard' activities (infrastructural changes). Behavior of traveling persons is a very significant element of the proper shaping of the future transport systems. That is why it is important to appropriate education and wider understanding of the problem by traveling persons.
Can be distinguished many forms of education, but researches shows that habit, as well as strong conviction of the rightness of the activities is achieved fastest by frequent repetition the person specified behavior. In this sense, education takes on a new dimension able to use everyday solutions that facilitate life (existence).
With regard to transport extremely important is the information flows between transport system and its users. This flow should ensure proper identification of needs people traveling, as well as support persons traveling in decisions about the route and method of travel. The user of the transport system by making choices in regards to travel determines among others mean of transport (or several means of transport in multimodal travelling), route, time of departure and also the source and destination points. Support for the above choices is implemented by numerous and increasingly widespread travel planners.
The article presents the use of travel planner to educate in the direction of environmentally friendly travel behavior. As a practical example was used planer built under the ERANET Green Travelling (GT) project. The planner beyond basic functions was aimed at promoting environmentally friendly solutions, such as bicycles, electric cars, public transport. The travel planner is testing in various EU areas (Biscay – Basque Country, part of Silesian Voivodeship – Poland, Çankaya, Ankara - Turkey). The algorithms implemented in the planner also allow determination of optimal routes not only for the criterion of time and distance, but also emissions and cost. In addition, in each case, the application after displaying the search results list of routes advises to choose the most ecological solution among those defined by the user. Such an approach, in case of frequent use, lets allows to increased awareness on pro-environmental travel behaviors and convictions to use them just as is the case with eco driving. This can help to speed up changes in modal split of traffic in direction to more sustainable transport systems.
The present research has been financed from the means of the National Centre for Research and Development as a part of the international project within the scope of ERA-NET Transport III Future Travelling Programme “A platform to analyze and foster the use of Green Travelling options (GREEN_TRAVELLING)”.