Abstract

Google is a tool for retrieving high-value information, but its growing adaptation of search results to commercial criteria, based on an alleged adaptation to user preferences of the links offered, presents some problems. Now it is neccessary to filter the information, to use operators or to modify the queries in order to obtain the desired results. Some tips are offered for information professionals who want to rebel against the false concept of relevance and find what we’re looking for.

Abstract

[EN] Today, smart cities are presented as a solution to achieve a more sustainable urban development while increasing the quality of life of its citizens through the use of new technologies (Neirotti, 2013). Smart Mobility is based on innovative and sustainable ways to provide transport for the inhabitants of cities, enhancing the use of fuels or vehicle propulsion systems that respect the environment, supported by technological tools and a proactive behaviour of citizenship (Neirotti, 2013). In urban mobility, the purpose of the Smart Cities is to develop flexible systems for real-time information to support decisionmaking in the use and management of different transport modes, generating a positive impact, saving users time and improving efficiency and quality of service. In this context, several solution types are being introduced in the world’s cities. They enable the improvement of the abovementioned factors acting on the demand side resulting in more efficient journeys for individual travelers, and improved satisfaction with the service. (Skelley et Al., 2013) with a lower level of investment than that of infrastructure deployment or an increase in the level of service. One of the most extended solutions is the use of mobile apps for providing the user with contextualized -static and real time- transport information. The study is based on a survey carried out among users of public transport in Madrid under the European OPTICITES project of the 7th Research Framework Programme. The survey contained items on their transportation habits, their level of skills and technological capabilities, and their main expectations about the possibility of using a new application, the main desired capabilities and willingness to pay for use. The study results show the preferences of users of public transport capacity, static, real-time search and in-app services for a multimodal real-time application and willingness to pay for this service, all analyzed by different Slicers users. The results also establish the basis for an estimate of the usefulness of these applications for users of public transport. Velázquez Romera, G.; Monzón, A. (2016). PUBLIC TRANSPORT USERS' PREFERENCES AND WILLINGNESS TO PAY FOR A PUBLIC TRANSPORTATION MOBILE APP IN MADRID. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 2248-2266. https://doi.org/10.4995/CIT2016.2015.3498 OCS 2248 2266

Abstract

International audience; Shared autonomous vehicles are considered to have a transformative impact on future urban transportation and especially Shared Mobility. In order to assess the transport-related impact of this new mode, various models and simulations are under development. The majority of recently proposed simulations are based on activity-based multi-agent approaches. Thanks to the disaggregated level of data in multi-agent simulation, the traveler decision making mechanisms might be individualized according the attributes. In this paper we try to take in advantage of this granularity in order to explore the impact of user preferences on the modal split of shared autonomous vehicles. To illustrate the proposed methodology the transport system of Paris is simulated by using an activity-based multi-agent tool called MATSim. The traveler preferences toward shared autonomous vehicles use are also summarized based on the literature review. Document type: Conference object