About the lab
The Traffic, Transportation and Logistics Laboratory (TTLog) (FEK 1203/B/23-06-2016) is a renaming of the Transport Engineering Laboratory, which was founded in 2005 and belongs to the Civil Engineering Department of the University of Thessaly. TTLog aims at the enforcement of the educational and research activities and the encouraging of close cooperation with other laboratories and research institutes.
Featured research (10)
As the world becomes more urbanized, there is a strong need for urban public transport to provide sustainable alternative solutions against private-vehicle usage. However, the opportunities for seamless journeys through public transport are still limited and the need for properly designed and operated transport interchanges is vital. The present paper investigates the perceptions and the users' level of satisfaction when using the New Railway Station of Thessaloniki in Greece and the Riga International Coach Terminal in Latvia, in terms of services provision and station's operation. In total, 36 indicators were tested, grouped in eight quality factors, namely travel information, wayfinding information, time and movement, access, comfort and convenience, station attractiveness, safety and security and emergency situation handling. Attitudinal surveys were implemented to determine key performance factors that affect travelers' satisfaction when using the two terminals. Data were collected through on-line questionnaires and were elaborated through descriptive and inferential statistics, including Mann-Whitney two-sample U-testing to assess differences between the samples in variables measured on a 5-point Likert scale, Spearman bivariate correlations to measure the strength of association between the quality indicators and multiple regression analyses to examine the effect of selected attributes on the general satisfaction level of travelers. Results showed that both interchanges perform better in physical quality attributes, like access, travel and wayfinding information provision, but they do not satisfy users' aesthetics expectations in the internal and external area of the interchanges and the surrounding area and they do not cover adequately their feeling of security and safety in the transfer or waiting areas. These results highlighted the users' preferences and concerns which contribute into a satisfactory overall design of the interchanges. In a nutshell, transport interchange design should satisfy both providing a hub for seamless mobility, but also integrating the station as a part of the public realm.
Social media are deemed influential in making decisions and seeking advice. Due to their explosive growth as critical channels for information, their content can trigger a place visit, a change of transport mode or destination, or plans’ cancellation. The main objective of this paper is to investigate the influence of social media on users’ activity and mobility planning. Responses of 738 participants in a digital survey were used to formulate ordinal regression models. The developed models determine the contribution of users’ demographic characteristics, travel characteristics and social media usage to mobility decisions after using social media as a source of information. These decisions were expressed in two dependent variables; (i) the impact of social media use in activity and mobility planning; (ii) the impact of the proposed transport mode by social media information, on mode choice. Analysis of the results indicated that the models, which considered all the characteristics together, could better predict the two variables.
The assessment of smart logistics solutions performance is a complex process that takes into consideration the solution type, the stakeholders’ engagement level, and the cities’ particularities and objectives. It is performed taking into account specific evaluation criteria and indicators. This study aims to introduce a holistic sustainability-based framework for the assessment of logistics solutions based on Life Cycle Sustainability Analysis (LCSA) and multi stakeholder multi criteria decision making concept by considering four sustainability disciplines (economy, environment, mobility and society) and three enablers (solution maturity, user acceptance and user uptake). The followed process builds on data transparency and stakeholder communication, and enables decision making through aggregation of the analysis results. Evalog, an open platform, has been developed based on the framework concepts and is implemented to assess and cross-compare city logistics solutions that have been selected by twelve European city cases. The output of Evalog is the integration of all indicators in the Logistics Sustainability Index (LSI), which depicts the solution’s impact per stakeholder category and the Global LSI (GLSI), which represents the overall impact at city level. Results showed that an average improvement of 24.5% may be achieved in all criteria and city cases owing to the logistics solution.
Before implementing an Urban Freight Transport (UFT) solution, certainty is required about the effectiveness of the considered alternatives. Selecting an effective solution necessitates the engagement of all stakeholders involved in the management of the UFT system. The aim of the study is the formulation of a common assessment platform for facilitating the selection of the most appropriate UFT solution, taking into account the solutions' effectiveness and the stakeholder perceptions and consensus. Solution maturity, social acceptance, and user uptake, which are considered as the main drivers of stakeholders' engagement, are evaluated based on a real time Delphi survey, in parallel with solutions' sustainability dimensions (economy and energy, environment, society, transport, and mobility). The Delphi method emerges as a suitable tool in this direction as stakeholders' subjective judgments, and not analytical techniques, are required. The platform is demonstrated through the assessment of ten UFT solutions by 184 stakeholders (public authorities, supply chain operators, and other interested groups) who reside in cities across the world. The results of the demonstration showed that Intelligent Transportation Systems (ITS) for freight monitoring and electric vehicles are the highest rated solutions, while drone deliveries are the lowest, reaching respectively the highest and lowest consensus levels.
Additive manufacturing is an emerging technology that is gaining more ground in various production areas, like medicine, industrial production, and consumer product printing. Aim of this paper is to analyze the applications of this technology on supply chains, investigate how it affects the structure and characteristics of the traditional supply chain, and finally, develop a business model for its optimal use, through the case study of the LEAP-1A jet engine fuel nozzle supply chain. This was achieved in three steps. First, current literature was reviewed, to fully understand the technology, its applications and the production processes it affects. Second, three different supply chain scenarios, i.e. conventional supply chain, centralized 3D printing and decentralized 3D printing were developed and elaborated, so as to allow the easier identification of the differences of the supply chain processes among the scenarios. To select the most effective scenario, an online survey with the participation of experts was conducted, to attribute weights to indicators identified through the literature review. Finally, a business model for the chosen scenario was developed using the Business Model Canvas. The analysis and evaluation of the indicators revealed that the most effective supply chain model is a decentralized additive manufacturing model. Based on the overall results it can be concluded that additive manufacturing simplifies the supply chain, increases flexibility in design and production and reduces transport and logistics costs.