Tânia Daniela Fontes

Tânia Fontes is a researcher at INESC TEC and is financed by National Funds through the FCT - Portuguese Foundation for Science and Technology (10.54499/2022.07805.CEECIND/CP1740/CT0001). Her area of expertise is urban mobility, people and cargo, focusing in particular on the assessment of the environmental impacts. Her research interests include the areas of transport policy assessment and the use of data science to support the design of decision support systems. Tânia has led several research projects in the area of passenger and cargo mobility, particularly in urban spaces (e-LOG and opti-MOVES). Besides these, she has actively collaborated on other research projects (eg Seamless Mobility, SmartDecision, CIVITAS-ELAN), consultancy projects (e.g. CIM-TS, VoxPop), and Cost actions (eg ARTS, TEA, TRANSITS). In 2016, she spent 6 months in Beijing to study the impacts of transport policies on the city's air quality. She regularly publishes in journals in the field of transport and environment. Tânia holds a PhD in Sciences Applied to the Environment from the University of Aveiro (2010). She also has a degree in Computer Engineering (ISEP, 2007) and Environmental Engineering (UFP, 2001).

Domains

Enterprise Systems Engineering Artificial Intelligence Power and Energy Systems Systems Engineering and Management

Projects

opti-MOVES

The project combined diagnosis and optimization methods to improve the quality of urban public transport, particularly intermodal transport services. The system aims to support decisionmaking of mobility operators and authorities, in planning, monitoring and optimizing intermodal operations and in the definition of urban policies. Positive impacts are expected, with an increase of public transport utilization, and a reduction of energy costs and pollutant emissions.

Quality management of intermodal public transport services: diagnosis and optimization

eLOG

The primary objective of the e-LOG project is to create a methodology to assess the environmental impacts of different retail strategies, taking into consideration the origin, mode of transport and the destination of products. The research will be focused on transport in a strict sense. The estimates will be done for the transport of goods from manufacturer to customer, taking into account the different emissions levels for domestic and international transport, including the reverse transport for returns. The different phases of the transport chain will be considered in order to identify and assess the most critical parts of the chain in terms of their adverse effects on emissions. The research plan is structured around three main steps: (a) analysis of the transport needs and operational rules of distinct business models and retail strategies (from the goods leaving the manufacturer to they reach the final customer), and current policies and strategies used in the delivery services defined by national and local regulators; (b) estimative of the levels of air emissions of goods purchased by EU consumers in traditional brick-and-mortar retail or from domestic, cross-border and online marketplaces (such as Amazon); and (c) develop a quantitative and qualitative exploratory analysis of the environmental effect that includes all the phases of the distribution of the goods. The e-LOG project includes: (a) identification of data sources in order to gather primary and secondary data; (b) data collection and integration; (c) qualitative and quantitative analysis of existing data namely by using knowledge discovery techniques; (d) desk research for the analysis of existing documents; (e) exploratory techniques of analysis using in-depth interviews and short, semi-standardized questionnaires; and (f) definition of a set of case studies and scenarios for high-level exploratory assessment of the impact of different business models and operational rules.

View all projects

Publications

Leveraging Social Media as a Source of Mobility Intelligence: An NLP-Based Approach

Fontes, T;Murcos, F;Carneiro, E;Ribeiro, J;Rossetti, RJF;

2023

IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS

Population exposure to urban highway traffic emissions

Barros, N;Fontes, T;Bras, C;Cunha, LM;

2005

Environmental Health Risk III

Integrated computational methods for traffic emissions route assessment

Gazis, A;Fontes, T;Bandeira, J;Pereira, S;Coelho, MC;

2012

IWCTS 2012 - 5th ACM SIGSPATIAL International Workshop on Computational Transportation Science

Spatio-temporal prediction of atmospheric benzene (Part I)

Fontes, T;Barros, N;

2012

ENVIRONMENTAL MONITORING AND ASSESSMENT

View all publications

Centres

Enterprise Systems Engineering

The research carried out at the Centre for Enterprise Systems Engineering (CESE) has a direct impact on industrial transformation, developing sustainable, resilient, and human-centred solutions to address the challenges of the digital and green transitions. Through a co-creation and development approach with scientific and industrial partners, CESE contributes to improve organisational capabilities and driving systemic innovation in complex industrial contexts. As a multidisciplinary research centre, CESE bridges science and practice in the field of Systems Engineering, focusing on value creation within industrial ecosystems. This mission is structured around five research lines that define CESE scientific and technological expertise: Manufacturing Systems Design and Management, Supply Chain and Collaborative Networks Management, Architectures and Industrial Information Systems, Technology Management in Industry, Transportation and Logistics.