TY - GEN
T1 - Towards Accessible, Sustainable and Healthy Mobility
T2 - 10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
AU - Sanchez-Sepulveda, Mónica V.
AU - Escudero, David Fonseca
AU - Navarro, Joan
AU - Amo-Filva, Daniel
N1 - Funding Information:
The project has been financed by the Barcelona City Council and the Ministry of Science and Innovation within the framework of Barcelona’s Cultural and Scientific Capital. Acceptance grant code 22S09490-001.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Sustainable mobility and circular economy are fundamental pillars in the fight against the climate crisis, covering all modes of transport with minimal or zero impact on the environment. The sustainable mobility of people and goods allows access to education, culture, housing, work, leisure, and food, it is part of millions of people every day and is one of the factors that most influence the path towards decarbonization, reduction of the greenhouse, gas emissions, improving the health of citizens and providing economic benefits. For this reason, it is essential to rethink mobility towards a more sustainable one by exploiting data and existing and in-the-field sensors. This project aims to build a platform capable of helping contemporary cities in the transformation towards sustainable, resilient, and healthy cities through the exploitation of data, both existing and sensors in the field. We propose to build a 2-layer platform committed to (1) quantitative data processing, which can be merged, processed, and visualized, using Big Data processing techniques to display relevant data and extract relevant information in the field of urban design, and (2) strategic system, which will assist in the definition of criteria to help citizens and regional governments to solve the problems derived from the design of contemporary cities. The efficient use of available technologies, aimed at improving the quality of life of the population, will lead to greater care for the environment and the reduction of social inequality. The proposed approach will integrate into existing decision support systems by providing quantitative and qualitative suggestions on sustainable policy architecture to drive healthy environmental and mobility management.
AB - Sustainable mobility and circular economy are fundamental pillars in the fight against the climate crisis, covering all modes of transport with minimal or zero impact on the environment. The sustainable mobility of people and goods allows access to education, culture, housing, work, leisure, and food, it is part of millions of people every day and is one of the factors that most influence the path towards decarbonization, reduction of the greenhouse, gas emissions, improving the health of citizens and providing economic benefits. For this reason, it is essential to rethink mobility towards a more sustainable one by exploiting data and existing and in-the-field sensors. This project aims to build a platform capable of helping contemporary cities in the transformation towards sustainable, resilient, and healthy cities through the exploitation of data, both existing and sensors in the field. We propose to build a 2-layer platform committed to (1) quantitative data processing, which can be merged, processed, and visualized, using Big Data processing techniques to display relevant data and extract relevant information in the field of urban design, and (2) strategic system, which will assist in the definition of criteria to help citizens and regional governments to solve the problems derived from the design of contemporary cities. The efficient use of available technologies, aimed at improving the quality of life of the population, will lead to greater care for the environment and the reduction of social inequality. The proposed approach will integrate into existing decision support systems by providing quantitative and qualitative suggestions on sustainable policy architecture to drive healthy environmental and mobility management.
KW - Big Data
KW - Sustainable mobility
KW - urban design
UR - http://www.scopus.com/inward/record.url?scp=85169070496&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-34411-4_8
DO - 10.1007/978-3-031-34411-4_8
M3 - Conference contribution
AN - SCOPUS:85169070496
SN - 9783031344107
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 91
EP - 104
BT - Learning and Collaboration Technologies - 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Zaphiris, Panayiotis
A2 - Ioannou, Andri
A2 - Ioannou, Andri
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 July 2023 through 28 July 2023
ER -
