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C-TECH - Climate Driven Technologies for Low Carbon Cities

Topo Projetos

C-TECH - Climate Driven Technologies for Low Carbon Cities: A digital smart city platform for urban modelling and planning.

About the Project

C-TECH - Climate Driven Technologies for Low Carbon Cities: A digital smart city platform for urban modelling and planning.

The C-Tech project aims to investigate, develop and validate at a pilot scale a digital platform of smart cities for urban modeling and planning, based on a three-dimensional representation of the city and its combination with several data from different sources (such as climate, energy and water consumption, mobility and above all, user behavior determined by the use of mobile phones). It will allow to simulate different scenarios of energy efficiency of buildings, creation of green structures and energy efficiency of urban mobility, empowering local authorities to identify and effectively address specific environmental issues in order to reduce their carbon footprint.

The accomplishment of these objectives is based on the execution of a work plan structured in 9 complementary activities, covering all stages of the product development cycle. The adopted research methodology relates industrial research to experimental development, ensuring continuous validation and integration of feedback.

Impact:

  • Platform for urban modelling and planning (PUMP): based on the physical representation of the city;
  • Dynamic Energy Consumption Building Model (DECB): simulation of building energy use and thermal needs for all the city, providing individual building resolution;
  • Climate-based urban human powered comfort model (CBUPCM).

Our contribution

NOVA IMS will contribute to this project by developing a suite of exploratory data science models to analyze critical urban aspects. These models will delve into pedestrian environments, waste generation patterns, illegal parking incidents, crash risks, and bike-sharing station occupancy. This research will provide valuable insights to optimize urban planning, waste management, traffic flow, road safety, and sustainable transportation, ultimately creating a safer, cleaner, and more accessible Lisbon.

Partnership

In line with its complexity and disruption degree, the project is developed by a consortium composed of 5 complementary business and scientific entities:

  • NOVA IMS;
  • NOS Comunicações;
  • Instituto Superior Técnico;
  • CEiiA - Centro de Engenharia e Desenvolvimento;
  • Lisboa E-Nova - Agência Municipal de Energia e Ambiente de Lisboa.

MIT will participate directly in the project, providing the consortium with the specialized knowledge and consolidated experience of two main researchers from two research centers: the MIT Sustainable Design Lab and MIT Trancik Lab.

Contribution to the SDGs

  • SDG 11 Sustainable Cities And Communities

Funding

  • Funding Programme: Programa Operacional Competitividade e Internacionalização (POCI), Programa Operacional Lisboa (PO Lisboa)
  • Funding to NOVA IMS: 495 865,42 €
  • Duration: 2020 – 2023

Project outputs

  • "Monitoring Cities’ Environmental Sustainability : Lisbon’s Case Study"

    Pacheco, P. M. E., & Neto, M. D. C. (2022)

    Monitoring Cities’ Environmental Sustainability : Lisbon’s Case Study. In 2022 17th  Iberian Conference on Information Systems and Technologies (CISTI): proceedings (pp. 1-7). (CISTI 2022. 17th  Iberian Conference on Information Systems and Technologies, 22-25 June 2022, Madrid, Spain). IEEE. ISBN: 978-9-8933-3436-2. https://doi.org/10.23919/CISTI54924.2022.9820501.

  • "Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review"

    Jardim, B., & De Castro Neto, M. (2022)

    Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review. Sustainability, 14(17), 1-24. [10933]. https://doi.org/10.3390/su141710933.

  • "A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow"

    Jardim, B., Neto, M. D. C., & Barriguinha, A. (2023)

    A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow. Computers, Environment and Urban Systems, 104(September), [101993]. https://doi.org/10.1016/j.compenvurbsys.2023.101993.

  • "The Illegal Parking Score: Understanding and predicting the risk of parking illegalities in Lisbon based on spatiotemporal features"

    Jardim, B., Alpalhão, N., Sarmento, P., & Neto, M. D. C. (2022)

    The Illegal Parking Score: Understanding and predicting the risk of parking illegalities in Lisbon based on spatiotemporal features. Case Studies on Transport Policy, 10(3), 1816-1826. https://doi.org/10.1016/j.cstp.2022.07.011.

  • "Evaluating walkability through a multi-criteria decision analysis approach: A Lisbon case study"

    Manzolli, J. A., Oliveira, A., & Neto, M. D. C. (2021)

    Evaluating walkability through a multi-criteria decision analysis approach: A lisbon case study. Sustainability (Switzerland), 13(3), 1-20. [1450]. https://doi.org/10.3390/su13031450.