Urban dynamic in high spatiotemporal resolution: the case study of Porto

Cities that prioritize sustainability leverage data from daily urban activities to make informed decisions. Research has shown the effectiveness of indicators regarding traffic, public transport, shared mobility, and air quality data to manage and monitor urban systems. However, there has been limited effort to develop composite indicators that represent multiple phenomena in a single metric. The authors propose a high-resolution spatiotemporal indicator to measure urban dynamic (UDI). They collected hourly data on traffic, public transport usage, e-scooter trips, and air quality in Porto, Portugal. Factor analysis was applied to extract the composite indicator and provide a holistic view of the city's dynamic. Results revealed higher urban dynamic in the northwest and southwest areas in the Aldoar, as well as some areas in Cedofeita and Bonfim parishes. The UDI also showed higher dynamics on business days than on weekends, with the afternoon period displaying the highest dynamic, while traffic flow is variable with the highest impact. Using mobile phone location data, the authors evaluated the UDI's values, demonstrating its ability to support data-driven decision-making and inform interventions by city planners. The UDI is a tool that helps city planners make informed decisions by providing a comprehensive view of the city's dynamics.

• Record URL:
  https://doi.org/10.1016/j.scs.2023.104867
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S221067072300478X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Jardim, Bruno
  • 0000-0002-6232-2115
  • Neto, Miguel de Castro
  • Calçada, Paulo
• Publication Date: 2023-11

Language

• English

Media Info

• Media Type: Digital/other
• Features: Maps; References; Tables;
• Pagination: 104867
• Serial:
  • Sustainable Cities and Society
  • Volume: 98
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-6707
  • Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2

Subject/Index Terms

• TRT Terms: Cities; City planning; Factor analysis; Geospatial data; Metrics (Quantitative assessment); Traffic flow
• Geographic Terms: Porto (Portugal)
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01894004
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 22 2023 9:08AM