Defining urban logistics profile zones in South American metropolis by combining functional and spatial clustering techniques

Andres Regal, Jesus Gonzalez-Feliu, Michelle Rodriguez, Mihaela Juganaru-Mathieu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a framework to define a zoning strategy taking into account both functional and spatial patterns. This partition allows further development of territorial intelligence analytics indicators, mainly in the context of urban logistics in developing countries. First, the main notions of territorial intelligence and analytics are proposed, as well as the needs of producing standard, transferable spatial and zoning data. Then, the main framework, based on functional and spatial clustering techniques, is presented. After that, the framework is illustrated via an application to the metropolitan area of Lima-Callao, Peru. Results show that functional elementary zones of same type mainly have a continuity, but some actions need to be taken in a small set of zones. Finally, main research and practice implications are addressed, showing a generic, replicable methodology based on open data.
Original languageEnglish
Title of host publication2019 International Conference on Control, Automation and Diagnosis, ICCAD 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-172812292-2
DOIs
StatePublished - Jul 2019
Event2019 International Conference on Control, Automation and Diagnosis, ICCAD 2019 - Proceedings -
Duration: 1 Jul 2019 → …

Conference

Conference2019 International Conference on Control, Automation and Diagnosis, ICCAD 2019 - Proceedings
Period1/07/19 → …

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • demand estimation
  • multivariate clustering
  • open data
  • territorial intelligence analytics
  • urban logistics
  • zoning

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