419
Views
19
CrossRef citations to date
0
Altmetric
Articles

Active mobility-oriented urban development: a morpho-syntactic scenario for a mid-sized town

&
Pages 320-344 | Received 17 Feb 2021, Accepted 22 Mar 2022, Published online: 06 Jun 2022
 

ABSTRACT

This work is based on the analysis and the assessment of morphological and syntactic characteristics of the street network of a mid-sized city: Potenza (County Seat of Basilicata region – Italy). Based on the identification of sustainable mobility options related to the selected case study, the research identifies an active mobility infrastructure framework to improve sustainable mobility policies as a component of urban planning. This research presents the methodology used for creating a ‘morpho-syntactic’ scenario for the case study town. Traditional techniques for morphological analysis (including terrain and street slope) have been integrated by mathematical graph theory-based spatial configuration measurements using the Space Syntax Analysis and Place Syntax Analysis as an extended framework oriented to assess ‘urban places’. The results obtained by this approach are useful for planning a more sustainable urban mobility scenario based on the pedestrian route network for Potenza town and represent a transferable analytical framework for similar cases.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 adopted at the United Nations Conference on Housing and Sustainable Urban Development (Habitat III) in Quito, Ecuador, on 20 October 2016

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 622.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.