Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons

Miguel Costa, Manuel Marques, Felix Wilhelm Siebert, Carlos Lima Azevedo, Filipe Moura

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Today, many cities seek to transition to more sustainable transportation systems. Cycling is critical in this transition for shorter trips, including first-and-last-mile links to transit. Yet, if individuals perceive cycling as unsafe, they will not cycle and choose other transportation modes. This study presents a novel approach to identifying how the perception of cycling safety can be analyzed and understood and the impact of the built environment and cycling contexts on such perceptions. We base our work on other perception studies and pairwise comparisons, using real-world images to survey respondents. We repeatedly show respondents two road environments and ask them to select the one they perceive as safer for cycling. We compare several methods capable of rating cycling environments from pairwise comparisons and classify cycling environments perceived as safe or unsafe. Urban planning can use this score to improve interventions' effectiveness and improve cycling promotion campaigns. Furthermore, this approach facilitates the continuous assessment of changing cycling environments, allows for a short-term evaluation of measures, and is efficiently deployed in different locations or contexts.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
PublisherIEEE
Publication date2024
Pages4046-4051
DOIs
Publication statusPublished - 2024
Event26th IEEE International Conference on Intelligent Transportation Systems - Bilbao, Spain
Duration: 24 Sept 202328 Sept 2023

Conference

Conference26th IEEE International Conference on Intelligent Transportation Systems
Country/TerritorySpain
CityBilbao
Period24/09/202328/09/2023

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