An integrative approach to neighbourhood sustainability assessments using publicly available traffic data

Verovšek, Špela (author), Juvančič, Matevž (author), Petrovčič, Simon (author), Zupančič, Tadeja (author), Svetina, Matija (author), Janež, Miha (author), Pušnik, Žiga (author), Velikajne, Nina (author), Moškon, Miha (author)

Travel time data and variability of travel times can be used to quantify the network performance as an important aspect of sustainable development in modern cities. We introduce a data collection and analysis framework to be employed as an integral part of a neighbourhood sustainability assessment (NSA). The proposed framework performs a targeted selection and evaluation of indicators based on publicly available traffic data, specifically addressing short-term observations of travel times and traffic counts. Entailing a hybrid and modular approach, we demonstrate the applicability of travel time reliability measures by combining different datasets, various variability estimators, and visualisation methods, to advance the interpretation strength of the assessment. Implemented are regression methods based on cosinor models, which allow us to analyse the rhythmic behaviour of travel time trends. These models can be applied to assess the differential rhythmicity among different factors, like route, weather conditions and type of day (i.e., weekend or workday). Further, the same datasets are used to evaluate two reliability metrics, i.e., a travel time index and a planning time index. We demonstrate the application of the suggested framework on several strategic routes associated with three testbed neighbourhoods in Ljubljana, Slovenia. The results show that average travel times and their variations are affected by route, day of the week, and weather conditions, and correlate with vehicles count data. Analyses of rhythmicity give straightforward insights into travel time trends, appropriate for comparative analysis and thus well-suited for use in NSA and monitoring practices. To the best of our knowledge, this work presents the first study quantifying reliability indicators intended for integration with NSA standards.

• Language: English
• Keywords: travel time reliability, congestion, neighbourhood sustainability assessment, NSA, cosinor regression, travel times rhythmicity
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FA - Faculty of Architecture; FF - Faculty of Arts; FRI - Faculty of Computer and Information Science
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: 14 str.
• Numbering: Vol. 95, art. 101805
• PID: 20.500.12556/RUL-139067
• UDC: 004:629.7.058.68
• ISSN on article: 0198-9715
• DOI: 10.1016/j.compenvurbsys.2022.101805
• COBISS.SI-ID: 105168387
• Publication date in RUL: 30.08.2022

Record is a part of a journal

• Title: Computers, environment and urban systems
• Shortened title: Comput., environ. urban syst.
• Publisher: Elsevier
• ISSN: 0198-9715
• COBISS.SI-ID: 25265664

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: zanesljivost časov potovanj, zastoji, ocenjevanje trajnosti sosesk, regresija cosinor, časi potovanj, ritmičnost