Publish Date: 27.12.2022
Category: Outstanding research achievements, Interdisciplinary research, Our contribution to sustainable development goals
Sustainable development goals: 11 Sustainable cities and communities, 13 Climate action, 15 Life on land (Indicators)
The study establishes a connection between congestion metrics and a sustainability assessment, aimed at demonstrating the feasibility of integrating travel time indicators into the NSA standards. The paper contributes to the development of analytical approaches and indicators to address the variability of travel times, which can evaluate the extent of traffic congestion and the efficiency of travel on selected strategic routes at selected time intervals, even in cases where data sources for estimation are limited.
The research combines traditional statistical methods with machine learning and analytical approaches for the detection and characterisation of circadian rhythms (applied cosinor regression). The study supports three contemporary concepts: integration, interchangeability and reusability of data. It raises issues of integration and comparability of data, which are important for providing reliable estimates of the predictability of traffic situations on certain strategic links to neighbourhoods. The study also holds considerable potential for further advancing applied analyses in the public transport realm, due to easily accessible travel time data gathered by the public transport agencies. The evaluation of the balance between travel modes as one of the key indicators of sustainable mobility can also be quantifiably analysed and addressed by comparing the duration of travel times and, in particular, their variability (travel time reliability), which have a significant impact on the travel habits and behaviour of users.
Figure 1: The six strategic routes mapped (interactive map) – each of the three observed Ljubljana neighbourhoods is the origin of two routes, one heading to the city centre and one heading to BTCity shopping and services centre (base layer: Google Inc, 2021).
Figure 2: Comparison of travel time rate (pace) distribution with TTI (travel time index) and PTI (planning time index) values separately by workdays/weekends on the six traffic routes examined.
Authors:
Znan. sod. dr. VEROVŠEK, Špela, doc. dr. JUVANČIČ, Matevž, doc. dr. PETROVČIČ, Simon, prof. dr. ZUPANČIČ, Tadeja, prof. dr. SVETINA, Matija, asist. dr. JANEŽ, Miha, asist. dr. PUŠNIK, Žiga, VELIKAJNE, Nina, izr. prof. dr. MOŠKON, Miha
Source:
Verovšek, Š., Juvančič, M., Petrovčič, S., Zupančič, T., Svetina, M., Janež, M., ... and Moškon, M. (2022). An integrative approach to neighbourhood sustainability assessments using publicly available traffic data. Computers, Environment and Urban Systems, 95, 101805.