The objective of this study is to develop a data-based mobility dashboard that monitors key aspects of mobility in the Athens Metropolitan Area (AMA), providing stakeholders with insights for assessing and developing mobility solutions, policies and measures. Traffic flow variations are observed, and ridership data are collected for different modes of public transport in order to understand mobility patterns from 2020 until today. In addition, relative indicators, such as travel delays regarding traffic, average travel speed, and the ratio of peak travel time to off-peak travel times are presented and estimated considering 15-day periods, with traffic data being reported in real-time. The dashboard, developed in a WebGIS environment, is comprised of a set of 11 critical routes which show high spatiotemporal traffic flow variations, while with the help of spatiotemporal visualizations, useful comparisons can be made in relation to public transport ridership. Using Google Traffic Maps, route travel times are collected and analyzed at 07:45, 08:45, 14:45 and 17:45 on weekdays. The dashboard is developed in such a way so to provide policymakers, practitioners, researchers, and the public with comprehensive and detailed information about mobility trends in the AMA, while further facilitating the decision-making process for policymakers by highlighting areas where targeted interventions may be necessary.
A WebGIS Mobility Dashboard for Analyzing Spatiotemporal Traffic Flow and Public Transport Dynamics in Athens, Greece
Lecture Notes in Intelligent Transportation and Infrastructure
Conference on Sustainable Urban Mobility ; 2024 ; Kalivia Filaktis, Greece September 04, 2024 - September 06, 2024
2025-03-10
14 pages
Article/Chapter (Book)
Electronic Resource
English
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