Quantitative understanding of success and inequality through network science The unprecedented availability of large-scale datasets on human activities and interactions has enabled us to quantitatively understand how networks shape success and drive inequalities in various fields. In this talk, I will highlight the crucial role of network science in comprehending social phenomena, particularly in the […]
Computational, evidence-based approaches to bicycle network planning In this talk, I explore the opportunities and limitations of network and data science for bicycle infrastructure planning. With the increasing popularity of cycling as a mode of transportation, and the necessity to invest into sustainable transport, more accurate and reliable data and computational methods on bicycle […]
https://talks.osgeo.org/foss4g-2023/talk/RPVTPU/ BikeDNA: A tool for Bicycle Infrastructure Data & Network Assessment 2023-06-28, 16:00–16:30 (Europe/Tirane), UBT C / N110 - Second Floor Access to high-quality data on existing bicycle infrastructure is a requirement for evidence-based bicycle network planning, which can support a green transition of human mobility. However, this requirement is rarely met: Data from governmental […]
https://easychair.org/smart-program/NetSci2023/2023-07-12.html#talk:224079 Luca Maria Aiello, Sándor Juhász, Anastassia Vybornova, Eszter Bokányi and Michael Szell Highways are barriers to urban social connections PRESENTER: Anastassia Vybornova ABSTRACT. Geographic distances influence social connections inside cities - even in our digital age . Both the perception of physical distance and the likelihood of forming social ties across locations are influenced by infrastructural elements, as previous studies […]