29 citations · 77 across the 11 of their papers we have counts for
6 papers · 1 filter
Adaptive continuity-preserving simplification of street networks
Martin Fleischmann, Anastassia Vybornova, James D. Gaboardi +2
Street network data is widely used to study human-based activities and urban structure. Often, these data are geared towards transportation applications, which require highly granu…
You Don't Have to Live Next to Me: Towards Demobilizing Individualistic Bias in Computational Approaches to Urban Segregation
Anastassia Vybornova, Trivik Verma
The global surge in social inequalities is one of the most pressing issues of our times. The spatial expression of social inequalities at city scale gives rise to urban segregation…
BikeNodePlanner: a data-driven decision support tool for bicycle node network planning
Anastassia Vybornova, Ane Rahbek Vierø, Kirsten Krogh Hansen +1
A bicycle node network is a wayfinding system targeted at recreational cyclists, consisting of numbered signposts placed alongside already existing infrastructure. Bicycle node net…
How Good Is Open Bicycle Infrastructure Data? A Countrywide Case Study of Denmark
Ane Rahbek Vierø, Anastassia Vybornova, Michael Szell
Cycling is a key ingredient for a sustainability shift of Denmark's transportation system. To increase cycling rates, a better nationwide network of bicycle infrastructure is requi…
A shape-based heuristic for the detection of urban block artifacts in street networks
Martin Fleischmann, Anastassia Vybornova
Street networks are ubiquitous components of cities, guiding their development and enabling movement from place to place; street networks are also the critical components of many u…
BikeDNA: A Tool for Bicycle Infrastructure Data & Network Assessment
Ane Rahbek Vierø, Anastassia Vybornova, Michael Szell
High-quality data on existing bicycle infrastructure are a requirement for evidence-based bicycle network planning, which supports a green transition of human mobility. However, th…