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Katja Schechtner

Researcher at Massachusetts Institute of Technology

Publications -  21
Citations -  1119

Katja Schechtner is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Pedestrian & Landmark. The author has an hindex of 11, co-authored 20 publications receiving 960 citations. Previous affiliations of Katja Schechtner include Vienna University of Technology & Austrian Institute of Technology.

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Journal ArticleDOI

Understanding road usage patterns in urban areas

TL;DR: This paper combines the most complete record of daily mobility, based on large-scale mobile phone data, with detailed GIS data, uncovering previously hidden patterns in urban road usage, and proposes a network of road usage by defining a bipartite network framework.
Journal ArticleDOI

The Collaborative Image of The City: Mapping the Inequality of Urban Perception

TL;DR: The results show that online images can be used to create reproducible quantitative measures of urban perception and characterize the inequality of different cities, using thousands of geo-tagged images to measure the perception of safety, class and uniqueness.
Journal ArticleDOI

Developing Landmark-Based Pedestrian-Navigation Systems

TL;DR: This contribution points out the main requirements for pedestrian-navigation technologies and presents an approach to identify pedestrian flows and to imply landmark information into navigation services for pedestrians.
Book ChapterDOI

Decision Loads and Route Qualities for Pedestrians — Key Requirements for the Design of Pedestrian Navigation Services

TL;DR: The contribution presents a synopsis of main requirements for pedestrian navigation systems, focussing on the key qualities for designing pedestrian wayfinding systems and the consideration of landmarks as spatial information in portable pedestrian navigation services.
Book ChapterDOI

What Makes You Bike? Exploring Persuasive Strategies to Encourage Low-Energy Mobility

TL;DR: Three persuasive strategies designed based on triggering messages that harness social influence to facilitate more frequent biking, a virtual bike tutorial to increase biker’s self-efficacy for urban biking, and an arranged bike ride to help less experienced bikers overcome initial barriers towards biking are explored.