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Related papers: Data coverage, richness, and quality of OpenStreet…

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Roads are among the most essential components of any country's infrastructure. By facilitating the movement and exchange of people, ideas, and goods, they support economic and cultural activity both within and across local and international…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 John Kamalu , Benjamin Choi

Sidewalks play a pivotal role in urban mobility of everyday life. Ideally, sidewalks provide a safe walkway for pedestrians, link public transportation facilities, and equip people with routing and navigation services. However, there is a…

Computers and Society · Computer Science 2022-10-06 Kazi Shahrukh Omar , Gustavo Moreira , Daniel Hodczak , Maryam Hosseini , Fabio Miranda

With much of our lives taking place online, researchers are increasingly turning to information from the World Wide Web to gain insights into geographic patterns and processes. Web scraping as an online data acquisition technique allows us…

Information Retrieval · Computer Science 2023-06-01 Alexander Brenning , Sebastian Henn

OpenStreetMap (OSM) is a free map of the world which can be edited by global volunteers. Existing studies have showed that completeness of OSM road data in some developing countries (e.g. China) is much lower, resulting in concern in…

Computers and Society · Computer Science 2019-09-11 Qi Zhou , Hao Lin

Geographic data plays an essential role in various Web, Semantic Web and machine learning applications. OpenStreetMap and knowledge graphs are critical complementary sources of geographic data on the Web. However, data veracity, the lack of…

Artificial Intelligence · Computer Science 2023-02-20 Elena Demidova , Alishiba Dsouza , Simon Gottschalk , Nicolas Tempelmeier , Ran Yu

While informal settlements lack focused development and are highly dynamic, the quality of spatial data for these places may be uncertain. This study evaluates the quality and biases of AI-generated Open Building Datasets (OBDs) generated…

Databases · Computer Science 2025-08-19 Franz Okyere , Meng Lu , Ansgar Brunn

Accurately measuring street dimensions is essential to evaluating how their design influences both travel behavior and safety. However, gathering street-level information at city scale with precision is difficult given the quantity and…

Physics and Society · Physics 2026-01-28 Marcel Moran , Arunav Gupta , Jiali Qian , Debra Laefer

Throughout history, maps have been used as a tool to explore cities. They visualize a city's urban fabric through its streets, buildings, and points of interest. Besides purely navigation purposes, street names also reflect a city's culture…

Human-Computer Interaction · Computer Science 2021-06-10 Edyta Paulina Bogucka , Marios Constantinides , Luca Maria Aiello , Daniele Quercia , Wonyoung So , Melanie Bancilhon

Urban planners need up-to-date, global, and consistent street network models and indicators to measure resilience and performance, model accessibility, and target local quality-of-life interventions. This article presents up-to-date street…

Physics and Society · Physics 2026-05-04 Geoff Boeing

Road network data provides rich information about cities, but processing worldwide OpenStreetMap (OSM) data is computationally intensive, and the resulting graphs are often difficult to unify for benchmarking downstream tasks. Existing…

Databases · Computer Science 2026-05-22 Guanjie Zheng , Ziyang Su , Yiheng Wang , Yuhang Luo , Hongwei Zhang , Xuanhe Zhou , Linghe Kong , Fan Wu , Wen Ling

Street view data is increasingly being used in computer vision applications in recent years. Machine learning datasets are collected for these applications using simple sampling techniques. These datasets are assumed to be a systematic…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Tim Alpherts , Sennay Ghebreab , Nanne van Noord

OpenStreetMap is a rich source of openly available geographic information. However, the representation of geographic entities, e.g., buildings, mountains, and cities, within OpenStreetMap is highly heterogeneous, diverse, and incomplete. As…

Information Retrieval · Computer Science 2021-09-22 Alishiba Dsouza , Nicolas Tempelmeier , Ran Yu , Simon Gottschalk , Elena Demidova

This paper presents a framework for assessing data and metadata quality within Open Data portals. Although a few benchmark frameworks already exist for this purpose, they are not yet detailed enough in both breadth and depth to make valid…

Information Retrieval · Computer Science 2021-06-18 Lisa Wenige , Claus Stadler , Michael Martin , Richard Figura , Robert Sauter , Christopher W. Frank

Road networks are among the most essential components of a country's infrastructure. By facilitating the movement and exchange of goods, people, and ideas, they support economic and cultural activity both within and across borders.…

Machine Learning · Computer Science 2020-12-02 Benjamin Choi , John Kamalu

Spatial road networks have been widely employed to model the structure and connectivity of cities. In such representation, the question of spatial scale of the entities in the network, i.e. what its nodes and edges actually embody in…

Physics and Society · Physics 2022-01-27 Hoai Nguyen Huynh , Muhamad Azfar Bin Ramli

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 required. Planning such a network requires high-quality…

Computers and Society · Computer Science 2025-01-22 Ane Rahbek Vierø , Anastassia Vybornova , Michael Szell

The meaning and purposes of web has been changing and evolving day by day. Web 2. 0 encouraged more contribution by the end users. This movement provided revolutionary methods of sharing and computing data by crowdsourcing such as…

Computers and Society · Computer Science 2013-09-26 Sukhjit Singh Sehra , Jaiteg Singh , Hardeep Singh Rai

Pedestrian accessibility is an important factor in urban transport and land use policy and critical for creating healthy, sustainable cities. Developing and evaluating indicators measuring inequalities in pedestrian accessibility can help…

Road unevenness significantly impacts the safety and comfort of traffic participants, especially vulnerable groups such as cyclists and wheelchair users. To train models for comprehensive road surface assessments, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Alexandra Kapp , Edith Hoffmann , Esther Weigmann , Helena Mihaljević
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