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Street View Imagery (SVI) has emerged as a valuable data form in urban studies, enabling new ways to map and sense urban environments. However, fundamental concerns regarding the representativeness, quality, and reliability of SVI remain…

Machine Learning · Computer Science 2025-01-27 Zicheng Fan , Chen-Chieh Feng , Filip Biljecki

Cycling is reported by an average of 35\% of adults at least once per week across 28 countries, and as vulnerable road users directly exposed to their surroundings, cyclists experience the street at an intensity unmatched by other modes.…

Physics and Society · Physics 2026-02-12 Haining Ding , Chenxi Wang , Michal Gath-Morad

Street imagery is a promising big data source providing current and historical images in more than 100 countries. Previous studies used this data to audit built environment features. Here we explore a novel application, using Google Street…

Transportation influence health by shaping exposure to physical activity, air pollution and injury risk. Comparative data on cycling and motorcycling behaviours is scarce, particularly at a global scale. Street view imagery, such as Google…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Kyriaki , Kokka , Rahul Goel , Ali Abbas , Kerry A. Nice , Luca Martial , SM Labib , Rihuan Ke , Carola Bibiane Schönlieb , James Woodcock

Street view imagery (SVI), largely captured via outfitted fleets or mounted dashcams in consumer vehicles is a rapidly growing source of geospatial data used in urban sensing and development. These datasets are often collected…

Human-Computer Interaction · Computer Science 2024-04-02 Tahiya Chowdhury , Ilan Mandel , Jorge Ortiz , Wendy Ju

As digital tools increasingly shape spatial planning practices, understanding how different data sources reflect human experiences of urban environments is essential. Street View Imagery (SVI) and Public Participation GIS (PPGIS) represent…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Milad Malekzadeh , Elias Willberg , Jussi Torkko , Silviya Korpilo , Kamyar Hasanzadeh , Olle Järv , Tuuli Toivonen

Street View Imagery (SVI) is a valuable data source for studies (e.g., environmental assessments, green space identification or land cover classification). While commercial SVI is available, such providers commonly restrict copying or reuse…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Matthew Danish , SM Labib , Britta Ricker , Marco Helbich

Urban greenery is considered an important factor in relation to sustainable development and people's quality of life in the city. Although ways to measure urban greenery have been proposed, the characteristics of each metric have not been…

Computers and Society · Computer Science 2021-05-03 Yusuke Kumakoshi , Sau Yee Chan , Hideki Koizumi , Xiaojiang Li , Yuji Yoshimura

"People want an authority to tell them how to value things. But they chose this authority not based on facts or results. They chose it because it seems authoritative and familiar." - The Big Short The pavement condition index is one such a…

Computers and Society · Computer Science 2016-10-03 Varun Adibhatla , Shi Fan , Krystof Litomisky , Patrick Atwater

Street View Images (SVI) are a common source of valuable data for researchers. Researchers have used SVI data for estimating pedestrian volumes, demographic surveillance, and to better understand built and natural environments in…

Computer Vision and Pattern Recognition · Computer Science 2024-01-25 Matthew Martell , Nick Terry , Ribhu Sengupta , Chris Salazar , Nicole A. Errett , Scott B. Miles , Joseph Wartman , Youngjun Choe

Bikeability assessment is essential for advancing sustainable urban transportation and creating cyclist-friendly cities, and it requires incorporating users' perceptions of safety and comfort. Yet existing perception-based bikeability…

Computation and Language · Computer Science 2026-01-08 Yilong Dai , Ziyi Wang , Chenguang Wang , Kexin Zhou , Yiheng Qian , Susu Xu , Xiang Yan

On-road air pollution exhibits substantial variability over short distances due to emission sources, dilution, and physicochemical processes. Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting…

Machine Learning · Computer Science 2024-09-20 Hui Zhong , Di Chen , Pengqin Wang , Wenrui Wang , Shaojie Shen , Yonghong Liu , Meixin Zhu

Today, many cities seek to transition to more sustainable transportation systems. Cycling is critical in this transition for shorter trips, including first-and-last-mile links to transit. Yet, if individuals perceive cycling as unsafe, they…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Miguel Costa , Manuel Marques , Felix Wilhelm Siebert , Carlos Lima Azevedo , Filipe Moura

Relative Validity Indices (RVIs) such as the Silhouette Width Criterion and Davies Bouldin indices are the most widely used tools for evaluating and optimising clustering outcomes. Traditionally, their ability to rank collections of…

Conventional approaches for addressing road safety rely on manual interventions or immobile CCTV infrastructure. Such methods are expensive in enforcing compliance to traffic rules and do not scale to large road networks. This paper…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Harish Rithish , Raghava Modhugu , Ranjith Reddy , Rohit Saluja , C. V. Jawahar

Bike usage in Smart Cities becomes paramount for sustainable urban development. Cycling provides tremendous opportunities for a more healthy lifestyle, lower energy consumption and carbon emissions as well as reduction of traffic jams.…

Computers and Society · Computer Science 2019-05-22 David Castells-Graells , Christopher Salahub , Evangelos Pournaras

While cycling offers an attractive option for sustainable transportation, many potential cyclists are discouraged from taking up cycling due to the lack of suitable and safe infrastructure. Efficiently mapping cycling infrastructure across…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Kal Backman , Ben Beck , Dana Kulić

With the focus that cities around the world have put on sustainable transportation during the past few years, biking has become one of the foci for local governments around the world. Cities all over the world invest in bike infrastructure,…

Applications · Statistics 2019-02-14 Sara Daraei , Konstantinos Pelechrinis , Daniele Quercia

Particle Image Velocimetry (PIV) is a widely adopted non-invasive imaging technique that tracks the motion of tracer particles across image sequences to capture the velocity distribution of fluid flows. It is commonly employed to analyze…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Yunzhong Zhang , Bo Xiong , You Zhou , Changqing Su , Zhen Cheng , Zhaofei Yu , Xun Cao , Tiejun Huang
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