Democratizing air: A co-created citizen science approach to indoor air quality monitoring DOI Creative Commons
Sachit Mahajan, M.R. Mondardini, Dirk Helbing

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 116, P. 105890 - 105890

Published: Oct. 22, 2024

Language: Английский

Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics DOI
Yujun Hou, Matías Quintana, Maxim Khomiakov

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 215, P. 216 - 238

Published: July 16, 2024

Language: Английский

Citations

26
Global comparison of urban bike-sharing accessibility across 40 cities DOI Creative Commons
Sachit Mahajan, Javier Argota Sánchez–Vaquerizo

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 3, 2024

Language: Английский

Citations

5
ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science DOI
Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman

et al.

Computers Environment and Urban Systems, Journal Year: 2025, Volume and Issue: 119, P. 102283 - 102283

Published: March 20, 2025

Language: Английский

Citations

0
Evaluating Urban Bike-Sharing Accessibility: A Comparative Study of 40 Cities Worldwide DOI
Sachit Mahajan, Javier Argota Sánchez–Vaquerizo

Published: Jan. 1, 2024

Language: Английский

Citations

1
Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation System DOI Open Access

Alexander Eggerth,

Javier Argota Sánchez–Vaquerizo, Dirk Helbing

et al.

Published: Oct. 8, 2024

Urban navigation systems traditionally optimize for efficiency, thereby overlooking environmental factors and personal preferences. This paper introduces Routify, a novel multi-criteria recommender system personalized urban route selection. Routify advances the state-of-the-art in recommendation through: (1) integration of diverse data (air quality, noise levels, green spaces) with real-time IoT inputs; (2) dynamic weighting algorithm allowing fine-grained user control over routing parameters; (3) transparent decision-making via an interactive interface displaying edge-level information; (4) community-driven feedback mechanism that continuously refines recommendations. We have implemented as open-source platform, facilitating further research development. Experimental results from 1000 origin-destination pairs demonstrate significant improvements user-defined metrics (up to 32.98% increase index walking 16.91% reduction levels cycling) compared traditional systems. These come slight trade-offs distance, especially mode. Our contributes comprehensive framework recommendation, balancing individual preferences, factors, community insights navigation.

Language: Английский

Citations

0
Democratizing air: A co-created citizen science approach to indoor air quality monitoring DOI Creative Commons
Sachit Mahajan, M.R. Mondardini, Dirk Helbing

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 116, P. 105890 - 105890

Published: Oct. 22, 2024

Language: Английский

Citations

0