Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics

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

Published: July 16, 2024

Language: Английский

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Thermal comfort in sight: Thermal affordance and its visual assessment for sustainable streetscape design

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112569 - 112569

Published: Jan. 1, 2025

Language: Английский

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Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

Journal of Remote Sensing, Journal Year: 2023, Volume and Issue: 4

Published: Dec. 28, 2023

The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the proliferation of crowdsourced geospatial data. Facilitated by advancements in digital technology and high-speed communication, this paradigm shift democratized collection, obliterating traditional barriers between producers users. While previous literature compartmentalized subject into distinct platforms application domains, review offers a holistic examination Employing narrative approach due interdisciplinary nature topic, we investigate both human Earth observations through initiatives. This categorizes diverse applications these rigorously examines specific paradigms pertinent collection. Furthermore, it addresses salient challenges, encompassing quality, inherent biases, ethical dimensions. We contend that thorough analysis will serve as an invaluable scholarly resource, encapsulating current state-of-the-art data, offering strategic directions for future research across various sectors.

Language: Английский

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greenR: An open-source framework for quantifying urban greenness

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112108 - 112108

Published: May 13, 2024

How do we quantify the levels of greenness within urban street networks? Numerous attempts to this factor have been made through survey methodologies, remote sensing data, and view imagery. The results are promising, but often limited by scalability constraints, including data availability, high requirements computational power, validation challenges. This study introduces a comprehensive framework for assessment, leveraging open-source overcome these limitations. Central is development greenR R package an accompanying Shiny app, designed compute, visualize, analyze novel proximity-based green index individual segments. Beyond this, innovatively extends its analytical capability integrating accessibility analysis, Green View Index quantification as well introducing Space Similarity Index, metric that evaluates compares characteristics spaces across different regions. extension enriches proposed framework, providing not just measure proximity spaces, also insights into their spatial connectivity distribution. efficacy demonstrated studying patterns several cities, highlighting potential impact such citizens, planners, policy-makers. only advances our methodological approach quantifying provides practical tools metrics can inform sustainable planning policy decisions.

Language: Английский

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Examining the causal impacts of the built environment on cycling activities using time-series street view imagery

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 190, P. 104286 - 104286

Published: Oct. 21, 2024

Language: Английский

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Implementation and improvement of policies for building healthy cities in China

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 17, 2025

With the promotion of World Health Organization, China has also launched a healthy city construction campaign. However, needs to formulate series policies. How can current policy in be further improved provide basis for construction? Collected here are texts from Central People's Government and local government Republic on cities 2009 2023. This paper adopts tool analysis method design two-dimensional framework "policy tool-construction domain." There three types tools: demand-oriented, supply-oriented, environmental-oriented. The field is based five fields defined by WHO: population, health service, environment, culture, society. text was coded analyzed Nvivo software. According coding texts, among tools, supply-oriented policies account 60.5%, environmental 29.1%, demand-oriented 10.4%. In areas construction, environment accounted 23.7%, society 12.3%, services 39.1%, population 13%, culture 11.9%. From perspective tools have different emphases application tools. Currently, policy, used comprehensively China. proportion high, which emphasizes government's intervention neglects participation individuals social organizations. use not balanced some extent limits effect implementation strengthens overall policy.

Language: Английский

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A Complex Network Approach to Quantifying Flood Resilience in High-Density Coastal Urban Areas: A Case Study of Macau

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105335 - 105335

Published: Feb. 1, 2025

Language: Английский

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ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science

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

Published: March 20, 2025

Language: Английский

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A complex network analysis of urban human mobility in Tokyo

Travel Behaviour and Society, Journal Year: 2025, Volume and Issue: 40, P. 101020 - 101020

Published: March 24, 2025

Language: Английский

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Urbanity mapping reveals the complexity, diffuseness, diversity, and connectivity of urbanized areas

Geography and sustainability, Journal Year: 2024, Volume and Issue: 5(3), P. 357 - 369

Published: Sept. 1, 2024

There are urgent calls for new approaches to map the global urban conditions of complexity, diffuseness, diversity, and connectivity. However, existing methods mostly focus on mapping urbanized areas as bio physical entities. Here, based continuum urbanity framework, we developed an approach cross-scale from town city megaregion with different spatial resolutions using Google Earth Engine. This was multi-source remote sensing data, Points Interest – Open Street Map (POIs-OSM) big random forest regression model. is scale-independent revealed significant variations in urbanity, underscoring differences urbanization patterns across megaregions between rural areas. Urbanity observed transcending traditional boundaries, diffusing into settlements within non-urban locales. The finding communities far challenges gradient theory urban-rural development distribution. By livelihoods, lifestyles, connectivity simultaneously, maps present a more comprehensive characterization than that by land cover or population density alone. It helps enhance understanding beyond biophysical form. can provide multifaceted urbanization, thereby insights regional sustainability.

Language: Английский

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