Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 119, P. 106062 - 106062
Published: Dec. 15, 2024
Language: Английский
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
International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 127, P. 103687 - 103687
Published: Feb. 1, 2024
For many years, urban sciences relied heavily on traditional, authoritative data sources. However, a paradigm shift has occurred recently with the advent of citizen-driven contribution. This evolution in acquisition for science is attributable to advancements positioning and navigation technologies, widespread use digital devices, rise Web 2.0, enhanced broadband communications, refined management techniques. The significance crowdsourced geospatial realm now widely acknowledged. A diverse array novel sources been increasingly gaining prominence. These include, but are not limited to, social media platforms, street view images, GPS signals from cellphones, smartphone applications, transaction records, online mapping services, sensor public. innovative approach collection, fuelled by contributions individuals around globe, opens up possibilities accessing that would otherwise remain untapped. editorial aims offer unique perspective how revolutionizing field sciences. We categorize studies into five primary areas: 1) tourism, 2) visuals perception, 3) infrastructure functionality, 4) mobility transportation, 5) miscellaneous, further discuss challenges opportunities lie ahead future research this field.
Language: Английский
Citations
8
Geo-spatial Information Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: Jan. 17, 2025
This systematic review explores the utilization of crowdsourcing for geoinformation in enhancing awareness and mitigating terrorism-related disasters. Out 519 studies identified database search, 108 were deemed eligible analysis. We focused on articles employing various forms platforms, such as Twitter (now known X), Facebook, Telegram, across three distinct phases disasters: monitoring detection, onset, post-incident Notably, we placed particular emphasis integration Machine Learning (ML) algorithms studying crowdsourced terrorism to assess current state research propose future directions. The findings revealed that emerged predominant platform information. Despite prevalence natural language processing data mining, majority did not incorporate ML their analyses. preference qualitative methods can be attributed multifaceted nature terrorism, spanning security, governance, politics, religion, law. Our advocacy is increased from domains geography, earth observation, big data. Simultaneously, encourage advancements existing enhance accurate real-time detection planned onset
Language: Английский
Citations
1
Computational Urban Science, Journal Year: 2025, Volume and Issue: 5(1)
Published: Jan. 26, 2025
Abstract The Spatial Data Lab (SDL) project is a collaborative initiative by the Center for Geographic Analysis at Harvard University, KNIME, Future Lab, China Institute, and George Mason University. Co-sponsored NSF IUCRC Spatiotemporal Innovation Center, SDL aims to advance applied research in spatiotemporal studies across various domains such as business, environment, health, mobility, more. focuses on developing an open-source infrastructure data linkage, analysis, collaboration. Key objectives include building services, reproducible, replicable, expandable (RRE) platform, workflow-driven analysis tools support case studies. Additionally, promotes science training, cross-party collaboration, creation of geospatial that foster inclusivity, transparency, ethical practices. Guided academic advisory committee world-renowned scholars, laying foundation more open, effective, robust scientific enterprise.
Language: Английский
Citations
0
Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 7, 2025
The urban digital twin (UDT) is derived from the original digital-twin concept of a representation physical assets. This has left social component city underrepresented in UDTs. Here, we discuss what this means for current maturity stage UDTs and why better representing human behaviour may diversify possibilities to support different types planning. We contemplate operationalizing by agent-based models (ABMs) integrated with illustrate two concrete examples simulating stress safety perception public spaces. One example shows idea UDT as live data repository ABMs, ABM adding dynamism, other feedback between city, UDT. several epistemological, conceptual, technical, ethical challenges that be involved integration. conclude future agenda promote (1) abandonment vision highly detailed mirror (2) fit sectoral (strategic) addition operational planning, (3) inclusion behavioural processes incorporating (4) culture cumulative research using structured guided frameworks reusable building blocks, (5) ABMs explicit purposes allow fit-for-purpose selection UDTs, (6) explicitly addressing epistemic, normative, moral responsibilities. Thus, though including agents at some point solution (currently lacking) perspective on role humans shaping being shaped reconsiderations communities need take place first.
Language: Английский
Citations
0
Urban Science, Journal Year: 2025, Volume and Issue: 9(4), P. 130 - 130
Published: April 17, 2025
Data on pedestrian infrastructure is essential for improving the mobility environment and planning efficiency. Although governmental agencies are responsible capturing data mostly by field audits, most have not completed such audits. In recent years, virtual auditing based street view imagery (SVI), specifically through geo-crowdsourcing platforms, offers a more inclusive approach to movement planning, but concerns about quality reliability of opensource geospatial pose barriers use governments. Limited research has compared in relation traditional government approaches. this study, we compare from an sidewalk audit platform (Project Sidewalk) with data. We focus neighborhoods diverse walkability income levels city Seattle, Washington DuPage County, Illinois. Our analysis shows that Project Sidewalk can be reliable alternative features. The agreement different features ranges 75% signals complete (100%) missing sidewalks. However, variations measuring severity challenges dataset comparisons.
Language: Английский
Citations
0
ACM Journal on Computing and Sustainable Societies, Journal Year: 2025, Volume and Issue: unknown
Published: April 18, 2025
A prominent approach in remote sensing poverty prediction uses deep learning satellite imagery with daytime and nighttime light (NTL). While results yield acceptable average predictions, certain areas consistently perform poorly. For high-stakes aid allocation decisions, however, achieving near-perfect predictions across all regions is crucial. To address this, we apply explainability techniques to evaluate vision models, enhance multimodal architectures, investigate challenging cases. Our diagnostic analysis shows that fine-tuning NTL tends fail where poorly reflects wealth. Integrated Gradients Guided Grad-CAM also reveal VGG, ResNet, ViT architectures tend focus on brightly lit features, such as roads buildings. complement a model integrates non-visual features. Metrics Twitter activity, distance from residential roads, internet speed are especially predictive. Among ten tested the Stack Ensemble Late Stage model, combining pre-trained weights, data, transfer learning, achieves best performance high accuracy low error variance. Qualitative of difficult-to-predict highlights challenges modeling wealth due inherent aleatoric uncertainty. Two core issues, spatial inequality small presence rare underscore need for principled cluster segmentation.
Language: Английский
Citations
0
Annals of GIS, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19
Published: April 25, 2025
Language: Английский
Citations
0
Annals of GIS, Journal Year: 2024, Volume and Issue: 30(2), P. 181 - 198
Published: April 2, 2024
The rise in human mobility data recent years provides a new frontier to understanding the spatiotemporal dynamics of urban parks. These offer profound merit study how accessible parks are through real-time analytics individual travel patterns and locations. This systematically reviewed 46 peer-reviewed publications from Web Science Academic Search Complete databases relevant park accessibility measures. aims provide comprehensive quantitative evaluation utilization field research. objective is pursued systematic examination existing literature within this research domain. We summarize types datasets modelling tasks adopted. Meanwhile, we grouped methodological/thematic frameworks empirical use into seven categories: 1) inequality inequity level, 2) users' perception exposure 3) frequency variations visitations, 4) service area or effective radius, 5) happiness sentiment 6) mode choice trip assignment, 7) characteristics. Additionally, highlighted obstacles integrating engaged discussion surrounding prominent ethical dilemmas related big data.
Language: Английский
Citations
3
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, Journal Year: 2024, Volume and Issue: X-4/W5-2024, P. 195 - 202
Published: June 27, 2024
Abstract. This research examines the interplay of outdoor thermal comfort, walkability, and three-dimensional geospatial landscape within cities. Employing advanced data collection methods, including smart wearables street view imagery (SVI), we conduct a comprehensive exploration integrating heterogeneous sensor computer vision in an urban digital twin (UDT) develop. We focus on integrated walk concept, where participants, equipped with wearables, contribute health metrics real-time sensation feedback while walking along selected routes for which collect detailed 3D geoinformation, turn provides foundation understanding improving comfort walkability Our study not only addresses integration, but also underscores transformative role analytics UDT deciphering how morphology influences experiences. While growing accessibility wearable devices facilitates work such as ours, highlight challenges collecting diverse participant imperative need specialized expertise vision. contributes to (1) twins, providing novel combination integration new use case, (2) climatology, advancing our relationship among microclimate, environment, comfort. Beyond theoretical contributions, study’s practical significance is revealed development accurate predictive models promising improvements quality life, pronouncing important geoinformation domain.
Language: Английский
Citations
2