"Next-Generation GeoAI for Sustainable Urban Development: Methods, Data, and Applications"

Call for Papers-"Next-Generation GeoAI for Sustainable Urban Development: Methods, Data, and Applications"

Journal: City and Environment Interactions

Publisher: Elsevier

Submission Deadline: 28 Feb 2027

Key Requirements:

• GeoAI methodological innovation + real-world urban applications

• VSI article type selection CRITICAL during submission

• Open science + reproducibility frameworks prioritized

Overview

GeoAI revolutionizes urban sustainability combining spatial ML + satellite data + digital twins for climate adaptation, environmental monitoring, equitable planning. Addresses 68% global urbanization by 2050 through explainable AI + multi-scale modeling + participatory data. First open-access issue operationalizing Bayesian GeoAI + XAI for evidence-based resilient city planning beyond descriptive analytics.

Key Research Themes

GeoAI Methodological Advances:

• Spatial deep learning + graph-based urban models

• Bayesian/probabilistic uncertainty quantification

• Explainable AI for planning decisions

Remote Sensing Applications:

• Satellite data fusion + environmental change detection

• Multi-resolution temporal urban analytics

Urban Digital Twins:

• Real-time predictive modeling + scenario testing

• GeoAI-simulation coupling for resilience planning

Human-Centric GeoAI:

• Citizen sensing + equity-aware urban analytics

• Socio-environmental vulnerability modeling

Submission Instructions

1. Access Editorial Manager
2. Register/Login (new users create Editorial Manager account)
3. Click "Submit New Manuscript" → complete submission process
4. CRITICAL: Select "VSI: GeoAI for Sustain. Cities" from Article Type dropdown
5. Contact: Executive Guest Editor Pengyuan Liu (pengyuan.liu@glasgow.ac.uk) for inquiries
6. Format strictly per Author Guidelines

Timeline: Opens 01 May 2026 | Closes 28 Feb 2027

Guest Editor Team

• Dr. Pengyuan Liu, PhD (Executive), University of Glasgow, UK (pengyuan.liu@glasgow.ac.uk)

• Dr. Binyu Lei, PhD, University of Birmingham Dubai, UAE

• Dr. Meiliu Wu, PhD, University of Glasgow, UK

• Dr. Matias Quintana, PhD, Singapore-ETH Centre, Singapore

• Dr. Junjie Luo, PhD, Zhejiang Agriculture and Forestry University, China

Why This Issue Matters

$100T urban infrastructure investment by 2050 requires GeoAI evidence base for climate-resilient planning. 20% citation advantage via special issue visibility accelerates SDG 11 implementation. Addresses urban data bias + reproducibility crisis through open geospatial frameworks. Positions researchers at forefront of digital twin cities + AI urban analytics revolution.

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