Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

W Zhang, J Han, Z Xu, H Ni, H Liu, H Xiong - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment

F Xu, J Zhang, C Gao, J Feng, Y Li - arXiv preprint arXiv:2312.11813, 2023 - arxiv.org
Urban environments, characterized by their complex, multi-layered networks encompassing
physical, social, economic, and environmental dimensions, face significant challenges in the …

City Foundation Models for Learning General Purpose Representations from OpenStreetMap

P Balsebre, W Huang, G Cong, Y Li - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Pre-trained Foundation Models (PFMs) have ushered in a paradigm-shift in Artificial
Intelligence, due to their ability to learn general-purpose representations that can be readily …

Smart cities with deep edges

G White, S Clarke - ECML PKDD 2018 Workshops: Nemesis 2018 …, 2019 - Springer
With the advent of deep learning and new embedded devices capable of running these
models at the edge of the network there is potential for deep edges in IoT and smart cities …

Prospective for urban informatics

W Shi, M Goodchild, M Batty, Q Li, X Liu, A Zhang - Urban Informatics, 2022 - Springer
The specialization of different urban sectors, theories, and technologies and their confluence
in city development have led to a greatly accelerated growth in urban informatics, the …

Responsible Urban Intelligence: Towards a Research Agenda

R Cao, Q Gao, G Qiu - arXiv preprint arXiv:2208.04727, 2022 - arxiv.org
Acceleration of urbanisation is posing great challenges to sustainable development.
Growing accessibility to big data and artificial intelligence (AI) technologies have …

Towards automated urban planning: When generative and chatgpt-like ai meets urban planning

D Wang, CT Lu, Y Fu - arXiv preprint arXiv:2304.03892, 2023 - arxiv.org
The two fields of urban planning and artificial intelligence (AI) arose and developed
separately. However, there is now cross-pollination and increasing interest in both fields to …

Prediction of'artificial'urban archetypes at the pedestrian-scale through a synthesis of domain expertise with machine learning methods

GD Simons - arXiv preprint arXiv:2106.15364, 2021 - arxiv.org
The vitality of urban spaces has been steadily undermined by the pervasive adoption of car-
centric forms of urban development as characterised by lower densities, street networks …

On the opportunities and challenges of foundation models for geospatial artificial intelligence

G Mai, W Huang, J Sun, S Song, D Mishra… - arXiv preprint arXiv …, 2023 - arxiv.org
Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …

Unveiling the potential of machine learning applications in urban planning challenges

S Koutra, CS Ioakimidis - Land, 2022 - mdpi.com
In a digitalized era and with the rapid growth of computational skills and advancements,
artificial intelligence and Machine Learning uses in various applications are gaining a rising …