On the opportunities and challenges of foundation models for geospatial artificial intelligence
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 …
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
[HTML][HTML] Urban traffic flow prediction techniques: A review
In recent decades, the development of transport infrastructure has had a great development,
although traffic problems continue to spread due to increase due to the increase in the …
although traffic problems continue to spread due to increase due to the increase in the …
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach
Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …
challenges of urban studies. In addition, exploring the relationship between urban functional …
[PDF][PDF] Natural language processing for urban research: A systematic review
M Cai - Heliyon, 2021 - cell.com
Natural language processing (NLP) has shown potential as a promising tool to exploit under-
utilized urban data sources. This paper presents a systematic review of urban studies …
utilized urban data sources. This paper presents a systematic review of urban studies …
Visual abstraction of large scale geospatial origin-destination movement data
A variety of human movement datasets are represented in an Origin-Destination (OD) form,
such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD …
such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD …
Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting
W Zhang, K Zhu, S Zhang, Q Chen, J Xu - Knowledge-Based Systems, 2022 - Elsevier
Traffic flow forecasting has always been a challenge owing to its complicated spatiotemporal
dependencies. Few of previous works can exploit the implicit interactions among traffic …
dependencies. Few of previous works can exploit the implicit interactions among traffic …
Visualizing and exploring POI configurations of urban regions on POI-type semantic space
POI configuration of a region indicates a combination of POI counts on various types inside
the region. Exploring POI configurations of urban regions facilitates to understand their …
the region. Exploring POI configurations of urban regions facilitates to understand their …
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks
Dynamic human activity intensity information is of great importance in many location-based
applications. However, two limitations remain in the prediction of human activity intensity …
applications. However, two limitations remain in the prediction of human activity intensity …
Simulating human mobility with a trajectory generation framework based on diffusion model
Most mobility modeling methods are designed to solve specific tasks, leading to questions
regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we …
regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we …
From motion activity to geo-embeddings: Generating and exploring vector representations of locations, traces and visitors through large-scale mobility data
A Crivellari, E Beinat - ISPRS International Journal of Geo-Information, 2019 - mdpi.com
The rapid growth of positioning technology allows tracking motion between places, making
trajectory recordings an important source of information about place connectivity, as they …
trajectory recordings an important source of information about place connectivity, as they …