Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
Using open data and deep learning to explore walkability in Shenzhen, China
Developing more walkable environments plays an essential role in healthy-city planning.
Planners often assess the typical walkability framework from a geographic perspective …
Planners often assess the typical walkability framework from a geographic perspective …
Weibo users and Academia's foci on tourism safety: Implications from institutional differences and digital divide
L Zeng, RYM Li, H Zeng - Heliyon, 2023 - cell.com
Tourism safety is essential for tourists and tourism practitioners. This study conducted a
bibliometric analysis using VOSviewer and CiteSpace for 2018 articles indexed on the Web …
bibliometric analysis using VOSviewer and CiteSpace for 2018 articles indexed on the Web …
Characterizing environmental pollution with civil complaints and social media data: A case of the Greater Taipei Area
Environmental pollution is a major cause of nuisance and ill health among urban residents.
Complaints are traditionally self-reported through phone-based systems. Social media …
Complaints are traditionally self-reported through phone-based systems. Social media …
Leveraging social media as a source of mobility intelligence: An NLP-based approach
T Fontes, F Murçós, E Carneiro… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
This work presents a deep learning framework for analyzing urban mobility by extracting
knowledge from messages collected from Twitter. The framework, which is designed to …
knowledge from messages collected from Twitter. The framework, which is designed to …
Evaluation system for urban traffic intelligence based on travel experiences: A sentiment analysis approach
S Gao, Q Ran, Z Su, L Wang, W Ma, R Hao - Transportation Research Part …, 2024 - Elsevier
Precise and comprehensive evaluation of urban traffic intelligence plays a vital role in the
development of intelligent transportation systems. However, the majority of existing …
development of intelligent transportation systems. However, the majority of existing …
[HTML][HTML] Investigating the temporal dynamics of motor vehicle collision density patterns in urban road networks–A case study of New York
Introduction Motor vehicle collisions are a leading source of mortality and injury on urban
highways. From a temporal perspective, the determination of a road segment as being …
highways. From a temporal perspective, the determination of a road segment as being …
Decoding consumer-centric transition to electric mobility based on sentiment, semantic and statistical analysis
Climate change, carbon emissions, and energy resource depletion have become major
concerns worldwide. The transportation sector is a primary target in various political and …
concerns worldwide. The transportation sector is a primary target in various political and …
Road-Related Information Mining from Social Media Data: A Joint Relation Extraction and Entity Recognition Approach
L Yu, D Li - Buildings, 2022 - mdpi.com
Social media data have been gradually regarded as a prospective social sensor in the
transportation domain for capturing road conditions. Most existing social media data-based …
transportation domain for capturing road conditions. Most existing social media data-based …
Enhancing decision-making in transportation management: A comparative study of text classification models
E Carneiro, T Fontes, RJF Rossetti… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Machine learning algorithms offer the capability to analyze large volumes of real-time data,
providing transport authorities with valuable insights into traffic conditions, congestion …
providing transport authorities with valuable insights into traffic conditions, congestion …