Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review

S Wang, X Huang, P Liu, M Zhang, F Biljecki… - International Journal of …, 2024 - Elsevier
This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …

Using open data and deep learning to explore walkability in Shenzhen, China

X He, SY He - Transportation research part D: transport and …, 2023 - Elsevier
Developing more walkable environments plays an essential role in healthy-city planning.
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 …

Characterizing environmental pollution with civil complaints and social media data: A case of the Greater Taipei Area

M Guo, Y Lin, RJ Shyu, J Huang - Journal of Environmental Management, 2023 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Investigating the temporal dynamics of motor vehicle collision density patterns in urban road networks–A case study of New York

H Chang, CK Xu, T Tang - Journal of safety research, 2024 - Elsevier
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 …

Decoding consumer-centric transition to electric mobility based on sentiment, semantic and statistical analysis

A Pani, SN Balla, PK Sahu - Research in Transportation Business & …, 2023 - Elsevier
Climate change, carbon emissions, and energy resource depletion have become major
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 …

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 …