Discovering emerging trends and interdisciplinary mechanisms in urban studies and planning research using topic modelling 1991–2021

This study empirically maps interdisciplinary evolution in urban studies and planning through latent Dirichlet allocation analysis of 44,147 articles from 30 leading journals (1991–2021). We identify 12 research topics organised into three clusters and reveal three distinct interdisciplinary mechanisms: asymmetric knowledge flow where socio-political geography influences planning policy 2.3 times more than reciprocally, unexpected bridge topics with urban-rural development facilitating 54.2% of cross-topic engagement, and methodological integration through spatial analysis tools enabling collaboration across traditionally distinct domains. Temporal analysis reveals rising prominence of environmental sustainability and neighbourhood planning, whilst traditional spatial econometric approaches decline significantly. Co-occurrence network analysis quantifies increasing interconnectedness, with cross-topic authorship rising from 1.6 to 3.2 authors per publication, demonstrating collaborative mechanisms transcending disciplinary boundaries. These findings advance interdisciplinary theory by providing empirical evidence for knowledge synthesis frameworks, revealing how computational methods and collaborative networks serve as practical vehicles for disciplinary integration. The prominence of environmental management and urban-rural development provides data-driven support for contemporary planning paradigms including 15-min cities and Nature-based Solutions. This research contributes novel quantitative methods for mapping knowledge integration mechanisms, offering a replicable framework for understanding interdisciplinary evolution in response to complex societal challenges.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-03-14
DOI
https://doi.org/10.1057/s41599-026-06712-3
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovering emerging trends and interdisciplinary mechanisms in urban studies and planning research using topic modelling 1991–2021

Tianren Yang, Weipeng Deng, Sam K. S. Ho
Humanities and Social Sciences Communications
Computational and Text Analysis Methods
article

Discovering emerging trends and interdisciplinary mechanisms in urban studies and planning research using topic modelling 1991–2021

Tianren Yang, Weipeng Deng, Sam K. S. Ho
article en

Abstract

This study empirically maps interdisciplinary evolution in urban studies and planning through latent Dirichlet allocation analysis of 44,147 articles from 30 leading journals (1991–2021). We identify 12 research topics organised into three clusters and reveal three distinct interdisciplinary mechanisms: asymmetric knowledge flow where socio-political geography influences planning policy 2.3 times more than reciprocally, unexpected bridge topics with urban-rural development facilitating 54.2% of cross-topic engagement, and methodological integration through spatial analysis tools enabling collaboration across traditionally distinct domains. Temporal analysis reveals rising prominence of environmental sustainability and neighbourhood planning, whilst traditional spatial econometric approaches decline significantly. Co-occurrence network analysis quantifies increasing interconnectedness, with cross-topic authorship rising from 1.6 to 3.2 authors per publication, demonstrating collaborative mechanisms transcending disciplinary boundaries. These findings advance interdisciplinary theory by providing empirical evidence for knowledge synthesis frameworks, revealing how computational methods and collaborative networks serve as practical vehicles for disciplinary integration. The prominence of environmental management and urban-rural development provides data-driven support for contemporary planning paradigms including 15-min cities and Nature-based Solutions. This research contributes novel quantitative methods for mapping knowledge integration mechanisms, offering a replicable framework for understanding interdisciplinary evolution in response to complex societal challenges.

Humanities and Social Sciences Communications
University of Oxford (GB), City University of Hong Kong, Shenzhen Research Institute (CN), Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality (CN), University of Hong Kong (HK)
China Association for Science and Technology, National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Sustainable cities and communities
Openalex Percentile: Top 45%
Computational and Text Analysis Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.