Evidence map›Paper›PMID 39524316›Full record

ArticleComputational urban science2024

Human Dynamics Research in GIScience: challenges and opportunities.

Shih-Lung Shaw, Xinyue Ye, Michael Goodchild, Dan Sui

Abstract read
In one paragraph

Article in Computational urban science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Generating conceptual landscape design via text-to-image generative AI model.Environment and planning. B, urban analytics and city science · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shih-Lung ShawDepartment of Geography & Sustainability, University of Tennessee, Knoxville, USA.
Xinyue YeDepartment of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications, and Technology, Texas A&M University, College Station, USA.ORCID 0000-0001-8838-9476
Michael GoodchildDepartment of Geography, University of California, Santa Barbara, USA.
Dan SuiOffice of Senior Vice President for Research and Innovation, Virginia Tech, Blacksburg, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Symposium on Human Dynamics Research, first organized at the 2015 AAG Meeting in Chicago, celebrated its 10th anniversary at the 2024 AAG Meeting in Honolulu, marking a decade of transformative advancements in the field. Over the past decade, the focus of human dynamics research has shifted from traditional spatial-temporal analyses to sophisticated modeling of human behavior in a hybrid physical-virtual world. This evolving field now examines the intricate interdependencies between physical and digital environments, addressing critical issues such as urban resilience, public health, social equity, and community sustainability. The symposium emphasized the growing importance of interdisciplinary collaboration, advanced data-driven analytical platforms, and innovative theoretical frameworks to better understand human interactions across these spaces. As human dynamics continue to shape global urban systems, these advancements are pivotal for future research and real-world problem-solving, offering novel insights into the interconnectedness of mobility, technology, and societal well-being in a rapidly changing world.

Indexed as

Analytical platformsEthicsHuman dynamicsHybrid physical-virtual world

Identifiers

PMID39524316
PMCPMC11541281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.