Evidence map›Paper›PMID 42028405›Full record

ArticlePatterns (New York, N.Y.)2026

Promoting sustainable human mobility for income segregation mitigation.

Yong Chen, Chenlei Liao, Zeen Cai, Wanru Wang, Yingji Xia, Xiqun Michael Chen, Jianjun Wu, Ziyou Gao

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2026. 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. 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

8 authors.

Yong ChenSchool of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Chenlei LiaoInstitute of Intelligent Transportation Systems, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
Zeen CaiInstitute of Intelligent Transportation Systems, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
Wanru WangSchool of Management, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Yingji XiaInstitute of Intelligent Transportation Systems, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
Xiqun Michael ChenInstitute of Intelligent Transportation Systems, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
Jianjun WuSchool of Economics and Management, Dalian University of Technology, Dalian 116024, China.
Ziyou GaoSchool of Systems Science, Beijing Jiaotong University, Beijing 100044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unraveling urban income segregation fosters social cohesion, urban sustainability, and equitable access to public resources and opportunities for all socioeconomic groups. Here, we show that locations with different segregation levels exhibit biased collective mobility patterns, tending to visit locations with lower segregation levels, which escalate with city size and infrastructure accessibility, and cannot be explained solely by distance and population. Using 1.4 million data points on human mobility, socioeconomic factors, and environmental pollution from 16,093 census tracts in 10 large US cities, we introduce the segregation visitation index to quantify this tendency and develop a human mobility model incorporating segregation constraints and a transfer ensemble optimization component, providing a structural interpretation for the discovered biased mobility. Our results reveal the intricate interplays among urban income segregation, mobility, and environmental exposure, emphasizing the importance of accounting for location-specific mobility differences in developing sustainable income segregation mitigation strategies.

Indexed as

air pollutionhuman mobilityincome segregationinequalitytravel behaviorurban sustainability

Identifiers

PMID42028405
PMCPMC13100684

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.