Evidence map›Paper›PMID 37389148›Full record

ArticleNational science review2023

Resilience patterns of human mobility in response to extreme urban floods.

Junqing Tang, Pengjun Zhao, Zhaoya Gong, Hongbo Zhao, Fengjue Huang, Jiaying Li, Zhihe Chen, Ling Yu, Jun Chen

Abstract read
In one paragraph

Article in National science review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

9 authors.

Junqing TangSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Pengjun ZhaoSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Zhaoya GongSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Hongbo ZhaoKey Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China.
Fengjue HuangSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Jiaying LiSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Zhihe ChenSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Ling YuSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Jun ChenKey National Geomatics Center of China, Beijing 100830, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale disasters can disproportionately impact different population groups, causing prominent disparity and inequality, especially for the vulnerable and marginalized. Here, we investigate the resilience of human mobility under the disturbance of the unprecedented '720' Zhengzhou flood in China in 2021 using records of 1.32 billion mobile phone signaling generated by 4.35 million people. We find that although pluvial floods can trigger mobility reductions, the overall structural dynamics of mobility networks remain relatively stable. We also find that the low levels of mobility resilience in female, adolescent and older adult groups are mainly due to their insufficient capabilities to maintain business-as-usual travel frequency during the flood. Most importantly, we reveal three types of counter-intuitive, yet widely existing, resilience patterns of human mobility (namely, 'reverse bathtub', 'ever-increasing' and 'ever-decreasing' patterns), and demonstrate a universal mechanism of disaster-avoidance response by further corroborating that those abnormal resilience patterns are not associated with people's gender or age. In view of the common association between travel behaviors and travelers' socio-demographic characteristics, our findings provide a caveat for scholars when disclosing disparities in human travel behaviors during flood-induced emergencies.

Indexed as

disaster resiliencehuman mobilitymobile phone dataurban floodZhengzhou flood

Identifiers

PMID37389148
PMCPMC10306362

What OpenQuestion holds

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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.