Evidence map›Paper›PMID 32834303›Full record

ArticleComputers, environment and urban systems2020

Impact of extreme weather events on urban human flow: A perspective from location-based service data.

Zhenhua Chen, Zhaoya Gong, Shan Yang, Qiwei Ma, Changcheng Kan

Open access · greenAbstract read
In one paragraph

Article in Computers, environment and urban systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.7field-weighted citation impact, top 4% of its field
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

4 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Disruption of outdoor activities caused by wildfires increases disease circulation.medRxiv : the preprint server for health sciences · 2024
    Article
  3. Article
  4. 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

5 authors at 4 institutions in 3 countries.

Zhenhua ChenCity and Regional Planning, The Ohio State University, Columbus, OH, USA.
Zhaoya GongSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Shan YangCity and Regional Planning, The Ohio State University, Columbus, OH, USA.
Qiwei MaSchool of Architecture, Tsinghua University, Beijing, China.
Changcheng KanBaidu Online Network Technology (Beijing) Co., Ltd, Beijing, China.
The Ohio State University · USBaidu (China) · CNTsinghua University · CNUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the impact of extreme weather events on urban human flow disruptions using location-based service data obtained from Baidu Map. Utilizing the 2018 Typhoon Mangkhut as an example, the spatial and temporal variations of urban human flow patterns in Shenzhen are examined using GIS and spatial flow analysis. In addition, the variation of human flow by different urban functions (e.g. transport, recreational, institutional, commercial and residential related facilities) is also examined through an integration of flow data and point-of-interest (POI) data. The study reveals that urban flow patterns varied substantially before, during, and after the typhoon. Specifically, urban flows were found to have reduced by 39% during the disruption. Conversely, 56% of flows increased immediately after the disruption. In terms of functional variation, the assessment reveals that fundamental urban functions, such as industrial (work) and institutional - (education) related trips experienced less disruption, whereas the typhoon event appears to have a relatively larger negative influence on recreational related trips. Overall, the study provides implications for planners and policy makers to enhance urban resilience to disasters through a better understanding of the urban vulnerability to disruptive events.

Indexed as

AMOEBABaidu mapDisaster analysisLocation-based service dataUrban human flow

Identifiers

PMID32834303
PMCPMC7338278
OpenAlexW3040626849

What OpenQuestion holds

Textmetadata
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.