Evidence map›Paper›PMID 41605978›Full record

ArticleScientific reports2026

The dynamics of bicycles for disaster recovery and relief.

Qianli Qiu, Chen Chen, Katherine Idziorek, Stephen D Wong

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qianli QiuSchool of Fire, Construction, and Emergency Management, Oklahoma State University, Stillwater, 74078, USA.
Chen ChenSchool of Fire, Construction, and Emergency Management, Oklahoma State University, Stillwater, 74078, USA. chen.chen10@okstate.edu.
Katherine IdziorekDepartment of Earth, Environmental, and Geographical Sciences, University of North Carolina at Charlotte, Charlotte, 28223, USA.
Stephen D WongCivil and Environmental Engineering Department, University of Alberta, Edmonton, T6G 1H9, Canada.

Funding

National Science Foundation #2242719
6 · The paper itself

Abstract

Micromobility offers a potential pathway to strengthen urban disaster resilience by enabling the distribution of emergency supplies when infrastructure or transportation networks are compromised. This study examines the viability of micromobility vehicles for post-disaster relief via agent-based modeling and simulations in Stillwater, Oklahoma. Focusing on the early recovery phase with exclusive micromobility deployment, three operational variables are evaluated: deployment rate, load capacity, and per capita supply allocation. The analysis reveals that optimal efficiency occurs when 2% of the population participates in distribution efforts, each vehicle transports 18 kg loads, and deliverers provide 4 kilograms of supplies per community member per delivery. The results indicate that a relatively small but dedicated and efficient group of residents could achieve feasible recovery processes in a small city using solely micromobility. To better support communities, the research suggests that (1) micromobility be integrated into disaster relief plans and processes; (2) local cycling organizations be valued as key partners for disaster resource distribution; and (3) human-powered vehicles offer a flexible and nimble alternative for effective response in select situations. This research contributes to the emergency management literature by quantifying operational thresholds and demonstrating micromobility's feasibility as a supplemental disaster response mechanism when conventional systems fail.

Indexed as

BicyclingDisaster PlanningDisastersRelief WorkHumansOklahomaAgent-based modelingCommunity resilienceDisaster recoveryMicromobility

Identifiers

PMID41605978
PMCPMC12855197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.