Evidence map›Paper›PMID 35502241›Full record

ArticleProcedia computer science2022

Pedestrian movement modelling for a commercial street considering COVID-19 social distancing strategies.

Md Jahedul Alam, Nuzaira Habib, Devin Holmes, Muhammad Ahsanul Habib

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Procedia computer science, 2022. 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.

Md Jahedul AlamPostdoctoral Research Associate, Dalhousie University, 5410 Spring Garden Road, Halifax B3H 4R2, Canada.
Nuzaira HabibResearch Assistant, Dalhousie Transportation Collaboratory, 5410 Spring Garden Road, Halifax B3H 4R2, Canada.
Devin HolmesGraduate Research Assistant, Dalhousie Transportation Collaboratory, 5410 Spring Garden Road, Halifax B3H 4R2, Canada.
Muhammad Ahsanul HabibProfessor, Dalhousie University, 5410 Spring Garden Road, Halifax B3H 4R2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research attempts to understand the impacts of social distancing on dense urban pedestrian environments through pedestrian movement simulations. It develops a pedestrian microsimulation modelling framework that evaluates three scenarios for a commercial street in the Halifax Regional Municipality (HRM). The Business-as-Usual scenario mimics pre-COVID conditions with no social distancing protocols. Pandemic

Indexed as

Active Transportation ImprovementsCOVID-19Pedestrian microsimulationSocial Distancing

Identifiers

PMID35502241
PMCPMC9044728

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.