Evidence map›Paper›PMID 34786335›Full record

ArticleCase studies on transport policy2021

Assessment of COVID-19 induced travel pattern changes in Dhaka City.

Tonmoy Paul, Abu Bakar Siddik Ornob, Rohit Chakraborty, Nafis Anwari

Abstract read
In one paragraph

Article in Case studies on transport policy, 2021. 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.

  1. Article
  2. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    Article
  3. Article
  4. Article
  5. Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh.Transportation research interdisciplinary perspectives · 2022
    Article
  6. 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

4 authors.

Tonmoy PaulDepartment of Civil Engineering, Ahsanullah University of Science and Technology (AUST), Dhaka 1208, Bangladesh.
Abu Bakar Siddik OrnobDepartment of Civil Engineering, Ahsanullah University of Science and Technology (AUST), Dhaka 1208, Bangladesh.
Rohit ChakrabortyDepartment of Civil Engineering, Ahsanullah University of Science and Technology (AUST), Dhaka 1208, Bangladesh.
Nafis AnwariDepartment of Civil Engineering, Ahsanullah University of Science and Technology (AUST), Dhaka 1208, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to Coronavirus 2019 (COVID-19) pandemic, Bangladesh enforced social distancing measures to mitigate the virus transmission rate through lockdowns. However, it is challenging for people to follow through and stay home in developing nations where socio-economic conditions are divergent from developed countries. This research aims to investigate COVID-19 induced travel pattern changes of residents and significant demographic factors affecting the trip generation in Dhaka City, the most densely populated Bangladeshi city. A questionnaire survey was used to extract information on demographic characteristics of respondents in Dhaka City and their travel patterns in the pre-pandemic era and during the pandemic. Analyses reveal striking differences in work trips except for workers and craftsmen. The use of telemedicine facilities is noticeable. Preference for public transport has decreased yet a decent percentage (9%) of people use buses during the pandemic. However, non-motorized modes are also very popular (19.93%) in the pandemic. The findings offer major implications for transportation planners and policymakers on how to dynamically plan for such crisis by combining a range of strategies so that safe and sustainable urban mobility and reduction of unnecessary travel demand can be ensured.

Indexed as

COVID-19Ordinal Logistic RegressionPandemicTravel BehaviorTravel Characteristics

Identifiers

PMID34786335
PMCPMC8588734

What OpenQuestion holds

Textmetadata
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Registered trials

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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.