Evidence map›Paper›PMID 37758828›Full record

ArticleScientific reports2023

A comprehensive walkability evaluation system for promoting environmental benefits.

Ilho Jeong, Minje Choi, Juhyeon Kwak, Donggyun Ku, Seungjae Lee

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ilho JeongDepartment of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, South Korea.
Minje ChoiDepartment of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, South Korea.
Juhyeon KwakDepartment of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, South Korea.
Donggyun KuUniversity of Cambridge, Cambridge, United Kingdom.
Seungjae LeeDepartment of Transportation Engineering, University of Seoul, Seoul, South Korea. sjlee@uos.ac.kr.

Funding

Korea ministry of land, infrastructure, and transport (MOLIT) Innovative Talent Education Program for Smart CityNational Research Foundation of Korea NRF-2017R1D1A1B06032857National Research Foundation of Korea NRF-2022R1A6A3A01087328
6 · The paper itself

Abstract

Pedestrian-oriented urban strategies such as the Paris 15-minute City are needed to respond to the global boiling. Quantitative evaluation of pedestrian-oriented urban objectives is important for various cities, and in this paper, a walkability evaluation system for the advanced model is developed considering the characteristics of a large city. The system calculates the walkability of Seoul. The evaluation system uses the Betweenness index as a weight in the urban network analysis. Considering stations with a high betweenness in urban traffic is essential for evaluating a pedestrian-oriented metropolis. Our findings in this study are that the UNA index in WES is critical for transit-oriented, walkable cities. The large city needs to find the location for mobility hubs or stations to observe the last mile. Installing a mobility hub or station at a high-value location in the city center is functionally important. In a pedestrian-oriented city, citizens can walk and bike the last mile in a busy city center. Walkable cities can encourage active transport and ultimately create more sustainable and environmentally friendly transportation systems. This study offers valuable insights into pedestrian infrastructure, urban systems, and policies that promote green transportation.

Identifiers

PMID37758828
PMCPMC10533864

What OpenQuestion holds

Textmetadata
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.