Evidence map›Paper›PMID 39493520›Full record

ArticleData in brief2024

Aggregated hedonic dataset with a green index: Busan, South Korea.

Sihyun An, Seongeun Bae, Yena Song, Kwangwon Ahn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. 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

4 authors.

Sihyun AnDepartment of Industrial Engineering, Yonsei University, Seoul 03722, South Korea.
Seongeun BaeDepartment of Industrial Engineering, Yonsei University, Seoul 03722, South Korea.
Yena SongDepartment of Geography, Chonnam National University, Gwangju 61186, South Korea.
Kwangwon AhnDepartment of Industrial Engineering, Yonsei University, Seoul 03722, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We provide an aggregated dataset for investigating the association between hedonic variables and property prices in the Busan Metropolitan City of South Korea. This hedonic dataset includes various factors that influence property prices such as property characteristics, environmental amenities, local built environments, local demographic characteristics, and seasonal controls. In this dataset, we introduce the green index, which quantifies the degree of urban street greenness exposed to residents and pedestrians using images from Google Street View. In addition, the spatial interpolation method is employed to resolve the nonuniform distribution issue of the source images. To encourage the reusability of the dataset, we provide data and code files in a convenient manner. Therefore, the aggregated hedonic dataset can be readily benchmarked in property appraisal and urban studies and utilized in geographic information system fields.

Indexed as

Economic impactGreennessHousing priceReal estateSpatial interpolation

Identifiers

PMID39493520
PMCPMC11528685

What OpenQuestion holds

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LicenceCC BY-NC
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.