Evidence map›Paper›PMID 35789810›Full record

ArticleComputational urban science2022

Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future.

Achilleas Psyllidis, Song Gao, Yingjie Hu, Eun-Kyeong Kim, Grant McKenzie, Ross Purves, May Yuan, Clio Andris

Abstract read
In one paragraph

Article in Computational urban science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. POIFormer: A Transformer-Based Framework for Accurate Point-of-Interest Attribution.Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems · 2025
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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

8 authors.

Achilleas PsyllidisFaculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, Delft, 2628CE the Netherlands.ORCID 0000-0002-3918-1545
Song GaoDepartment of Geography, University of Wisconsin, Madison, USA.
Yingjie HuDepartment of Geography, University at Buffalo, Buffalo, USA.
Eun-Kyeong KimDepartment of Geography, University of Zurich, Zurich, Switzerland.
Grant McKenzieDepartment of Geography, McGill University, Montreal, Canada.
Ross PurvesDepartment of Geography, University of Zurich, Zurich, Switzerland.
May YuanSchool of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, USA.
Clio AndrisSchool of City & Regional Planning and School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this commentary, we describe the current state of the art of points of interest (POIs) as digital, spatial datasets, both in terms of their quality and affordings, and how they are used across research domains. We argue that good spatial coverage and high-quality POI features - especially POI category and temporality information - are key for creating reliable data. We list challenges in POI geolocation and spatial representation, data fidelity, and POI attributes, and address how these challenges may affect the results of geospatial analyses of the built environment for applications in public health, urban planning, sustainable development, mobility, community studies, and sociology. This commentary is intended to shed more light on the importance of POIs both as standalone spatial datasets and as input to geospatial analyses.

Indexed as

Geographic RepresentationPlacePoints of InterestSpatial Data

Identifiers

PMID35789810
PMCPMC9239975

What OpenQuestion holds

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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.