Evidence map›Paper›PMID 41310032›Full record

ArticleScientific reports2025

Measuring the attractiveness of trip destinations based on human mobility data.

Keisuke Kondo

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

1 author.

Keisuke KondoResearch Institute of Economy, Trade and Industry, Chiyoda, Tokyo, 100-8901, Japan. kondo-keisuke@rieti.go.jp.

Funding

Japan Society for the Promotion of Science KAKENHI 21K01497Kobe City University's Urban Innovation Kobe (A22115)
6 · The paper itself

Abstract

This study proposes a novel concept of a regional attractiveness index based on human mobility flows. Assuming that individuals' mobility choice is based on utility maximization, this study aims to recover the attractiveness of trip destinations by estimating the gravity equation for interregional trip flows. Using mobility data from a person trip survey and mobile phone data in Japan, this study investigates whether different trip purposes (e.g., commuting to office and school, recreational trips, business trips, and returning home) and seasonal and tourism factors (e.g., holidays, events, and amusement facilities) can reveal spatial and temporal variations in the attractiveness of trip destinations. This study found that the proposed approach using interregional trip flows can effectively capture the extent to which trip destinations attract people. As real-time human mobility data become increasingly available, the new index of regional attractiveness is expected to become a key performance indicator for daily monitoring of urban and regional economies.

Indexed as

TransportationTravelCell PhoneHumansJapanExploratory spatial data analysisGravity equationHuman mobility dataPerson trip surveyRegional attractiveness index

Identifiers

PMID41310032
PMCPMC12748571

What OpenQuestion holds

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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.