Evidence map›Paper›PMID 41688557›Full record

ArticleScientific reports2026

Measuring spatial equity between metro accessibility and public service demand in Shanghai using a data-driven framework.

Pei Jiang, Yawen Liu, Xuewen Shi, Hui Zhuo, Yuntao Liu, Min Erin Fu, Siqi Lin, Shijun Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

8 authors.

Pei JiangCollege of Public Administration and Law, Hunan Agricultural University, Changsha, 410128, China.
Yawen LiuShenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd., Shenzhen, 518100, China.
Xuewen ShiShenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd., Shenzhen, 518100, China.
Hui ZhuoShenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd., Shenzhen, 518100, China.
Yuntao LiuShenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd., Shenzhen, 518100, China.
Min Erin FuCities Planning & Design, Ove Arup Group Limited, Leeds, LS1 4AP, UK.
Siqi LinCollege of Public Administration and Law, Hunan Agricultural University, Changsha, 410128, China. linsiqi@stu.hunau.edu.cn.
Shijun ChengBeijing Municipal Transportation Operations Coordination Center, Beijing Municipal Commission of Transport, Beijing, 101160, China.

Funding

the Education and Teaching Reform Project of Hunan Urban Professional College DS2025JG008
6 · The paper itself

Abstract

Urban metro systems play a central role in shaping mobility opportunities and access to essential public services, yet these benefits are not always shared equitably across cities. This study evaluates equitable mobility in Shanghai by examining how metro-based accessibility to public services aligns with actual passenger demand. We develop a multidimensional accessibility index for each station based on travel time to diverse public services and integrate it with passenger flow data to construct a local alignment index. A Lorenz curve and Gini coefficient capture system-wide distributional patterns. The analysis shows clear and persistent inequities: central stations maintain strong alignment between accessibility and demand, while many peripheral stations consistently face high demand but limited access. The system-wide Gini coefficient of 0.348 reflects a notable imbalance in the distribution of accessibility benefits. These results highlight inequitable spatial pattern embedded in the metro network's spatial design. The study introduces a replicable, behaviour-sensitive framework that links actual mobility patterns with public service accessibility. It also provides actionable evidence for spatial-equity-oriented metro planning, emphasizing the need for targeted improvements in underserved areas and stronger coordination between land-use and transit development. Together, these contributions support more inclusive and equitable urban mobility planning.

Indexed as

Big-data-driven assessmentDemand patternsEquitable mobilityMetro accessibilitySmart card dataSupply-demand alignment

Identifiers

PMID41688557
PMCPMC12993062

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.