ArticleScientific reports2025
Analysis of the matching of community vitality and service facility supply and demand in the pedestrian bridge areas of Beijing.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Pedestrian bridge areas are important because they play a unique role in connecting fragmented urban areas and accommodating high pedestrian flow in dense city environments. This study takes communities within the Fifth Ring Road of Beijing as an example and constructs a comprehensive evaluation framework based on the match between pedestrian bridge areas and the supply and demand of public service facilities. The aim is to explore the degree of alignment between community demand for service facilities and their supply and further analyze the types of service facilities that influence changes in community vitality. The study builds a Spatiotemporal Vitality Index model to examine the spatiotemporal variation characteristics of community populations and calculate the demand for service facilities. By employing coupling functions, it computes the supply of service facilities and determines the relationship between community activities and the supply of service facilities. Furthermore, the Random Forest and SHapley Additive exPlanations methods were further used to analyze the service facility factors affecting changes in community vitality. The research findings indicate: (1) the vitality of 595 community populations shows a pattern of Increase-Decrease-Stabilization-Increase-Decrease, with morning peaks concentrated around commercial and transportation hubs, while evening peaks appear in residential areas due to the separation of work and residence. (2) The coupling degree between community vitality and service facilities reflects the imbalance in regional functional development and inadequate coordination in some areas, affecting supply-demand alignment. (3) Pedestrian network density, cultural facility density and public facility density are key factors driving the enhancement of community vitality. The research results provide a quantitative basis for urban planning departments and policy-makers and offer data analysis methods for functional matching analysis in similar cities and regions, which are of positive significance for promoting urban sustainable development and improving residents' quality of life.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.