Are Londoners Getting Healthier?

TY - CHAP

T1 - Are Londoners Getting Healthier?

AU - Li, Yijing

AU - Tan, Jessie

AU - chang, xiangbo

AU - Chen, Xiaohui

N1 - Publisher Copyright: © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

PY - 2025/4/3

Y1 - 2025/4/3

N2 - It utilised urban data from multiple sources, to map out the physical health and mental health patterns in London over space and time. On basis of recognising the spatial patterns trajectory changes, obesity among adults and children in London areas had been investigated with selected demographic, socio-economic and environmental factors, to identify the most influential factors in all, and for local community; similarly, workflow had been again designed to investigate the influential factors for mental health prevalence as well. Upon comparing the selected models, models considering neighbourhood spillover effect has been found to be the optimal, to identify significantly influential factors on urban health, such as age group, green space access, household deprivation, income deprivation and air quality. The findings underscore the necessity for targeted, location-specific public health interventions to effectively combat obesity; highlight the importance of spatial heterogeneity, o ffering detailed insights into regional variations; and suggest tailored strategies for public health policies. This work fills a critical gap and demonstrates the need for geographically informed public health strategies.

AB - It utilised urban data from multiple sources, to map out the physical health and mental health patterns in London over space and time. On basis of recognising the spatial patterns trajectory changes, obesity among adults and children in London areas had been investigated with selected demographic, socio-economic and environmental factors, to identify the most influential factors in all, and for local community; similarly, workflow had been again designed to investigate the influential factors for mental health prevalence as well. Upon comparing the selected models, models considering neighbourhood spillover effect has been found to be the optimal, to identify significantly influential factors on urban health, such as age group, green space access, household deprivation, income deprivation and air quality. The findings underscore the necessity for targeted, location-specific public health interventions to effectively combat obesity; highlight the importance of spatial heterogeneity, o ffering detailed insights into regional variations; and suggest tailored strategies for public health policies. This work fills a critical gap and demonstrates the need for geographically informed public health strategies.

UR - http://www.scopus.com/inward/record.url?scp=105003639568&partnerID=8YFLogxK

U2 - 10.5220/0013203300003935

DO - 10.5220/0013203300003935

M3 - Conference paper

VL - 1

T3 - International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM - Proceedings

SP - 15

EP - 26

BT - Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2025

A2 - Lucas, Richard

A2 - Ragia, Lemonia

CY - Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management GISTAM - Volume 1

T2 - GISTAM

Y2 - 1 April 2025 through 3 April 2025

ER -