Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data

The Winter Olympic Games stimulate significant infrastructure development, yet post-Games venue utilization remains a pressing challenge. Traditional survey-based assessments are often resource-intensive and lack the capacity for continuous, large-scale monitoring. This study employs nighttime light (NTL) remote sensing data to analyze 209 Winter Olympic Game venues, utilizing time series analysis, change point detection, and seasonal decomposition. Results indicate that 32.06% of venues exhibit a significant increase in activity, while 12.92% experience a decline significantly. Two distinct utilization patterns emerge: outdoor sports venues for pre-2000 Games are more likely to face post-Games underutilization due to geographic isolation and high maintenance costs, whereas urban indoor venues can sustain long-term use through multi-purpose adaptability and accessibility. The findings confirm NTL data as an effective real-time monitoring tool, supporting data-driven legacy planning. This study highlights the significance of multi-purpose design, tourism integration, and policy-driven repurpose in ensuring the long-term sustainability of Olympic infrastructure investments.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3557274
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data

Xizhi Zhao, Jinlong Ma, Yujian Liu, Siyi Yu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Impact of Light on Environment and Health
article

Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data

Xizhi Zhao, Jinlong Ma, Yujian Liu, Siyi Yu
article en

Abstract

The Winter Olympic Games stimulate significant infrastructure development, yet post-Games venue utilization remains a pressing challenge. Traditional survey-based assessments are often resource-intensive and lack the capacity for continuous, large-scale monitoring. This study employs nighttime light (NTL) remote sensing data to analyze 209 Winter Olympic Game venues, utilizing time series analysis, change point detection, and seasonal decomposition. Results indicate that 32.06% of venues exhibit a significant increase in activity, while 12.92% experience a decline significantly. Two distinct utilization patterns emerge: outdoor sports venues for pre-2000 Games are more likely to face post-Games underutilization due to geographic isolation and high maintenance costs, whereas urban indoor venues can sustain long-term use through multi-purpose adaptability and accessibility. The findings confirm NTL data as an effective real-time monitoring tool, supporting data-driven legacy planning. This study highlights the significance of multi-purpose design, tourism integration, and policy-driven repurpose in ensuring the long-term sustainability of Olympic infrastructure investments.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Shanghai University of Sport (CN), Chinese Academy of Surveying and Mapping (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 92%
Impact of Light on Environment and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data — Xizhi Zhao, Jinlong Ma, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025) | TGRS Research Map | TGRS