Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data
Yecheng Zhang, Tangqi Tu, Ying long

TL;DR
This study introduces a global framework to identify and quantify ghost cities by comparing urban vitality in new and old urban areas using multi-source data, revealing significant vitality gaps and highlighting urbanization challenges.
Contribution
It presents the first global measurement of ghost cities based on urban vitality, utilizing a unified multi-source data approach and a novel ghost cities index (GCI).
Findings
New urban areas have 7.69% vitality of old ones.
Top 5% of cities identified as ghost cities.
Validated findings with media and prior research.
Abstract
Due to rapid urbanization over the past 20 years, many newly developed areas have lagged in socio-economic maturity, creating an imbalance with older cities and leading to the rise of "ghost cities." However, due to the complexity of socio-economic factors, no global studies have measured this phenomenon. We propose a unified framework based on urban vitality theory and multi-source data, validated by various data sources. We derived 8841 natural cities globally with an area over 5 square kiloxmeters and divided each into new urban areas (developed after 2005) and old urban areas (developed before 2005). Urban vitality was gauged using the density of road networks, points of interest (POIs), and population density with 1 km resolution across morphological, functional, and social dimensions. By comparing urban vitality in new and old urban areas, we quantify the ghost cities index (GCI)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman Mobility and Location-Based Analysis
