Technical Reassessment of a Historical Monument: How AI and Modern Standards Redefine Our View of the Ancient Flavian Colosseum in Rome

This article examines the actual seating capacity and sanitary engineering capabilities of the Flavian Amphitheatre (Colosseum) in Rome through the application of contemporary engineering standards and calculation methods. A substantial portion of the research was carried out using artificial intelligence (ChatGPT), which facilitated automated data processing, modeling, and computations that would otherwise be extremely labor-intensive or nearly impossible without AI assistance. Based on geometric parameters, a revised assessment of capacity was conducted, revealing values significantly lower than those traditionally cited in historical sources. An analysis of modern requirements for water supply and sewage systems in sports arenas demonstrates that ancient Rome lacked the technology necessary for the safe operation of such a structure at the alleged levels of attendance. The absence of an advanced engineering infrastructure suggests that the Colosseum most likely served a primarily symbolic and political function rather than acting as a fully functional venue for regular mass events.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17241954
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technical Reassessment of a Historical Monument: How AI and Modern Standards Redefine Our View of the Ancient Flavian Colosseum in Rome

Zenodo (CERN European Organization for Nuclear Research)
Technology Adoption and User Behaviour
article

Technical Reassessment of a Historical Monument: How AI and Modern Standards Redefine Our View of the Ancient Flavian Colosseum in Rome

article en

Abstract

This article examines the actual seating capacity and sanitary engineering capabilities of the Flavian Amphitheatre (Colosseum) in Rome through the application of contemporary engineering standards and calculation methods. A substantial portion of the research was carried out using artificial intelligence (ChatGPT), which facilitated automated data processing, modeling, and computations that would otherwise be extremely labor-intensive or nearly impossible without AI assistance. Based on geometric parameters, a revised assessment of capacity was conducted, revealing values significantly lower than those traditionally cited in historical sources. An analysis of modern requirements for water supply and sewage systems in sports arenas demonstrates that ancient Rome lacked the technology necessary for the safe operation of such a structure at the alleged levels of attendance. The absence of an advanced engineering infrastructure suggests that the Colosseum most likely served a primarily symbolic and political function rather than acting as a fully functional venue for regular mass events.

Zenodo (CERN European Organization for Nuclear Research)
Clean water and sanitation
Openalex Percentile: Top 30%
Technology Adoption and User Behaviour
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.