An Event-Scale Fermi Estimation Model (ES-FEM) for Rapid Feasibility Assessment of Public Park Events

Evaluating feasibility and attendance projections for public park events is crucial for municipal planning, crowd safety, and resource allocation. Due to inherent uncertainty and lack of historical data in early-stage planning, precise forecasting is challenging. This paper proposes a rapid feasibility-screening framework—the Event-Scale Fermi Estimation Model (ES-FEM)—to evaluate whether projected attendance levels are physically and demographically plausible. By integrating spatial parameters, simultaneous crowd density, temporal turnover rates, demand-side marketing funnels, and infrastructure bottlenecks (min(N_space, N_infra, N_market)), ES-FEM provides an order-of-magnitude assessment under limited-information conditions. Drawing epistemological parallels with finite element method (FEM) preliminary sizing and cross-disciplinary order estimation, the model bridges the gap between rough back-of-the-envelope calculations and urban engineering constraints.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24098433
Primary Topic
Sport and Mega-Event Impacts
Type
preprint
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preprint

An Event-Scale Fermi Estimation Model (ES-FEM) for Rapid Feasibility Assessment of Public Park Events

B.Y. Hughes Graduate Student
Zenodo (CERN European Organization for Nuclear Research)
Sport and Mega-Event Impacts
preprint

An Event-Scale Fermi Estimation Model (ES-FEM) for Rapid Feasibility Assessment of Public Park Events

B.Y. Hughes Graduate Student
preprint en

Abstract

Evaluating feasibility and attendance projections for public park events is crucial for municipal planning, crowd safety, and resource allocation. Due to inherent uncertainty and lack of historical data in early-stage planning, precise forecasting is challenging. This paper proposes a rapid feasibility-screening framework—the Event-Scale Fermi Estimation Model (ES-FEM)—to evaluate whether projected attendance levels are physically and demographically plausible. By integrating spatial parameters, simultaneous crowd density, temporal turnover rates, demand-side marketing funnels, and infrastructure bottlenecks (min(N_space, N_infra, N_market)), ES-FEM provides an order-of-magnitude assessment under limited-information conditions. Drawing epistemological parallels with finite element method (FEM) preliminary sizing and cross-disciplinary order estimation, the model bridges the gap between rough back-of-the-envelope calculations and urban engineering constraints.

Zenodo (CERN European Organization for Nuclear Research)
Sport and Mega-Event Impacts
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