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Epidemics on the Move: How Public Transport Demand and Capacity Shape Disease Spread

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/14794310
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This repository contains two compressed folders with data used for agent-based simulation modeling of epidemiological scenarios in the San Francisco Bay Area public transportation network. fr_data.zip:Contains the following data used to run transit simulations using the Fast-Trips simulation tool: GTFS Data:San Francisco Bay Area transit system data (In GTFS PLUS format; located in supply/GTFS). Vehicle Capacity Data:Files (vehicles_ft.txt) corresponding to simulation scenarios with different capacity restrictions (located in supply/capacity_{% of capacity decrease}). Transit Demand Data:Data in dyno-demand format corresponding to different demand levels (located in demand/demand_{% of baseline demand level}). Fast-Trips Configuration Files:Configuration files for the simulation tool (located in the config subfolder). graphs.zip:Contains data files (in .gexf format and edge list .csv files) representing contact networks produced by processing the outputs of each transit simulation scenario. These data serve as input for SI epidemic simulations run using this code. Contact networks corresponding to different demand/capacity scenarios are located in subfolders named {% of baseline demand level}_{% of capacity decrease}.
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2025-02-03
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