Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Intelligent System for Urban Emergency Management during Large-Scale Disaster
Authors: Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results are presented in Section 5. We evaluated our system from two aspects: performance of mobility simulation for population flow and performance of destination prediction for individual person. |
| Researcher Affiliation | Academia | Center for Spatial Information Science, The University of Tokyo |
| Pseudocode | Yes | Algorithm 1: Expected Action Frequency Calculation |
| Open Source Code | No | No explicit statement about providing open-source code for the methodology described in this paper. |
| Open Datasets | No | The proposed system stores and manages GPS records of approximately 1.6 million anonymized users throughout Japan from 1 August 2010 to 31 July 2011, which contains approximately 9.2 billion GPS records, more than 600GB csv files. No public access information provided. |
| Dataset Splits | Yes | To evaluate the simulation results of population flow, we performed K-fold cross-validation. The whole disaster data were randomly partitioned into three sub-samples: one sample was used as validation data while the other two were used as training data. |
| Hardware Specification | No | No specific hardware details (e.g., GPU/CPU models, memory) used for running experiments are provided. |
| Software Dependencies | No | No specific software dependencies with version numbers are mentioned. |
| Experiment Setup | Yes | We set cell length as 1km, and manually labeled the region type in mobility graph. We randomly selected 80% trajectories of the disaster data (18 hours after the earthquake) to train the inference model, and used the remaining 20% data for testing and evaluation. |