Empirical Mobility Evidence and Agent-Based Simulation Data for Urban Mobility Policy Scenarios in Surabaya, Indonesia

This dataset supports the manuscript:

"Agent-Based Simulation of Urban Mobility Policy Scenarios Using Empirical Mobility Evidence:
A Case Study of Surabaya, Indonesia"

The dataset contains empirical and derived mobility evidence used to construct and evaluate an evidence-bounded agent-based simulation of urban mobility policy scenarios in Surabaya, Indonesia. The public dataset includes traffic and volume-to-capacity (V/C) evidence, travel-time observations, demand and temporal analytical datasets, network-related data, baseline simulation outputs, sensitivity analysis results, and policy scenario simulation outputs.

The dataset distinguishes between observed empirical evidence, derived analytical variables, and model-generated simulation outputs. The empirical evidence was compiled from official/secondary mobility records and primary/documentary evidence reported in the doctoral dissertation of Mandra Nur Alia. The analytical datasets were prepared through data processing, classification, consistency checking, reconciliation, and model preparation.

Participant-level driver and qualitative behavioural/incentive records are not included in this unrestricted public release because they contain individual-level or informant-level information derived from human-participant/documentary evidence. These materials are retained separately under controlled access where appropriate, subject to applicable ethics, consent, privacy, and source-data restrictions.

AI-assisted tools were used during data processing, auditing, classification, reconciliation, and analytical dataset preparation. AI assistance did not constitute the source of the underlying empirical observations.

The dataset is intended to support research transparency, reproducibility, methodological review, and further research on evidence-bounded agent-based modelling and urban mobility policy analysis.