Replication Dataset for "Beyond Visibility: Examining Street Vending, Administrative Data Integration, and Urban Governance in New York City"
Description
This repository contains replication materials for the article, “Beyond Visibility: Examining Street Vending, Administrative Data Integration, and Urban Governance in New York City.” The study examines whether administrative visibility is translated into effective urban governance by linking public reporting, enforcement activity, licensing processes, commercial density, and demographic context within New York City’s street-vending system. The analysis integrates publicly available administrative datasets, including 311 service requests, street-vending summons and enforcement records, licensing activity, American Community Survey indicators, and County Business Patterns data. The repository supports transparency and reproducibility by providing documentation describing the analytical dataset, variable definitions, and data-construction procedures used in the study. Original source data remain available from the respective public providers cited in the manuscript. The analytical framework evaluates relationships among complaint activity, enforcement visibility, licensing activity, commercial density, and demographic context. Findings should be interpreted as associational rather than causal. Citation: Garana, J. (2026). Beyond Visibility: Examining Street Vending, Administrative Data Integration, and Urban Governance in New York City.
Files
Steps to reproduce
1. Review the README, Data Dictionary, and Replication Notes contained in the Documentation folder. 2. Obtain the original public datasets identified in the repository documentation, including NYC Open Data records, American Community Survey indicators, and County Business Patterns data. 3. Follow the data-construction procedures described in the Replication Notes to aggregate and match records at the ZIP-year level. 4. Recreate the analytical datasets by merging complaint, enforcement, licensing, commercial-density, and demographic variables using the documented procedures. 5. Replicate the descriptive statistics and negative binomial regression analyses reported in the article and compare results with the published tables and figures. 6. Interpret findings as associational relationships among administrative visibility, enforcement activity, licensing pathways, and urban-governance outcomes.