Replication data for: Site aggregation in recreational demand modelling with an application to the impact of sediments runoffs in coastal waters

This archive contains the data required to reproduce the empirical analysis and figures presented in the paper “Site aggregation in recreational demand modelling with an application to the impact of sediment runoffs in coastal waters.” The archive includes: recreation choices reported by Maui residents in a 2017 survey; a spatial inventory of coastal and non-coastal recreation sites; site characteristics, including amenities, coral cover, and fish biomass; travel distances and travel times between population grid cells and recreation sites; gridded population data used to aggregate welfare estimates; records of brown water events, including their duration and affected sites; GIS layers used to produce the maps in the paper; the complete and aggregated versions of the recreation-site inventory. The datasets support the estimation of conditional-logit and two-stage recreation-demand models, the comparison between complete and aggregated choice sets, and the calculation of welfare losses associated with brown water events. The complete replication code and documentation are available in the project’s GitHub repository: https://github.com/cevefabio/Site_aggregation_effect_ERE/tree/main. This Zenodo archive contains the data required to run that code and preserves its expected directory structure. After downloading, users should extract the archive into the root of the GitHub repository so that the data/ and code/ directories are located alongside each other. A file-level inventory, including file sizes and SHA-256 checksums, is provided in DATA_INVENTORY.csv. Additional information on the data sources and directory structure is available in data/README.md.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23811093
Primary Topic
Economic and Environmental Valuation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Replication data for: Site aggregation in recreational demand modelling with an application to the impact of sediments runoffs in coastal waters

Fabio Cevenini
1 links
Zenodo (CERN European Organization for Nuclear Research)
Economic and Environmental Valuation
article

Replication data for: Site aggregation in recreational demand modelling with an application to the impact of sediments runoffs in coastal waters

Fabio Cevenini
article en

Abstract

This archive contains the data required to reproduce the empirical analysis and figures presented in the paper “Site aggregation in recreational demand modelling with an application to the impact of sediment runoffs in coastal waters.” The archive includes: recreation choices reported by Maui residents in a 2017 survey; a spatial inventory of coastal and non-coastal recreation sites; site characteristics, including amenities, coral cover, and fish biomass; travel distances and travel times between population grid cells and recreation sites; gridded population data used to aggregate welfare estimates; records of brown water events, including their duration and affected sites; GIS layers used to produce the maps in the paper; the complete and aggregated versions of the recreation-site inventory. The datasets support the estimation of conditional-logit and two-stage recreation-demand models, the comparison between complete and aggregated choice sets, and the calculation of welfare losses associated with brown water events. The complete replication code and documentation are available in the project’s GitHub repository: https://github.com/cevefabio/Site_aggregation_effect_ERE/tree/main. This Zenodo archive contains the data required to run that code and preserves its expected directory structure. After downloading, users should extract the archive into the root of the GitHub repository so that the data/ and code/ directories are located alongside each other. A file-level inventory, including file sizes and SHA-256 checksums, is provided in DATA_INVENTORY.csv. Additional information on the data sources and directory structure is available in data/README.md.

Zenodo (CERN European Organization for Nuclear Research)
University of Trento (IT)
Clean water and sanitation, Life below water
Openalex Percentile: Top 9%
Economic and Environmental Valuation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon