RAAV - Model logic and implementation structure of PT-STA and CSTA
Description
Context and methodology
This dataset was created in the context of the RAAV research project (Rural Accessibility and Automated Vehicles), funded by the FWF (I 5224), in collaboration between TU Wien and Eurac Research. The project explores how automated public transport solutions can enhance accessibility in rural areas. The dataset serves as a conceptual and technical reference for two accessibility models developed during the project: PT-STA (Public Transport Space-Time Accessibility) and CSTA (Collective Space-Time Accessibility). The dataset was compiled based on the model design and implementation in ArcGIS ModelBuilder and documents all relevant model components, inputs, processing steps, and output structures used in RAAV’s accessibility analysis.
Technical details
The dataset consists of a single Excel file (RAAV_model_details.xlsx) with multiple sheets. It outlines:
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Required model inputs (e.g. stop locations, population data, time windows)
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Step-by-step logic of spatial and temporal calculations
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Structural comparison of the PT-STA and CSTA model layers
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Variable descriptions and modelling assumptions
There is no specific software requirement to open the file (standard spreadsheet reader is sufficient). However, the models described in the file were implemented in ArcGIS ModelBuilder, which is required for full replication. No code or geoprocessing scripts are included in this file, but the logic can be adapted to other platforms.
Further details
This documentation is intended to support reuse and transfer of the model structure to other research projects or practical applications in accessibility planning. It complements RAAV’s publicly available datasets and publications.
If reused, please cite the dataset using the DOI and acknowledge the RAAV project and TU Wien as the source.
Files
readme.txt
Additional details
Related works
- Is part of
- 10.48436/z2fek-hdx26 (DOI)
- 10.48436/7t00h-ptj28 (DOI)
- 10.48436/ameqk-nf898 (DOI)
- 10.48436/34n7m-gcf02 (DOI)
Funding
- Rural Accessibility & Automated Vehicles I 5224
- FWF Austrian Science Fund