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Update README.md
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joshuacroff committed Dec 16, 2023
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Expand Up @@ -26,9 +26,24 @@ The goal of this project is to develop an automated, repeatable geospatial analy

| Purpose | Resource | Description | Location | Link (if any) | Access | Notes |
|--------|-----------|-------------|----------|---------------|--------|-------|
| Input | Source Data | Hotspot geospatial data (KMZ points/lines) | Box | [BusAID Hotspot Inventory_v2 (October).kmz ](https://mtcdrive.box.com/s/8sfwj4rcpc1uplg588tp3hxznc83j9m1) | Internal Only | |
| Input | Source Data | Hotspot tabluar data (Excel spreadsheet) | Box | [BusAID Hotspot Master List_112823.xlsx](https://mtcdrive.box.com/s/tyl4c2yinhtgp42kzfdqohcg5kzy1kwh) | Internal Only | |
| Input | Source Data | Hotspot geospatial data (KMZ points/lines) | Box | [Spatial Data](https://mtcdrive.box.com/s/sg1xnjo4vo9m6khs9cmum70r6yhndgbh) | Internal Only | |
| Input | Source Data | Hotspot tabular data (Excel spreadsheet) | Box | [BusAID Hotspot Master List_112823.xlsx](https://mtcdrive.box.com/s/tyl4c2yinhtgp42kzfdqohcg5kzy1kwh) | Internal Only | |
| Input | Source Data | Individual operator hotspot data (Excel spreadsheets) | Box | [Individual Operator Spreadsheets](https://mtcdrive.box.com/s/a60zuajafmaisllxhi7unwbbnlh48qql) | Internal Only | |
| Input | Source Data | Equity Priority Communities - Plan Bay Area 2050 (EPCs) | ArcGIS Online | [EPCs](https://mtc.maps.arcgis.com/home/item.html?id=28a03a46fe9c4df0a29746d6f8c633c8) | Public | |
| Input | Source Data | Priority Development Areas - Plan Bay Area 2050 (PDAs) | ArcGIS Online | [PDAs](https://mtc.maps.arcgis.com/home/item.html?id=4df9cb38d77346a289252ced4ffa0ca0) | Public | |
| Input | Source Data | 511 GTFS Data - November 2023 | Online | [511 GTFS Data](https://511.org/open-data/transit) | Public | Data pulled from the historic feed for November 2023 |
| Data Catalog | Published Datasets | ArcGIS Online working roup for managing working and draft content | ArcGIS Online | [Bus AID (Private - Working)](https://mtc.maps.arcgis.com/home/group.html?id=0ebbbd31731f41558becf30d5a210752#overview) | Project Collaborators | |

# Methodology
# Methodology

1. Read input datasets
2. Pre-process GTFS transit route data
1. Filter to only include bus and Tram, Streetcar, Light Rail transit modes
2. Join GTFS agency, route, trip, and shape data into a single dataset
3. Pre-process hotspot tabular data
1. Remove whitespace from transit routes column
2. Split comma separated values into a list of transit routes
3. Add transit agency ids that match GTFS data
4. Explode transit routes into individual rows (one row per transit route)
5. Manually correct transit route ids that do not match GTFS data
4. Merge GTFS transit route data with hotspot tabular data

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