Ferry Analysis

a collection of functions used in a FY22 Ferry Feasibility Study

Basics

This repo is still under development. Right now it can

Scrape a website (specifically visitsouthjersey.com) for addresses and reverse geocode them to Lat/Lon points using google's API
Calculate the distance and directions between two or more points
Create travel time isochrones around docks using PG routing.

Prerequisites

Conda installed on your system (to install the included .yml file)
Postgres with the PostGIS extension and PGrouting installed on your DB of choice
A Google API Key and a developer account (only necessary if you intend to use the distance_direction or google_lat_lon scripts)
A configured .env file. See example below and plug in with your credentials.

Nice to have

QGIS or another mapping platform to view your isochrones

Sample .env text

(Create a file called ".env" in your working folder and store your credentials in it as seen below)

google_api = 12345678910

GDRIVE_FOLDER = /Volumes/GoogleDrive/Shared drives/Community & Economic Development /Ferry Service Feasibility_FY22/Shapefiles/For_Modeling

GEOJSON_FOLDER = /Volumes/GoogleDrive/Shared drives/Community & Economic Development /Ferry Service Feasibility_FY22/Shapefiles/geojson

DB_NAME=pg_routing_ferry
DB_HOST=localhost
DB_USER=postgres
DB_PASSWORD=your_password
DATABASE_URL=postgresql://postgres:your_password@localhost:5432/pg_routing_ferry

Isochrone Analysis

Environment Creation and Activation

Run the following commands in a terminal:

conda env create -f environment.yml

conda activate ferry

Primary Analysis

Run python osmnx_isochrones.py. This uses 15 and 30 minutes as the default isochrones but change those values as you see fit in the file.

mmorley0395/ferry