A web application that helps people in Portland plan their multi-modal trips. The user is able to enter their start and end point, and how many miles they would like to bike. After entering their search, the user can see routes on a map that fit thier criteria. In future iterations I would like to add user authentication and have the user be able to save their search results. I would also like to add metrics on how many miles they biked and the carbon footprint of their route.
- MVP
- Further Exploration
- Plan
- Component Tree
- Wireframes
- Setup on OSX
- Technologies Used
- Configuration/dependencies
- MIT License
- The user can enter a starting point and an ending point
- The user can enter how many miles they would like to bike
- The user can see a list of possible routes to take to get from their starting point to the end point
- The routes will be displayed in a map
- The user can create an account and save their routes
- Include real time stop information so the user can see when the bus is arriving at the stops on their route
- The user can rate their routes
- Possible analysis on the routes, such charts showing their miles biked or carbon emmissions saved from taking transit and biking
View the plan here.
- React
- Redux
- Styled Components
- Jest
- Deck.GL
- Trimet Trip Planner API
- Mapbox
- Icons from Good Ware
- Icons made by Freepik from www.flaticon.com is licensed by CC 3.0 BY
- Install Node.js
- Clone this project with
git clone https://github.com/paigewilliams/bike-transit-planner
- Navigate to the root directory of the project with
cd bike-transit-planner
- Create a
.env
file in the root of the directory - Generate a Mapbox access token
- Save your access token as
API_KEY
in the.env
file - Generate a Google Maps geocoder access token
- Save your access token as
GOOGLE_KEY
in the.env
file - Run
npm install
to install dependencies - Run
npm run start
to build and serve the project - View the project in any browser at
http://localhost:8080/
Paige Williams: paw145@humboldt.edu
This software is licensed under the MIT license.
Copyright (c) 2018 Paige Williams