Lucky Parking

Project Overview

Status:

Active

Partner: Department of Neighborhood Empowerment

Location: Remote

Links: GitHub, Readme, Slack, Test Site

Tools: Jupyter Notebooks, Google Colab

Languages:

Technologies: React, AWS, PostgreSQL, Node.js, Mapbox

Visualization of parking data to assist in understanding of the effects of parking policies on a neighborhood by neighborhood basis in the City of Los Angeles.

Value

Problem

Parking citations are distributed unevenly across different socio-economic strata of the city's residents as they use public parking during the course of business or because enough off-street parking is not provided at their residence. The current publicly available Los Angeles parking citation dataset can be used as a basis for discussions about this disparity, but the unwieldy size and inconsistency of this data has been enough of a barrier to make it inaccessible to non-researchers.

Solution

Hack for LA’s Lucky Parking project seeks to map the 12.5 million parking citations on a web app that is easy to use yet powerful enough to make meaningful insights about parking citations accessible to the public at large.

Impact

Our project seeks to educate and inform city leaders and the community about the effects of Los Angeles’ parking policies, hopefully serving as a tool in discussing more equitable solutions to our transportation problems.

Sustainable Development Goal

11.2: By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations, women, children, persons with disabilities and older persons.

Current Project Team

Name: Yuting Chu

Role: Product Manager Lead

Name: Greg Pawin

Role: Data Scientist Lead

Name: Glen Paul Florendo

Role: Full-Stack Developer Lead

Name: Michael Morgan

Role: UX/UI Design Lead

Name: Arpita Pandya

Role: Full-Stack Developer

Name: Diedrich Chavarria

Role: Full-Stack Developer

Name: Jodie Chen

Role: UX/UI Designer

Name: Sijia Pitts

Role: UX/UI Designer

Name: Yujin Chang

Role: UX/UI Designer

Name: Sam Sengupta

Role: UX/UI Designer

Name: Seymour Liao

Role: Data Scientist

Name: David Lam

Role: Data Scientist

Name: Carlos Olivas

Role: Data Scientist

Name: Pratibha Shivanand

Role: Data Scientist

Name: Aletia Trepte

Role: Data Scientist/Engineer

Name: Yen Phan

Role: User Research

Name: Yao Guan

Role: Quant UXR

All-Time Contributors