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lucky-parking.md
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---
identification: '216854923'
title: Lucky Parking
description: 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.
image: /assets/images/projects/lucky-parking.png
alt: 'Lucky Parking Logo'
image-hero: /assets/images/projects/lucky-parking-hero.png
alt-hero: 'Lucky Parking Logo overlaid on a parking lot with a yellow Volkswagen.'
leadership:
- name: Greg Pawin
role: Product Owner / Data Science Lead
links:
slack: 'https://hackforla.slack.com/team/UUEQF3AJG'
github: 'https://github.com/gregpawin'
picture: https://avatars.githubusercontent.com/gregpawin
- name: Matthew Cacho
role: Full-Stack Developer Lead
links:
slack: 'https://hackforla.slack.com/team/U0262GA4DD2'
github: 'https://github.com/macho-catt'
picture: https://avatars.githubusercontent.com/macho-catt
links:
- name: GitHub
url: 'https://github.com/hackforla/lucky-parking'
- name: Readme
url: 'https://github.com/hackforla/lucky-parking/blob/master/README.md'
- name: Slack
url: 'https://hackforla.slack.com/archives/CPFDMSV6V'
- name: Test Site
url: 'http://www.luckyparking.org/'
looking:
- category: Development
skill: Experienced Frontend Software Engineer (Mapbox experience)
- category: Development
skill: Experienced Backend Software Engineer
- category: UI/UX
skill: Early UI/UX product development
- category: Data
skill: Data Analyst/Data Scientist (data cleaning)
technologies:
- React
- PostgreSQL
- Node.js
- Mapbox
location:
# - Santa Monica
- Remote
partner: Department of Neighborhood Empowerment
tools: Jupyter Notebooks, Google Colab, AWS
program-area:
- Citizen Engagement
visible: true
status: Active
# citizen engagement card data
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 webapp 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.
sdg: '<strong>11.2:</strong> 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.'
card-image-src: /assets/images/projects/lucky-parking.png
card-image-alt: lucky parking project card
sdg-image-src: /assets/images/about/sdg-elements/sustainable-cities.svg
sdg-image-alt: sustainable cities bottom sustainable dev goal
---