playLab.Hudson — Draft 1

Ashley Louie
Data Mining the City
2 min readOct 3, 2018

Authors: Richard Chou, Ashley Louie, David Mauricio

playLab.Hudson — sketch canvans

Project Prompts:
1. How could additional program influence urban vibrancy?
2. How do different programs create destinations for different populations whom have different levels of access?
3. What are the trade-offs? For programs favoring one demographic over another?
4. How do users’ interactive choices reflect their priorities?

One Sentence:
Interactive model for prioritized program deployment.

Intro:
We are researching the City of Hudson, which currently struggles with the lack of access, social infrastructure, and economic vitality. As Urban Design students, we will engage community stakeholders to better understand their programmatic interests in improving their city. The City of Hudson lacks the resources and capital to invest in market research for new developments. We hope to improve our Python skills and learn from testing different methods of transporting goods more efficiently within a local network while understanding the realistic cost and time implications for each method.

Model:
The model simulates pedestrian street activity relative to accessible program. The agents include residents and visitors of different demographics. The environment includes the downtown urban fabric of Hudson. The user will deploy various programmatic elements which will change the environment. Time periods consider the course of a typical day. What are the behaviors and parameters of your agents? What are the inputs in your environment? What are the outputs of your model?

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Ashley Louie
Data Mining the City

With a background in architecture and urban design, I work with data and technology for social good.