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Measuring accessibility to public transportation services by low-income residents: the case of Washington DC

URSP688Y-Final Project
Spring 2024
Urban Studies and Planning
School of Architecture, Planning, and Preservation
University of Maryland, College Park

Instructor
Chester Harvey
National Center for Smart Growth
cwharvey@umd.edu

Authors
Homayoon Aghili
saghili@umd.edu

John Abu
jjabu@umd.edu

What is this repository made for?

We made this repository to publish our Research Narrative, Analysis, Visual Outputs, and Interactive Web Application.

Research Narrative

Our Research Narrative, a crucial component of our work, provides a detailed introduction, analysis, and conclusion, offering a comprehensive overview of our research process and findings. This narrative is accessible via this link.

Analysis

Our intricate analysis process involved coding in Python to process multiple Geospatial datasets. We then calculated and found our target variables, exporting the processed datasets as Shapefiles and Data Tables for visualization in third-party programs. You can explore these detailed analyses via the button below.

Code 1:

Visual Outputs

Some of our Visual outputs can be found in our Research Narrative. However, we created 40+ maps and charts to answer our research questions, which you can view here. bus_dist_all bus_dist_81ami bus_dist_80ami bus_dist_60ami bus_dist_50ami bus_dist_30ami train_dist_all train_dist_81ami train_dist_80ami train_dist_60ami train_dist_50ami train_dist_30ami stops_train_AMI81 stops_train_AMI80 stops_train_AMI60 stops_train_AMI50 stops_train_AMI30 stops_train_AMI_all stops_bus_AMI81 stops_bus_AMI80 stops_bus_AMI60 stops_bus_AMI50 stops_bus_AMI30 stops_bus_AMI_all routes_train_AMI81 routes_train_AMI80 routes_train_AMI60 routes_train_AMI50 routes_train_AMI30 routes_train_AMI_all routes_bus_AMI81 routes_bus_AMI80 routes_bus_AMI60 routes_bus_AMI50 routes_bus_AMI30 routes_bus_AMI_all

Interactive Web Application

The final part of our project was to create an interactive platform to publish our findings. To achieve this goal, we used ArcGIS Online's Dashboard and Experience Builder. You can view this application via this link or scan the QR Code below.

Untitled design

What's next?

Even though we found the answers to our research questions, many others were raised during this time. Hence, we decided to keep this research going and publicize this repository and our data to attract other interested researchers. One of these questions was: Despite the factual data showing that current affordable housing projects are planned or built in Washington, DC, what percentage of them are actually completed?

You can view the ongoing process of finding the answer to this question via the button below.

Code 2:

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