Obesity Occurrence Analysis
-- the Associations between Various Personal Behavioral and Socioeconomic Factors

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Overview

This study examines the correlation between obesity rates and various other factors, utilizing two robust datasets: the CDC’s PLACES: Census Tract Data (GIS Friendly Format), 2023 release, and the American Community Survey Data from the US Census. The PLACES data offers a deep dive into the prevalence of obesity and other chronic conditions, as well as lifestyle habits such as physical activity levels, sleep duration, diabetes management, and alcohol consumption. The American Community Survey complements this with demographic and socioeconomic insights, encompassing factors like median household income and poverty rates within census tracts.

By merging these datasets, the analysis aims to reveal the associations between obesity prevalence and a spectrum of lifestyle choices and socioeconomic conditions at the neighborhood level. The goal is to disentangle the intricate web of factors—from individual behaviors to community-wide economic indicators—influencing obesity and chronic disease rates. Employing advanced statistical analysis and data visualization tools, the research intends to pinpoint critical determinants of obesity, shedding light on the multifaceted nature of health disparities within Michigan’s diverse communities.

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Search Your Dream Home

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Overview

This term project resembles the home searching engines that users can input preference criteria and search for their dream homes. The algorithm would direct users to the best recommendation according to the input home features.

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Agency Performance Assessment
-- using HUD FY2022 Performance Report as an Example

Performance evaluation is critical in an agency’s self-assessment and public monitoring process. It yields evidence of a government’s effectiveness, provides direction in budgeting and people management, and indicates public accountability. (Behn, 2003) This paper evaluates the FY2022 performance report of the Department of Housing and Urban Development (HUD) as an example of agency performance assessment, focusing on the alignment, effectiveness, and significance of the performance indicators as around the strategical goals.

Two strategic goals will be covered with in-depth assessment:

  • Strategic Goal #2: Ensure Access to and Increase the Production of Affordable Housing
  • Strategic Goal #4: Advance Sustainable Communities

1. Strategic Goal #2

Strategic Goal #2 has two objectives about housing supply and rental assistance. These two objectives directly address the strategic goal.

1.1 Alignment of indicators with the goal and objective

All the indicators under housing supply address the numbers of housing produced, and the programs/schemes are directly related to financial assistance. First, all the

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Using Logit Models to Analyze Multiple Car Ownership in the Philadelphia Region

To: Yassmin Gramian, Secretary of Transportation, Pennsylvania Department of Transportation
From: Elizabeth Wang, Planning Consultant, Penn City Institute
Re: Using logit models to analyze multiple car ownership in the Philadelphia Region
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Summary

The Delaware River Valley Planning Commission (DRVPC) and the Penn City Institute have been advocating a compact city development plan in the region. A first and foremost objective is to decrease the use private cars and promote alternative commuting modes such as mass public transit and biking. To study the correlation of individual factors of households and their car ownership of people in the Philadelphia Region, a study has been conducted with the Philadelphia Household Travel Survey data. Factors that may affect multiple car ownership have been examined, including demographic features, counties travelers are from, car parking and transit subsidies and commute mode choices. The study reveals significant differences of multiple car ownership among different social and racial groups based on demographic features, and household locations. The study further reveals possible solutions using subsidies to incentivize people to prefer alternative commuting modes to owning an additional car.

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Strategies in Increasing Philadelphia’s Cycling Trips to 15% of All Trips by 2030

To: James Kenney, Mayor of Philadelphia
From: Elizabeth Wang, Planning Consultant, Penn City Institute
Re: Strategies in Increasing Philadelphia’s Cycling Trips to 15% of All Trips by 2030
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Summary
Unlike many European countries where biking as a commuting mode comes from the convention, the U.S. introduced biking as a mode for transportation and entertainments in the early 1990s (Lecture 12/3). Increase of biking as a commuting mode and a leisure activity would bring benefits to people’s health and alleviate negative external effects to the environment. Philadelphia, as a city with a level of complexity in transportation planning, targets to improve its biking trips to 15% of all trips by

  1. Strategies should be proposed to eradicate risk factors regarding cycling traffic, alleviate financial burden, formulating regulations and emphasize the spillover effects from major educational institutes so that the public would better accept and adapt to the lifestyle on bicycles.
    Strategies
    Setting an Overarching goal
    The goal of increasing biking trips to 15% is an ambitious one, as compared to the current level of less than 5%
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