Abstract
Residential neighborhood characteristics, especially those related to transportation infrastructure and accessibility, enable the daily lives of residents and presumably enhance their satisfaction with neighborhoods. Using 2011 data in the Twin Cities, this study employs the gradient boosting decision trees approach to examine the impact on neighborhood satisfaction of transportation infrastructure and accessibility, as well as other neighborhood attributes. It also explores how residents living in urban and suburban neighborhoods value neighborhood features differently. The results show that urban residents value transportation and accessibility and suburban residents value affordability, safety, and school quality.
| Original language | English (US) |
|---|---|
| Journal | Transport Findings |
| Volume | 2019 |
| DOIs | |
| State | Published - 2019 |
Bibliographical note
Publisher Copyright:© 2019, Findings Press. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- land use
- machine learning https://doi.org/10.32866/7209
- residential dissonance
- subjective well being
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