TY - JOUR
T1 - Quantifying the health benefits of transit-oriented development
T2 - Creation and application of the San Diego Public Health Assessment Model (SD-PHAM)
AU - Frank, Lawrence D.
AU - Fox, Eric H.
AU - Ulmer, Jared M.
AU - Chapman, James E.
AU - Braun, Lindsay M.
N1 - Funding Information:
The research and software development for this project ( 5001527/3300501 ) were funded by the San Diego Association of Governments (SANDAG) and the San Diego County Health & Human Services Agency (HHSA) through a U.S. Center for Disease Control & Prevention (CDC) Communities Putting Prevention to Work grant provided by the American Recovery and Reinvestment Act of 2009. Appreciation is extended to Sarah Kavage, Jessica Schoner, Kara MacLeod and Alec Trusty from Urban Design 4 Health, Inc. for their work on the project and for providing feedback to this manuscript. The authors also wish to thank Doug Walker, Amy Anderson, and Emily Cubbon from Placeways, LLC (now City Explained, Inc.) for assisting with the development of the health module for CommunityViz, and Kevin Hathaway from Resource Systems Group for leading the sidewalk data inventory. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. The opinions expressed by the authors do not necessarily reflect the opinions of SANDAG, San Diego County HHSA, or the CDC.
Funding Information:
As evidence of the health impacts of transportation investments has grown, planners have increasingly used health impact assessments (HIAs) to evaluate transportation plans, projects, and policies. Most HIAs to date, however, have been limited in their ability to quantify health impacts due to a lack of validated methods and tools, scarcity of disaggregate and locally-relevant data, and cost. This paper presents the development and application of a quantitative HIA tool designed to address these and other common limitations of existing HIAs. Developed through a grant from the San Diego Association of Governments and the San Diego County Health and Human Services, the tool is based on detailed modeled regression analyses associating the built environment with physical activity, safety, diabetes, hypertension, and asthma in a large sample of California Health Interview Survey participants. The tool allows users to enter built environment characteristics for baseline and future development scenarios and estimate corresponding health impacts. This paper describes the development of this tool and its application to the Palomar Gateway District rail transit station area in San Diego County. The results suggest that plan-endorsed projected build-out is associated with increased physical activity from walking for transportation, park visitation, and reductions in type 2 diabetes and high blood pressure. Potential for increased exposure to air pollution among children and teens may, however, attenuate some of these benefits. Quantifying both the positive and the negative health outcomes of transportation investments can inform proposals and reduce health risks. This study demonstrates how the application of an evidence-based software tool can support the HIA process and create empirical evidence useable within transportation decisions and planning practice.This paper describes the development and application of the San Diego Public Health Assessment Model (SD-PHAM) and its application to a local transit station area. Transit-oriented (Curtis et al., 2009; Cervero and Arrington, 2008) and transit-adjacent (Renne, 2009) development have been of considerable interest within the context of retrofitting auto-dependent environments and shifting travel modes with considerable attention to the topic in California (Lund, 2006). One study in San Diego County that focused on housing prices in relation to TODs found strong demand for such development in the region (Duncan, 2010). SD-PHAM was designed to address many of the challenges of prevailing HIA practices. Specifically, SD-PHAM is quantitative in nature; relies on disaggregate data relevant to a local context; systematically considers multiple (and potentially competing) health impacts; and can relieve long-term cost burdens through its ability to be applied to multiple transportation decisions and associated HIAs. SD-PHAM was independently conceptualized and created by Urban Design 4 Health, Inc. It was first applied as part of the San Diego Association of Governments (SANDAG) and the San Diego County Health and Human Services Agency's (HHSA) “Healthy Works” initiative. After summarizing the tool development process, this paper focuses on the application of the tool to the transit-oriented redevelopment of the Palomar Gateway District in San Diego County. The paper concludes with a discussion of how the tool can be used to improve decision-making for this project as well as for transportation planning practice more broadly, including its potential to support a more consistent, flexible, geographically scalable, quantitative framework for HIA in transportation and other planning fields.The research and software development for this project (5001527/3300501) were funded by the San Diego Association of Governments (SANDAG) and the San Diego County Health & Human Services Agency (HHSA) through a U.S. Center for Disease Control & Prevention (CDC) Communities Putting Prevention to Work grant provided by the American Recovery and Reinvestment Act of 2009. Appreciation is extended to Sarah Kavage, Jessica Schoner, Kara MacLeod and Alec Trusty from Urban Design 4 Health, Inc. for their work on the project and for providing feedback to this manuscript. The authors also wish to thank Doug Walker, Amy Anderson, and Emily Cubbon from Placeways, LLC (now City Explained, Inc.) for assisting with the development of the health module for CommunityViz, and Kevin Hathaway from Resource Systems Group for leading the sidewalk data inventory. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. The opinions expressed by the authors do not necessarily reflect the opinions of SANDAG, San Diego County HHSA, or the CDC.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/1
Y1 - 2022/1
N2 - As evidence of the health impacts of transportation investments has grown, planners have increasingly used health impact assessments (HIAs) to evaluate transportation plans, projects, and policies. Most HIAs to date, however, have been limited in their ability to quantify health impacts due to a lack of validated methods and tools, scarcity of disaggregate and locally-relevant data, and cost. This paper presents the development and application of a quantitative HIA tool designed to address these and other common limitations of existing HIAs. Developed through a grant from the San Diego Association of Governments and the San Diego County Health and Human Services, the tool is based on detailed modeled regression analyses associating the built environment with physical activity, safety, diabetes, hypertension, and asthma in a large sample of California Health Interview Survey participants. The tool allows users to enter built environment characteristics for baseline and future development scenarios and estimate corresponding health impacts. This paper describes the development of this tool and its application to the Palomar Gateway District rail transit station area in San Diego County. The results suggest that plan-endorsed projected build-out is associated with increased physical activity from walking for transportation, park visitation, and reductions in type 2 diabetes and high blood pressure. Potential for increased exposure to air pollution among children and teens may, however, attenuate some of these benefits. Quantifying both the positive and the negative health outcomes of transportation investments can inform proposals and reduce health risks. This study demonstrates how the application of an evidence-based software tool can support the HIA process and create empirical evidence useable within transportation decisions and planning practice.
AB - As evidence of the health impacts of transportation investments has grown, planners have increasingly used health impact assessments (HIAs) to evaluate transportation plans, projects, and policies. Most HIAs to date, however, have been limited in their ability to quantify health impacts due to a lack of validated methods and tools, scarcity of disaggregate and locally-relevant data, and cost. This paper presents the development and application of a quantitative HIA tool designed to address these and other common limitations of existing HIAs. Developed through a grant from the San Diego Association of Governments and the San Diego County Health and Human Services, the tool is based on detailed modeled regression analyses associating the built environment with physical activity, safety, diabetes, hypertension, and asthma in a large sample of California Health Interview Survey participants. The tool allows users to enter built environment characteristics for baseline and future development scenarios and estimate corresponding health impacts. This paper describes the development of this tool and its application to the Palomar Gateway District rail transit station area in San Diego County. The results suggest that plan-endorsed projected build-out is associated with increased physical activity from walking for transportation, park visitation, and reductions in type 2 diabetes and high blood pressure. Potential for increased exposure to air pollution among children and teens may, however, attenuate some of these benefits. Quantifying both the positive and the negative health outcomes of transportation investments can inform proposals and reduce health risks. This study demonstrates how the application of an evidence-based software tool can support the HIA process and create empirical evidence useable within transportation decisions and planning practice.
KW - Health impact assessment
KW - Healthy community design
KW - Obesity
KW - Physical activity
KW - Scenario planning
KW - Transit-oriented development
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U2 - 10.1016/j.tranpol.2021.10.005
DO - 10.1016/j.tranpol.2021.10.005
M3 - Article
AN - SCOPUS:85118550947
SN - 0967-070X
VL - 115
SP - 14
EP - 26
JO - Transport Policy
JF - Transport Policy
ER -