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Complete Health Indicator Report of Community Design: Types of Transportation to Work

Definition

These measures use the number of people within each type of transportation to work per geographic area population estimate to generate the number and percent of people aged 16 and older in a given geographic area who used a specific type of transportation to commute to work.

Numerator

Number of workers over 16 years that used active transportation[[br]][[br]] Number of workers over 16 years that used public transportation[[br]][[br]] Number of workers over 16 years that used car, truck, van[[br]][[br]] Number of workers over 16 years that worked at home

Denominator

Workers age 16 years and over in a given geographic area

Data Interpretation Issues

This dataset only captures commute to work and does not capture the distance or duration of the trip.[[br]][[br]] Personal preference and economics also influence commute choices, not just community design.[[br]][[br]] Commuting by taxicab or other means of transport not included in these data can be accessed from the ACS. While the ACS provides population, demographic and housing unit estimates, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns. Data are based on a sample and are subject to sampling variability.[[br]][[br]] Man-made geographic boundaries and their names are not static. Substantial changes to county or county equivalent entities that affect these data during a particular decade may be found on the Census website at [https://www.census.gov/geo/reference/county-changes.html]. Data comparisons in these areas should be conducted with these changes in mind.

Why Is This Important?

Taking public transportation, carpooling, walking, or bicycling to work can have environmental, economic, and personal health benefits.^1^ Walking, bicycling, and public transportation promote regular physical activity, reduce traffic congestion, and decrease air pollution from cars, which in turn reduce chronic disease rates, obesity rates, and traffic-related fatalities.^2^ Higher rates of walking and bicycling to work are related to a lower percentage of obesity levels in communities. Commuting by car has generally been associated with reduced physical activity, increased body mass index, and increased levels of obesity.^3^ Commuting by bicycle or walking provides an opportunity to achieve recommended amounts of daily physical activity. Public transportation also provides an opportunity for physical activity as users often combine it with walking or bicycling. Supportive infrastructure such as sidewalks, bike lanes, and public transportation make these commute options feasible and safer.^4^ [[br]][[br]] ---- 1. Pucher J, Dill J, Handy S. Infrastructure, programs, and policies to increase bicycling: An international review. Preventive Medicine. 2010;50(S):S106-S25. [[br]] 2. Jilcott, S.B., et al., Commute times, food retail gaps, and body mass index in North Carolina counties. Prev Chronic Dis, 2010. 7(5): p. A107. [[br]] 3. Christian, T.J., Trade-offs between commuting time and health-related activities. J Urban Health, 2012. 89(5): p. 746-57. [[br]] 4. Yang, W., et al., Evaluation of personal and built environment attributes to physical activity: a multilevel analysis on multiple population-based data sources. J Obes, 2012. 2012: p. 548910.


Graphical Data Views

Number of Workers 16 Years and Older by Year, Utah, 2005-2015

::chart - missing::

Year GroupNumber of Workers Aged 16+
Record Count: 7
2005-20091,230,862
2006-20101,217,129
2007-20111,234,094
2008-20121,249,915
2009-20131,259,283
2010-20141,282,333
2011-20151,319,944

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. The 2008 American Community Survey (ACS) data generally reflect the November 2007 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in the ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities. Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Data Source

American Community Survey

More Resources and Links

Additional indicator data by state and county may be found on these websites:

Medical literature can be queried at PubMed library.

Page Content Updated On 08/10/2018, Published on 03/30/2022
The information provided above is from the Utah Department of Health and Human Services IBIS-PH website (https://ibis.utah.gov/ibisph-view/). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Sun, 24 November 2024 0:11:50 from Utah Department of Health and Human Services, Indicator-Based Information System for Public Health website: https://ibis.utah.gov/ibisph-view/ ".

Content updated: Fri, 26 Jul 2024 17:57:30 MDT