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Encouraging multimodal travel makes the best use of the system, reduces greenhouse gas emissions, and improves quality of life. This measure tracks the share of trips to work by non-single occupancy vehicle (non-SOV) modes for trips to work. These modes include carpool, public transportation, walking, bicycling and telecommuting. Higher levels of non-SOV travel would yield numerous benefits: reduced congestion, better air quality, and healthier residents, to name a few.

Note about 2020 data: Due to data quality concerns arising from the COVID-19 pandemic, the Census Bureau will not publish 1-year ACS summary tables for 2020. To obtain a 2020 estimate, CMAP instead used the 2020 ACS 1-Year Public Use Microdata Sample with Experimental Weights. Since this data is only available for Public Use Microdata Areas (PUMAs), the 2020 estimate represents the seven counties in the CMAP region plus Grundy County (which shares a PUMA with Kendall County).

non-single-occupancy-modes.csv

Header Definition
YEAR Year of observation
PCT_NONSOV_CARPOOL Percentage of workers carpooling to work
PCT_NONSOV_TRANSIT Percentage of workers taking public transportation (excluding taxis) to work
PCT_NONSOV_BIKE Percentage of workers bicycling to work
PCT_NONSOV_WALK Percentage of workers walking to work
PCT_NONSOV_HOME Percentage of workers working at home
PCT_NONSOV_TOTAL Percentage of workers traveling to work by any non-SOV mode (PCT_NONSOV_CARPOOL + PCT_NONSOV_TRANSIT + PCT_NONSOV_BIKE + PCT_NONSOV_WALK + PCT_NONSOV_HOME)
ACTUAL_OR_TARGET Actual if the record is from observed data; Target if it is an ON TO 2050 target

Source: CMAP analysis of the U.S. Census Bureau’s American Community Survey (ACS)

Geography: Seven-county CMAP region