Explore Cincinnati's Job Hubs
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AM Travel Time to Job Hub (minutes)
Average AM (6 - 9) Travel Time to Job Hub (minutes)
Job Hubs Methodology
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Ohio Kentucky Indiana Regional Council of Governments (OKI) cannot guarantee the accuracy of data provided.
Job Hub identification
Initial identification of Job Hubs within Greater Cincinnati was based upon the aggregation of contiguous traffic analysis zones (TAZ) containing the top 5% of the region’s traded sector employment. Neighboring Job Hub clusters with similar spatial characteristics were combined by including TAZs containing the top 10% of traded sector employment. Emerging Job Hubs were formed with TAZs containing the top 5% of traded sector employment but not meeting all of the conditions for a Job Hub designation along with consultation from local economic development leaders.
Drive Time
Drive time estimates derived from OKI Travel Demand Model, 2015. Labor Force estimates from the U.S. Census Bureau; American Community Survey, 2017. Number of jobs in each job hub from 2020 OKI Employment Database. Bureau of Labor Statistics, Quarterly Census of Employment and Wages.
Transit-shed Polygons
Areas served by transit can vary greatly depending on the time of day. Areas shown on the map to be accessible by transit within a certain time limit represent an average created from the following process. A ‘transit-shed’ or isochrones were created for all bus stops at arrival times between 6 AM and 9 AM within a given job hub. An individual transit-shed represents the area accessible by transit for a specific bus stop at a specific time of day. Areas that were intersected by 50% or more of all transit-sheds for the hub are displayed on the map. Note that some areas shown to not be accessible may in fact be accessible depending on the time of day, and vice versa. This analysis used the General Transit Feed Schedule (GTFS) from SORTA, TANK, and BCRTA paired with a street network created from Open Street Map using the process outlined here. Labor force estimates were created using simple area weighting of OKI TAZ labor force data. Area weighting is a method of interpolating numeric data from one geography to another (more information here).
Demographics
Commuter percentages for block groups are sourced from the Longitudinal Employer-Household Dynamics (LEHD) program from the US Census Bureau and are accessed from the On the Map application. Those percentages are then applied to the jobs data utilized by the OKI Job Hub application to arrive at total in-commuter, out-commuter, and live/work populations. In a few cases, the job hub boundaries differ from the block group boundaries and create a discrepancy in the data. In those cases, totals were adjusted on a case-by-case basis. In some cases, it was apparent that the job hub boundaries excluded residential development so the out-commuter and live/work totals were adjusted to zero. In other cases, residential units were counted and the totals were factored based on expected employees per household.
Job Hubs Methodology
Job Hub identification
Initial identification of Job Hubs within Greater Cincinnati was based upon the aggregation of contiguous traffic analysis zones (TAZ) containing the top 5% of the region’s traded sector employment. Neighboring Job Hub clusters with similar spatial characteristics were combined by including TAZs containing the top 10% of traded sector employment. Emerging Job Hubs were formed with TAZs containing the top 5% of traded sector employment but not meeting all of the conditions for a Job Hub designation along with consultation from local economic development leaders.
Demographics
Commuter percentages for block groups are sourced from the Longitudinal Employer-Household Dynamics (LEHD) program from the US Census Bureau and are accessed from the On the Map application. Those percentages are then applied to the jobs data utilized by the OKI Job Hub application to arrive at total in-commuter, out-commuter, and live/work populations. In a few cases, the job hub boundaries differ from the block group boundaries and create a discrepancy in the data. In those cases, totals were adjusted on a case-by-case basis. In some cases, it was apparent that the job hub boundaries excluded residential development so the out-commuter and live/work totals were adjusted to zero. In other cases, residential units were counted and the totals were factored based on expected employees per household.
Job Hubs Methodology
Drive Time
Drive time estimates derived from OKI Travel Demand Model, 2015. Labor Force estimates from the U.S. Census Bureau; American Community Survey, 2017. Number of jobs in each job hub from 2020 OKI Employment Database. Bureau of Labor Statistics, Quarterly Census of Employment and Wages.
Job Hubs Methodology
Transit-shed Polygons
Areas served by transit can vary greatly depending on the time of day. Areas shown on the map to be accessible by transit within a certain time limit represent an average created from the following process. A ‘transit-shed’ or isochrones were created for all bus stops at arrival times between 6 AM and 9 AM within a given job hub. An individual transit-shed represents the area accessible by transit for a specific bus stop at a specific time of day. Areas that were intersected by 50% or more of all transit-sheds for the hub are displayed on the map. Note that some areas shown to not be accessible may in fact be accessible depending on the time of day, and vice versa. This analysis used the General Transit Feed Schedule (GTFS) from SORTA, TANK, and BCRTA paired with a street network created from Open Street Map using the process outlined here. Labor force estimates were created using simple area weighting of OKI TAZ labor force data. Area weighting is a method of interpolating numeric data from one geography to another (more information here).