Atlantic City, NJ Urbanized Area Congestion Report
In the line graphs below, FHWA uses Data Collection Year instead of Data Reporting Year to represent snapshot condition/performance at the time the data was collected. More information
The Atlantic City, NJ Urbanized Area covers parts of New Jersey. Targets are agreed upon by several transportation agencies and apply to the entire area.
Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita
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Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita 2021 2022 2023 2024 2025 Condition/Performance 6.1 -- -- -- -- Targets -- -- 6.3 -- 6.2
Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita
- Basis for Targets
- 2-yr Progress
- Basis for 4-yr Target Adjustment
- 4-yr Planned Activities
- 4-yr Progress
(New Jersey) As written above, the established targets are based largely on historical trends. The main tool utilized to establish the PHED target was the Regional Integrated Transportation Information System (RITIS) tool, maintained by the University of Maryland’s Center for Advanced Transportation Technology (CATT) lab.1 Past performance from 2017 was analyzed. From 2017 to the onset of the pandemic in March 2020, PHED per capita in the AC UZA has been declining. From July 2020, as the lockdown was lifted, PHED per capita, has started to increase gradually. In addition to the numbers reported by RITIS, SJTPO staff compiled a list of major projects in SJTPO’s current capital program, CMAQ list, as well as a list of projects provided by the City of Atlantic City that were likely to impact PHED per capita in the AC UZA. These consisted primarily of signal synchronization projects as well as road diets. While in the short-term (which SJTPO defined as one year or less), these projects may cause a slight uptick in PHED, in the long-term, which SJTPO is defining as longer than one year, members of the AC UZA Coordination Group anticipate some mitigation of congestion. To actually “set” the targets, based on the existing baseline of 6.1 person-hours/capita, SJTPO staff conceived three scenarios • An “high/pessimistic” scenario, in which PHED per capita was assumed to increase at the rate seen from 2020 to 2021, through the end of performance period in 2025. •?A “conservative/flatline” scenario, in which there is projected to be a slight increase in PHED from 2021 to 2023 to reflect the increase in delay due to the construction projects, followed by a slight decline in PHED from 2024-2025, due to an attenuation of congestion due to the completion of the projects.
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Data Sources:
New Jersey 2022 Biennial Performance Report
New Jersey 2022 HPMS Data Submittal
Non-Single Occupancy Vehicle (Non-SOV) Travel
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Non-Single Occupancy Vehicle (Non-SOV) Travel 2021 2022 2023 2024 2025 Condition/Performance 25.4 -- -- -- -- Targets -- -- 24.1 -- 23.7
Non-Single Occupancy Vehicle (Non-SOV) Travel
- Basis for Targets
- 2-yr Progress
- Basis for 4-yr Target Adjustment
- 4-yr Planned Activities
- 4-yr Progress
(New Jersey) In establishing the 2- and 4-year %non-SOV targets for the AC UZA region, SJTPO looked at a number of different datasets. Results from both the 5-year ACS as well as the 1-year ACS from 2010 to 2020 were examined. Looking at non-overlapping 5-year ACS datasets, there was a slight decline in %non-SOV from the 2006-2010 ACS to the 2016 to 2020 ACS, from 26.10% to 25.40%. Results from each of the 1-year ACS datasets were analyzed as well. While there were some fluctuations in the values reported from the 1-year ACS compared to the 5-year ACS, there was still a very slight decline between 2010 and 2019. A 5-year rolling average based on the 1-year ACS data back to 2013 was also drawn to more clearly delineate the overall historical trends in this measure. In addition to reviewing ACS data, past trends of other indicators were examined to get an overall sense of the context. These “related” indicators included population, both in the SJTPO region as well as the Atlantic City Urbanized Area, employment, vehicle-miles traveled (VMT), transit ridership within the region, as well as percentage of people working from home. With the exception of employment, which has been essentially flat since 2010, all of these indicators have been trending downward. In addition to the trends shown by past indicators, future population and VMT projections were analyzed. Both of these indicators depicted very small increases, with annual growth rates of 0.11% and 0.08%, respectively.
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Data Sources:
New Jersey 2022 Biennial Performance Report
New Jersey 2022 HPMS Data Submittal