Supporting Documentation · Apr 24, 2024
138-24 Exhibit to Resolution Adopting the Township of West Orange Vision Zero Action Plan.pdf
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ENVIRONMENTAL JUSTICE In the context of Vision Zero, it is important to acknowledge that many groups face different barriers to safe travel on the road network. Because the needs of certain groups vary, identifying the locations of various vulnerable groups is important for the prioritization of improvements across West Orange. Equity Factors The North Jersey Transportation Planning Authority's Equity Analysis Tool assesses census tracts based on the status of populations included in US Executive Order 12898 on Environmental Justice and in Title VI of the US Civil Rights Act. There are 11 factors through which populations are assessed in this tool based on their respective share of each: Minority, Low Income, Limited English Proficiency, Disability, Age (<5 years old, 5-17 years old, 65+ years old), Foreign-Born, Female Population, Zero-Vehicle Households, and Educational Attainment (less than high school degree). For this demographic analysis, the team analyzed the following nine factors, as identified by the Vision Zero Task Force, per NJTPA's Equity Analysis Tool: • Minority - The minority factor identifies populations described in Title VI of the Civil Rights Act, FHWA and FTA's Title VI guidelines and Executive Order 12898, all of which prohibit discrimination based on race. Data collected for this factor include all persons who are not single-race White and Non-Hispanic or Latino. • Low Income Households - The low income factor addresses one of the population groups defined in Executive Order 12898 on Environmental Justice (EJ) as well as the Federal Highway Administration and Federal Transit Administration's guidance on EJ policy. These policies seek to identify impacts of transportation investments, programs and projects on low-income people. Data collected for the factor represents a percentage of a specific geographic area’s population in households where the household income is less than or equal to twice the federal poverty level. • Limited English Proficiency - This factor addresses Title VI and Executive Order 13166 , as well as FTA's Title VI guidance that requires recipients of federal funding to "take reasonable steps to ensure meaningful access to their programs and
and Executive Order 13166 , as well as FTA's Title VI guidance that requires recipients of federal funding to "take reasonable steps to ensure meaningful access to their programs and activities by LEP persons." Data collected for the factor represents all people in the region who speak a language other than English, and those who speak English less than very well. • Disability - Title VI requires agencies receiving federal funding to adhere to Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act (ADA) of 1990. These acts protect people with disabilities against discrimination. Data collected for this factor represents any person who indicated having one or more physical or mental disabilities. • Age: FHWA’s EJ recommendation and Additional Nondiscrimination Requirement suggests including children and elderly populations in discussions regarding traditionally underserved populations. Three factors were created to represent distinct age cohorts: youth, adolescents and elderly populations. Data collected for the factors represents individuals under 5 years of age, individuals between 5 and 17, and individuals 65 years old and older. 36 WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN
• Foreign-Born - The foreign-born factor represents populations included in Title VI of the Civil Rights Act and FHWA’s and FTA’s Title VI requirements and guidelines, all of which prohibit discrimination of persons in the United States based on national origin. Data collected for the factor represents all people who have indicated that they were not born in the United States. • Zero-Vehicle Households - The zero-vehicle households factor should be interpreted in concert with other measures. For example, a community well served by various mass transit modes may have a larger share of zero vehicle households, because a personal vehicle is not considered a necessity. For some, not owning a car is a lifestyle choice and not an indicator of an economically disadvantaged population. Looking at this measure alone may not provide an accurate picture of communities most in need. Data collected for the factor represent all households who have indicated that they do not have a car. The percentage of the population falling into these categories is statistically assessed relative to regional averages, with a following scale of: 0 = Very Below Average 1= Below Average 2 = Average 3 = Above Average 4 = Very Above Average These numeric ratings are based on the standard deviation from the NJTPA regional averages for each factor, with 0 and 1 being beyond two and one standard deviations below the average respectively, and 3 and 4 being beyond one and two standard deviations above the average respectively. Overall Equity Analysis There are nine census tracts in West Orange as shown in Figure 9. These maps show the location of census tracts in West Orange that fall into the "Above Average" rating for each equity factor. It is worth noting that West Orange does not have any tracts with a rating of Very Above Average for any of these categories. The following table shows the overall West Orange Township equity data compared to Essex County data. Table 2. Equity Factors in West Orange and Essex County Equity Factor West Orange Essex County Minority 55.5% 70.9% Low Income Households 10.5% 31.8% Limited English Proficiency 10.5% 15.6% Disability 9%
70.9% Low Income Households 10.5% 31.8% Limited English Proficiency 10.5% 15.6% Disability 9% 11.5% Children (Under 5 Years old) 5.1% 6.5% Youth (5-17 Years old) 15.1% 17.4% Seniors (65+ Years old) 19.3% 13.6% Foreign Born 29.5% 28.7% Zero-Vehicle Households 7.7% 22% WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN 37
Figure 8. Equity Factors by Census Tract Census Tracts with an "Above Average" Rating High-Injury Network Minority Low Income Limited English Proficiency Disability Children (Under 5 Years Old) Youth (5-17 Years Old) Seniors (Over 65 Years Old) Foreign-Born Zero-Vehicle Households Source: NJTPA Equity Analysis Tool (2017-2021) and NJDOT Safety Voyager (2015-2021) 38 WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN
Environmental Justice Composite Score The team then assigned an environmental justice score to each network segment using these factors to identify which network segments should be prioritized based on equity factors. All HIN network segments were given a composite score based on the highest average score for each factor. The figure below shows the HIN with priority segments based on the composite EJ score. The scores for each segment ranges from 0-20 with Main Street receiving the highest composite EJ score of 20. Figure 9. High-Injury Network Environmental Justice Composite Score Note: HIN corridors are all 0.5 miles, so some extend beyond West Orange borders Source: NJDOT Safety Voyager data, 2015-2021 WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN 39
PRIORITIZED HIGH- INJURY NETWORK Prioritized HIN The project team developed the final recommended HIN by combining the EJ composite score and the HIN crash score. This HIN represents the high-injury (fatal, severe and moderate injury) crash corridors and intersections prioritized based on the equity analysis. While the entire HIN should be given consideration for safety enhancements, these highest-scored corridors are the highest priority based on this analysis. As noted in the earlier section, nine factors were analyzed to develop the composite EJ score. The individual and composite EJ scores for the corridors with a combined score above 20, shown in red in Figure 10, are given in Table 1. The scores for the rest of the segments are provided in Appendix D. Table 3. Prioritized HIN Corridors - Road Details HIN HIN Corridor CROSS CROSS ROAD JURISDICTION SPEED NO. COMPOSITE SEGMENT STREET 1 STREET 2 CLASSIFICATION LIMIT OF EJ / HIN NO. LANES SCORE A Main Street Harrison Township Major Arterial County 25 4 44 Avenue Border B Mount Pleasant Gregory Main Street Major Arterial County 40 2 to 4 39 Avenue Avenue C Park Avenue Main Street Township Major Arterial County 35 4 28 Border D Eagle Rock Avenue Harrison Fairmont Major Arterial County 35 3 to 4 26 Avenue Terrace E Eagle Rock Avenue Township Sherwood Major Arterial County 35 4 24 Border Place F Northfield Avenue Pleasant Sheridan Major Arterial County 40 4 23
Border Place F Northfield Avenue Pleasant Sheridan Major Arterial County 40 4 23 Valley Way Avenue G Pleasant Valley Way Old Indian Mellon Major Arterial County 50 2 to 4 23 Road Avenue H Eagle Rock Avenue Phyllis Road Smith Major Arterial County 35 4 22 Manor Boulevard I Northfield Avenue Whittingham Main Street Major Arterial County 35 3 to 4 21 Place J Whittingham Place Northfield Valley Road Major Arterial County 25 2 to 3 21 Avenue K Gaston Street Mount Lindsley Local Road Municipal 25 2 20 Pleasant Avenue L Sayres Place Llewellyn Main Street Local Road Municipal 25 1 20 Avenue M Whittlesey Avenue Samuel Street Washington Local Road Municipal 25 2 20 Street Source: NJTPA Equity Analysis Tool (2017-2021) and NJDOT Safety Voyager (2015-2021) 40 WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN
Figure 10. Prioritized High-Injury Network E H M D L A G K C B I J F WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN 41
ENGAGEMENT OVERVIEW The project team developed a multi-pronged approach to involve the community in developing the Vision Zero Action Plan. This included assembling a Vision Zero Task Force consisting of representatives from the various organizations in town. To engage the public, the project team developed project flyers and outreach tools/materials that were presented and used at multiple public workshops and also posted on the Township's webpage. The following engagement tools were created and engagement activites were conducted: 1. Vision Zero Website 2. Vision Zero Video Series 3. Vision Zero Safety Map 4. Vizion Zero Safety Survey 5. Vision Zero Public Workshops Pictured (from left): Brian Stankus, Lt. Pat Matullo, Sangeeta Badlani, Mayor Susan McCartney, Rachana Sheth, William Riviere, Ricardo Valderrama, Paul Grygiel, Jerry Guarino WEST ORANGE TOWNSHIP: VISION ZERO ACTION PLAN 43
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