Description: A primary goal in the Resilient New Orleans Strategic Vision Plan is transform city systems to better connect people employment and essential services. This model identifies key corridors that connect people to employment. Using Network Analyst Closest Facility tool we identified the most direct routes with potential for active transportation demand from center of block groups to anchor institutions (businesses with greater than 1000 employees), 2) from center of block groups to employment centers (areas with high density of large businesses of greater than 50 employees and less than 1000). All routes were buffered by 200ft to identify general corridors and assigned moderate priority (3) and routes overlapping areas with dense population were assigned additional priority high (4) and very high (5) using natural breaks classification.
Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the connect geodatabasehelp explore priority areas of the city for connecting and expanding walk-bike corridors. (Highest priority areas are in red). CT04 identifies areas within a 10-minute walk of a public school as well as closest routes from pubic transportation to middle and high schools.A primary goal in the Resilient New Orleans Strategic Vision Plan is to provide transportation options that improve getting students to schools. This model identifies key corridors that connect middle and high school students from nearest bus stops as well as areas within 10 minute walk of existing schools. Using Network Analyst Closest facility tool, we identified the 5 most direct routes from existing middle and high schools to the nearest bus stops. All routes were buffered by 200ft to identify general corridors students might use to get from public transit to their school and assigned very high priority (5). A ten minute walk from every school was then derived to identify opportunities for transportation improvement for younger students walking and biking to school and assigned high priority value (4).
Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the connect geodatabasehelp explore priority areas of the city for connecting and expanding walk-bike corridors. (Highest priority areas are in red). CT05 identifies areas within the city that are more than a 10-minute walk from a park.Connecting neighborhood residents to parks and open space for walking, jogging, and bicycling is a key goal for promoting active and healthy lifestyles . The Trust for Public Land's ParkScore® index is based on the percentage of the population living within a ten-minute (half-mile) walk of a public park. The half-mile is defined as entirely within the public road network and uninterrupted by physical barriers such as highways, train tracks, rivers, and fences. TPL's mapping technology identifies which neighborhoods and demographics are underserved by parks and how many people are able to reach a park within a ten-minute walk. org. Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.
Description: Improving pedestrian and bicycle safety is key objective of New Orleans complete street policy. In a recent report (Dangerous by Design), Louisiana ranked as the 3rd most dangerous state for pedestrian safety and New Orleans was the 38th worst metropolitan area for bicycle and pedestrian safety. This model identifies areas where risk of collision is highest based on past collision locations. Hot spots of pedestrian collisions within the neighborhood of 1/8 mile from 2010 to 2015 were derived using a kernel density where added value was given to accidents that resulted in fatalities and serious injury. Priority value assigned using a natural breaks classification.
Description: Improving pedestrian and bicycle safety is key objective of New Orleans complete street policy. In a recent report (Dangerous by Design), Louisiana ranked as the 3rd most dangerous state for pedestrian safety and New Orleans was the 38th worst metropolitan area for bicycle and pedestrian safety. This model identifies areas where risk of collision is highest based on past collision locations. Hot spots of bicycle collisions within the neighborhood of 1/8 mile from 2010 to 2015 were derived using a kernel density where added value was given to accidents that resulted in fatalities and serious injury. Priority value assigned using a natural breaks classification.
Description: Using Network Analyst Closest facility tool, we identified the most direct routes that would connect gaps in the existing bike network. This model was re-run using scaled cost for routes that did not provide access to employment centers. All routes were buffered by 200ft to identify general corridors and assigned moderate priority (3). Corridors with more overlap were assigned additional priority high (4) and very high (5) using natural breaks classification.
Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the connect geodatabasehelp explore priority areas of the city for connecting and expanding walk-bike corridors. (Highest priority areas are in red). CT07 idenitifies areas in the city that are more than 10-minute walk from public transportation as well as those areas with significant number of people that lack access to frequent public transit.Access to reliable and affordable public transportation is essential to enhancing quality of life as well as reducing green house emissions for a city's population. This model prioritizes areas where city residents are more than a 10 minute walk from available public transportation as well as areas where there is a need for additional public transportation. Areas more than a 10 minute walk from public transportation stop were assigned a very high priority value (5). Areas within a 10 minute walk of public transit where the max wait time is more than 60 minutues and that have a significant number of people was assigned high priority value of (4). Areas within a 10 minute walk of public transit where the max wait time is more than 30 minutues and that have a significant number of people was assigned moderate priority value of (3).Service Areas were derived using network analyst. Areas of significant population were determined using ESRI's 2014 Estimated Demographics and u=includes Population per square mile. Significant population was condisered population >= 6153. Frequency of transit was derived using the Better Bus Buffer tools developed by ESRI (https://github.com/Esri/public-transit-tools/tree/master/better-bus-buffers).Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.
Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the connect geodatabasehelp explore priority areas of the city for connecting and expanding walk-bike corridors. (Highest priority areas are in red). CT03 identifies corridors with potential demand for connecting tourists to key tourist destinations.New Orleans has a thriving tourist industry and ensuring safe walkable/bikeable paths to major tourist destinations is a key component of Resilient New Orleans Plan. This model identifies key corridors that connect people key cultural facilities used by tourists . Using Network Analyst Closest facility tool, we identified the most direct routes with potential for active transportation demand from hotels to key cultural facilities. Additional routes where major arterials entered into and traversed key historic districts. All routes were buffered by 200ft to identify general corridors and assigned moderate priority (3). Corridors with more overlap were assigned additional priority high (4) and very high (5) using natural breaks classification.Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.