Investigation of Tools and Technology for Roadside Vegetation Asset Management (2025)

Chapter: Appendix C: Nationwide Survey Results

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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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APPENDIX C: Nationwide Survey Results

Initial Survey

The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows five types of roadside vegetative asset management plans within the respondent's DOT. The data given in the graph in percent values are as follows: Complete: 0.0; Late development: 7.1; Mid development: 21.4; Early development: 25.0; and Do not have one: 46.4.
Figure C-1: Respondents were asked what the status of roadside vegetative asset management plans were within their DOT. There were twenty-eight respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of decisions. The data given in the graph in percent values are as follows: Not Applicable: 3.9; Unknown: 3.9; Strongly Disagree: 7.7; Disagree: 26.9; Neutral: 26.9; Agree: 23.1; and Strongly Agree: 7.7.
Figure C-2: The percentage of twenty-six respondents who utilize tools and technology for determining vegetation management.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows twelve types of responses for the amount of work completed. The data given in the graph in percent values are as follows: Not Sure: 14.8; 0-9: 7.4, 10-19: 7.4; 20-29: 7.4; 30-39: 3.7; 40-49: 3.7; 50-59: 14.8; 60-69: 0.0; 70-79: 11.1; 80-89: 11.1; 90-99: 3.7; and 100: 14.8.
Figure C-3: The amount of Roadside Vegetation Asset Management work that is completed by in-house staff. Twenty-seven organizations responded to this question.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows three types of responses. The data in the graph in percent values are as follows: Not Sure: 17.9; No: 25.0; and Yes: 57.1.
Figure C-4: The percentage of twenty-eight respondents who have implemented new software or hardware within the past ten years.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: Not Applicable: 3.6; Not Sure: 21.4; Yes: 21.4; and No: 53.6.
Figure C-5: The percentage of twenty-eight respondents who are currently piloting new vegetation asset management equipment.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven responses, agree or disagree, that the current measurement is needed with the current mapping procedures. The data in the graph in percent values are as follows: Not Applicable: 25.0; Unknown: 3.6; Strongly Disagree: 21.4; Disagree: 21.4; Neutral: 14.3; Agree: 14.3; and Strongly Agree: 0.0.
Figure C-6: The percentage of twenty-eight respondents who agreed or disagreed that they are currently measuring what they need to with current mapping procedures. Only 14% of respondents stated that their organization was measuring what it needed to with the current mapping system.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows five types of responses. The data in the graph in percent values are as follows: Hardware: 3.9; Software: 7.7; Manually: 7.7; Not Sure: 23.1; and Both: 57.7.
Figure C-7: Twenty-six respondents identified if the mapping of vegetation assets is completed manually or through software or hardware. Most respondents stated that their organization completes mapping through both manual and software/hardware.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows eighteen types of software or hardware. The data in the graph in percent values are as follows: 5G or Small Cell Software: 0.0; Thermal Profiling (I R) Software: 0.0; Reality Capture Software: 0.0; Modeling Software: 0.0; Intelligent Compaction (I C) Software: 0.0; Augmented Reality (A R) Software: 0.0; Digital As-Builts Software: 4.2; 3D Laser Software: 8.3; Remote Sensing Software: 12.5; Other-Write In: 16.7; Planning Software: 16.7; Global Navigation Satellite System: 16.7; Unmanned Aerial System: 29.2; G P S Unit: 41.7; Computer: 62.5; Cellular Device: 62.5; Tablet: 66.7; and Mapping Software: 75.0.
Figure C-8: Type of software or hardware currently being utilized by DOTs nationwide for RVAM. There were twenty-four respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows thirteen types of responses. The data in the graph in percent values are as follows: Mulched Areas: 14.3; Not Sure: 14.3; Remnant Habitats: 14.3; Wildlife Connectivity Features: 17.9; Native Vegetation: 17.9; Turfgrass: 25.0; Pollinator Habitats: 28.6; Trees or Forest Stands: 32.1; Other-Write In: 39.3; Wetlands: 42.9; Weed Presence: 46.4; Threatened or Endangered Species: 46.4; and Vegetation Safety Features: 57.1.
Figure C-9: Vegetative assets tracked regularly by state DOTs. There were twenty-eight respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven responses, agreeing or disagreeing that the organization supplements land management records with maps. The data in the graph in percent values are as follows: Not Applicable: 21.4; Unknown: 7.1; Strongly Disagree: 17.9; Disagree: 17.9; Neutral: 21.4; Agree: 14.3; and Strongly Agree: 0.0.
Figure C-10: The percentage of twenty-eight respondents who agreed or disagreed that their organization supplements land management records with maps.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven responses, agreeing or disagreeing that the vegetative asset information is updated with each maintenance visit. The data in the graph in percent values are as follows: Not Applicable: 32.1; Unknown: 3.6; Strongly Disagree: 3.6; Disagree: 28.6; Neutral: 14.3; Agree: 17.9; and Strongly Agree: 0.0.
Figure C-11: The percentage of twenty-eight respondents who agreed or disagreed that vegetative asset information is updated with each maintenance visit.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows eight types of responses that prevented the development of an RVAM plan or progression in vegetation asset management. The data in the graph in percent values are as follows: Not Applicable: 0.0; Knowledge of management strategies: 0.0; Other-Write In: 33.3; Cost: 33.3; Time: 66.7; Staff training: 66.7; Staff availability: 66.7; and Not a priority: 66.7.
Figure C-12: Respondents identified what has prevented the development of an RVAM plan or progression in vegetation asset management. Three respondents answered the survey question that asked what prevented the development of the RVAM plan or prevented the progression of the RVAM plan.

Targeted Survey

The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows two types of responses. The data in the graph in percent values are as follows: No: 43.8 and Yes: 56.3.
Figure C-13: Respondents were asked if their state DOT had purchased tools and technology to complete RVAM. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis displays seven types of Likert responses ranging from positive to negative. It shows the type of impact the implementation of new tools and technology has on the financial return on investments (R O I). The data in the graph in percent values are as follows: Not Applicable: 3.6; Unknown: 25.0; Negatively: 0.0; Somewhat Negatively: 0.0; Neutral: 18.8; Somewhat Positively: 31.3; and Positively: 18.8.
Figure C-14: Respondents were given a variation of a Likert response where answers ranged from positively to negatively for what type of impact the implementation of new tools and technology has had on the financial return on investments (ROI). There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The illustration shows a color-coded legend at the bottom: grey: Not Applicable, purple: Strongly Disagree or Disagree, green: Strongly Agree or Agree, blue: Unknown, and orange: Neutral. The horizontal bars are arranged in a single column, each containing a certain percentage of the legend details. The responses were recorded for each part of this question, except for the operating budget, which had only fifteen respondents. The data shown are as follows: Staff Hours: grey: 18.75, purple: 18.75, orange: 56.25, and green: 6.25. Staff training: grey: 25.00, purple: 18.75, orange: 43.75, and green: 12.50. Response time for inquiries and complaints: grey: 31.25, blue: 6.25, purple: 6.25, orange: 25.00, and green: 31.25. External communications: grey: 18.75, blue: 12.50, purple: 12.50, orange: 25.00, and green: 31.25. Analytical tools: grey: 25.00, purple: 6.25, orange: 37.50, and green: 31.25. Operating budget: grey: 13.33, blue: 6.67, purple: 13.33, orange: 33.33, and green: 33.33. Data storage: grey: 18.75, blue: 12.50, orange: 31.25, and green: 37.50. Interdepartmental communication: grey: 18.75, purple: 6.25, orange: 37.50, and green: 37.50. Vegetation maintenance cycle: grey: 18.75, purple: 12.50, orange: 25.00, and green: 43.75. Maintenance operation logistics: grey: 18.75, purple: 12.50, orange: 18.75, and green: 50.00. Data tracking: grey: 12.50, blue: 12.50, orange: 25.00, and green: 50.00. Vegetation planning: grey: 12.50, purple: 6.25, orange: 31.25, and green: 50.00. Mapping: grey: 25.00, purple: 6.25, orange: 6.25, and green: 62.50.
Figure C-15: Likert Scale responses to various items that are impacted by tools and technologies. There were sixteen respondents to each part of this question with the exception of operating budget which only had fifteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0. The vertical axis shows nine types of responses. The data in the graph in percent values are as follows: Other-Write In: 12.5; Herbicide to Slow Growth (P G R): 50.0; String Trimming: 62.5; Herbicide to create bare ground: 75.0; Tree pruning: 81.3; Tree removal: 100.0; Mowing: 100.0; Herbicide for invasive species removal: 100.0; and Brush mowing: 100.0.
Figure C-16: Respondents were asked to select commonly used vegetation management practices within their state DOTs from a list. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven responses on the importance of native plant management to the state DOT. The data in the graph in percent values are as follows: Not Applicable: 0.0; Unknown: 6.3; Strongly Disagree: 0.0; Disagree: 12.5; Neutral: 18.8; Agree: 50.0; and Strongly Agree: 12.5.
Figure C-17: Using a Likert Scale respondents were asked to determine their opinion on whether native plant management is important to their state DOT. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 0.0; Unknown: 6.3; Strongly Disagree: 0.0; Disagree: 12.5; Neutral: 37.5; Agree: 31.3; and Strongly Agree: 12.5.
Figure C-18: Respondents were asked to rank whether they agreed that RVAM was a primary goal for their state DOT’s maintenance plan. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 0.0; Unknown: 6.7; Strongly Disagree: 6.7; Disagree: 26.7; Neutral: 26.7; Agree: 20.0; and Strongly Agree: 13.3.
Figure C-19: Respondents were asked whether maintaining vegetation management records is a key component for their state DOT. There were fifteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows three types of responses. The data in the graph in percent values are as follows: No: 0.0; Not Sure: 18.8; and Yes: 81.3.
Figure C-20: State DOTs were asked if their state has an invasive species law. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 0.0; Unknown: 6.7; Strongly Disagree: 20.0; Disagree: 6.7; Neutral: 33.3; Agree: 20.0; and Strongly Agree: 13.3.
Figure C-21: Whether invasive plant species management is a top priority of their state DOT. There were fifteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 0.0; Unknown: 6.3; Strongly Disagree: 6.3; Disagree: 12.5; Neutral: 37.5; Agree: 25.0; and Strongly Agree: 12.5.
Figure C-22: Limiting the spread of invasive pests and diseases is a key aspect to their state DOT. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 6.3; Unknown: 12.5; Strongly Disagree: 12.5; Disagree: 31.3; Neutral: 6.3; Agree: 18.8; and Strongly Agree: 12.5.
Figure C-23: State DOT staff are trained in invasive vegetation species identification. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 6.3; Unknown: 12.5; Strongly Disagree: 18.8; Disagree: 31.3; Neutral: 6.3; Agree: 25.0; and Strongly Agree: 0.0.
Figure C-24: State DOT staff are trained in tree disease and pest identification. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows nine types of responses. The data in the graph in percent values are as follows: Customer service organization: 6.3; None: 12.5; Other-Write In: 18.8; Vegetation tracking: 18.8; Workflow management: 18.8; Measuring metrics: 25.0; New hardware: 31.3; Vegetation mapping: 50.0; and New software: 50.0.
Figure C-25: The types of tools and technology that have been implemented over the last ten years. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: No: 0.0, It is preferred but not required: 6.3, Yes: 18.8, and Not sure: 75.0.
Figure C-26: Does the state DOT require a part of the software or hardware systems to be domestically based? There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: Other-Write In: 33.3, Hardware manufacturer: 66.7, Software manufacturer: 100.0, and Data storage: 100.0.
Figure C-27: The part of the system required to be domestically based. There were three respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows five types of responses. The data in the graph in percent values are as follows: No: 0.0; Not applicable: 12.5; Not sure: 12.5; Other-Write In: 25.0; and Yes: 50.0.
Figure C-28: Environmentally sensitive areas are recorded. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows five types of responses. The data in the graph in percent values are as follows: Other-Write In: 12.5, None: 25.0, Flagged: 25.0, Fenced Off: 25.0, and Signage: 50.0.
Figure C-29: The state DOTs that indicated that environmentally sensitive areas are tracked were asked how the areas are tracked in the field. There were eight respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: External: 0.0, Not sure: 6.3, Internal: 37.5, and Combination of the two: 56.3.
Figure C-30: State DOTs use an internal IT department, an external IT department, or a combination of both. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows three types of responses. The data in the graph in percent values are as follows: Not sure: 18.8, Yes: 37.5, and No: 43.8.
Figure C-31: Issues encountered obtaining IT assistance with software or hardware issues. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows five types of responses answered by the respondents who encountered issues when obtaining IT assistance. The data in the graph in percent values are as follows: Other-Write In: 0.0, IT rejected software upgrade: 16.7, Cost: 33.3, Limited access for third party: 83.3, and Delayed response time: 100.0.
Figure C-32: The type of issues encountered when obtaining IT assistance. The six respondents who respondents that their organization had encountered issues when obtaining IT assistance answered.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: Not yet, but we are open to the idea: 0.0, No: 12, Not sure: 37.5, and Yes: 50.0.
Figure C-33: Use a cloud-based data storage system. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses of the state DOTs using a cloud-based data storage system. The data in the graph in percent values are as follows: Not sure: 12.5, Third party: 12.5, Internal: 37.5, and Combination of the two: 37.5.
Figure C-34: The eight state DOTs who use a cloud-based data storage system responded to what type of IT department is used when support is needed from an IT department.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows six types of responses. The data in the graph in percent values are as follows: Not applicable: 6.3, Additional explanation-write in: 12.5, Third party: 12.5, Internal local: 18.8, Not sure: 37.5, and Internal central: 43.8.
Figure C-35: The type of server utilized within the state DOT. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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Additional Survey Results

Initial Survey

The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Noncontiguous: 0.0, Southwest: 10.7, Pacific: 10.7, Rocky Mountains: 14.3, Northeast: 17.9, Southeast: 21.4, and Midwest: 25.0.
Figure C-36: US region survey respondent is from. There were twenty respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows thirteen types of responses. The data in the graph in percent values are as follows: Remnant habitats: 11.1, Not sure: 14.8, Other-write in: 18.5, Wetlands: 18.5, Vegetation safety features: 18.5, Turfgrass: 18.5, Mulched Areas: 18.5, Threatened or endangered species: 25.9, Wildlife connectivity features: 29.6, Weed presence: 33.3, Trees or forest stands: 33.3, Native Vegetaion: 48.2, and Pollinator habitats: 55.6.
Figure C-37: Vegetation assets respondents desire to be tracked. There were twenty-seven respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: Not sure: 7.1, It is in progress: 25.0, Yes: 28.6, and No: 39.3.
Figure C-38: Recording and analysis of geographic data for roadside vegetation assets. There were twenty-eight respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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Targeted Survey

The graph shows data on 16 respondents. The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Unknown: 18.8; Other-Write In: 18.8; Have not been updated: 18.8; More than 10: 6.3; 3-10: 0.0; 1-2: 18.8; and Less than one: 18.8.
Figure C-39: The last time Roadside Vegetation Asset Management tools and technology were updated. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows nine types of responses from the three respondents, stating that the state DOTs' tools and tech have not been updated in the past ten years. The data in the graph in percent values are as follows: Not applicable: 0.0, Other-write in: 33.3, Staff training: 33.3, Knowledge of available tools and technology: 33.3, IT security concerns: 33.3, Not a priority: 66.7, Time: 66.7, Staff availability: 66.7, and Cost: 66.7.
Figure C-40: The three respondents who stated that their state DOTs tools and tech have not been updated in the past ten years identified the factors that prevented the purchase of tools and technology for use in vegetation asset management.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows three types of responses. The data in the graph in percent values are as follows: Line: 64.3, Polygon: 71.4, and Point: 78.6.
Figure C-41: The mapping vectors used most frequently among the fourteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses from the eight state DOTs that indicated that environmentally sensitive areas are tracked. The data in the graph in percent values are as follows: Paper mapping: 12.5, Other-write in: 25.0, Vector: 50.0, and Point: 50.0.
Figure C-42: The eight state DOTs that indicated that environmentally sensitive areas are tracked in Figure C-28 were then asked how the areas are tracked in a database.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 0.0; Unknown: 12.5; Strongly Disagree: 6.3; Disagree: 0.0; Neutral: 12.5; Agree: 56.3; and Strongly Agree: 12.5.
Figure C-43: The importance of native species management to RVAM. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 12.5, Unknown: 43.8, Reducing: 0.0, Somewhat reducing: 0.0, Neutral: 31.3, Somewhat increasing: 12.5, and Increasing: 0.0.
Figure C-44: Impact new tools and technology have had on staff hours. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows six types of responses. The data in the graph in percent values are as follows: Other-write in: 12.5, Not sure: 12.5, No: 18.8, Point: 37.5, Polygons: 43.8, and Lines: 62.5.
Figure C-45: Identification of the ways that ROWs are digitally mapped. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: Plant Growth Regulator: 0.0; Pruning: 6.3; Other Write-In: 12.5; and Mowing: 87.5.
Figure C-46: Ways vegetation growth is limited along the ROW. There were sixteen respondents.
The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows seven types of responses. The data in the graph in percent values are as follows: Not Applicable: 6.3; Unknown: 12.5; Strongly Disagree: 6.3; Disagree: 12.5; Neutral: 31.3; Agree: 31.3; and Strongly Agree: 0.0.
Figure C-47: State DOT staff are trained to identify tree risk hazards. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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The horizontal axis shows percentage values from 0.0 to 100.0 in increments of 20.0. The vertical axis shows four types of responses. The data in the graph in percent values are as follows: Other-Write In: 6.3, No: 18.8, Yes: 25.0, and Not Sure: 50.0.
Figure C-48: RVAM equipment is dual-purpose. There were sixteen respondents.
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Suggested Citation: "Appendix C: Nationwide Survey Results." National Academies of Sciences, Engineering, and Medicine. 2025. Investigation of Tools and Technology for Roadside Vegetation Asset Management. Washington, DC: The National Academies Press. doi: 10.17226/29248.
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Next Chapter: Appendix D: Case Study Questions
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