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Economic Benefits of Remote Sensing in Transportation: Case Studies of Environmental Analysis in Transportation Planning
NOTE: Information regarding cost/benefit analysis of remote sensing in transportation planning is provided by our colleagues at Auburn University.

Introduction
Case Study Projects
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Introduction
The use of remote sensing in environmental analysis of transportation planning is the focus of the National Consortium for Remote Sensing in Transportation - Environment (NCRST-E). To locate new or relocate existing transportation facilities in a cost effective manner, information about corridor terrain is required. This information is used to design and evaluate alternative alignments and grades for alternative corridor locations. The traditional method of collecting this information has been time consuming and expensive ground surveys and photogrammetric mapping. Data collection using the latter technique is typically limited to early spring and late fall based on the need for cloudless skies, leaf-off conditions, and appropriate sun angle. Data collection using ground surveys is impractical for large projects and the safety of the data collectors is precarious due to need do survey work in close proximity to existing roadways. The data collection process using photogrammetry is less difficult in the field but the analysis of the data is extensive. The end result is that traditional methods require a substantial amount of time between initiation and completion of the transportation corridor.

In many cases, only the final design stages of corridor project requires the accuracies provided by conventional photogrammetric processing. Use of remote sensing opens up the possibility of limiting expensive and time-consuming photogrammetric work to the final alignment of the corridor. New more sophisticated methods of surface mapping, light Detection and Ranging (LIDAR), and digital photography may be used for planning stages resulting in a more targeted photogrammetric data collection process. This latter process could be limited to a much smaller area, thus reducing time and cost.

LIDAR data has great potential in expediting the planning and location stages but is not currently capable of replacing photogrammetric data in the final alignment design. Designers will be able to start preliminary analysis much sooner through the use of LIDAR data. Environmental conditions (e.g. sun angle, leaf off, cloud cover) will not delay the process with LIDAR to the degree they do with photogrammetry. Aerial imagery and LIDAR data can be collected concurrently, thus decreasing the days during the year when data cannot be collected. The increased availability of data would allow terrain to be analyzed earlier in the location process, allowing potential problems and issues to be identified and addressed earlier. LIDAR data has an advantage early in the siting process and photogrammetry is favored when more intensive data analysis is needed to define final corridor alignment. Using LIDAR data can produce time and cost savings through more expedient data collection on a large corridor scale; more costly time consuming methods would only needed on a much more limited area.

As part of the NCRST-E effort, estimates of time and cost reduction associated with remote sensing techniques compared to traditional techniques have been initiated. These estimates should be viewed as a first attempt to quantify the economic rationale for employing remote sensing in environmental applications. The results of three projects are reported here; as the use of this technology is more broadly used, its economic viability will be demonstrated with greater rigor.
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Case Study Projects
The amount of economic data that was collected for each study varies greatly based largely on the fact that estimation of economic benefits was a central objective of the Washington I-405 study and was estimated after completion of the Iowa and North Carolina studies. Although the data from these case studies are not in a standardized form, there are commonalities in some of the economic data collected and discussed.

Washington I-405 Corridor
Background
Collaboration among the Washington State Department of Transportation (WSDOT), Oak Ridge National Laboratory, ERDAS, Inc., Space Imaging, the U.S. Environmental Protection Agency, Wisconsin DOT, and the Puget Sound Regional Council initiated an effort to document the use of remote sensing to find faster and better ways of completing the environmental assessment processes required for transportation corridors like Washington State's I-405 Corridor. The overall project consisted of over 150 smaller projects. The region has some of the most stringent state and local environmental regulations in the nation. The environmental assessment processes, under the National Environmental Policy Act (NEPA), were initiated in 1998 and completed in 2002. This project's major objective was to demonstrate and assess the applicability of commercial remote sensing products and spatial information technologies to environmental analysis in transportation planning, using the I-405 corridor in Washington State as a test case.

Methods Used
The Washington case study involved a very large number of projects and used a survey method in conjunction with project costs to determine cost and time savings associated with remote sensing. This case study divided the environmental planning studies into different "disciplines" and focuses much of its economic analysis to determine the varying levels of benefits that remote sensing delivered to the different disciplines. The Washington case study not only addressed possible reductions in time and cost associated with remote sensing technology but also attempted to evaluate the potential increase in value of the remote sensing data generated analysis.

A major complication in using this "disciplines" approach to estimate costs of the remote sensing/GIS products is that remote sensing data is not collected separately for each discipline. Typically much of the Land use and land cover (LULC) classification is done simultaneously for different disciplines. Because costs were not collected separately for each discipline, an average cost per discipline was estimated by dividing by the number of disciplines in which LULC maps were used. The costs of developing, compiling, and presenting the information, data, and maps in the environmental impact statement were obtained from the contractor team responsible for the different disciplines. Time estimates to complete the remote sensing/GIS and Environmental Impact Statement (EIS) products were based on the actual calendar time, not person months or full time equivalent time calculations.

The study noted several cost advantages to using remote sensing techniques that were not able to be assessed or documented in this study: economies of scale, geographic scale, and transferability, Economies of scale are realized through the ability to complete LULC classification for several LULC categories concurrently. Geographic scale benefits result from decreasing incremental cost of increasing study area. Cost advantages are also associated with transferability of classification algorithms to many sites.

Potential increased value of the remote sensing/GIS products was estimated through a survey to potential users asking that they assess the value and usefulness of the products. It is important to note that the increased value discussed in this case study result from a survey of 13 respondents and not from remote sensing experts. Information about the value of the remote sensing/GIS products, their usefulness, and suggestions for improvement were requested. Some respondents provided answers for disciplines separately, some answered for all disciplines in general.

Results
Cost ComparisonsTable 1 lists the costs of completing the environmental impact statement for each of the 11 disciplines. The first and third columns report cost and time respectively, using the traditional method and the second and fourth columns provide estimates of cost and time using remote sensing/GIS methods. The average cost of producing the remote sensing/GIS products was about $6,000 per environmental discipline. With remotely sensed imagery, data processing time and costs and the time and costs of producing maps and related spatial statistics increase marginally with the number of environmental disciplines. That is, the total time and cost of developing remote sensing/GIS products for eleven disciplines is not much greater than the time and cost for one discipline. The estimated time to complete the products was eight months for all products and disciplines.

Table 1: Cost and Time Comparison - Cost and Time of Producing the Draft Environmental Impact Statement (DEIS) Section on the Environmental Discipline and the Corresponding Technical Expertise Report, Compared to the RS/GIS Products

Environmental Discipline Cost
(in thousands of dollars)
Time Span to Complete
(in calendar months)
. DEIS Section and Technical Report RS/GIS Products1 DEIS Section and Technical Report RS/GIS Products
Environmental justice n/a2 6.0 n/a 8
Farmland 37.0 6.0 6 8
Fish and Aquatic Habitat 101.6 6.0 24 8
Floodplains 31.9 6.0 6 8
Land Use 73.8 6.0 15 8
Recreational Resources 67.23 6.0 64 8
Shorelines 57.6 6.0 13 8
Surface Water Resources 75.8 6.0 20 8
Transportation 243.3 6.0 19 8
Upland Vegetation, Habitat, and Wildlife 79.5 6.0 19 8
Wetlands 76.1 6.0 17 8
Total for the disciplines listed above 843.8 66.4 245 86
Notes:
1. Cost estimate for RS/GIS products for each environmental discipline is the average cost per discipline (i.e., the total cost divided by the number of discipline categories).
2. n/a means that the information was not available at the time of this study.
3. Includes the cost of the 4(f) evaluation.
4. Assumes that the 3 months to complete the 4(f) requirement were within the 6- month period required for assessment of recreational resources.
5. Work on each discipline is assumed to take place simultaneously, so that the total time for all disciplines is estimated to be the greatest amount of time required for one of the disciplines – in this case, 24 months.
6. The cost for work done on the environmental-justice discipline was unavailable at the time of this study.

The cost per discipline ranges from $31,900 for floodplains to $243,300 for transportation by traditional methods. Thus, the average cost of the remote sensing/GIS products ranges from 19% to 2.5% of the cost to complete work on an environmental discipline. Overall, the cost of the remote sensing/GIS products for the eleven disciplines was $66,400, compared to the total cost of completing these eleven disciplines by traditional methods of $844,000. The greater the number of environmental disciplines, the more cost-effective this type of analysis can be.

Time Comparisons – EIS using conventional methods is expected to take about 2 years, based on the discipline taking the longest time, fish and aquatic habitat. The estimated time to complete the work on all of the remote sensing/GIS products was eight months. Three of the disciplines - farmlands, floodplains, and recreational areas - were completed more quickly using traditional methods.

ValueTable 2 provides the survey respondents' assessments of the value of the remote sensing/GIS products developed for this study. Value is measured both in dollar terms and as a percentage of the total cost of completing work on that discipline for the EIS. Stakeholder responses are summarized in Column 2, contractors' responses are in Column 3, and other state DOTs are in Column 4.

Table 2: Range of Estimated Value of RS/GIS Products, Relative to the Cost of Completing Work on the Corresponding Environmental Discipline for the DEIS1

Environmental Discipline I-405 Stakeholders Responses2 DEIS Contra Responses2 Other State DOTs Responses
Environmental Justice <1% n/a3 n/a
Farmland 10% - 15%
$3.7K - $5.6K
0%
$0K
n/a
Fish and Aquatic Habitat 15%
$15.2K
0%
$0K
n/a
Floodplains 1% - 15%
$0.3K - $4.8K
1%
$0.4K
n/a
Land Use 5% - 15%
$3.7K - $11.1K
5% - 10%
$3.7K - $7.4K
n/a
Recreational Resources 1%
$0.7K
0%
$0K
n/a
Shorelines n/a 5% - 10%
$2.9K - $5.8K
n/a
Surface Water Resources n/a <1% - 5%
<$0.8K - $3.8K
uncertain
Transportation 1%
$2.4K
<1%
<$2.4K
1% - 5%
$2.4K - $12.2K
Upland Vegetation, Habitat, and Wildlife 10% - 15%
$8.0K - $11.9K
1% - 5%
$2.0K - $4.0K
n/a
Wetlands 10% - 15%
$7.6K - $11.4K
1% - 5%
$0.8K - $3.8K
n/a
Overall Assessment
(all disciplines)4
1% - 10%
$8.4K - $84.4K1
.
<$13K - $27.6K1
No basis for estimating value; depends on review agency’s assessment
Notes:
1. Because of the limited number of respondents, the specific RS/GIS methods used in this case study, and the study context itself – the responses reported in this table should not be interpreted as general conclusions about the value of RS/GIS products.
2. Range of values is the range across all individuals in this category of respondents.
3. n/a means estimate “not available” – no estimate was provided.
4. Some respondents reviewed all of the material covering all environmental disciplines and provided an overall assessment, rather than for individual disciplines. The values listed for individual disciplines do not add up to the values for the overall assessments. They were from different respondents.
5. Does not include the value of RS/GIS products for the Environmental Justice discipline.
6. Responses for individual categories were provided by one person (except for a second response for the Surface Water category. The range for the contractor team’s Overall Assessment is the sum of the values for the individual categories.

Respondents' assessments of the value of remote sensing/GIS products are summarized in Table 3. Fish and aquatic habitat, land use, upland vegetation, habitat and wildlife, and wetlands assessed remote sensing/GIS products to be most valuable. Respondents from these disciplines suggested that a relatively high percentage of the work done for the EIS could be achieved using remote sensing/GIS and the value of the remote sensing/GIS products equals or exceeds its cost. Respondents from the farmland and floodplains disciplines responded judged the RS technology to be somewhat less valuable. It represented a smaller part of the overall EIS work and its value was less than its cost. The remote sensing/GIS products were least valuable for the environmental justice, recreational resources and transportation disciplines.

Table 3: I-405 Stakeholder Respondents' Relative Valuing of RS/GIS Products for Different Environmental Disciplines

Relative Value of RS/GIS Products Environmental Disciplines
Most valuable (a relatively high percentage of the cost of the work done for the DEIS, and an estimated monetary value whose range approximates or exceeds the cost of producing the RS/GIS products
  • Fish and Aquatic Habitat
  • Land Use
  • Upland Vegetation, Habitat, and Wildlife
  • Wetlands
Somewhat less valuable (lower percentage of the cost of the work done for the DEIS, and an estimated monetary value whose range is somewhat less than the cost of producing the RS/GIS products
  • Farmland
  • Floodplains
Least valuable (very low percentage of the cost of the work done for the DEIS, and an estimated monetary value whose is well below the cost of producing the RS/GIS products
  • Environmental Justice
  • Recreational Resources
  • Transportation

Iowa Highway 1 Corridor
Background
Iowa Highway 1 corridor through Solon, Iowa is a two-lane, undivided state highway oriented north-south located in the east-central portion of the state and is approximately 18 miles long. The corridor was selected from existing DOT projects based on the existence of surface elevation photogrammetric data and the lack of significant changes within the study area since photogrammetry data were completed. Photogrammetric data were available from the Iowa DOT for a 10-square-mile area around the corridor. The study segment begins at an interchange with Interstate 80 near Iowa City and ends at the junction with U.S Highway 30 outside the town of Mount Vernon. The highway passes through the town of Solon, the location of a proposed bypass, at about the midpoint of the corridor. The corridor is characterized by a variety of terrain: rolling farmland, the small town of Solon and significant elevation changes at the Cedar River.

Methods Used
The methodologies of the three case studies were quite different. The Iowa case study used a comparison of two different corridors to demonstrate the cost and time savings of using RS in combination with traditional methods. One site used the combined method and the other used the traditional. Differences in costs and time were used as an estimate of the advantages of using remote sensing techniques.

The times and costs for US 30 corridor were estimated potential savings whereas the time savings reported for the Iowa 1 corridor were collected as part of the project. For the Iowa 1 corridor, traditional and combined data collection methods were compared to determine whether the use of LIDAR would result in more rapid data collection, production, and delivery than photogrammetry. The latter work had been completed for the Iowa-1 corridor prior to NCRST-E research project and LIDAR data collection was completed as part of the project to enable a direct comparison.

Results
To compare the use of LIDAR in conjunction with photogrammetry versus using photogrammetry only, a comparison was made between Iowa Highway 1 and US 30 projects. Cost estimates for US 30 are followed by the same estimates for Iowa 1, then the differences are noted and discussed. US 30 was used as a baseline for comparison.

U.S Highway 30 – The time required using photogrammetry only for the 46-mile corridor (46 miles) was estimated to be approximately two years. In comparison, the combined method, using remote sensing and photogrammetry, required only 13 months. The combined method required 5 months for LIDAR data collection and analysis needed for preliminary location and 8 months for photogrammetry to map the final alignment. Thus, in this case, the net timesavings of the combined method over the traditional were 11 months. In terms of cost, photogrammetric mapping for the U.S. 30 corridor would cost $500,000 when used alone in the traditional method. Using the combined method the LIDAR cost was $150,000 and the photogrammetric cost was $100,000. Thus, the cost of the data collection was cut in half resulting in savings of using the combined method of 250,000.

Iowa 1 Highway – The traditional photogrammetry only method required 2,670 hours and using LIDAR was 598 hours. The resulting time reduction was 2,072 hours or approximately 450 percent when using LIDAR. However, this comparison does not include the additional cost for photogrammetry to obtain final alignment as was reported above for US Highway 30.

North Carolina Highway 311 Corridor
Background
North Carolina Highway 311 Corridor is an approximately 15-mile corridor connecting I-85 to US 220 in Randolph County near High Point, NC. This is a rapidly urbanizing area with potentially substantial environmental impacts from transportation construction. This study area was selected based on the rather substantial wetlands that could be protected with more sophisticated planning and construction techniques. The ability of remote sensing to assist in minimizing damage to wetlands was the major environmental planning issue.

Methods Used
The North Carolina Department of Transportation (NCDOT) did not investigate the cost aspects of remote sensing data to transportation applications as part of their efforts on the NCRST-E project. NCDOT evaluated the accuracy and the applicability of the LIDAR data obtained for this research project for transportation planning and design. The North Carolina case study focused its efforts on obtaining cost savings estimates for very specific excavation costs. That is, the difference in excavation costs associated with RS obtained data versus traditional methods.

Results
NCDOT determined that LIDAR data was sufficiently accurate and readily applicable to preliminary design activities associated with transportation projects. LIDAR data, obtained as part of this NCRST-E project, supported mapping for preliminary design activities. NCDOT transportation projects traditionally have used mapping at 1"=100' and 1"=200' horizontal scales with 2, 4, or 5-foot contours; LIDAR data met these needs in the preliminary design phase.

The North Carolina Flood Plain Mapping Program (NCFMP) has LIDAR data for approximately 80% of the state. Preliminary design mapping (1" = 200'), digital terrain modeling, orthophoto rectification, and preliminary earthwork calculations are all preliminary design activities for which NCDOT regularly uses this LIDAR data.

The NCFMP LIDAR is reviewed and edited with 3D stereo imagery and photogrammetric break lines are collected at significant features. While the NCDOT Photogrammetry Unit has not formally documented a cost or timesavings using existing NCFMP LIDAR data, project experience suggests that it provides approximately 30% timesavings in photogrammetric digital terrain model collection.
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