The Intelligent Transportation Systems Joint Program Office (ITS JPO) of the U.S. Department of Transportation (U.S. DOT) established the ITS Costs Database as a national resource for transportation professionals to go to in order to obtain cost estimates for ITS deployments. The purpose of the ITS Costs Database is to support informed decision-making by transportation leaders. The ITS Costs Database contains estimates of ITS costs that can be used for developing project cost estimates during the planning process or preliminary design phase, and for policy studies and cost-benefit analyses. Both non-recurring (capital) and recurring (operating and maintenance) costs are provided where possible. Two types of cost data are available: unit costs and system cost summaries. System cost summaries are the costs of an ITS project or portion of an ITS project such as the cost of expanding a statewide road weather information system or the detailed costs for a signal interconnect project. Each entry describes the background of the project, the ITS technologies deployed, and presents the costs and what the costs covered. A breakout of components and costs is provided for most summaries depending on the information available. Both capital costs and annual O&M costs are presented whenever possible. Unit costs are the costs associated with an individual ITS element, such as a video camera for traffic surveillance or a dynamic message sign. A range of costs (e.g., $500 - $1,000) is presented for the capital cost and annual operations and maintenance (O&M) cost of each element as well as an estimate of the length in years of its usable life. Unit costs are available in two formats: unadjusted and adjusted. Unadjusted costs are presented as the original value along with the dollar year.

Under a New Zealand public agency’s cost estimation guidelines, a consultancy organization was required to complete an ‘elemental cost questionnaire’ after a project’s final account had been completed so that data could be incorporated into their ‘Elemental Cost Database’ and used to support the production of future estimates of outturn costs. Cost data from 39 transport projects is presented in a SPSS format.

Economic concepts related to highway transportation cost index.

National Highway Construction Cost Index

Colombia Construction Cost Index: Infrastructure: Transportation data was reported at 138.130 Dec2005=100 in Dec 2020. This stayed constant from the previous number of 138.130 Dec2005=100 for Nov 2020. Colombia Construction Cost Index: Infrastructure: Transportation data is updated monthly, averaging 113.565 Dec2005=100 from Jan 2000 (Median) to Dec 2020, with 252 observations. The data reached an all-time high of 138.130 Dec2005=100 in Dec 2020 and a record low of 70.080 Dec2005=100 in Feb 2000. Colombia Construction Cost Index: Infrastructure: Transportation data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.EA015: Construction Cost Index: Infrastructure: Dec2005=100.

Colombia Construction Cost Index: Infrastructure: Transportation of Materials data was reported at 165.440 Dec2005=100 in Dec 2020. This records an increase from the previous number of 165.040 Dec2005=100 for Nov 2020. Colombia Construction Cost Index: Infrastructure: Transportation of Materials data is updated monthly, averaging 134.250 Dec2005=100 from Jan 2000 (Median) to Dec 2020, with 252 observations. The data reached an all-time high of 165.440 Dec2005=100 in Dec 2020 and a record low of 70.860 Dec2005=100 in Jan 2000. Colombia Construction Cost Index: Infrastructure: Transportation of Materials data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.EA015: Construction Cost Index: Infrastructure: Dec2005=100.

The National Highway Construction Cost Index (NHCCI) is a price index that can be used both to track price changes associated with highway construction costs, and to convert current dollar expenditures on highway construction to real or constant dollar expenditures. This dataset contains the quarterly NHCCI estimates as well as the Seasonally Adjusted NHCCI and Component Contributions to Changes in NHCCI. Visit https://www.fhwa.dot.gov/policy/otps/nhcci/ for more information regarding the NHCCI.

Georgia Construction Cost Index: Same Qtr Prev Year=100: Transportation, Fuel & Electricity data was reported at 103.168 Same Qtr PY=100 in Mar 2019. This records a decrease from the previous number of 104.549 Same Qtr PY=100 for Dec 2018. Georgia Construction Cost Index: Same Qtr Prev Year=100: Transportation, Fuel & Electricity data is updated quarterly, averaging 104.440 Same Qtr PY=100 from Dec 2017 (Median) to Mar 2019, with 6 observations. The data reached an all-time high of 105.356 Same Qtr PY=100 in Jun 2018 and a record low of 102.918 Same Qtr PY=100 in Mar 2018. Georgia Construction Cost Index: Same Qtr Prev Year=100: Transportation, Fuel & Electricity data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.EA003: Construction Cost Index.

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This paper studies the impact of transport infrastructure projects of the Belt and Road Initiative on shipment times and trade costs. Based on a new data on completed and planned Belt and Road transport projects, Geographic Information System analysis is used to estimate shipment times before and after the Belt and Road Initiative. Two sets of data are computed to address different research questions: a global database based on an analysis of 1,000 cities in 191 countries and 47 sectors and a regional database that focuses on more granular information (1,818 cities) for Belt and Road economies only.

This database categorizes 91 projects using nature-based solutions (NBS) in riverine environments across the United States. These 91 projects were identified in a non-exhaustive search of Federal, State, local, and other publicly available documentation. Eight publicly available reports and websites collectively described 45 projects, while the remaining projects were sourced from individual websites or articles that described one or two projects each. For each project, we identified the following: NBS strategy or strategies implemented, total cost, year implemented, project size, and project city and state. Here, project size refers to the stream length in feet influenced by the project. For some projects, details such as project cost and project size were not recorded in publicly available documents and reports.

This tool was created as a way to visualize all of the data being used in transportation project evaluations for the region. It is currently restricted to federally funded capacity projects, but we hope it will continue to grow until each project and its data are represented. The ARC wants to open up our data and our process used to evaluate projects for users to manipulate and compare.ProcessIn order to fully understand this data you have to know where it came from. Here is a brief summary of what these data mean and how we calculated them.Need and PerformanceThe current measures are all based on real world data where available. These measures determine the level of need and give a broad picture of what the conditions of the road are today.The future measures are all calculated by running each project through a transportation demand model, a process which calculates individual project performance for each measure.The current and future measures are then indexed, weighted and summed into a need score and a performance score, respectively.Benfit/Cost (BC) RatiosBC ratios monetize all of the costs and benefits of transportation projects to determine the overall value of each project. Since some projects are intended to solve current issues and some are meant to relieve anticipated problems, BC ratios for all projects were calculate for both 2015 and 2040 conditions. List of variablesProject ID - ARC project identifierCounty - County of originCost in Millions - Total cost of project in millions of dollars2015 Benefit in Millions - Monetary benefit of the project in millions if it is built in 20152040 Benefit in Millions - Monetary benefit of the project in millions if it is built in 20402015 Benefit/Cost - Benefit/Cost of project if it were built in 20152040 Benefit/Cost - Benefit/Cost of project if it were built in 2040 Current Congestion Index - Travel Time Index on project linkCurrent Safety Index - Ratio of crash rate/ average crash rate by facility typeCurrent Freight Index - Whether or not project lies within the ASTRO NetworkCurrent Reliability Index - Trip reliability on project link using Buffer IndexCurrent Equity Index - Whether or not project lies within an ETACurrent Air Quality Index - Average concentration of particulate matter around project link Current Accessibility Index - The percent of vehicles going to or coming from an activity center on the project link Current Need - The sum of the weighted current data points indicating needFuture Congestion Index - Difference in VHD on the project link build-no buildFuture Accessibility Index - Difference in percent of vehicles going to or coming from an activity center on the project link build-no buildFuture Freight Index - Difference in truck VMT on link build-no buildFuture Deliverability Index - Total environmental obstacles along project links inversed so high value= high deliverabilityFuture Air Quality Index - Difference in level of particulates regionally build-no buildFuture Volume Index - Volume/Mile categorizedFuture Performance - The sum of the weighted future data points indicating performance

Abstract

The evaluation examines impacts of the Transportation Project in three ways. First, we calculate economic rates of return associated with reduced user costs for each rehabilitated road - and for the project in aggregate - making use of the before and after measures of road use, detailed data on project implementation and costs, and models that project changes in usage, costs, and benefits over time.

We also examine changes in the availability and cost of common consumption goods that can be attributed to the transportation project. This component of the analysis relies on a survey of retail establishments that targets goods in the Cansta Basica or basic basket that is used in Nicaragua to track consumer prices. Data was collected both before and after construction in communities both on and away from rehabilitated roads. The survey design therefore facilitates measurement of changes in price and availability of goods relative to a relevant comparison group.

The evaluation also examines changes in household consumption using a similar pre- and post- rehabilitation data collection methodology. The consumption measures for this component of the evaluation are derived from responses to household surveys implemented for the Rural Business Development (RBD) portion of the Nicaragua compact. While the bulk of the respondents to this survey are outside the zone of influence of the road rehabilitation, we identify more than one-hundred households within the zone of influence of the rehabilitated roads. It is important to recognize that the data for this component of the report was collected for a different purpose and respondents are not a representative sample of households in the treatment and control areas. Thus these results are intended to be suggestive and provide some insight on the robustness of results from the survey of retail establishments. These surveys do not provide unbiased estimates of the transportation project on the affected population.

Geographic coverage

Departments of Leon and Chinandega

Analysis unit

Retail establishments

Universe

Departments of Leon and Chinandega

Kind of data

Sample survey data [ssd]

Research instrument

Establishment surveys in thirty communities were conducted to collect data on price and availability of a basket of consumer goods to shed light on whether the rehabilitated roads provide significant nonuser benefits. The establishment survey contains information on fifty-three items that comprise the Canasta Basica - or basic basket - from which the Central Bank constructs its cost of living index. The fifty-three items in the Canasta Basica are segregated into eight categories that include food items, household costs, and clothing.

Albania Construction Cost Index: Transport Costs data was reported at 99.520 1Q2011=100 in Dec 2020. This records a decrease from the previous number of 100.300 1Q2011=100 for Sep 2020. Albania Construction Cost Index: Transport Costs data is updated quarterly, averaging 98.815 1Q2011=100 from Mar 2002 (Median) to Dec 2020, with 76 observations. The data reached an all-time high of 103.685 1Q2011=100 in Jun 2013 and a record low of 78.800 1Q2011=100 in Mar 2004. Albania Construction Cost Index: Transport Costs data remains active status in CEIC and is reported by Institute of Statistics. The data is categorized under Global Database’s Albania – Table AL.EA009: Construction Cost Index: 1st Quarter 2011=100.

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Italy Construction Cost Index: Residential: Transport & Hire data was reported at 117.200 1995=100 in Dec 2002. This stayed constant from the previous number of 117.200 1995=100 for Nov 2002. Italy Construction Cost Index: Residential: Transport & Hire data is updated monthly, averaging 91.050 1995=100 from Jan 1981 (Median) to Dec 2002, with 264 observations. The data reached an all-time high of 117.200 1995=100 in Dec 2002 and a record low of 31.300 1995=100 in Jan 1981. Italy Construction Cost Index: Residential: Transport & Hire data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.EA012: Construction Cost Index: Residential: 1995=100.

Construction Industry: Total Costs of Works & Construction Services: 50 to 99 Persons: Electricity, Telecommunications, Water, Sewer & Transportation by Pipe data was reported at 555,520.000 BRL th in 2017. This records a decrease from the previous number of 633,009.000 BRL th for 2016. Construction Industry: Total Costs of Works & Construction Services: 50 to 99 Persons: Electricity, Telecommunications, Water, Sewer & Transportation by Pipe data is updated yearly, averaging 494,299.000 BRL th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 1,240,541.000 BRL th in 2014 and a record low of 346,749.000 BRL th in 2009. Construction Industry: Total Costs of Works & Construction Services: 50 to 99 Persons: Electricity, Telecommunications, Water, Sewer & Transportation by Pipe data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EH012: Construction Industry: CNAE 2.0: Total Costs of Works & Construction Services: by Activity.

Brazil Construction Industry: Other Costs & Expenses: 5 to 29 Persons: Electricity, Telecommunications, Water, Sewer & Transportation by Pipe data was reported at 536,118.000 BRL th in 2017. This records an increase from the previous number of 503,591.000 BRL th for 2016. Brazil Construction Industry: Other Costs & Expenses: 5 to 29 Persons: Electricity, Telecommunications, Water, Sewer & Transportation by Pipe data is updated yearly, averaging 182,750.000 BRL th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 536,118.000 BRL th in 2017 and a record low of 101,127.000 BRL th in 2008. Brazil Construction Industry: Other Costs & Expenses: 5 to 29 Persons: Electricity, Telecommunications, Water, Sewer & Transportation by Pipe data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EH020: Construction Industry: CNAE 2.0: Other Costs & Expenses: by Activity.

Delphi projects module contains the following data elements, but is not limited to raw costs, burdened costs, agreement types, allocation of resources; and stores actual, budget and encumbrance balance per project, task, period, budget version and resource.

The 2022 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. It includes current and projected estimates: time-series through 2050 for light, medium, and heavy-duty vehicle technologies; scenarios for conventional and alternative fuels. It details the assumptions used to calculate those costs, such as natural gas and electricity prices, discount rates, and vehicle miles traveled. The 2022 Transportation ATB vehicle data are specifically for cars powered by gasoline, diesel, natural gas, gasoline hybrid, plug-in hybrid, battery electric, and fuel-cell powertrains and for trucks powered by diesel, diesel hybrid, plug-in hybrid, battery electric, and fuel cell powertrains. Fuels and blendstocks include gasoline, ethanol, blendstock for oxygenate blending, diesel, diesel from biomass, natural gas, electricity, hydrogen, aviation fuel, and marine fuel. At this time, the ATB does not include other vehicles such as buses, 2- and 3-wheeled motorized vehicles, or non-road vehicles such as aircraft, vessels, locomotives, and those for industry and agriculture. See "ATB Transportation Website" resource below for more project information.