The US Transportation Collection consists of documents from across all transportation modes with specific focus on research reports from US DOT, state DOTs, and other transportation organizations.
Bookmark this collection: https://rosap.ntl.bts.gov/collection_ust or https://doi.org/10.21949/1530857.
For the 2019-2020 winter season, vehicle-to-everything (V2X) systems using dedicated short-range communications (DSRC) were placed on Utah Department of Transportation (UDOT) snowplows and state routes to test the effectiveness of snowplows requesting signal preemption from traffic controllers. This study was done to understand the impacts and bene
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Schultz, G. G., Lau, S. K., Shoaf, M., Bassett, D., & Eggett, D. L. (2022). Analysis of Using V2X DSRC-Equipped Snowplows To Request Signal Preemption (Report No. UT-22.14). Utah. Dept. of Transportation. Division of Research. https://rosap.ntl.bts.gov/view/dot/63156
Schultz, Grant G., Samantha K Lau, Mason Shoaf, David Bassett, and Dennis L. Eggett. Analysis of Using V2X DSRC-Equipped Snowplows To Request Signal Preemption. Report no. UT-22.14. Utah. Dept. of Transportation. Division of Research, 2022. https://rosap.ntl.bts.gov/view/dot/63156.
Schultz, Grant G., et al. Analysis of Using V2X DSRC-Equipped Snowplows To Request Signal Preemption. Utah. Dept. of Transportation. Division of Research, 2022, Report no. UT-22.14, ROSA P. https://rosap.ntl.bts.gov/view/dot/63156.
The U.S. Department of Transportation (DOT) is leading a Safety Data Initiative (SDI), to enhance the analysis and visualization that informs safety policy decisions. Populus was selected to perform analysis and assess the quality of leveraging GPS trip trace data from micromobility operators such as Lime, Bird, and Superpedestrian (LINK), to serve
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Clewlow, R., Foti, F., Seki, S., & Mueting, E. (2022). Final Report: Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data. United States. Department of Transportation. Office of the Secretary of Transportation. https://rosap.ntl.bts.gov/view/dot/63162
Clewlow, Regina, Fletcher Foti, Stephanie Seki, and Eliot Mueting. Final Report: Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data. United States. Department of Transportation. Office of the Secretary of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/63162.
Clewlow, Regina, et al. Final Report: Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data. United States. Department of Transportation. Office of the Secretary of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/63162.
This report describes the research efforts aimed at determining the repeatability of the IDEAL-CT test for asphalt concrete mixtures. It follows a series of studies investigating different cracking tests. Three mixes in common production in the northern part of Utah were investigated by three different labs experienced in performance testing. Withi
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Romero, P., & VanFrank, K. (2022). Balanced Asphalt Concrete Mix Performance in Utah, Phase VI: Multi-Laboratory Testing of Ideal-CT (Report No. UT-22.15). Utah Department of Transportation. https://rosap.ntl.bts.gov/view/dot/63574
Romero, Pedro and Kevin VanFrank. Balanced Asphalt Concrete Mix Performance in Utah, Phase VI: Multi-Laboratory Testing of Ideal-CT. Report no. UT-22.15. Utah Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/63574.
Romero, Pedro, and Kevin VanFrank Balanced Asphalt Concrete Mix Performance in Utah, Phase VI: Multi-Laboratory Testing of Ideal-CT. Utah Department of Transportation, 2022, Report no. UT-22.15, ROSA P. https://rosap.ntl.bts.gov/view/dot/63574.
In a prior research project (BDK83 977-24), the Financial Achievability Model (FAM) was created for the Florida Department of Transportation Research Center. The Research Center can use the FAM in all phases of research to meet strategic objectives, including demonstrating the potential benefits of proposed projects, allowing for a more cost-effect
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Schriefer, P. (. (2022). Financial Achievability Model (FAM): Operationalization Case Studies and Analysis (Report No. BDV30-977-36). Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/72276
Schriefer, Patricia (Born). Financial Achievability Model (FAM): Operationalization Case Studies and Analysis. Report no. BDV30-977-36. Florida Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/72276.
Schriefer, Patricia (Born) Financial Achievability Model (FAM): Operationalization Case Studies and Analysis. Florida Department of Transportation, 2022, Report no. BDV30-977-36, ROSA P. https://rosap.ntl.bts.gov/view/dot/72276.
This study developed a spatial interpolation technique using finite element shape functions to derive wind speed records for all unsampled Kansas counties from data recorded at 17 city locations in and near Kansas. A computational method using the Kaimal spectrum is presented for generating artificial time histories of wind speeds. This is done to
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Al Shboul, K. W., & Rasheed, H. A. (2022). Probabilistic Wind Speed Model for Local Data in All Kansas Counties (Report No. K-TRAN: KSU-21-6). Kansas. Dept. of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/62963
Al Shboul, Khalid W and Hayder A. Rasheed. Probabilistic Wind Speed Model for Local Data in All Kansas Counties. Report no. K-TRAN: KSU-21-6. Kansas. Dept. of Transportation. Bureau of Research, 2022. https://rosap.ntl.bts.gov/view/dot/62963.
Al Shboul, Khalid W, and Hayder A. Rasheed Probabilistic Wind Speed Model for Local Data in All Kansas Counties. Kansas. Dept. of Transportation. Bureau of Research, 2022, Report no. K-TRAN: KSU-21-6, ROSA P. https://rosap.ntl.bts.gov/view/dot/62963.
Our goal was to develop seed mixture recommendations to improve establishment and development of roadside vegetation in Minnesota. We selected 14 research sites across Minnesota and seeded 40 turfgrass mixtures. Turfgrass coverage was assessed at each site twice a year and the weed seed bank was examined. We found that greater seeded turfgrass spec
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Watkins, E., Christensen, D., Yue, C., & Moncada, K. (2022). Regional Optimization of Roadside Turfgrass Seed Mixtures Phase 2: Regional Field Trials and Economic Analysis (Report No. MN 2022-16). Minnesota. Department of Transportation. Office of Research & Innovation. https://rosap.ntl.bts.gov/view/dot/64405
Watkins, Eric, Dominic Christensen, Chengyan Yue, and Kristine Moncada. Regional Optimization of Roadside Turfgrass Seed Mixtures Phase 2: Regional Field Trials and Economic Analysis. Report no. MN 2022-16. Minnesota. Department of Transportation. Office of Research & Innovation, 2022. https://rosap.ntl.bts.gov/view/dot/64405.
Watkins, Eric, et al. Regional Optimization of Roadside Turfgrass Seed Mixtures Phase 2: Regional Field Trials and Economic Analysis. Minnesota. Department of Transportation. Office of Research & Innovation, 2022, Report no. MN 2022-16, ROSA P. https://rosap.ntl.bts.gov/view/dot/64405.
As the portable weight-in-motion (WIM) technology has been successfully explored and practically used to collect site-specific traffic data in Texas Department of Transportation Research Project 0-6940 Develop System to Render Mechanistic-Empirical Traffic Data for Pavement Design, this standardized guideline was developed to aid users understand m
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Prakoso, A., Chunduri, H. R., & Walubita, L. F. (2022). Guidelines for Portable Weight-in-Motion (Wim) System Installation and Traffic Data Analysis (Report No. 5-6940-01). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/64294
Prakoso, Adrianus, Harshavardhan Rao Chunduri, and Lubinda F. Walubita. Guidelines for Portable Weight-in-Motion (Wim) System Installation and Traffic Data Analysis. Report no. 5-6940-01. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/64294.
Prakoso, Adrianus, et al. Guidelines for Portable Weight-in-Motion (Wim) System Installation and Traffic Data Analysis. Texas A&M Transportation Institute, 2022, Report no. 5-6940-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/64294.
The goal of this research project was to determine the environmental impact of potassium acetate (KAc) as a deicer, including its effects on water quality and the resulting toxicity to biota. The motivation for the research was the Minnesota Department of Transportation’s (MnDOT’s) exploratory use of KAc to significantly reduce the use of chloride-
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Rehmann, C., Ikuma, K., Mahedi, M., & Perez, M. (2022). Environmental Impacts of Potassium Acetate as a Road Salt Alternative (Iowa State University Evaluation) (Report No. MN 2022-27B). Minnesota. Department of Transportation. Office of Research & Innovation. https://rosap.ntl.bts.gov/view/dot/64419
Rehmann, Chris, Kaoru Ikuma, Masrur Mahedi, and Michael Perez. Environmental Impacts of Potassium Acetate as a Road Salt Alternative (Iowa State University Evaluation). Report no. MN 2022-27B. Minnesota. Department of Transportation. Office of Research & Innovation, 2022. https://rosap.ntl.bts.gov/view/dot/64419.
Rehmann, Chris, et al. Environmental Impacts of Potassium Acetate as a Road Salt Alternative (Iowa State University Evaluation). Minnesota. Department of Transportation. Office of Research & Innovation, 2022, Report no. MN 2022-27B, ROSA P. https://rosap.ntl.bts.gov/view/dot/64419.
The New Jersey Department of Transportation (NJDOT) engaged Cambridge Systematics (CS) to assist with the development the Highway Safety Improvement Program (HSIP) Implementation Plan that will be used to improve the safety of New Jersey roads and ensure the state meets federal performance targets in the coming years.
Hopwood, C., & Glodek, J. (2022). NJDOT Highway Safety Improvement Program Implementation Plan [Brief] (Report No. NJ-2022-001). New Jersey. Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/72594
Hopwood, Cory and Jack Glodek. NJDOT Highway Safety Improvement Program Implementation Plan [Brief]. Report no. NJ-2022-001. New Jersey. Department of Transportation. Bureau of Research, 2022. https://rosap.ntl.bts.gov/view/dot/72594.
Hopwood, Cory, and Jack Glodek NJDOT Highway Safety Improvement Program Implementation Plan [Brief]. New Jersey. Department of Transportation. Bureau of Research, 2022, Report no. NJ-2022-001, ROSA P. https://rosap.ntl.bts.gov/view/dot/72594.
This project focused on forecasting freight logistics needs and developing and analyzing capacity plans for INDOT to consider. The forecast timeframe ranges from the 2020 to 2045; the commodities considered are those used in the FHWA framework. We considered five SSP (Shared Socio-Economic Pathways) scenarios that are in sync with those used by the
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Iyer, A. V., Brady, T., Dunlop, S. R., Thakkar, D. J., Naini, S., Jayan, S., Vasu, S., Mohanraj, S., & Srinivasan, J. (2022). Forecasting Freight Logistic Needs and INDOT Plans (Report No. FHWA/IN/JTRP-2022/08). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317372
Iyer, Ananth V, Tom Brady, Steven R Dunlop, Dutt J Thakkar, Saichandar Naini, Srinath Jayan, Suraj Vasu, Sanjayraj Mohanraj, and Janani Srinivasan. Forecasting Freight Logistic Needs and INDOT Plans. Report no. FHWA/IN/JTRP-2022/08. Purdue University. Joint Transportation Research Program, 2022. https://doi.org/10.5703/1288284317372.
Iyer, Ananth V, et al. Forecasting Freight Logistic Needs and INDOT Plans. Purdue University. Joint Transportation Research Program, 2022, Report no. FHWA/IN/JTRP-2022/08, ROSA P. https://doi.org/10.5703/1288284317372.
Despite increased efforts to improve safety in recent years (e.g., the Focus Cities Program in California), California continues to have a high rate of pedestrian and bicyclist fatalities. Currently, the state currently lacks a cohesive messaging strategy to improve behaviors related to pedestrian and cyclist traffic safety practices. To fulfill th
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Sarofim, S., & Tawfik, A. (2022). Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users (Report No. 22-20). San Jose State University. College of Business. Mineta Transportation Institute. https://doi.org/10.31979/mti.2022.2030
Sarofim, Samer and Aly Tawfik. Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users. Report no. 22-20. San Jose State University. College of Business. Mineta Transportation Institute, 2022. https://doi.org/10.31979/mti.2022.2030.
Sarofim, Samer, and Aly Tawfik Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users. San Jose State University. College of Business. Mineta Transportation Institute, 2022, Report no. 22-20, ROSA P. https://doi.org/10.31979/mti.2022.2030.
Diesel has been used widely as an asphalt cleaning agent due to its effectiveness for many years. However, its negative impact on health and the environment calls for more sustainable and safe alternatives. Asphalt Release Agents (ARAs) are products for preventing or mitigating undesirable adhesion of HMA to the asphalt equipment, and Asphalt Clean
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Hasanzadeh, S., Velay-Lizancos, M., Chang, W. C., Lopez-Arias, M., & Francioso, V. (2022). Synthesis Study of Best Practices for Cleaning Tools and Paving Equipment: Asphalt Release Agents (ARAs) and Asphalt Cleaners (ACs) (Report No. FHWA/IN/JTRP-2022/18). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317381
Hasanzadeh, Sogand, Mirian Velay-Lizancos, Woei-Chyi Chang, Marina Lopez-Arias, and Vito Francioso. Synthesis Study of Best Practices for Cleaning Tools and Paving Equipment: Asphalt Release Agents (ARAs) and Asphalt Cleaners (ACs). Report no. FHWA/IN/JTRP-2022/18. Purdue University. Joint Transportation Research Program, 2022. https://doi.org/10.5703/1288284317381.
Hasanzadeh, Sogand, et al. Synthesis Study of Best Practices for Cleaning Tools and Paving Equipment: Asphalt Release Agents (ARAs) and Asphalt Cleaners (ACs). Purdue University. Joint Transportation Research Program, 2022, Report no. FHWA/IN/JTRP-2022/18, ROSA P. https://doi.org/10.5703/1288284317381.
The New Jersey Department of Transportation Bureau of Safety, Bicycle & Pedestrian Programs (BSBPP) engaged Cambridge Systematics (CS) to assist with the development of the current Highway Safety Improvement Program Implementation Plan, which was a necessary document that BSBPP had to develop after not meeting their Federal safety performance measu
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Hopwood, C., & Glodek, J. (2022). NJDOT Highway Safety Improvement Program Implementation Plan [Covering 2021] (Report No. NJ-2022-001). New Jersey. Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/72593
Hopwood, Cory and Jack Glodek. NJDOT Highway Safety Improvement Program Implementation Plan [Covering 2021]. Report no. NJ-2022-001. New Jersey. Department of Transportation. Bureau of Research, 2022. https://rosap.ntl.bts.gov/view/dot/72593.
Hopwood, Cory, and Jack Glodek NJDOT Highway Safety Improvement Program Implementation Plan [Covering 2021]. New Jersey. Department of Transportation. Bureau of Research, 2022, Report no. NJ-2022-001, ROSA P. https://rosap.ntl.bts.gov/view/dot/72593.
As the portable weight-in-motion (WIM) technology has been successfully explored and practically used to collect site-specific traffic data in Texas Department of Transportation Research Project 0-6940 Develop System to Render Mechanistic-Empirical Traffic Data for Pavement Design, this standardized guideline was developed to aid users understand m
...
Prakoso, A., Chunduri, H. R., & Walubita, L. F. (2022). Guidelines for Portable Weight-in-Motion (WIM) System Installation and Traffic Data Analysis: Instructor’s Guide (Report No. 5-6940-01-P2). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/64300
Prakoso, Adrianus, Harshavardhan Rao Chunduri, and Lubinda F. Walubita. Guidelines for Portable Weight-in-Motion (WIM) System Installation and Traffic Data Analysis: Instructor’s Guide. Report no. 5-6940-01-P2. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/64300.
Prakoso, Adrianus, et al. Guidelines for Portable Weight-in-Motion (WIM) System Installation and Traffic Data Analysis: Instructor’s Guide. Texas A&M Transportation Institute, 2022, Report no. 5-6940-01-P2, ROSA P. https://rosap.ntl.bts.gov/view/dot/64300.
United States. Department of Transportation. National Highway Traffic Safety Administration
2022-07-01
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In 2010, there were 32,999 people killed, 3.9 million were injured, and 24 million vehicles were damaged in motor vehicle crashes in the United States. The economic costs of these crashes totaled $242 billion. Included in these losses are lost productivity, medical costs, legal and court costs, emergency service costs (EMS), insurance administratio
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United States. Department of Transportation. National Highway Traffic Safety Administration (2022). Quick Facts 2020 (Report No. DOT HS 813 321). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/80032
United States. Department of Transportation. National Highway Traffic Safety Administration. Quick Facts 2020. Report no. DOT HS 813 321. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://rosap.ntl.bts.gov/view/dot/80032.
United States. Department of Transportation. National Highway Traffic Safety Administration Quick Facts 2020. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 321, ROSA P. https://rosap.ntl.bts.gov/view/dot/80032.
Since the 1970's, several U.S. Acts have mandated all local and state transportation agencies across the nation to perform regular inspections of the bridges (and culverts) in their jurisdiction. These have generated valuable historical databases of bridge performance data which have remained considerably underutilized.
Banaei-Kashani, F., Rens, K., Martinez, J., Butler, N., & Tran, T. (2022). Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models [Research Brief]. Colorado. Dept. of Transportation. Research Branch. https://rosap.ntl.bts.gov/view/dot/78721
Banaei-Kashani, Farnoush, Kevin Rens, Jessica Martinez, Natasha Butler, and Thien Tran. Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models [Research Brief]. Colorado. Dept. of Transportation. Research Branch, 2022. https://rosap.ntl.bts.gov/view/dot/78721.
Banaei-Kashani, Farnoush, et al. Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models [Research Brief]. Colorado. Dept. of Transportation. Research Branch, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/78721.
On-road measurements of four pollutants (PM2.5, PM10, NO2, and O3) were continuously recorded by three U.S. EPA-certified FEM air pollution monitoring devices installed inside a vehicle traveling repeatedly on the same route in a near-road community. Spatio-temporal on-road air quality data were aggregated and compared to data collected at two fixe
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Chavez, M. C., Williams, E., Cheu, K. R., & Li, W. W. (2022). Assessing the Health and Environmental Benefits Associated With Changes in Transportation Activities in Near-Road Communities Using Low-Cost Sensors. Center for Transportation, Environment, and Community Health. (CTECH) (UTC). https://rosap.ntl.bts.gov/view/dot/63585
Chavez, Mayra C, Evan Williams, Kelvin R Cheu, and Wen-Whai Li. Assessing the Health and Environmental Benefits Associated With Changes in Transportation Activities in Near-Road Communities Using Low-Cost Sensors. Center for Transportation, Environment, and Community Health. (CTECH) (UTC), 2022. https://rosap.ntl.bts.gov/view/dot/63585.
Chavez, Mayra C, et al. Assessing the Health and Environmental Benefits Associated With Changes in Transportation Activities in Near-Road Communities Using Low-Cost Sensors. Center for Transportation, Environment, and Community Health. (CTECH) (UTC), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/63585.
The U.S. Department of Transportation (DOT) is leading a Safety Data Initiative (SDI), to enhance the analysis and visualization that informs safety policy decisions. Populus was selected to perform analysis and assess the quality of leveraging GPS trip trace data from micromobility operators such as Lime, Bird, and Superpedestrian (LINK), to serve
...
DatasetSupporting Files
Clewlow, R., Foti, F., Seki, S., & Mueting, E. (2022). Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data [supporting datasets]. United States. Department of Transportation. Office of the Secretary of Transportation. https://rosap.ntl.bts.gov/view/dot/63528
Clewlow, Regina, Fletcher Foti, Stephanie Seki, and Eliot Mueting. Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data [supporting datasets]. United States. Department of Transportation. Office of the Secretary of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/63528.
Clewlow, Regina, et al. Developing Scalable Models for Safety Insights and Improvements Using E-Scooter Exposure Data [supporting datasets]. United States. Department of Transportation. Office of the Secretary of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/63528.
In this review of seismic bearings, a compendium of public domain resources provides off-the-shelf, state-of-the-art bearing types, manufacturers, researchers, and load-deformation response data. Performance of two select seismic bearings, one generally available and one proprietary, is then assessed using finite element modeling and simulation. Th
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Mullen, C. L., & Ervin, E. K. (2022). Seismic Bearing Selection for Economic Prestressed Concrete Bridge Pier Construction (Report No. FHWA/MDOT-RD-FY-2022-319). University of Mississippi. https://rosap.ntl.bts.gov/view/dot/65834
Mullen, Chris L. and Elizabeth K. Ervin. Seismic Bearing Selection for Economic Prestressed Concrete Bridge Pier Construction. Report no. FHWA/MDOT-RD-FY-2022-319. University of Mississippi, 2022. https://rosap.ntl.bts.gov/view/dot/65834.
Mullen, Chris L., and Elizabeth K. Ervin Seismic Bearing Selection for Economic Prestressed Concrete Bridge Pier Construction. University of Mississippi, 2022, Report no. FHWA/MDOT-RD-FY-2022-319, ROSA P. https://rosap.ntl.bts.gov/view/dot/65834.
The Hartford Line, a heavy rail commuter line connecting New Haven, Hartford, CT, and Springfield, MA, with stations built and/or planned for in eleven Connecticut municipalities, received final funding approval in 2012 and opened for service in June 2018. This new commuter service may be encouraging additional transit-oriented development (TOD) al
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Cohen, J. P., Acharya, A., Wang, W., Cui, Y., Kraemer, D., & Larsen, D. A. (2022). Impacts of CTrail Hartford Line on Real Estate and Urban Economic Development: Phase 1 (Report No. CT-2314-F-22-4). Connecticut. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/64687
Cohen, Jeffrey P, Awanti Acharya, Wenjie Wang, Yunhe Cui, Daniel Kraemer, and Donald A. Larsen. Impacts of CTrail Hartford Line on Real Estate and Urban Economic Development: Phase 1. Report no. CT-2314-F-22-4. Connecticut. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64687.
Cohen, Jeffrey P, et al. Impacts of CTrail Hartford Line on Real Estate and Urban Economic Development: Phase 1. Connecticut. Department of Transportation, 2022, Report no. CT-2314-F-22-4, ROSA P. https://rosap.ntl.bts.gov/view/dot/64687.
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