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    <title>Transport Research International Documentation (TRID)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <title>Adaptive Emergency Evacuation Routing: A Graph-Based Approach</title>
      <link>https://trid.trb.org/View/2472715</link>
      <description><![CDATA[Emergency evacuation plays a vital role in disaster management operations. The existing solutions for planning and routing emergency evacuations rely on preplanning based on prior information and lack adaptability to unprecedented conditions. This study introduces a novel adaptive method for emergency evacuation routing that dynamically reshapes the road network by actively determining and adjusting the direction of road segments and assigning traffic flow to them in order to improve the maximum possible flow of traffic evacuated from a set of dangerous zones to a set of safe zones. The proposed adaptive method revolves around a novel dynamic graph-based algorithm that iteratively and recursively distributes the traffic flow across the road network using a Depth First Search (DFS) approach. When the algorithm assigns the traffic flow to the road segments, it also determines the direction of the road segments to dynamically improve the performance of the evacuation process. The proposed method was implemented in a real-world evacuation scenario in the road network of Hoboken, New Jersey. The outcomes indicated a significant improvement of more than 74% in the number of successfully evacuated vehicles when the proposed algorithm was used, compared to state-of-the-art methods for evacuation routing that are unable to adjust road directions. The outcomes of this study help decision-makers and first responders develop dynamic and adaptive emergency evacuation plans for successful disaster management operations.]]></description>
      <pubDate>Wed, 29 Jan 2025 16:56:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/2472715</guid>
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    <item>
      <title>Quantitative assessment of the impacts of disruptive precipitation on surface transportation</title>
      <link>https://trid.trb.org/View/1912336</link>
      <description><![CDATA[This article addresses the impacts of flood events on urban street networks. Macro-traffic simulation techniques were used on disrupted and undisrupted scenarios to assess the increase on the network’s mobility and accessibility. Local topographical aspects of the terrain were analyzed to identify portions of the network more prone to disruption. Flood maps were used to systematically remove links from the network, generating its disrupted state for different scenarios. The traffic assignment model generated routes using k-shortest path methods with link impedance penalty functions, selecting them based on user equilibrium assumption. Simulation results indicated the viability of the method to analyze the impacts of flood events of different severity and duration. The successful validation of this method indicated its viability as a tool for benefit cost analysis of urban improvement projects including resilience plans for high risk cities. The analysis was validated using the City of Hoboken, New Jersey’s transportation network and flood models. Results can be applied to cities with a high chance of flooding and should help authorities to effectively review their infrastructure strategic plans as well as their short and long-term urban mobility plans.]]></description>
      <pubDate>Mon, 25 Apr 2022 15:51:06 GMT</pubDate>
      <guid>https://trid.trb.org/View/1912336</guid>
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      <title>Quantitative flood risk evaluation to improve drivers’ route choice decisions during disruptive precipitation</title>
      <link>https://trid.trb.org/View/1912916</link>
      <description><![CDATA[This article describes a data-driven approach to flood risk exposure evaluation and route delineation during heavy rainfall events. The authors cross-referenced diverse geospatial and drainage infrastructure datasets with the street network of Hoboken to uncover the factors that increase flood risk. Elevation, slope, precipitation level, imperviousness, and distance to the drainage system’s outlets were the most significant predictors to link flooding. The authors used the link flood risk patterns found in the data to train a reinforcement learning model that generates routes that avoid flood-prone areas. They benchmarked the route assistance model with shortest path and most reliable path algorithms, demonstrating their model has balanced path length and path reliability. The authors provided the flood risk model outputs at the link-level, which city authorities can use to plan road closures ahead of heavy precipitation events. The route assistance model can be used by drivers to better navigate flood-prone environments by detouring around riskier areas or canceling trips altogether.]]></description>
      <pubDate>Wed, 23 Mar 2022 10:53:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/1912916</guid>
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      <title>A Unique Case of Bikesharing Success in a Small City: JerseyBike in Hoboken</title>
      <link>https://trid.trb.org/View/1857014</link>
      <description><![CDATA[Several studies claim that, due to low usage, bikesharing programs could not be a financially sustainable service in small cities. Moreover, six large cities in the U.S. account for about 85% of bikesharing ridership, while the rest of the country generates only 15% of the ridership. This study investigates a thriving bikesharing program in Hoboken, a small city in New Jersey, with a 50,000 population. This paper investigates the socio-economic factors contributing to this success, as well as the riders’ behaviors. A combination of descriptive statistics, data visualization, spatiotemporal, and statistical analyses is used to investigate the program. JerseyBike is compared with three bikesharing programs in small cities in the U.S. The results imply that a positive biking culture, high public transit ridership, partnership with public and private sectors, sustainable business model, existing bike facilities, and population density contribute to this success. JerseyBike provides first-mile and last-mile mobility for public transit commuters, facilitating access to public transit in low population density areas. The results reveal how the purpose of bikesharing trips changes throughout a week and how weather conditions (e.g., precipitation) influence demand for bikesharing. Finally, recommendations for policymakers and investors are presented to assist the adoption of bikeshare programs.]]></description>
      <pubDate>Fri, 23 Jul 2021 15:26:40 GMT</pubDate>
      <guid>https://trid.trb.org/View/1857014</guid>
    </item>
    <item>
      <title>Special Investigation Report: End-of-Track Collisions at Terminal Stations, Hoboken, New Jersey, September 29, 2016 and Atlantic Terminal, Brooklyn, New York, January 4, 2017</title>
      <link>https://trid.trb.org/View/1503129</link>
      <description><![CDATA[The National Transportation Safety Board (NTSB) launched investigative teams to two very similar accidents within 13 weeks of one another. In both accidents, the engineers failed to stop their trains before reaching the end of a terminating track at a station. The September 29, 2016, accident on the New Jersey Transit commuter railroad at Hoboken, New Jersey, killed one person, injured 100, and resulted in major damage to the passenger station. The January 4, 2017, accident on the Long Island Rail Road (a subsidiary of Metropolitan Transportation Authority) at the Atlantic Terminal in Brooklyn, New York, injured 108 people. As the NTSB investigations progressed, it became apparent that these accidents had almost identical probable causes and safety issues. The report highlights the lessons learned from these accidents to reduce the risk of impairment of safety-sensitive personnel due to undiagnosed and untreated obstructive sleep apnea (OSA), require the use of technology to stop trains before reaching the end of tracks, and provide guidance for improving the effectiveness of system safety program plans (SSPP) to improve railroad safety at stations with terminating tracks. The NTSB is issuing two new safety recommendations to the Federal Railroad Administration and two new safety recommendations to New Jersey Transit and the Metropolitan Transportation Authority. In addition, the NTSB is reiterating two safety recommendations to the Federal Railroad Administration.]]></description>
      <pubDate>Mon, 09 Apr 2018 11:42:30 GMT</pubDate>
      <guid>https://trid.trb.org/View/1503129</guid>
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      <title>Railroad Accident Brief: New Jersey Transit Train Strikes Wall in Hoboken Terminal, Hoboken, New Jersey, September 29, 2016</title>
      <link>https://trid.trb.org/View/1503127</link>
      <description><![CDATA[On September 29, 2016, about 8:38 a.m. eastern daylight time, New Jersey Transit (NJT) train 1614 failed to stop, overrode a bumping post at the end of track 5, and struck a wall of the Hoboken Terminal in Hoboken, New Jersey. Train 1614 consisted of one controlling passenger car (cab car), three passenger cars, and one locomotive at the rear of the train. The train was traveling about 21 mph at the time of the accident.  About 250 passengers and 3 crewmembers (engineer, passenger car conductor, and assistant conductor) were on the train. One person on the passenger platform was struck by falling debris and died; 110 passengers and crewmembers were injured. Total damage to the train, track, and facility is estimated at $6 million. At the time of the accident, the sky was overcast, an 18-mph wind was coming from the northeast, and the temperature was 63˚F.  The National Transportation Safety Board determined that the probable cause of the Hoboken, New Jersey, accident was the failure of New Jersey Transit train 1614’s engineer to stop the train after entering Hoboken Terminal due to the engineer’s fatigue resulting from his undiagnosed severe obstructive sleep apnea. Contributing to the accident was New Jersey Transit’s failure to follow its internal obstructive sleep apnea screening guidance and refer at-risk safety-sensitive personnel for definitive obstructive sleep apnea testing and treatment. Further contributing to the accident was the Federal Railroad Administration’s failure to require railroads to medically screen employees in safety-sensitive positions for obstructive sleep apnea and other sleep disorders. Also contributing to the accident was the lack of either a device or safety system that could have intervened to stop the train before the collision.]]></description>
      <pubDate>Mon, 09 Apr 2018 11:42:30 GMT</pubDate>
      <guid>https://trid.trb.org/View/1503127</guid>
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    <item>
      <title>Integrating Passenger Ferry Service with Mass Transit</title>
      <link>https://trid.trb.org/View/1246941</link>
      <description><![CDATA[The purpose of this synthesis was to document the state of the practice and integration between land- and water-based transit systems and to explore successful aspects of seamless integration. The report assembles and presents information in numerous locations around the United States, supplemented with examples from Canada, Australia, and Bermuda. To accomplish this effort a literature review was undertaken that received limited results. However, a selected survey of 46 respondents out of 57 transit and ferry agencies, as well as agencies and companies in Canada, Australia, and the United Kingdom, including Bermuda, received an 80% response rate. The respondents represent a geographically representative sample—varying in size and age of system, degree of coordination between ferry and transit, and type of community served. The synthesis summarizes findings from 60 different ferry-to-land-based transit interfaces. Case examples of key factors of land- and water-based integration are offered for Long Wharf in Boston, Massachusetts, TransLink's SeaBus in Vancouver, British Columbia; New York Waterway's Hoboken Terminal; and Washington State Ferries and Kitsap Transit in Bremerton, Washington.]]></description>
      <pubDate>Wed, 03 Apr 2013 11:42:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/1246941</guid>
    </item>
    <item>
      <title>Geospatial Analysis of Pedestrian and Cyclist Crashes in an Urban Environment: A Case Study</title>
      <link>https://trid.trb.org/View/1242008</link>
      <description><![CDATA[Most urban dwellers today do not need to be convinced of the benefits of walking and cycling, which range from improving health and refining the environment to easing traffic congestion and improving a community’s economy. While practices and policies have been established to promote these transportation modes, many challenges still exist which restrain this growth in practice. To identify some of these challenges, the authors performed pedestrian and cyclist safety analyses in an urban center, the city of Hoboken, New Jersey, where potential demands were anticipated. Having the Hoboken terminal as a major intermodal regional hub in this city, the authors performed geospatial safety analyses of pedestrians and cyclists in the vicinity of this terminal. The findings revealed that the number of pedestrian and cyclist injuries decreased as the distance from the Hoboken terminal increased. The frequency of injury was also normalized against population and land use characteristics. While the estimated rates roughly follow the trend of injury frequency, more investigations have been performed to discover contributors such as inadequacy of pedestrian facilities, ambient lighting, and traffic controls at intersections, which may elevate crash exposure risks. The investigation also showed that there was a correlation between the location of bus stops and pedestrian injuries/fatalities, particularly at a further distance from the Hoboken terminal. The study of pre-crash actions and crash-contributing circumstances suggested that pedestrian safety was in jeopardy mostly at intersections and particularly at crosswalks. The same assessments were also carried out for cyclists and cyclist facilities.  Safety analyses suggested that an establishment of dedicated bike lanes had improved safety at the test-bed area; however, more enhancements were required to foster this transport mode.]]></description>
      <pubDate>Thu, 21 Feb 2013 09:10:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/1242008</guid>
    </item>
    <item>
      <title>Railroad Accident Report: Collision of Port Authority Trans-Hudson Train with Bumping Post at Hoboken Station, May 8, 2011</title>
      <link>https://trid.trb.org/View/1224026</link>
      <description><![CDATA[On May 8, 2011, about 8:32 a.m. eastern daylight time, Port Authority Trans-Hudson Corporation (PATH) train 820, consisting of seven multiple-unit electric locomotives, was routed to platform track 2 to offload passengers at the Hoboken station in Hoboken, New Jersey, when it struck the bumping post at the end of the track. It was estimated that 70 passengers were on board the train. As a result of the collision, 30 passengers, the engineer, and the conductor were transported to local hospitals with non-life-threatening injuries and released the same day. Five injured passengers refused medical attention on scene. PATH estimated total damages to be $352,617. The National Transportation Safety Board determines that the probable cause of the accident was the failure of the engineer to control the speed of the train entering the station. Contributing to the accident was the lack of a positive train control system that would have intervened to stop the train and prevent the collision.]]></description>
      <pubDate>Thu, 13 Dec 2012 09:26:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/1224026</guid>
    </item>
    <item>
      <title>Great Places in America</title>
      <link>https://trid.trb.org/View/1090330</link>
      <description><![CDATA[This article highlights the American Planning Association’s annual “Great Places in America” choices for 2010.  Each year, the APA selects streets, neighborhoods, and public spaces that reflect a planning vision, foster a community’s sense of place, enhance the quality of life and promote sustainability.  The great streets were chosen based on their successes in serving a variety of users, connecting to the broader transportation network and making use of green infrastructure.  Streets in Clayton, Missouri; Eureka Springs, Arkansas; Franklin, Pennsylvania; Hoboken, New Jersey; Lawrence, Kansas; Middleburg, Virginia; Red Lodge, Montana; New Bern, North Carolina; San Diego, California; and Wallace, Idaho were chosen.  The neighborhood choices include communities in Boston, Massachusetts; Cincinnati, Ohio; Denver, Colorado; Frederick, Maryland; Jacksonville, Florida; Lafayette, Indiana; Las Vegas, Nevada; Oak Park, Illinois; Oklahoma City, Oklahoma; and Sioux Falls, South Dakota.  These neighborhoods were deemed outstanding in their accessibility as well as their ability to foster social interaction and offer a variety of living environments.  Public spaces in Birmingham, Alabama; Boca Raton, Florida; Boston, Massachusetts; Bowling Green, Kentucky; Detroit, Michigan; New York, New York; Olympia, Washington; Philadelphia, Pennsylvania; San Antonio, Texas; and San Francisco, California were recognized for their role as gathering places for their communities.]]></description>
      <pubDate>Wed, 16 Feb 2011 13:42:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/1090330</guid>
    </item>
    <item>
      <title>Mid-air collision over Hudson River, Piper PA-32R-300 and Eurocopter AS350BA, near Hoboken, New Jersey</title>
      <link>https://trid.trb.org/View/1089856</link>
      <description><![CDATA[]]></description>
      <pubDate>Tue, 01 Feb 2011 13:06:36 GMT</pubDate>
      <guid>https://trid.trb.org/View/1089856</guid>
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    <item>
      <title>Aircraft Accident Summary Report: Midair Collision Over Hudson River, Piper PA-32R-300, N71MC and Eurocopter AS350BA, N401LH Near Hoboken, New Jersey, August 8, 2009</title>
      <link>https://trid.trb.org/View/987331</link>
      <description><![CDATA[This accident summary report discusses the August 8, 2009, accident involving a Piper PA-32R-300 airplane, N71MC, and a Eurocopter AS350BA helicopter, N401LH, operated by Liberty Helicopters, which collided over the Hudson River near Hoboken, New Jersey. The pilot and two passengers aboard the airplane and the pilot and five passengers aboard the helicopter were killed, and both aircraft received substantial damage from the impact. The airplane flight was operating under the provisions of 14 Code of Federal Regulations (CFR) Part 91, and the helicopter flight was operating under the provisions of 14 CFR Parts 135 and 136. No flight plans were filed or were required for either flight, and visual meteorological conditions prevailed at the time of the accident. The safety issues discussed in this report address changes within the recently designated special flight rules area (SFRA) surrounding the Hudson River corridor, vertical separation among aircraft operating in the Hudson River SFRA, the see-and-avoid concept, and helicopter electronic traffic advisory systems. Five new safety recommendations to the Federal Aviation Administration are included in the report.]]></description>
      <pubDate>Thu, 18 Nov 2010 11:49:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/987331</guid>
    </item>
    <item>
      <title>Hoboken launches own car sharing program aimed at reducing car ownership</title>
      <link>https://trid.trb.org/View/968308</link>
      <description><![CDATA[Subtitle: Estimated to remove 750 cars from streets.]]></description>
      <pubDate>Fri, 15 Oct 2010 12:26:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/968308</guid>
    </item>
    <item>
      <title>Communicating the Benefits of TOD: The City of Evanston’s Transit-Oriented Redevelopment and the Hudson Bergen Light Rail Transit System</title>
      <link>https://trid.trb.org/View/894294</link>
      <description><![CDATA[This is a tale of three cities—Jersey City and neighboring Hoboken in New Jersey, and Evanston, Illinois – that have experienced an enormous amount of development since the late 1980s, reversing three decades of decline brought on by the great suburban exodus of the 1950s. The result is that in 2006 all three cities are prospering, posting significant increases in property values and sales taxes and other revenues due to the building boom and resulting increases in business activity. The amount of high-density development that has occurred could never have occurred this quickly if these cities did not have rich transit networks providing very high-quality connections to the abundant jobs, culture and destinations in their big city neighbors: Manhattan is across the Hudson River from Hoboken and Jersey City; Chicago and Evanston share a border. All the neighborhoods exhibit the performance characteristics that define TOD: the massing of significant density near transit to create “location efficiency” that promotes walking, biking, transit use and low auto ownership; increased transit ridership and nonauto mode share; a rich mix of uses and consumer choices; significant value creation and value capture by both the public and private sectors; and the creation of a sense of place. Moreover, existing historic neighborhoods are being preserved and enhanced by the proximity of more diverse housing, shopping and entertainment choices, and the increases in traffic are minimal. The transformation of these cities has played out slightly differently – though over a similar time frame and beginning with a concerted planning effort by public sector, the creation of financial incentives for developers, and public investments in public amenities like promenades and parks and expensive TOD components like structured parking. But whereas Evanston’s extensive multimodal transit system was already in place, New Jersey built a new 20-mile light rail line through brownfields and abandoned industrial sites to enhance connectivity with existing commuter rail, bus and ferry service, resulting in a land speculation and development boom unprecedented in scope. All three cities are emerging as vital, resource-rich, more sustainable places because of the presence of so much development so close to transit. Communities throughout the U.S. continue to fear density and development in 2006, mostly because of the traffic that is anticipated. The case studies of New Jersey and Evanston illustrate that there’s little to fear: transit-oriented density and development can enhance surrounding neighborhoods.]]></description>
      <pubDate>Tue, 21 Jul 2009 08:13:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/894294</guid>
    </item>
    <item>
      <title>Past Hoboken: Automated Parking Facilities Enter Hopeful New Era</title>
      <link>https://trid.trb.org/View/889028</link>
      <description><![CDATA[This article describes how a successful automated parking garage, also known as an automated parking facility (APF) in Hoboken, New Jersey, may finally make automated parking garages popular in the U.S. The Hoboken parking facility was initially a failure when it first opened in 1999. The troubled project resumed operations in 2008, and acceptance for APFs is growing in the U.S. Europeans, however, have enjoyed these types of parking facilities for years. The article describes the history of mechanical garages, and explains how they operate, why it took so long for Americans to develop and use them, and considerations involved in choosing this type of parking facility. A sidebar describes the environmental, economic, and social benefits of automated parking systems.]]></description>
      <pubDate>Fri, 29 May 2009 08:50:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/889028</guid>
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