<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <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>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>Bicycle Justice or Just Bicycles? Analyzing Equity in Baltimore’s Bike Share Program</title>
      <link>https://trid.trb.org/View/1571752</link>
      <description><![CDATA[Bike share systems have become a common feature of the modern urban landscape and provide residents and visitors with an active transportation mode. Yet these systems have sustained equity-focused criticism for serving a narrow demographic band of residents and visitors, while others lack access and face barriers to usage. The City of Baltimore, Maryland, launched a bike share system in 2016. This study evaluates Baltimore’s new system from an equity-focused lens using two complementary approaches. The first approach, which is a GIS-based equity gap analysis, develops a population-density-normalized Bike Equity Index to quantitatively assess the spatial distribution of the city’s bicycle infrastructure supply and how it serves (or doesn’t serve) Baltimore’s transit-dependent and environmental justice communities. The second analytic orientation, which applies a user and barrier analysis, utilizes survey data to identify the low-equity groups and the variables that limit (or don’t limit) their demand for the city’s bike share program. When combined, the two perspectives—one top-down and the other bottom-up—present a more comprehensive picture and nuanced understanding of the current system’s equity performance. The research findings demonstrate that Baltimore Bike Share infrastructure is unevenly distributed across the city’s many communities and is under-supplied in areas with residents who are transit-dependent. Furthermore, the results support claims of a demographic mismatch between current bike share system users and the general population. The communities underrepresented among Baltimore Bike Share users are less educated, lower-income, nonwhites, Hispanics, and females. The research indicates that females express concern over certain barriers to accessing and using Baltimore Bike Share, including how to use the system, personal safety, helmet use, harassment, and hygiene. No significant barriers were identified for the other underrepresented demographic groups. To enhance the equity of the system, the research team recommends that the City of Baltimore prioritize bike share system expansion into the neighborhoods east and west of the downtown corridor. A robust community outreach strategy that targets underrepresented populations is also recommended and should include initiatives such as a grassroots bike share ambassador program and organized community rides. The bike share docking stations can also be leveraged for their advertising potential and should contain marketing materials that speak directly to underrepresented communities.]]></description>
      <pubDate>Thu, 27 Dec 2018 10:59:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/1571752</guid>
    </item>
    <item>
      <title>The impact of rainfall on the temporal and spatial distribution of taxi passengers</title>
      <link>https://trid.trb.org/View/1486747</link>
      <description><![CDATA[This paper focuses on the impact of rainfall on the temporal and spatial distribution of taxi passengers. The main objective is to provide guidance for taxi scheduling on rainy days. To this end, the authors take the occupied and empty states of taxis as units of analysis. By matching a taxi's global positioning system (GPS) data to its taximeter data, the authors can obtain the taxi's operational time and the taxi driver's income from every unit of analysis. The ratio of taxi operation time to taxi drivers' income is used to measure the quality of taxi passengers. The research results show that the spatio-temporal evolution of urban taxi service demand differs based on rainfall conditions and hours of operation. During non-rush hours, taxi demand in peripheral areas is significantly reduced under increasing precipitation conditions, whereas during rush hours, the demand for highly profitable taxi services steadily increases. Thus, as an intelligent response for taxi operations and dispatching, taxi services should guide cruising taxis to high-demand regions to increase their service time and ride opportunities.]]></description>
      <pubDate>Mon, 30 Oct 2017 17:15:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/1486747</guid>
    </item>
    <item>
      <title>Methods to Estimate Spatial Distribution of Local Meteorological Conditions along Railway Line</title>
      <link>https://trid.trb.org/View/1440442</link>
      <description><![CDATA[In order to estimate meteorological conditions on a time-scale and spatial-scale sufficient to prevent meteorological disasters on the railway system by interpolating data collected from anemometers or rain gauges, meteorological conditions were estimated using numerical simulations. Numerical simulation results were compared with recorded data for strong winds, heavy rainfall, and heavy snowfall. As a result, although there were cases where meteorological conditions were underestimated in the numerical simulations, it was possible to reproduce meteorological phenomena qualitatively.]]></description>
      <pubDate>Tue, 27 Dec 2016 08:42:55 GMT</pubDate>
      <guid>https://trid.trb.org/View/1440442</guid>
    </item>
    <item>
      <title>Predicting the Distribution of Households and Employment: A Seemingly Unrelated Regression Model with Two Spatial Processes</title>
      <link>https://trid.trb.org/View/884816</link>
      <description><![CDATA[Household and employment counts (by type) are key inputs to models of travel demand. For a variety of reasons, spatial dependence is very likely present in and across these counts. In order to identify the nature of these unobserved relationships, this study performs a series of Lagrange multiplier tests to confirm the co-existence of spatial lag and error processes within individual equations (6 household types and 3 employment categories). It then provides the first application of a feasible generalized spatial 3SLS estimation procedure for a seemingly unrelated regression (SUR) model of these equations. In the resulting model of Austin, Texas data, local land use conditions offer substantial predictive power of households and jobs, and transportation access plays a role, as anticipated.  The work demonstrates that SUR estimation of land use intensities from parcel-level data with two types of spatial dependence is feasible and meaningful. Coupled with an upstream model of land use type, this work offers the key inputs for travel demand analyses, with transportation system performance feedback.]]></description>
      <pubDate>Mon, 16 Mar 2009 07:22:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/884816</guid>
    </item>
    <item>
      <title>The Influence of a Bypass Road On Urban Development and Residential Location Choice</title>
      <link>https://trid.trb.org/View/885523</link>
      <description><![CDATA[This study analyzes the impact of a new bypass road on the development of a small and medium size towns through five case studies in Israel: two small Arab cities, one medium Arab city and two medium Jewish cities. This paper focuses on the first case-study based on Majd-Elcrum, a small Arab city in the Galilee. The study analyzes the various impacts of such bypasses including changes in property values, changes in the spatial distribution of residential housing and business activities of various types and changes in land use. It also establishes a reference for comprehending the procedures involved in selecting locations for living premises, as well as understanding the changes in vehicular and pedestrian commuting patterns, as a reaction to alterations in accessibility to homes, businesses and various activities as a result of bypass road construction. Two methods were applied in this study: first, a descriptive longitudinal analysis approach, investigating changes that have occurred over a length of time both previous to and subsequent to the creation of the bypass roads was conducted.  In the second phase a residential choice model is estimated based on stated preference survey. The conclusion from the first phase shows that the construction of the bypasses had major effects on land - use development in the town.  The residential choice model results show that all location variables, planning variables and land use variables are important determinants in residential choice much more than size and price.]]></description>
      <pubDate>Mon, 16 Mar 2009 07:22:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/885523</guid>
    </item>
    <item>
      <title>New Film Thickness Models for Iowa Hot Mix Asphalt</title>
      <link>https://trid.trb.org/View/836127</link>
      <description><![CDATA[Beyond rutting and fatigue, mixture durability is a key hot mix asphalt (HMA) performance characteristic. Mix design criteria in Iowa uses film thickness to ensure adequate mix durability. The current film thickness model is based on 1940s technology and analysis approaches. The use of today’s computing power and mathematical models gives us the opportunity to better understand film thickness as a tool to measure HMA durability. A new model based on random spatial distribution of particles is applied to the film thickness concept and compared to Iowa DOT HMA mixtures. The results indicate that this new model may better measure mixture durability because it is sensitive to more variables that impact durability.]]></description>
      <pubDate>Tue, 25 Sep 2007 07:49:55 GMT</pubDate>
      <guid>https://trid.trb.org/View/836127</guid>
    </item>
    <item>
      <title>Spatial Distribution of Excess Pore-Water Pressure Due to Piezocone Penetration in Overconsolidated Clay</title>
      <link>https://trid.trb.org/View/811444</link>
      <description><![CDATA[This paper presents the results of an analysis of the spatial distribution of the excess pore-water pressure induced by piezocone penetration into overconsolidated clays. From the experimental results obtained for moderately and heavily overconsolidated clays, it was observed that the excess pore-water pressure increases monotonically from the piezocone surface to the outer boundary of the shear zone and then decreases logarithmically, approaching zero at the outer boundary of the plastic zone. It was also found that the size of the shear zone decreases from approximately 2.2. to 1.5 times the cone radius with increasing overconsolidation ratio (OCR), whereas the plastic radius is about 11 times the piezocone radius, regardless of the OCR. The expressions developed in this study based on the modified Cam clay model and the cylindrical cavity expansion theory, which take into consideration the effects of the strain rate and stress anisotropy, provide a good prediction of the initial pore-water pressure at the piezocone location. The method of predicting the spatial distribution of excess pore-water pressure proposed in this study is based on a linearly increasing delta u sub shear in the shear zone and a logarithmically decreasing delta u sub oct, and was verified by comparing the pore-water pressure measured in overconsolidated specimens in the calibration chamber.]]></description>
      <pubDate>Fri, 20 Jul 2007 09:56:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/811444</guid>
    </item>
    <item>
      <title>Environmental Justice Analysis: Challenges for Metropolitan Transportation Planning</title>
      <link>https://trid.trb.org/View/802439</link>
      <description><![CDATA[This research focuses on three major challenges of incorporating environmental justice into metropolitan transportation planning. The data needed are compared with the data currently available on the spatial distributions of race and income, the spatial distributions of trip ends, trip tables, network performance, and cost estimates of improvements. Several conflicting definitions of equity are offered, as are applications for each within the context of environmental justice. The importance of choosing a correct unit of analysis is discussed, with particular emphasis on how the geographic unit of analysis is a poor proxy for the group unit, which is theoretically required, as the analysis’s purpose is to compare performance measures across groups. The primary goal of this paper is to explore challenging topics such as these raising questions and concerns. The answers to the questions raised will differ depending on each implementing agency’s objectives and resources.]]></description>
      <pubDate>Wed, 18 Apr 2007 07:18:16 GMT</pubDate>
      <guid>https://trid.trb.org/View/802439</guid>
    </item>
    <item>
      <title>Development and Evaluation of Aggregate Destination Choice Models for Trip Distribution in Florida</title>
      <link>https://trid.trb.org/View/803553</link>
      <description><![CDATA[Discrete choice modeling techniques have been used to model simultaneously the effects of land use and socioeconomic and demographic characteristics on travel behavior. To evaluate the performance of destination choice models with aggregate alternatives at the level of the travel analysis zone in allocating trips between zone pairs, this study developed three sets of home-based work models by using data collected from Broward, Palm Beach, and Volusia Counties in Florida. An objective for this study was to identify the benefit of destination choice models to urban areas of different sizes and characteristics. The spatial distribution patterns from the models were compared with those obtained from gravity models. The results from this study show that all urban areas benefited from destination choice models regardless of the urban size.]]></description>
      <pubDate>Fri, 24 Mar 2006 15:11:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/803553</guid>
    </item>
    <item>
      <title>HIGHWAYS, CHANGING LAND USE, AND IMPACTS ON RURAL LIFE</title>
      <link>https://trid.trb.org/View/52407</link>
      <description><![CDATA[Current interest in problems of land use has stimulated the compilation of large amounts of land-use data.  The impact of factors and facilities determining land-use patterns must be quantified if these data are to be made useful in decision making.  This report focuses upon measurement of the impact of highways.  It briefly describes methods used in estimating the extent and distribution of various types of land use in an approximately 2,150 square mile area of New York's Appalachian Upland.  Regularities in the spatial distribution of three of these types of land use are discussed, as are some of the associated impacts on rural life.  /GMRL/]]></description>
      <pubDate>Tue, 20 Sep 1977 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/52407</guid>
    </item>
  </channel>
</rss>