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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>
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    <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>Social Science Applications in Sustainable Aviation Biofuels Research: Opportunities, Challenges, and Advancements</title>
      <link>https://trid.trb.org/View/2071999</link>
      <description><![CDATA[Social science has an important role in aviation biofuels research, yet social science methods and approaches tend to be underdeveloped and under-utilized in the broader aviation biofuels literature and biofuels overall. Over the last 5 years, social science approaches in aviation biofuels research, particularly site-selection, have made several advances. Where early site-selection models either entirely excluded social science concepts or included only a few measurements using poor proxies, current models more accurately, and more comprehensively capture key social science concepts to better examine and predict project implementation success and long-term sustainability. Despite several studies published within the last 20 years noting the need for more empirical studies of social sustainability and improvement in incorporation of social criteria, progress has remained rather stagnant in several areas. To help move the field forward, the authors conduct a review of the current state of social science research in aviation biofuels with a focus on sustainability, site-selection, and public acceptance research, identifying key approaches, important developments, and research gaps and weaknesses of current approaches. While several review studies already exist, they tend to focus on a single area of biofuels such as public acceptance. By broadening the review to several areas, the authors are able to identify several common limitations across these areas that contribute to the continued underutilization of social science approaches in aviation biofuels. This includes the preference for practical and reliable indicators for social criteria that prioritize quantitative methods over other approaches. Based on these limitations, the authors make several recommendations to improve social science research in aviation biofuels, including ensuring that social scientists are key members of the research team, the adoption of a mixed-methods research designs that combines quantitative and qualitative approaches that better measure some criteria and local-level impacts, and adequate resources for social science research throughout biofuel development projects as these methods are often more time-consuming and costly to implement. The authors argue that implementing these recommendations in future aviation biofuel development projects will improve social science approaches utilized in aviation biofuels research and address a long-acknowledged gap in the field.]]></description>
      <pubDate>Thu, 08 Dec 2022 09:13:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2071999</guid>
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      <title>Problems of studying the social role of transport in a sociology course</title>
      <link>https://trid.trb.org/View/1993710</link>
      <description><![CDATA[The article analyses the experience of the Department of Social Studies and Management at Moscow Automobile and Road Construction State Technical University (MADI), aimed to introduce the issues relating to sociology of transport into the cycle of humanities and social sciences. The present paper was designed with regard for the modern needs considering the transition of the higher school to new educational technologies using the principles of trans disciplinarity and integrated learning. It has been proved that transport sociology issues enable the teacher to rise to a higher theoretical level in the analysis of social reality and to present this subject area in class in a way accessible to students. The areas where theoretical and practical aspects of transport development are combined, those arousing students’ keen interest, are highlighted. Such areas include: the changing time factor notion; people’s behavior relating to transport; functioning of transport in the context of the pandemic coronavirus infection, etc. The educational component of efficient transport policy, if properly presented, is viewed as well as an argument to prove the importance of integrating the issues pertaining to the social role of transport into such academic disciplines as sociology, public administration theory, business communication, time management, etc.]]></description>
      <pubDate>Wed, 17 Aug 2022 09:33:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/1993710</guid>
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    <item>
      <title>Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method</title>
      <link>https://trid.trb.org/View/1864552</link>
      <description><![CDATA[Dockless sharing bikes play an increasingly significant role in transit transfer, especially for the first/last mile. However, it is not always accessible for users to find sharing bicycles. The objective of this paper is to assess the accessibility of dockless sharing bikes from a network perspective, which would provide a decision-making basis not only for potential bike users but also for urban planners, policymakers, and bicycle suppliers to optimize sharing-bike systems. Considering bicycle travel characteristics, a hierarchical clustering algorithm was applied to construct the dockless sharing-bike network. The social network analysis (SNA) method was adopted to assess the accessibility of the bike network. Then, a spatial interaction model was chosen to conduct a correlation analysis to compare the accessibility obtained from the SNA approach. The case study of Shanghai indicates a strong connection between the accessibility and the SNA indicators with the correlation coefficient of 0.779, which demonstrates the feasibility of the proposed method. This paper contributes to a deep understanding of dockless sharing-bike network accessibility since the SNA approach considers both the interaction barriers and the network structure of a bicycle network. The developed methodology requires fewer data and is easy to operate. Thus, it can serve as a tool to facilitate the smart management of sharing bikes for improving a sustainable transportation system.]]></description>
      <pubDate>Fri, 23 Jul 2021 15:25:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/1864552</guid>
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    <item>
      <title>The Effect of Transit Passes Within School Walk Zones on School Attendance</title>
      <link>https://trid.trb.org/View/1759632</link>
      <description><![CDATA[In multiple U.S. cities, school districts and transit providers have begun to collaborate and implement programs to provide students access to public transit to either replace or supplement yellow school buses.  Although these programs have been widely acknowledged as a promising and innovative solution by practitioners, there is no empirical research evidence to date confirming the benefits of these programs to individual students. This paper responds to this research gap by exploiting the introduction of Minneapolis’ Go-To Student Pass program – a transportation program that began to provide student access to public transit in August 2013 – on students’ school attendance rates. Both traditional Difference-in-differences (DD) models and Two-Way Fixed Effects (TWFE) models are specified to compare all students living within a 2-mile radius of their school, of which only Free-and-Reduced Lunch (FRL) eligible students received Go-To-Passes. Poisson regressions estimate that pass provision reduces excused absences by about 36%, yet negligibly affects unexcused absences. While the traditional DD approach yields insignificant results on total absences, the TWFE specification finds that student passes reduced total absences by 18%. All statistically significant findings are reported at a 95% confidence level.]]></description>
      <pubDate>Thu, 04 Feb 2021 10:57:38 GMT</pubDate>
      <guid>https://trid.trb.org/View/1759632</guid>
    </item>
    <item>
      <title>A green view index for urban transportation: How much greenery do we view while moving around in cities?</title>
      <link>https://trid.trb.org/View/1742648</link>
      <description><![CDATA[Urban transportation systems are among the key aspects of infrastructure in cities. Greenery positively influences urban environments and the experience of residents during transportation. However, existing studies have not yet established a substantial connection between the greenery visible at street level and urban transportation. In the authors' study, they focus on the integration of social science disciplines and information technology in the context of transportation. The authors prioritize people’s experiences of the transportation process, placing foremost importance on the comfort of passengers themselves. The authors use a human perspective concept, supported using street view images, to propose a new index, the Green View Index – Urban Transportation (GVI-UT). The GVI-UT highlights the crucial role of transportation routes and modes in street greenery evaluation. It is defined according to a passenger’s ability to see greenery on the street while being transported. The GVI-UT calculation comprises four steps: obtaining street view panoramic photographs; calculating green views based on these photographs; route planning using Web application programing interfaces; and overlay analysis. This study provides a theoretical framework and a range of innovative ideas for achieving a person-centered perspective on the experience of the transportation process. Through quantitative evaluation of the green-view status of residents’ transportation options, policy recommendations for urban transportation planning and green construction are provided to promote green visibility during urban transportation. Through extracting greater information from existing street view data, the authors allow such data to play a more valuable role in the construction of urban transportation systems.]]></description>
      <pubDate>Fri, 16 Oct 2020 09:52:49 GMT</pubDate>
      <guid>https://trid.trb.org/View/1742648</guid>
    </item>
    <item>
      <title>A constructive role for social science in the development of automated vehicles</title>
      <link>https://trid.trb.org/View/1714725</link>
      <description><![CDATA[Automated vehicles (AVs) have the potential to cause profound shifts across a wide range of areas of human life, including economic structures, land use, lifestyles and personal well-being. Most current social science on AVs is narrowly framed. Research on public attitudes has focused on whether people are likely to accept and use AVs. The authors contend that failing to anticipate a wider range of profound social implications may have serious negative consequences, and that social scientists from a range of disciplinary perspectives can provide invaluable insights. The authors' conclusions are the product of a workshop in London held in 2018 to discuss the place of social science research in relation to the development of AVs. This paper summarises a core selection of the authors' concerns, interests, theoretical and substantive points of reference and aspirations for a constructive role in this field of research and development.]]></description>
      <pubDate>Mon, 13 Jul 2020 10:33:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/1714725</guid>
    </item>
    <item>
      <title>An interdisciplinary review to develop guidelines for modeling population displacement as a function of infrastructure reconstruction decisions</title>
      <link>https://trid.trb.org/View/1667818</link>
      <description><![CDATA[Multiyear population displacement is a feature of natural disasters that have caused widespread infrastructure damage. This interdisciplinary, transportation-centric survey paper offers guidelines for civil infrastructure system (CIS) models supporting recovery managers and transportation system managers who are seeking to reduce displacement duration. Social science and transportation literature describe the linkages between infrastructure and long-term population displacement and identify key infrastructure systems needed to resolve population displacement. Resilience literature, particularly the well-known performance recovery curve, is extended to show how infrastructure interdependencies affect reconstruction timelines, and how repair of key infrastructure therefore forms a lower bound on displacement duration that can be estimated using a CIS. CIS modeling literature describes model types and interdependencies for post-disaster recovery models concerned with displacement. These high-level requirements and design specifications are summarized within a simple scorecard and used to evaluate thirteen recent quantitative, recovery-focused CIS models for potential application to disaster displacement. The most common data gaps are transportation and building systems, and a majority of models neglect jurisdictions, funding constraints, and any mention of people in model goals or outputs. The authors conclude by identifying urgent research questions, discussing issues of data type and resolution, and suggesting appropriate outputs for decision support.]]></description>
      <pubDate>Wed, 04 Dec 2019 17:11:30 GMT</pubDate>
      <guid>https://trid.trb.org/View/1667818</guid>
    </item>
    <item>
      <title>The social representations of cycling practices: An analysis of symbolic, emotional, material and bodily components, and their implication for policies</title>
      <link>https://trid.trb.org/View/1627501</link>
      <description><![CDATA[Drawing on social representation theory and its connections with approaches to embodiment and social practice, the paper reports the result of a survey investigation (based on an on-line semi-structured questionnaire; N = 305) that studied the cognitive, emotional and sensorial components of the social representations of cycling. The general aim was to show how these theoretical frameworks can be used to identify the social-cultural barriers that might hamper the individual use of the bike for everyday purposes in addition to the mere infrastructural ones, and to assess possible variabilities in function of various factors of social-psychological (i.e. the perceived quality of the residential environment), experiential (i.e. linked to the individual daily practices), and geographical (i.e. big vs small urban areas of residence) nature. Results confirm the potentialities of these models to provide a deeper understanding of cycling practices, for example, suggesting, how, rather than being univocal and homogenous, people’s shared conceptions regarding the topic investigated can vary depending on many of the factors considered, among which those of experiential and geographical nature seem to play a prominent role. The paper also discusses the implications for policies directed to fostering the adoption of more sustainable forms of transport within and outside urban areas, as well as their ability to broaden the theoretical understanding of cycling behaviour within social sciences in general.]]></description>
      <pubDate>Wed, 05 Jun 2019 14:20:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/1627501</guid>
    </item>
    <item>
      <title>National Academies Study on the Application of Social and Behavioral Science within the Weather Enterprise</title>
      <link>https://trid.trb.org/View/1521563</link>
      <description><![CDATA[Co-sponsor this study led by the National Academies under the Board on Atmospheric Sciences and Climate ties to the R&D Strategic Initiative on optimal messaging for non-recurrent events.]]></description>
      <pubDate>Tue, 03 Jul 2018 09:40:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/1521563</guid>
    </item>
    <item>
      <title>OpenStreetMap in GIScience: Experiences, Research and Applications</title>
      <link>https://trid.trb.org/View/1467338</link>
      <description><![CDATA[This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap (OSM), the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, geographic information system (GIS), social science, and cartography. This book contains five sections discussing issues on: Data Management and Quality; Social Context; Network Modeling and Routing; Land Management and Urban Form; and Outlook.]]></description>
      <pubDate>Fri, 26 May 2017 11:31:49 GMT</pubDate>
      <guid>https://trid.trb.org/View/1467338</guid>
    </item>
    <item>
      <title>Applying the social and behavioral sciences to policy and practice</title>
      <link>https://trid.trb.org/View/1329015</link>
      <description><![CDATA[Behavioral and social sciences play a critical, but often unrecognized, role in national well-being by illuminating the human and social dimension of issues related to engineering, technology or biology. The National Research Council's recent Establishment of the Social and Behavioral Sciences in Action (SBSIA) presents both emerging areas of research and key contributions made to policy and society by social and behavioral sciences. This article details the role of behavioral and social science research in a number of policy areas, including health care, national security and public safety and safe car travel.]]></description>
      <pubDate>Mon, 27 Apr 2015 09:50:09 GMT</pubDate>
      <guid>https://trid.trb.org/View/1329015</guid>
    </item>
    <item>
      <title>A New Look at Planning and Designing Transportation Systems: A Decision-making Model Based on Cognitive Rationality, Stakeholder Engagement and Quantitative Methods</title>
      <link>https://trid.trb.org/View/1342316</link>
      <description><![CDATA[Transportation systems are complex sociotechnical systems and this dual nature is reflected in the literature dealing with their planning, i.e. defining courses of action from both public and private points of view. On the one hand, the social sciences literature makes it clear that most decisions related to transportation are “wicked”, i.e. they cannot be tackled with traditional engineering approaches since they are poorly defined. On the other, transportation systems have a strong technical component affecting most of such decisions, as they have to (or should) comply with compelling technical and economic requirements. The literature on transport engineering and economics deals with transportation planning mostly as a rational process based on the formulation and comparison of alternative options.  In this paper, the authors propose an approach to planning and designing transportation systems, at least in the more complex cases, meant to bridge the gap between social and technical points of view. The proposed approach is cross-disciplinary, as it integrates notions from cognitive sciences, organization and management sciences with transportation systems analysis. Transportation planning, both under public and private market-oriented viewpoints, is seen as a complex decision-making process where different actors (decision-makers, stakeholders, professionals) interact in different contexts and according to different “models” or approaches.  After a brief discussion of the main elements of most planning processes and of the different decision making models, the paper proposes a decision-making model based on three parallel and intertwined processes: a cognitive rational approach to organizing the decision-making process, a five-level stakeholder engagement process, and a revised role of quantitative analyses and methods drawing on tools from engineering and economics, amongst other disciplines.  The authors also present a real application of the proposed decision-making model to the case study of the Regional Metro System (RMS) project in Campania (southern Italy), where a complex decisional context with different stakeholders and multiple (often contrasting) interests was managed in the integrated framework for over a decade, resulting in the largest and most effective of such projects in Italy.  Finally, the paper proposes new roles and new challenges for quantitative analyses and mathematical tools to support participated decision-making processes, extending their well-established functions for designing and assessing transportation solutions.]]></description>
      <pubDate>Thu, 26 Feb 2015 09:54:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/1342316</guid>
    </item>
    <item>
      <title>UTC/DelDOT Infrastructure Security and Emergency Preparedness</title>
      <link>https://trid.trb.org/View/1285222</link>
      <description><![CDATA[Transportation infrastructure security and emergency preparedness presents an enormous challenge for both the State of Delaware and the major transportation corridors that run through the state. Delaware Department of Transportation and its extensive network of partner organizations have a strong coalition in place to plan, train, and run exercises related to regional evacuation issues. Given the complexity of this task and the many intersecting areas of interest, it is vital that relevant engineering and social sciences be brought to bear on planning processes. The objective of this project is to review the current state of practice for Delaware and the BOSFOLK corridor, review external research and apply insights from state-of-the-art social science and engineering, and develop a plan for integrating research insights into practice. We will formulate a “Workplan for Improving Infrastructure Security and Emergency Preparedness.”]]></description>
      <pubDate>Mon, 27 Jan 2014 11:27:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/1285222</guid>
    </item>
    <item>
      <title>What makes U.S. energy consumers tick?</title>
      <link>https://trid.trb.org/View/1147578</link>
      <description><![CDATA[Using the social sciences to understand energy consumption in the United States can help lead the country to a more efficient, alternative, energy future. This article discusses the patterns of U.S. energy consumers and the ways in which they could be engaged and enticed into more efficient practices and behavioral changes. Specifically, energy efficiency in transportation is addressed, with examples of various incentives and barriers to improvements. It is concluded that intellectual and financial investment in the physical and natural sciences and engineering, with a commitment to the social sciences, will need to be balanced, with properly designed policies, if the U.S. is to achieve the alternative energy future required to suit its current and future needs.]]></description>
      <pubDate>Tue, 28 Aug 2012 08:59:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/1147578</guid>
    </item>
    <item>
      <title>Toward the Future of Travel Behaviour and Demand Modelling</title>
      <link>https://trid.trb.org/View/1139789</link>
      <description><![CDATA[This special issue of Transportation Letters brings together a selection of keynote papers presented at workshops that were conducted during October 2010-August 2011. These workshops had the dual objectives of (a) bringing together communities of social and behavioural science and transport researchers to consider the challenges faced by the travel demand modelling community in a holistic manner, and (b) taking stock of the current array of conceptual and methodological approaches available, anticipating likely future directions of development for the field, and thereby stimulating creative interaction between researchers from a variety of disciplines. The four papers presented in this special issue lead the reader through the process of conceptualisation, development of practical modelling frameworks, empirical model estimations, and data needs, with a distinct eye to the future of travel behaviour and demand modelling. The authors hope that the papers are a source of inspiration to researchers and practitioners alike in moving towards the next generation of model building. It is also hoped that the papers serve to encourage many more productive and visionary workshops like the ones the authors say they have had the privilege to organise.]]></description>
      <pubDate>Thu, 31 May 2012 11:31:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/1139789</guid>
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