<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>A Holistic Evaluation Framework for Air-Front Smart Cities: Integrating Quality of Life and Quality of Business via Accessibility Modeling</title>
      <link>https://trid.trb.org/View/2655527</link>
      <description><![CDATA[This study introduces a novel concept of air-front smart cities, and an innovative framework integrating Quality of Life (QOL) and Quality of Business (QOB) concepts to evaluate urban policies and scenarios in Air-Front Smart Cities. These accessibility-based evaluation models examine the correlation and interaction between QOL and QOB, with a focus on sustainable urban development and decarbonization goals. By connecting transportation and digital accessibility to essential services and resources, the framework enables holistic assessments of urban ecosystems. Key QOL and QOB component indicators are identified and selected, tailored to startups and post-harvest agriculture, representing diverse economic sectors. The study links transportation planning with urban policy evaluations, focusing on human well-being, economic growth, and decarbonization, applying the framework to real-world cases in Japan (Aichi) and the Philippines (Baguio). The findings demonstrate the utility of the framework in optimizing urban policies to align economic growth, livability, and sustainability in Air-Front Smart Cities.]]></description>
      <pubDate>Mon, 23 Mar 2026 15:20:59 GMT</pubDate>
      <guid>https://trid.trb.org/View/2655527</guid>
    </item>
    <item>
      <title>Impact of Transportation Network Linkages on Foreign Tourist Consumption</title>
      <link>https://trid.trb.org/View/2646006</link>
      <description><![CDATA[In this paper, we have developed a multi-destination tourism consumption model for municipalities in Aichi Prefecture by utilizing the mobile location information of foreign visitors to Japan. We propose a model structure that combines a nationwide model that analyzes data at the prefectural level with an Aichi Prefecture model that analyzes data at the municipal level. We also used the developed model to analyze how tourism consumption in Aichi Prefecture would change if the operation pattern of the Tokaido Shinkansen Line were to be changed at the same time as the Nagoya opening of the Linear Central Shinkansen Line. The analysis revealed that tourism consumption would increase in places such as Toyohashi City, where Toyohashi Station is located, and Gamagori City, which is conveniently accessible from Toyohashi Station, but that it would not increase in places such as Toyota City, which is inconveniently accessible from Mikawa Anjo Station.]]></description>
      <pubDate>Wed, 11 Mar 2026 16:58:59 GMT</pubDate>
      <guid>https://trid.trb.org/View/2646006</guid>
    </item>
    <item>
      <title>Pre-Instruction for Pedestrians Interacting Autonomous Vehicles With eHMI: Effects on Their Psychology and Walking Behavior</title>
      <link>https://trid.trb.org/View/2591237</link>
      <description><![CDATA[External human-machine interface (eHMI) is considered as a new explicit communication method for pedestrian-AV interactions, particularly in encounter scenarios. Pedestrians without prior negotiation experience with eHMI may misinterpret the driving intentions of the AV, leading to confusion and unpredictable behavior. To address this issue, this study suggests providing pre-instruction on eHMI to enhance comprehension. To compare pedestrians’ subjective feelings and walking behavior changes with and without the use of eHMI, as well as before and after receiving pre-instructions, a road crossing experiment using a within-subject design was conducted. In the experiment, the participants were challenged to recognize situations and experienced uncertainty when encountering AVs lacking eHMI, in contrast to manual driving vehicles. After the pre-instruction, participants could understand the driving intention of an AV with eHMI and predict its driving behavior more easily. Furthermore, participants’ subjective feelings and hesitation to make decisions improved to align with the same criteria as encountered with a manual driving vehicle. Additionally, this study found that the information guidance effect of using eHMI made participants’ walking speeds more consistent over multiple trials, as they gain a comprehensive understanding of eHMI principles through the pre-instruction.]]></description>
      <pubDate>Thu, 19 Feb 2026 17:02:31 GMT</pubDate>
      <guid>https://trid.trb.org/View/2591237</guid>
    </item>
    <item>
      <title>Development and Evaluation of an Urban-Scale Traffic Simulation for Reducing the Number of Traffic Accidents</title>
      <link>https://trid.trb.org/View/2489382</link>
      <description><![CDATA[Realizing urban-scale traffic simulations and utilizing the results of traffic analysis provide valuable insights for society. This study focused on cities in Aichi Prefecture, which has relatively high rates of traffic accident fatalities compared to other prefectures in Japan and aimed to achieve an urban-scale vehicle traffic simulation for traffic analysis. The authors used Simulation of Urban MObility (SUMO) as the simulator and got appropriate results for the entire area of Aichi Prefecture. This paper also details the simulation results and discusses how these results can be applied to analyze and reduce the number of traffic accidents.]]></description>
      <pubDate>Tue, 28 Jan 2025 14:52:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/2489382</guid>
    </item>
    <item>
      <title>Cluster Detection for Traffic Accidents on Spatiotemporal Networks</title>
      <link>https://trid.trb.org/View/2489224</link>
      <description><![CDATA[Traffic safety measures are essential for addressing traffic accident clusters, which denote specific locations and times at which traffic accidents are prone. This study introduces a novel approach for identifying these clusters through hypothesis testing of the spatiotemporal network of previous traffic accidents. The experimental results across various regions in Aichi Prefecture are more accurate than those of a previous method for detecting these clusters.]]></description>
      <pubDate>Tue, 28 Jan 2025 14:52:40 GMT</pubDate>
      <guid>https://trid.trb.org/View/2489224</guid>
    </item>
    <item>
      <title>Optimal Deployment of Electric Vehicles’ Fast-Charging Stations</title>
      <link>https://trid.trb.org/View/2161032</link>
      <description><![CDATA[As climate change has become a pressing concern, promoting electric vehicles’ (EVs) usage has emerged as a popular response to the pollution caused by fossil-fuel automobiles. Locating charging stations in areas with an expanding charging infrastructure is crucial to the accessibility and future success of EVs. Nonetheless, suitable planning and deployment for EV fast-charging stations is one of the most critical determinants for large-scale EV adoption. Installing charging stations in existing fuel/gas stations in the city may be an effective way to persuade people to adopt EVs. In this paper, we aim to optimally locate a fast-charging station in an existing gas station in the real-world scenario of Aichi Prefecture, Japan. The purpose is to locate and size fast-charging stations in such ways that drivers can get access to these charging facilities within a rational driving range while considering real-world constraints. Furthermore, we include the investment cost and the EVs users' convenience cost. This problem is formulated by five integer linear programming using a weighted set covering models. The developed model determines where to locate charging stations as well as how many chargers should be installed in each charging station. The experimental results demonstrate that an appropriate location scheme can be obtained using the model M₅. A computational experiment identifies the best infrastructure solutions for policymakers to consider in the context of growing environmental policies.]]></description>
      <pubDate>Tue, 23 May 2023 10:09:11 GMT</pubDate>
      <guid>https://trid.trb.org/View/2161032</guid>
    </item>
    <item>
      <title>A Study on Enforcement Effect of Urban Facility Location Plan in City with Railway Network</title>
      <link>https://trid.trb.org/View/2050093</link>
      <description><![CDATA[This study clarifies an enforcement effect of Urban Facility Location Plan (UFLP) from case study of Toyohashi and Toyokawa, both of which have enough railway network and original housing subsidy. Comparing with before enforcement and after, there is less change in designated inducing areas of UFLP but the authors can confirm clear increase of housing building trend within 600m in radius of railway stations. Regarding of housing subsidy in specific area by both cities, the authors can make sure of future potentiality but now users don’t estimate enough subsidy for housing location decision. Especially how to convey the subsidy information is relevant problem.]]></description>
      <pubDate>Wed, 16 Nov 2022 11:36:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2050093</guid>
    </item>
    <item>
      <title>On the potential of carsharing to attract regular trips of private car and public transport users in metropolitan areas</title>
      <link>https://trid.trb.org/View/2004898</link>
      <description><![CDATA[To discourage private car ownership and to solve the first/last mile problems when using public transport (PT), carsharing has been introduced in many cities across the world in recent years. One-way carsharing schemes are expected to improve convenience for users and promote the usage of PT by supplementing it. Previous literature has indicated that carsharing has the effect of reducing vehicle distances throughout the area and of converting some traffic to other modes. The effects have been, however, in many cases smaller than expected or at least hoped for. Carsharing is mostly used only for the occasional, irregular trip. This study contributes to the literature by developing a combined revealed preferences (RP) and stated preferences (SP) survey in which the authors' focus is on whether carsharing might be chosen on a regular basis. The survey is conducted among 852 respondents from Aichi prefecture, Japan, where a carsharing scheme is existing. The authors control for previous carsharing experience and model explicitly the scenario that carsharing is used in combination with PT. The authors quantify with integrated choice and latent variable models (ICLV) the importance of the perceived inconvenience of the transport situation, the time and cost of taking PT and costs associated with driving one’s private cars and the importance of having a carsharing experience. The authors also show that car drivers willing to give up their own car might be inclined to use carsharing as access to or egress from PT. Sensitivity analyses with respect to carsharing prices and vehicle availability indicate the overall limited market potential of carsharing in Japanese metropolitan areas unless drastic changes to the current transport systems occur.]]></description>
      <pubDate>Fri, 23 Sep 2022 13:12:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2004898</guid>
    </item>
    <item>
      <title>Willingness to pay for clean air: Evidence from diesel vehicle registration restrictions in Japan</title>
      <link>https://trid.trb.org/View/1772157</link>
      <description><![CDATA[This paper documents the effect of diesel vehicle registration restrictions introduced in Japan in 2001 in reducing suspended particulate matter (SPM) concentrations. The focus is on Aichi and Mie prefectures, home to a number of municipalities that were required to implement these restrictions in 2001. The paper then uses this intervention to estimate the causal effect of air pollution on land values. The authors obtain estimates of the elasticity of residential land prices with respect to SPM concentration of between –0.4 and –1.0. The revealed willingness to pay for the improvements in air quality induced by the intervention in Aichi and Mie is estimated at about US$7 billion. The authors also find evidence that net in-migration appears to be a key mechanism via which clean air was capitalized into higher land values. The results are robust to a number of estimation approaches and sample restrictions.]]></description>
      <pubDate>Wed, 21 Apr 2021 16:16:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/1772157</guid>
    </item>
    <item>
      <title>How to Link Corporate Social Responsibility and Creating Shared Values With Traffic Safety</title>
      <link>https://trid.trb.org/View/1762982</link>
      <description><![CDATA[The aim of the present study was to explore the effects of the corporate social responsibility (CSR) in combination with the creating shared values (CSV) on the traffic conditions with a focus on improving the traffic safety and the elderly mobility in Aichi Prefecture of Japan. A questionnaire survey targeting 300 companies was conducted during October and November 2018. The industries and companies were classified based on the number of employees and company scale. The aggregation analysis was performed on the collected data in order to get ideas that could be useful for devising traffic safety countermeasures. The current study summarizes a handful of effective traffic safety countermeasures that can result in the accident reduction in Aichi and ultimately in Japan. The considerable effective countermeasures include providing safety education and information to the employees, providing information on effects of the Advanced Driver Assistance System (ADAS) vehicle, supplying subsidies for changing to the ADAS vehicles and promoting the CSR and the CSV. All countermeasures are expected to be realized in Aichi so as to reduce the traffic accidents by 2030.]]></description>
      <pubDate>Wed, 03 Feb 2021 15:00:45 GMT</pubDate>
      <guid>https://trid.trb.org/View/1762982</guid>
    </item>
    <item>
      <title>Analysis on Characteristics of Dangerous Driving Events via Recorded Data of Drive-Recorder</title>
      <link>https://trid.trb.org/View/1739835</link>
      <description><![CDATA[In this research, from the viewpoint of improving traffic safety policies and measures, the authors focus on clarifying the characteristics of dangerous driving events (stop sign violation, traffic light violation, pedestrian disturbance, excessive speed, etc.) which are thought to be closely related to traffic accidents. Many previous studies on traffic safety have been mainly focused on detecting dangerous road sections which are prone to accidents by using probe data or car accident data to improve road structure. However, according to recent statistics, more fatal traffic accidents have been mainly caused by human factors such as dangerous driving and traffic violations than structural failure or other technical issues of vehicles. Thus, the authors focus on dangerous driving events or behaviors which can lead to fatal accidents and analyze their occurrence characteristics and correlation with driver attributes. The authors collected video data and global positioning system (GPS) data of drive recorders of 178 residents in Aichi Prefecture to analyze the spatio-temporal characteristics of various types of dangerous driving events and their correlation with driver attributes. In conclusion, the authors show that the dangerous driving events are correlated with not only driver attributes such as age and gender but also surrounding environments and the driving hours, which are closely related to driver’s psychological state. The results of this research can be expected to contribute to effective driving safety enlightenment campaigns for reducing traffic accidents. The authors also investigate the relationship between cognitive impairment and dangerous driving of elderly drivers to bring new findings to future traffic safety policies.]]></description>
      <pubDate>Wed, 30 Sep 2020 16:40:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/1739835</guid>
    </item>
    <item>
      <title>Experimental Study on the Effectiveness of Bicycle Use for Tsunami Evacuation - Case Study of Horikiri District in Tahara City-</title>
      <link>https://trid.trb.org/View/1509718</link>
      <description><![CDATA[The massive tsunami generated by East Japan great earthquake disaster brought serious damage in the Pacific coastal area of the Tohoku district. As the results, is becomes clear that evacuation using car is not always safer evacuation method against tsunami. Horikiri district of Tahara city in Aichi prefecture was focused on in this study. Because it was estimated that a tsunami with 1 meter height will attack this district within 12 minutes after the occurrence of Nankai trough earthquake and the residents in this district are needed to execute quick evacuation. The evacuation simulation was executed to evaluate several scenarios of evacuation condition where the share of the evacuation method was altered. As a result of this study, it becomes clear that the excessive car evacuees make the evacuation in this district less safe and that the increase of bicycle evacuees makes it safer.]]></description>
      <pubDate>Fri, 20 Jul 2018 09:12:50 GMT</pubDate>
      <guid>https://trid.trb.org/View/1509718</guid>
    </item>
    <item>
      <title>Impact of road gradient on energy consumption of electric vehicles</title>
      <link>https://trid.trb.org/View/1473781</link>
      <description><![CDATA[The authors investigate the impact of road gradient on the electricity consumption of electric vehicles (EVs) by combining long-term global positioning system (GPS) tracking data with digital elevation map (DEM) data for roads in Aichi prefecture, Japan. Eight regression models are constructed and analysed to compare the differences between linear and logarithmic forms of trip energy consumption, differences between considering the road gradient or not, and differences between considering the fixed effects of EVs or not. By categorizing gradients and assigning a percentage of the trip distance to each category, a significantly better model of electricity consumption can be achieved. The results of this study are a novel contribution toward understanding the challenges and benefits associated with downgrade braking on energy regeneration.]]></description>
      <pubDate>Mon, 31 Jul 2017 16:32:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/1473781</guid>
    </item>
    <item>
      <title>A comparative study of automotive trip characteristics between older drivers and others among densely inhabited district and other areas</title>
      <link>https://trid.trb.org/View/1421390</link>
      <description><![CDATA[This paper examines older driver’s automotive trip (abbreviation: trip) characteristics which include trip frequency, trip length, destination distribution, and non-home-based (NHB) trips. A two-month experiment of 108 participants was carried out to collect GPS tracking data in Aichi Prefecture, Japan. To identify the effect of living area, a comparative analysis between older drivers and others is conducted in densely inhabited district (DID, i.e., urban) and other areas (non-DID, i.e., suburban, rural, etc), separately. The present study found that there was no significant difference between the trip characteristics of older drivers and others who were living in DID. Thus, we suggest that the education of safety driving and the recommendation of public transportation should be given to DID-living older drivers. However, the results of non-DID reflected that older drivers’ trip frequency, trip length, destination, and NHB trips rate were shorter and lower than others’. This implies that electric vehicles may be suitable for promotion among older drivers in suburban and rural area. Furthermore, the regression analysis confirmed that “older driver” was a significant independent variable on trip frequency, trip length, and NHB trips, and there were interaction effects between “older driver” and “living areas” on all trip characteristics.]]></description>
      <pubDate>Wed, 21 Sep 2016 14:41:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/1421390</guid>
    </item>
    <item>
      <title>A Factor Analysis of Traffic Accident Frequency by Type on Major Road Sections in Japan</title>
      <link>https://trid.trb.org/View/1421345</link>
      <description><![CDATA[This study aims to identify influencing factors of traffic accidents on Japanese major roads through factor analysis and regression analysis for each accident type, considering their characteristics as rare events. The database consists of a five-year accident record and relevant road traffic condition data on major road sections in Aichi Prefecture, which includes the third largest conurbation area of Japan. From the results of the factor analysis, a trend of high accident rates in broad urban arterials is confirmed, and rear-end or side collisions are widely distributed in suburban areas. From the regression analysis, results reveal that the degree of impact by traffic volume is dependent on accident type, and suggests that several factors related to visibility have an influence on turning and side collisions. The study suggests that improving the quality of traffic flow on major roads by ensuring proper intersection spacing is important for establishing a safer road network.]]></description>
      <pubDate>Wed, 21 Sep 2016 14:41:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/1421345</guid>
    </item>
  </channel>
</rss>