IATSS Research

Scope & Guideline

Advancing knowledge at the crossroads of engineering and urban safety.

Introduction

Welcome to the IATSS Research information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of IATSS Research, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0386-1112
PublisherELSEVIER SCI LTD
Support Open AccessYes
CountryNetherlands
TypeJournal
Convergefrom 2008 to 2024
AbbreviationIATSS RES / IATSS Res.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address125 London Wall, London EC2Y 5AS, ENGLAND

Aims and Scopes

IATSS Research focuses on advancing knowledge and practices related to transportation safety, traffic management, and mobility. The journal aims to disseminate research that addresses contemporary issues in transportation, particularly concerning safety, behavior, and the integration of technology in urban environments.
  1. Traffic Safety and Accident Prevention:
    The journal emphasizes research that explores various factors affecting traffic safety, including driver behavior, environmental influences, and infrastructural elements. Studies often utilize statistical models and machine learning techniques to analyze accident data and propose safety measures.
  2. Transportation Behavior and Psychology:
    Research investigating the psychological aspects of transportation, such as driver behavior, pedestrian interactions, and user acceptance of new technologies (e.g., autonomous vehicles), is a core focus. This includes understanding attitudes, perceptions, and behavioral changes in response to different transportation policies.
  3. Urban Mobility and Infrastructure Development:
    IATSS Research addresses urban transportation systems, focusing on the interplay between public transport, pedestrian facilities, and cycling infrastructure. Papers often explore strategies for enhancing urban mobility and sustainability, particularly in developing countries.
  4. Technological Integration in Transportation:
    The journal covers studies on the application of advanced technologies in transportation, including automated systems, machine learning for traffic analysis, and innovative transport solutions that aim to improve safety and efficiency in road usage.
  5. International Perspectives on Traffic Issues:
    With papers spanning various geographic contexts, IATSS Research provides insights into transportation challenges and solutions globally, particularly in low- and middle-income countries. This includes comparative studies that highlight different cultural and infrastructural influences on traffic safety.
IATSS Research is currently witnessing a surge in interest in several emerging themes that reflect contemporary challenges in transportation safety and mobility. These trends indicate a responsiveness to global issues, technological advancements, and societal changes.
  1. Impact of COVID-19 on Transportation:
    Research examining the effects of the COVID-19 pandemic on travel behavior, traffic patterns, and safety has gained significant traction. This theme explores how the pandemic has altered commuting, public transport usage, and overall road safety.
  2. Integration of Machine Learning and Data Analytics:
    There is an increasing trend towards the application of machine learning and advanced data analytics in transportation research. Studies are leveraging these technologies to improve predictive models of traffic safety and analyze complex datasets for better insights.
  3. Sustainability and Carbon Neutrality in Transportation:
    With a growing emphasis on environmental concerns, research focusing on sustainability practices within the transportation sector, including carbon neutrality and the role of electric vehicles, is on the rise. This reflects a broader societal move towards sustainable practices.
  4. Child and Vulnerable Road User Safety:
    Research dedicated to the safety of children and vulnerable road users, such as pedestrians and cyclists, is becoming more prominent. This includes studies on specific safety measures and behavioral interventions aimed at protecting these groups.
  5. Behavioral Insights into Autonomous Vehicle Acceptance:
    As autonomous vehicles become more prevalent, studies exploring public perceptions and acceptance of these technologies are emerging as a key area of interest. Research is increasingly focused on understanding the factors that influence user acceptance and the implications for traffic safety.

Declining or Waning

While IATSS Research continues to explore a broad range of transportation topics, certain themes have become less prominent over recent years. This decline may reflect shifts in research priorities or the maturation of certain areas of study.
  1. Traditional Traffic Engineering Solutions:
    Research focusing solely on conventional traffic engineering methods, such as basic signal timing and road design without integrating modern technologies or behavioral insights, has seen a decline. There is a noticeable shift towards more interdisciplinary approaches that encompass safety, behavior, and technology.
  2. Generalized Studies on Traffic Culture:
    Broad analyses of traffic culture without specific contextual applications or detailed data have become less common. The journal appears to favor studies with concrete applications and methodologies that directly address safety and behavioral outcomes.
  3. Static Models of Traffic Behavior:
    There has been a waning interest in static models that do not account for dynamic factors influencing traffic behavior. Recent trends indicate a preference for more complex, adaptive models that utilize real-time data and machine learning techniques to assess and predict traffic patterns.

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