Journal of Infrastructure Systems

Scope & Guideline

Transforming Infrastructure Through Cutting-Edge Scholarship

Introduction

Welcome to your portal for understanding Journal of Infrastructure Systems, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1076-0342
PublisherASCE-AMER SOC CIVIL ENGINEERS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1995 to 2024
AbbreviationJ INFRASTRUCT SYST / J. Infrastruct. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1801 ALEXANDER BELL DR, RESTON, VA 20191-4400

Aims and Scopes

The Journal of Infrastructure Systems focuses on advancing knowledge and practices related to the management, design, and resilience of infrastructure systems. It covers a diverse range of topics that intersect engineering, economics, sustainability, and technology.
  1. Infrastructure Resilience and Risk Management:
    Research on strategies and methodologies to enhance the resilience of infrastructure systems against natural disasters, climate change, and other stressors.
  2. Innovative Technologies in Infrastructure:
    Exploration of cutting-edge technologies such as machine learning, AI, and IoT in monitoring, managing, and optimizing infrastructure performance.
  3. Public-Private Partnerships (PPP) and Economics:
    Analysis of PPP models, economic implications, and performance assessments of infrastructure projects, focusing on value for money and sustainability.
  4. Environmental and Social Impacts of Infrastructure:
    Studies examining the environmental sustainability and social equity implications of infrastructure development and management.
  5. Data-Driven Decision Making:
    Utilization of data analytics, simulation models, and decision support systems for effective infrastructure management and policy-making.
Recent publications in the Journal of Infrastructure Systems indicate a shift towards innovative methodologies and pressing contemporary issues facing infrastructure systems.
  1. Integration of AI and Machine Learning:
    An emerging focus on using artificial intelligence and machine learning techniques to improve infrastructure monitoring, predictive maintenance, and performance optimization.
  2. Climate Change Adaptation Strategies:
    Increasing attention on developing adaptive infrastructure solutions that enhance resilience against climate change impacts, particularly in vulnerable regions.
  3. Community Engagement and Social Equity:
    Growing emphasis on the role of community engagement in infrastructure decision-making processes and the pursuit of equitable outcomes in infrastructure planning.
  4. Digital Twin Technologies:
    A rising trend in utilizing digital twin technologies for real-time monitoring and management of infrastructure systems, allowing for better predictive analytics and maintenance.
  5. Interdisciplinary Approaches to Infrastructure Challenges:
    A trend towards interdisciplinary research that combines engineering, economics, social sciences, and environmental studies to address complex infrastructure issues.

Declining or Waning

While the journal has seen a robust focus on various themes, certain areas appear to be declining in prominence, reflecting shifts in research interests and emerging challenges.
  1. Traditional Infrastructure Asset Management:
    Older methodologies and frameworks for asset management are being overshadowed by more innovative, data-driven, and integrated approaches.
  2. Conventional Construction Practices:
    Research focused solely on traditional construction methods is decreasing as there is a growing emphasis on sustainability, smart technologies, and resilience.
  3. Static Risk Assessments:
    Static models for risk assessment are declining in favor of dynamic, probabilistic approaches that better account for uncertainties and evolving conditions.
  4. Single-Factor Analysis in Infrastructure Studies:
    Research that considers only one aspect of infrastructure systems is waning as interdisciplinary approaches that consider multiple factors become more prevalent.

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