KSCE Special Issues

Call for Papers – 2022 Special Issue

The KSCE Journal of Civil Engineering invites papers for 2022 Special Issue. Special Issues are designed to provide a platform and opportunity to summarize the state-of-the-art on a specific theme, share new perspectives, and initiate discussion on the latest theoretical research.

1. Future Urban Mobility with MaaS

Editors: Paul Schonfeld, Young-Jae Lee, and Joyoung Lee

Due to technology advancements and diversity of personal mobility needs, Mobility as a Service (MaaS) is currently considered a key element in future urban mobility. MaaS, which includes multiple modes in a single unified personal trip, is a newly developed concept but has quickly become a new trend in urban mobility. In order to advance new technologies and analysis methods for MaaS and to enhance its applicability and benefits, the guest editor team seeks papers on MaaS for a Special Issue of the KSCE Journal of Civil Engineering. We envision that the papers will inform transportation researchers and other professionals about recent ideas, technical advances, applicable analysis methods, and relevant empirical results in this field.  

The content of this Special Issue will focus on smart technology and engineering for future mobility with MaaS. Topics for the Special Issue include, but are not limited to, the following:

  • Advanced technologies including artificial intelligence and machine learning
  • Data driven approaches 
  • Comparisons of concepts and alternatives
  • Demand and travel behavior analysis
  • Simulation and optimization 
  • Effectiveness measures and improvements
  • Policies and regulations
  • Safety and security
  • Economic analysis
  • Privacy issues and cyber security issues 
  • Transportation system integration
  • Practical applications and cases

Contact Details of the Guest Editors:

  • Principal Guest Editor: Paul Schonfeld, University of Maryland, MD, USA (Email: pschon@umd.edu)
  • Guest Editor: Young-Jae Lee, Morgan State University, MD, USA (Email: YoungJae.Lee@morgan.edu)
  • Guest Editor: Joyoung Lee, New Jersey Institute of Technology, NJ, USA (Email: jo.y.lee@njit.edu)

2. Case-based Learning, Prediction, and Prevention of Geohazards

Editors: Jong-Sub Lee, Qing Lü, and Byungmin Kim

Human life and civil infrastructure suffer frequently tremendous damage from geohazards such as earthquakes, landslides and rock falls, ground collapses, and volcanoes. For the recent decades, such geohazards have become more serious and complex in accordance with global warming and climate change. To mitigate and prevent the risk of geohazards requires information of case studies of geohazards. There have been recent advances for monitoring and prediction methods based on rapidly growing technologies such as remote sensing and machine learning. In addition, innovative measures to reduce and prevent geohazard risks have been developed. 

The content of this Special Issue will focus on technologies for monitoring, predicting and mitigating damage from various types of geohazards. Topics included in the Special Issue are the following but are not limited to the following: 

  • Ground failures due to earthquakes 
  • Landslides and rock falls
  • Ground collapses during tunnelling and open-cutting
  • Volcanoes
  • Ground settlements and sinkholes
  • Uncertainty and characterization of subsurface
  • Stability of pavements and railways
  • Geosynthetics and stabilization of soils
  • Remote sensing of geohazards
  • Machine learning techniques for predicting geohazards

Contact Details of the Guest Editors:


Process Description


1. Future Urban Mobility with MaaS

2. Case-based Learning, Prediction, and Prevention of Geohazards

Call for Papers

February 9, 2021 ~ June 6, 2021

March 12, 2021 ~ June 6, 2021

Peer Review of Papers

June 6 ~ September 15, 2021

Information to Authors

(accept, revise, reject)

Submission of Corrected Papers

Final Decision of Accepted Papers

September 15, 2021

Acceptance of Print-Ready Papers

October 1, 2021

Publication of Special Issue

First half year of 2022 (Expected)

Submission Guidelines:

For the detailed guidelines for preparing your research manuscript, please refer to “Instructions for Authors – Manuscript Submission Guidelines” at: https://www.springer.com/journal/12205/submission-guidelines 

Please submit your manuscript via the Journal’s online submission system (please select “Research Paper” for Article Type Selection, then select the Special Issue topic for Additional Information) at: https://www.editorialmanager.com/ksce/default.aspx