Call for Papers for the: Special Issue of Transportation Research Part E: Logistics and Transportation Review Editorial Board - On Data Science and Analytics in Aviation

Call for Papers for the:

Special Issue of Transportation Research Part E: Logistics and Transportation Review Editorial Board

On Data Science and Analytics in Aviation

Guest Editors:

Sai-Ho Chung, Tsan-Ming Choi, Mark Hansen, Hoi-Lam Ma

Data science and analytics are attracting more and more attention by researchers and practitioners in recent years. Its development and applications are also growing rapidly. This is also true in aviation industries. Because of the rapid development of advanced Information and Communication Technology nowadays, a massive amount of real time data regarding flight information, flight performance, airport conditions, air traffic conditions, weather, ticket prices, passengers comments, crew comments, etc. are all available in different flight performance monitoring websites, airlines, airports, and social medias. These become valuable assets and opportunities for a new page of aviation research studies.

Study of data science and analytics in aviation is a newly emerging area. Data science and analytics inspire a lot of novel ideas, knowledge, theories, techniques, and applications in tremendous aviation areas such as for risk management and control, risk analytics, disruption management, crew management, planning and scheduling, flight scheduling, flight delay analytic and prediction, weather analytic and prediction, fuel consumption analysis, airport management, air traffic control, customer behavior and preference analysis, revenue management, and more. These drive the further development of different mathematical models, stochastic modeling, optimization methodologies, machine learning, data mining, pattern recognition, big data visualization, etc. to satisfy the needs of these huge aviation industries in this big data era.

This special issue focusses on contemporary research related to data science and analytics in aviation. Particularly, those papers that pinpoint new theories and contain breakthroughs on solving the aviation problems are of considerable interest.

Topics of interests include, but are not limited to, the following:

1. Data Science driven Risk Analytics

- Data Analytics based Risk Management for Fleet and Flight Management

- Data Analytics based Risk Management for Airline Crew Management

- Disruption Risk Management and Control

- Applying Data Science for Proactive Disruption Planning

- Airline Operation Disruption Resilience

2. Development of Policy and Strategy based on Data Analytics

- Data Analytics based Flight Performance Measurement

- Applying Big Data for Ticketing Strategy

- Applying Big Data for Air Cargo Pricing Policy

- Airline Crew Preference Data Analytics

- Customer Behavior Data Analytics

3. Prediction with Big Data

- Flight Delay Prediction with Big Data

- Prediction of Air Cargo and Passenger demands with Big Data

- Data Analytic based Flight Time Prediction

4. Research on Data Science and Analytic

- Research approaches to Data Science in aviation

- Impact of Data Science in aviation industries

- Data science and analytic based optimization methodologies in aviation

- Aircraft Fuel Consumption Analytic

Important Dates:

First submission: Aug 2018

1st round decision (major revision): Nov 2018

Resubmission: Jan 2019

2nd round decision (minor revision): March 2019

Final acceptance: Apr/May 2019

Submission Method:

For this special issue, authors are encouraged to use Elsevier’s online multimedia tools and submit supplementary materials such as simulation code and data, video, and AudioSlides along with their manuscripts. For guidelines to prepare your manuscript and for manuscript submission, please visit https://ees.elsevier.com/tre

When submitting your manuscript, please choose “VSI: Data Analytics–Aviation” for “Article Type”. This is to ensure that your submission will be considered for this special issue instead of being handled as a regular paper. All submissions will be processed upon receipt and go through the journal’s standard peer-review process.

For any Inquiries; Please contact the guest editors

- Mark Hansen : mhansen@ce.berkeley.edu

- Sai-Ho Chung : nick.sh.chung@polyu.edu.hk

- Tsan-Ming Choi: jason.choi@polyu.edu.hk

- Hoi-Lam Ma: helenma@hsmc.edu.hk

征文单位：

Transportation Research Part E：物流和运输审查编委会（Logistics and Transportation Review Editorial Board）

关于航空领域的数据科学和分析

特约编辑：

Sai-Ho Chung, Tsan-Ming Choi, Mark Hansen, Hoi-Lam Ma

数据科学和分析近年来越来越受到研究人员和从业人员的关注，其发展和应用也在迅速增长。在航空业也是如此。由于当今先进的信息和通信技术的快速发展，关于航班信息、飞行性能、机场状况、空中交通状况、天气、机票价格、乘客评论、机组评论等的大量实时数据都可用在不同的飞行绩效监测网站、航空公司、机场和社交媒体。这些成为了翻开航空研究新的一页的宝贵资产和机会。

航空数据科学和分析研究是一个新兴领域。数据科学和分析在巨大的航空领域启发了许多新颖的想法、知识、理论、技术和应用，例如风险管理和控制、风险分析、中断管理、机组管理、计划和调度、航班计划、航班延误分析和预测、天气分析和预测、燃料消耗分析、机场管理、空中交通管制、客户行为和偏好分析、收入管理等等。这些推动了不同数学模型，随机建模，优化方法，机器学习，数据挖掘，模式识别，大数据可视化等的进一步发展，以满足当前的大数据时代这些庞大的航空业的需求。

本特刊聚焦于航空业当下与数据科学和分析相关的研究。特别地，那些指出新理论并在解决航空问题上取得突破的论文是相当有趣的。

研究话题包括但是不限于以下方面：

1. 数据科学驱动的风险分析

-基于数据分析的风险管理：舰队和飞行管理

-基于数据分析的风险管理：航空公司机组人员管理

-中断风险管理和控制

-应用数据科学进行主动的中断计划

-航空业务中断弹性

2. 基于数据分析的政策和战略的发展

- 基于数据分析的飞行性能测量

- 应用大数据的票务策略

- 应用大数据进行航空货运定价政策

- 航空公司员工偏好数据分析

- 客户行为数据分析

3. 用大数据进行预测

- 用大数据预测航班延误

- 用大数据预测航空货运和乘客需求

- 基于数据分析的飞行时间预测

4. 数据科学与分析研究

- 航空数据科学的研究方法

- 数据科学对航空业的影响

- 航空领域的数据科学和基于分析的优化方法

- 飞机燃料消耗分析

重要的时间点：

第一次提交：2018年8月

第一轮决议（重大修订）：2018年11月

重新提交：2019年1月

第二轮决定（小修改）：2019年3月

最终接收：2019年4月/ 5月

提交方式：

对于这个特殊问题，鼓励作者使用Elsevier的在线多媒体工具，并提交补充材料，例如模拟代码和数据、视频、手稿以及相关音频。关于准备稿件和提交稿件的指导方针，请见官网 https://ees.elsevier.com/tre

在提交您的稿件时，请为“文章类型”选择“VSI：Data Analytics-Aviation”。 这是为了确保您的提交将被视为特刊投稿，而不是作为常规文章处理。所有提交的内容将在收到后进行处理，并通过期刊的标准同行评审流程。

如果有疑问，可以联系特约编辑

- Mark Hansen : mhansen@ce.berkeley.edu

- Sai-Ho Chung : nick.sh.chung@polyu.edu.hk

- Tsan-Ming Choi: jason.choi@polyu.edu.hk

- Hoi-Lam Ma: helenma@hsmc.edu.hk