Jiezhuoma La

Ms. Jiezhuoma La


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 April 2022 in Research in Transportation Economics
Verified
Journal Article
Closed access
Iryna HeietsIryna Heiets
Iryna Heiets
JLJiezhuoma La
Jiezhuoma La
WZWenhui Zhou
Wenhui Zhou
SXShaoxin Xu
Shaoxin Xu
XWXingyue Wang
Xingyue Wang
YXYuchen Xu
Yuchen Xu

12 June 2023 in Aerospace
Verified
Journal Article
Open access
PDF file
Iryna HeietsIryna Heiets
Iryna Heiets
YKYi-Wei Kuo
Yi-Wei Kuo
JLJiezhuoma La
Jiezhuoma La
RYRichard Chee Kin Yeun
Richard Chee Kin Yeun
Wim J.C. VerhagenWim J.C. Verhagen
Wim J.C. Verhagen
The world has been proactively seeking solutions to control the spread of the COVID-19 virus since 2020. A major defensive action is implementing contactless services into everyday activities to reduce viral spread. Drones can provide contactless services in transporting goods and medical supplies, thus reducing the risk of spreading the virus. This paper aims to investigate the future trends of commercial uses for drones in Australia in the next five years. It will explore the impact of the COVID-19 pandemic on the unmanned aerial vehicles (UAVs) industry and its different applications in Australia over the same timeframe; it also considers whether the use of drones in medical services will increase due to the epidemic. Primary data are gathered and evaluated to consider these issues, supported by a set of secondary data. The research aims to provide a holistic direction for the UAV industry, and in particular, for the Australian drone service providers and regulator to modify their operation strategies.

29 September 2021 in Aviation
Verified
Journal Article
Open access
PDF file
JLJiezhuoma La
Jiezhuoma La
Iryna HeietsIryna Heiets
Iryna Heiets
This study aims to provide insights into the impact levels of digitalization and intelligentization on air transport system (ATS) in Australia, China, the US, and India. Air transport system is one of the most efficient transport systems which contains three elements: air traffic control, airport, and airlines. In modern society, the importance of digitalization and intelligentization in ATS is attached to by publics. In this study, firstly, comparative analysis is used to analyze the different states of digitalization and intelligentization level and air transport system in sample countries. Then, correlation analysis is used to study the correlation of the different impact factors with the ATS in different countries. The third one is regression analysis, it is used to analyze the relationship between ATS and the development of digitalization and intelligentization in four sample countries. At last, forecasting analysis is used to predict the future trend of digitalization and intelligentization’s impact on ATS in the sample countries in the next few years. Then, the most significant impact factors for ATS will be obtained. Also, the future development trends of ATS under digitalization and intelligentization’s impact could be forecasted by using econometric models. Keyword : Air Transport System (ATS), digitalization, intelligentization, econometric models, digital impact, digital technology, safety

27 September 2022
Verified
Book Chapter
Closed access
PDF file
JLJiezhuoma La
Jiezhuoma La
Iryna HeietsIryna Heiets
Iryna Heiets
CBCees Bil
Cees Bil

7 November 2023
Verified
Book Chapter
Open access
PDF file
JLJiezhuoma La
Jiezhuoma La
CBCees Bil
Cees Bil
IHIryna Heiets
Iryna Heiets
KLKen Lau
Ken Lau
To address the major issue of traveller frustration caused by delays or disruptions in their journey, this paper introduces a digital tool designed to assist travellers throughout their entire door-to-door travel experience. This tool monitors progress and warns travellers if a missed connection is anticipated so an alternative route can be chosen. Traveller satisfaction can be enhanced by tools that can provide personalized, up-to-date, and on-demand travel information. Consequently, there is a growing demand for an advanced digital travel model that can optimise travellers' travel according to their own preference and monitors progress along the way. In this study, a multi-modal, door-to-door travel companion is introduced that can be accessed through personal devices like smartphones or tablets. By providing delay warnings and alternative options in advance, the door-to-door travel companion helps travellers achieve seamless door-to-door travel. The functionality of the model was evaluated through real-world case studies conducted as part of this study.