Elnaz Irannezhad

Elnaz Irannezhad
UNSW Sydney | UNSW

Doctor of Engineering
I have a vacant PhD position in Transport Engineering. Please email your CV, English certificate & academic transcripts

About

32
Publications
14,503
Reads
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292
Citations
Citations since 2017
23 Research Items
288 Citations
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2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
Introduction
Additional affiliations
August 2020 - February 2022
Australian Road Research Board (ARRB)
Position
  • Portfolio Leader and Principal Engineer
April 2017 - April 2020
The University of Queensland
Position
  • PostDoc Position
April 2017 - April 2020
The University of Queensland
Position
  • PostDoc Position
Education
April 2014 - August 2017
The University of Queensland
Field of study
  • Transportation Engineering

Publications

Publications (32)
Article
Full-text available
This study presents a joint discrete-discrete copula-based model that simultaneously estimates the determinants of the choice to use a container terminal and of the choice of dwell time. Moreover, this study proposes the treatment of missing information as a latent variable by specifying a hybrid version of the joint copula-based model. Model estim...
Article
Full-text available
Port logistics is characterised by a high degree of fragmentation, uncertainty and complexity. In a context with these characteristics, decision support can be of significant value. This study presents the prototype of an intelligent decision support system (DSS) that leads to horizontal and vertical cooperation among freight agents involved in por...
Article
Full-text available
This paper presents the value proposition of blockchain for Port Community Systems (PCS) by dissecting the business processes in port logistics and unfolding functionalities of blockchain in lowering the transaction cost. This paper contributes to the research by a detailed technical assessment of the plethora of currently available blockchain plat...
Article
While ride-hailing has become ubiquitous in most metropolitan areas, it is still unclear how it prevails in the regional areas, especially after the emergence of new services of pooling or self-driving rides. This paper contributes to this knowledge gap by examining the regional/metropolitan dimension in the factors influencing the frequency of rid...
Article
When residential rooftop solar photovoltaic (PV) systems are widely accepted across society, the uptake of home battery energy storage systems is closely tied to the PV-status quo and the behaviour previously taken by households. This study proposes that a decision of acceptance or rejection of PV systems is the past behaviour of the battery adopti...
Article
Previous studies show that in a mature solar photovoltaic (PV) market, the choice to accept or reject PV is closely related to battery adoption decision. This study presents the results of a survey (n = 604) conducted to investigate the household characteristics and relative importance of motivations and barriers in home battery and PV adoption dec...
Article
Despite evidence of sub-standard working conditions and low rates of pay, drivers working on the Uber platform report varying levels of job-satisfaction. In order to better understand driver experience most research conducted to date differentiates driver experience by driver investment (time) on the platform. While this approach offers insight int...
Article
This paper proposes a multi-layer integrated IoT-blockchain conceptual architecture to solve the issues of the traditional bill of ladings, namely double-spending, duplicated documents, masqueraded information, and fraud and hacking threads related to the complexity of traditional format and fragmented supply chain activities. We formulate the task...
Article
Full-text available
Purpose Blockchain is a disruptive technology enabling distributed, encrypted, smart and secure peer-to-peer transactions. The fragmented nature of the tourism industry with a high number of contracts and transactions between several parties has security issues, disputes and delay. Although these motivate the use of blockchain, scholars have barely...
Preprint
This study investigates the socio-demographic characteristics that individual cryptocurrency investors exhibit and the factors which go into their investment decisions in different Initial Coin Offerings. A web based revealed preference survey was conducted among Australian and Chinese blockchain and cryptocurrency followers, and a Multinomial Logi...
Article
Highlights • The significant factors of the choice of investment in cryptocurrency include age, gender, education, occupation, and previous investment experience. • Chinese and Australian investors rank the ICO attributes differently. • The deterrence factors, and investment strategies vary between Chinese and Australians. Abstract This study inves...
Article
Full-text available
The fragmented market of freight transportation imposes several inefficiency costs as a result of delay, double-spending, disputes, and cancellations. While in such competitive market, every player seeks its own profit, optimisation at individual level also becomes harder due to invisibility and disconnectivity. Although tackling some of these issu...
Article
Full-text available
This study explores the effect of cooperation among shipping lines on transport costs and pollutant emissions. The quantitative benefits of the cooperation were measured via a simulation-based model that (i) optimized inland empty container reuse and (ii) considered a two-dimensional capacity (weight and size) for vehicle types and demands. Inland...
Chapter
Full-text available
This chapter examines the choice of using distribution centers (DCs) in the container import chain, either as an intermediate stop or as a location for unpacking, as opposed to direct haul delivery. The shipments that are stored in distribution centers have smaller sizes with longer distances, whereas shipments with heavier weight or those that arr...
Article
Full-text available
We present an agent-based method which makes use of reinforcement learning in order to estimate the efficiency of a Port Community System. We have evaluated the method using two weeks of observations of import containers at the Port of Brisbane as a case study. Three scenarios are examined. The first scenario evaluates the observed container delive...
Conference Paper
Full-text available
Improving the competitiveness of local businesses and their products within worldwide markets is a vital element for the long-term economic growth of a region. This paper presents a summary of ongoing research needs and outcomes formulated from a partnership between the University of Queensland and the Port of Brisbane Pty Ltd (PBPL), in order to f...
Conference Paper
Full-text available
Distribution centers are considered a sustainable way to decrease the impacts of heavy vehicle movements in urban areas. These transshipment points, which are used either for consolidation, deconsolidation, or cross-docking between different modes or vehicles, help to achieve an effective logistics operation. Therefore, the choice of freight actors...
Conference Paper
Full-text available
A major issue in freight modelling is the interrelation between logistics choices that can be seen as a learning process that shippers or carriers undertake to optimize their logistics process, with the aim of minimising their cost and/or maximising their level of service. This study looks at the interrelated decisions of vehicle type choice and sh...
Article
Full-text available
A major issue in freight modeling is the interrelationship between logistics choices that can be seen as a learning process that shippers or carriers undertake to optimize their logistics process, with the aim of minimizing their cost, maximizing their level of service, or both. This study looked at the interrelated decisions of vehicle type choice...
Conference Paper
Full-text available
The importance of freight systems to the economy, environment and modern life necessitates study and research in this field. This paper presents a model which gains insight into behavioural underpinnings that affect decision making in the freight sectors and to evaluate how various policies and strategies ultimately affect the transport logistics c...
Article
A utility-based travel impedance measure is developed for public transit modes that is capable of capturing the passengers' behaviour and their subjective perceptions of impedance when travelling in the transit networks. The proposed measure is time-dependent and it estimates the realisation of the travel impedance by the community of passengers fo...
Conference Paper
Full-text available
The transfer rate is considered a metric for the evaluation of the efficiency of current or proposed transit networks. Assessing transfers is very important in the redesign process, in which it is necessary to have a simple method to calculate the transfer rate in the modelling process. With this transfer information, an unreasonably high transfer...
Article
Full-text available
A logit discrete choice model is developed to investigate the choice of transit access stop (i.e., departure stop). The model incorporates different components of the transit service between given origin–destination pairs at given times. A choice set generation algorithm is developed to create the set of access stop choices and calculate the time-d...
Conference Paper
Full-text available
Worldwide statistics indicated that around 4.5 million people die every year due to air pollution. This issue caused by traffic and industrial factories. It is obvious that to reduce air pollution, a comprehensive plan is needed. One of the most important steps to achieve good results is trip demand management which is dealt in this study. For...
Article
Full-text available
one of the differences of freight modeling to passenger modeling is its complex pattern in supply chain process. Probability of tour is a function of network and impedances among destinations and fleet constraints. It is obvious that in network with passage restrictions (in residential streets and collectors) for heavy vehicles, the number of desti...

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Projects

Projects (4)
Project
These are the cross-disciplinary projects and collaborations with researchers/students in other fields, where I contribute to the methods (e.g. blockchain, discrete choice modelling or optimisation algorithms).
Archived project
accessibility measures of public transportation in South East Queensland
Project
Optimisation of port logistics processes - Modelling the Port Decision Support Systems (so-called Port Community Systems) Behavioural freight transport modelling