https://hdl.handle.net/2123/21291 2026-06-13T15:10:08Z 2026-06-13T15:10:08Z Stanley, John Stanley, Janet https://hdl.handle.net/2123/23928 2025-10-14T04:28:28Z 2020-01-01T00:00:00Z

The humble school bus: An opportunity for improving regional mobility Stanley, John; Stanley, Janet Many regional and rural Australians are at risk of social exclusion and lower wellbeing due to poor accessibility options. The paper uses a Victrorian regional case study to demonstrate how regional/rural transport disadvantage can reduce personal wellbeing, showing the high monetary cost of diminished wellbeing. It argues for a coordinated and shared response to local regional/rural transport, using the example of wider use being made of dedicated school bus services to improve regl mobility choices. Barriers to opening up the school bus to a broader range of passengers are reviewed and expected benefits are identified, supporting wider use.

2020-01-01T00:00:00Z Perera, Supun Kasthurirathna, Dharshana Bell, Michael https://hdl.handle.net/2123/23927 2025-10-14T04:28:29Z 2020-01-01T00:00:00Z

Influence of Supply Chain Network Topology on the Evolution of Firm Strategies Perera, Supun; Kasthurirathna, Dharshana; Bell, Michael This study investigates the influence of the topological structure of a supply chain network (SCN) on the evolution of cooperative and defective strategies adopted by the individual firms. First, a range of topologies representative of SCNs was generated using a fitness-based network growth model, which enabled cross comparisons by parameterising the network topologies with the power law exponent of their respective degree distributions. Then, the inter-firm links in each SCN were considered as repeated strategic interactions and were modelled by the Prisoner’s Dilemma game to represent the self-interested nature of the individual firms. This model is considered an agent-based model, where the agents are bound to their local neighbourhood by the network topology. A novel strategy update rule was then introduced to mimic the behaviour of firms. In particular, the heterogeneously distributed nature of the firm rationality was considered when they update their strategies at the end of each game round. Additionally, the payoff comparison against the neighbours was modelled to be strategy specific as opposed to accumulated payoff comparison analysis adopted in past work. It was found that the SCN topology, the level of rationality of firms and the relative strategy payoff differences are all essential elements in the evolution of cooperation. In summary, a tipping point was found in terms of the power law exponent of the SCN degree distribution, for achieving the highest number of co- operators. When the connection distribution of an SCN is highly unbalanced (such as in hub and spoke topologies) or well balanced (such as in random topologies), more difficult it is to achieve higher levels of co-operation among the firms. It was concluded that the scale-free topologies provide the best balance of hubs firms and lesser connected firms. Therefore, scale-free topologies are capable of achieving the highest proportion of co- operators in the firm population compared to other network topologies.

2020-01-01T00:00:00Z Czerny, Achim Fu, Xiaowen Lei, Zheng Qum, Tae. H. https://hdl.handle.net/2123/23926 2025-10-14T04:28:28Z 2020-01-01T00:00:00Z

Post Pandemic Aviation Market Recovery: Focus on Changes in China Czerny, Achim; Fu, Xiaowen; Lei, Zheng; Qum, Tae. H. China was the first aviation market in the world hit hard by the COVID-19 and has been recovering gradually as the pandemic became largely under control within mainland China. This study reviews the recovery pattern influenced by the Chinese government’s aviation policy choices, in the hope that our discussions and findings will help improve aviation policy responses elsewhere. While the domestic market in mainland China has enjoyed a quick recovery to about 80% of the pre- crisis level by July, 2020, the recovery of international services has been much slower, due to the bilateral route and flight frequency/capacity control and strict requirements for health check and quarantine. China’s domestic aviation market was recovered by about 80% in two months after the pandemic became under good control. Most other countries with a “curve flatting” strategy, instead of full pandemic control, may not expect the fast recovery path China has achieved. A British “travel corridor” approach may be more practical for Western countries to follow, albeit more likely to be subject to serious setbacks and disruptions. The aviation fee reductions and cost support China and many other countries have been using are helpful but not sufficient. Capital injection and/or credit guarantee may be needed for many airlines to survive. Airlines based in open economies that have small domestic markets will face particularly serious challenges during the recovery process.

2020-01-01T00:00:00Z Haghani, Milad Bliemer, Michiel C. J. Farooq, Bilal Kim, Inhi Li, Zhibin Oh, Cheol Shahhoseini, Zahra MacDougall, Hamish https://hdl.handle.net/2123/23510 2025-10-14T04:28:29Z 2020-01-01T00:00:00Z

Applications of brain imaging methods in driving behaviour research Haghani, Milad; Bliemer, Michiel C. J.; Farooq, Bilal; Kim, Inhi; Li, Zhibin; Oh, Cheol; Shahhoseini, Zahra; MacDougall, Hamish Applications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro- cognitive aspects of driver brain. This has been achieved by conducting simulated (and occasionally, field) driving experiments while collecting driver brain signals of certain types. Here, this sector of studies is comprehensively reviewed at both macro and micro scales. Different themes of neuroimaging driving behaviour research are identified and the findings within each theme are synthesised. The surveyed literature has reported on applications of four major brain imaging methods. These include Functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS) and Magnetoencephalography (MEG), with the first two being the most common methods in this domain. While collecting driver fMRI signal has been particularly instrumental in studying neural correlates of intoxicated driving (e.g. alcohol or cannabis) or distracted driving, the EEG method has been predominantly utilised in relation to the efforts aiming at development of automatic fatigue/drowsiness detection systems, a topic to which the literature on neuro-ergonomics of driving particularly has shown a spike of interest within the last few years. The survey also reveals that topics such as driver brain activity in semi- automated settings or the brain activity of drivers with brain injuries or chronic neurological conditions have by contrast been investigated to a very limited extent. Further, potential topics in relation to driving behaviour are identified that could benefit from the adoption of neuroimaging methods in future studies.

2020-01-01T00:00:00Z Ali, Yasir Bliemer, Michiel C.J. Zheng, Zuduo Haque, Md. Mazharul https://hdl.handle.net/2123/23396 2025-10-14T04:28:29Z 2020-01-01T00:00:00Z

Comparing the usefulness of a connected environment during mandatory and discretionary lane-changings Ali, Yasir; Bliemer, Michiel C.J.; Zheng, Zuduo; Haque, Md. Mazharul Lane-changing manoeuvre is one of the risky manoeuvres performed by drivers either to reach the planned destination (i.e., mandatory lane-changing; MLC) or to achieve better driving conditions (i.e., discretionary lane-changing; DLC). Essentially both lane-changing types require the driver to acquire surrounding traffic information for efficient and safe lane- changing decisions. However, this does not discount the fact that both these lane-changings are fundamentally different from each other as the urgency of lane-changing is much higher during MLC compared to DLC. A connected environment promises to assist during the lane-changing decision-making process, but the differential effectiveness (or usefulness) of a connected environment for these two lane-changing types remains unexplored due to the novelty of a connected environment and the consequent scarcity of data. To fill this research gap, this study collected lane-changing data from 78 participants who performed MLC and DLC in the CARRS-Q Advanced Driving Simulator. Participants were asked to drive in three randomised driving conditions: baseline condition (without driving aids), connected environment with perfect communication, and connected environment with communication delay. While surrogate measures of safety are analysed and compared using descriptive statistics, a hybrid framework of data mining and classical statistical modelling is employed to examine the usefulness of the connected environment for two lane-changing types. We find that the crash risk associated with MLC is significantly reduced in the connected environment driving conditions compared to that of DLC. Results also reveal that the probability of engaging in a hard-braking event decreases for both the lane-changing types during the connected environment driving conditions, but a higher decrease in magnitude is found for MLC. Age and gender-related differential impact have been observed where young and male drivers have a higher possibility of engaging in a hard-braking event when driving without driving aids, but the connected environment reduces such risk. This study concludes that the usefulness (or effectiveness) of the connected environment is a function of the urgency of a task, which is evidently higher during MLC, thus providing the maximum advantage during MLC.

2020-01-01T00:00:00Z Stanley, John https://hdl.handle.net/2123/23395 2025-10-14T04:28:28Z 2020-01-01T00:00:00Z

Research priorities in appraisal methodology Stanley, John Appraisal in the transport sector has a history extending back around 60 years, in terms of application at scale, with antecedents going back to at least the French economist and engineer, Jules Dupuit, a century or so earlier. The magnitude of most countries’ transport spending, both public and private, together with the pervasive influence of transport on life opportunities and scale of transport external benefits and costs, provides continuing impetus to the development of the art and science of transport appraisal. Appraisal is typically (not always) government driven. Accordingly, development and refinement of appraisal methodologies is commonly spurred by government expectations about the justification required to support allocation of scarce public funds. This is particularly so in jurisdictions where the national government controls most of the purse strings and distributes largesse to lower levels of government (often a reflection of vertical fiscal imbalance) and/or to other stakeholders (e.g. businesses). The US, UK, Sweden, the Netherlands and Australia, for example, all have long histories in this area, particularly associated with expectations around appraisals to support federal/national government own-project requirements and also around requirements required to support funding flows from the national/federal government for initiatives sponsored by lower levels of government or other stakeholders. In turn, governmental appraisal requirements are often supported by production of appraisal guidelines, which describe government expectations and ways of meeting those expectations. The UK Treasury Greenbook (HM Treasury 2018a) and associated transport webtag materials is a well- respected example. The existence of guidelines, in turn, has helped to stimulate the extensive back-end research evidence base needed by quality appraisal methodologies and to support the practical front-end applications of those methodologies that give credence to the value of both the guidelines and of appraisal as a process.

2020-01-01T00:00:00Z Beck, Matthew J. Hensher, David A. https://hdl.handle.net/2123/22991.2 2025-10-14T04:28:28Z 2020-01-01T00:00:00Z

Insights into the Impact of COVID-19 on Household Travel and Activities in Australia – The Early Days of Easing Restrictions Beck, Matthew J.; Hensher, David A. The COVID-19 disease continues to cause unparalleled disruption to life and the economy world over. This paper is the second in what will be an ongoing series of analyses of a panel travel and activity survey. In this paper we examine data collected over a period of late May to early June in Australia, following four-to-six weeks of relatively flat new cases in COVID-19 after the initial nationwide outbreak, as many state jurisdictions have begun to slowly ease restrictions designed to limit the spread of the SARS- CoV-2 virus. We find that during this period, travel activity has started to slowly return, in particular by private car, and in particular for the purposes of shopping and social or recreational activities. Respondents indicate comfort with the idea of meeting friends or returning to shops, so authorities need to be aware of potential erosion of social distancing an appropriate COVID-safe behaviour in this regard. There is still a concern about using public transport, though it has diminished noticeably since the first wave of data collection. We see that working from home continues to be an important strategy in reducing travel and pressure on constrained transport networks, and a policy measure that if carried over to a post-pandemic world, will be an important step towards a more sustainable transport future. We find that work from home has been a generally positive experience with a significant number of respondents liking to work from home moving forward, with varying degrees of employer support, at a level above those seen before COVID-19. Thus, any investment to capitalise on current levels of work from home should be viewed as an investment in transport.

2020-01-01T00:00:00Z Merkert, Rico Bushell, James https://hdl.handle.net/2123/22957 2020-07-28T02:18:53Z 2020-01-01T00:00:00Z

Revolution or epidemic? A systematic literature review on the effective control of airborne drones Merkert, Rico; Bushell, James Commercial and private deployment of airborne drones is revolutionising many ecosystems. With the aim to identify critical issues and research gaps, our systematic literature review findings suggest that historic issues such as privacy, acceptance and security are increasingly replaced by operational considerations including interaction with and impacts on other airspace users. Recent incidents show that unrestricted drone use can inflict problems on other airspace users like airports and emergency services. Our review of current regulatory approaches shows a need for further policy and management response to both manage rapid and efficient drone usage growth and facilitate innovation (e.g. intraurban package delivery) with one promising response being low altitude airspace management (LAAM) systems for all drone use cases.

2020-01-01T00:00:00Z Buckell, John Hensher, David A. Hess, Stephane https://hdl.handle.net/2123/22859 2025-10-14T04:28:28Z 2020-01-01T00:00:00Z

Smoking choices, nicotine and addiction: A choice modelling approach applied to smokers in the US Buckell, John; Hensher, David A.; Hess, Stephane Use of choice models is growing rapidly in tobacco research. These models are being used to answer key policy questions. However, certain aspects of smokers’ choice behaviour are not well understood. One such feature is addiction. Here, we address this issue by modelling data from a choice experiment on US smokers. We model addiction using a latent variable. We use this latent variable to understand the relationship between choices and addiction, giving attention to nicotine levels. We find that more addicted smokers have stronger preferences for cigarettes and are unwilling to switch to e-cigarettes. Further, addicted smokers value nicotine in tobacco products to a much greater extent than those that are less addicted. Lastly, we forecast short- term responses to lowering nicotine levels in cigarettes. The results suggest that current nicotine-focused policies could be effective at encouraging addicted smokers to less harmful products and lead to substantial public health gains.

2020-01-01T00:00:00Z Balbontin, Camila Mulley, Corinne https://hdl.handle.net/2123/22860 2025-10-14T04:28:29Z 2020-01-01T00:00:00Z

How can we identify the different components affecting residential property values before and after the announcement, construction and operation of transport projects? A case study in Sydney, Australia Balbontin, Camila; Mulley, Corinne New public transport projects are expensive and long lived and their financing often is a challenge. As a result, cities are often concerned to understand the economic impacts induced by these new public transport projects, and in particular whether increases in land value which may have followed the investment can be ‘captured’ as a potential source of finance. However, land value uplift might occur at different stages of a project and might not be only due to the improved accessibility of the project. This study focusses on understanding the complexity of value uplift on residential properties resulting from three public transport projects in Sydney, Australia: two light rail projects and one heavy rail. Multilevel models are presented comparing the affected or ‘catchment’ areas of the projects with what is referred to as a ‘control area’ where the investment has not had an impact. Four different methods are used to define these control areas. The results show that, despite controlling for other attributes, such as property and neighbourhood, and using different methodologies for the control areas, there are still quite different results for the amount of uplift brought about by the different investments. What is however clear from the results is that increases to land value can come from the early stages of the project (i.e., during announcement and construction) when the accessibility improvements have not been realised.

2020-01-01T00:00:00Z Hensher, David A. Ho, Chinh Q. Reck, Daniel J. https://hdl.handle.net/2123/22492.2 2026-06-12T07:53:40Z 2020-07-13T00:00:00Z

Mobility as a Service and private car use: evidence from the Sydney MaaS trial Hensher, David A.; Ho, Chinh Q.; Reck, Daniel J. Australia’s first Mobility as a Service (MaaS) trial commenced in April 2019 in Sydney, running for two years. The objective of the trial is at least twofold – to assess interest in various MaaS subscription plans through bundling public transport, rideshare, car share and car rental with varying financial discounts and monthly subscription fees, in contrast to pay as you go (PAYG); and to assess the extent to which the use of the private car might change following a subscription to a monthly mobility bundle. This paper assesses the second objective by investigating the potential for changes in monthly car use in the presence of a MaaS program. The paper develops a joint discrete-continuous model system to explain the choice between monthly bundles and PAYG, and subsequently, the total monthly car kilometres. Controlling for monthly differences due to other influences such as seasonal travel activity, the findings suggest that the offered bundles do have an encouraging impact on private car use. Within the limits of what was tested under the Sydney MaaS trial, indicative evidence suggests that MaaS has the potential to change travel behaviour in a way aligned with sustainability objectives, although this evidence should not be taken as suggesting that MaaS is a commercially viable mobility strategy.

2020-07-13T00:00:00Z Wong, Yale Z https://hdl.handle.net/2123/22462 2026-06-12T07:53:41Z 2020-06-01T00:00:00Z

Thredbo 16: Continuing the competition and ownership story Wong, Yale Z

2020-06-01T00:00:00Z Ali, Yasir Bliemer, Michiel C. J. Zheng, Zuduo Haque, Md. Mazharul https://hdl.handle.net/2123/22343 2026-06-12T07:53:41Z 2020-05-01T00:00:00Z

Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment Ali, Yasir; Bliemer, Michiel C. J.; Zheng, Zuduo; Haque, Md. Mazharul Lane-changing is one of the complex driving tasks that depends on the number of vehicles, objectives, and lanes. A driver often needs to respond to a lane-changing request of a lane-changer, which is a function of their personality traits and the current driving conditions. A connected environment is expected to assist during the lane-changing decision-making process by increasing situational awareness of surrounding traffic through vehicle-to-vehicle communication and vehicle-to-infrastructure communication. Although lane changing decision making process in a traditional environment (an environment without driving aids) has been frequently investigated, our understanding of drivers’ interactions during the lane-changing decision- making process in a connected environment remains elusive due to the novelty of the connected environment and the scarcity of relevant data. As such, this study examines drivers’ responses to lane-changing requests in a connected environment using the CARRS-Q Advanced Driving Simulator. Seventy-eight participants responded to the lane-changing request of a lane- changer under two randomised driving conditions: baseline (traditional environment without driving aids) and connected environment (with driving aids). A segmentation-based approach is employed to extract drivers’ responses to the lane- changing request and subsequently estimate their response time from trajectory data. Additionally, drivers’ response times are modelled using a random parameter accelerated failure time (AFT) hazard-based duration model. Results reveal that drivers tend to be more cooperative in response to a lane-changing request in the connected environment compared with the baseline condition whereby they tend to accelerate to avoid the lane-changing request. The AFT model suggests that on average drivers’ response times are shorter in the connected environment, implying that drivers respond to the lane-changing request faster in the presence of driving aids. However, at the individual level, connected environment’s impact on drivers’ response times is mixed as drivers’ response times may increase or decrease in the connected environment compared to the baseline condition, for instance, we find that female drivers have lower response times in the connected environment than that of male drivers. Overall, this study finds that drivers in connected environment, on average, take less time to respond and appear to be more cooperative, and thus, are less likely to be engaged in safety-critical events.

2020-05-01T00:00:00Z Beck, Matthew J. Hensher, David A. https://hdl.handle.net/2123/22247 2026-06-12T07:53:44Z 2020-01-01T00:00:00Z

Insights into the Impact of Covid-19 on Household Travel, Working, Activities And Shopping in Australia – the early days under Restrictions Beck, Matthew J.; Hensher, David A. When 2020 began, we had no idea what was to unfold globally as we learnt about the Novel-Coronavirus in Wuhan, in the Hubei province of China. As this virus spread rapidly, it became a matter of time before many countries began to implement measures to try and contain the spread of the disease. Covid-19 as it is referred to, resulted in two main approaches to fighting the viral pandemic, either through a progressive set of measures to slow down the number of identified cases designed to ‘flatten the curve’ over time (anticipated to be at least six months), or to attack it by the severest of measures including a total lock-down and/or herding exposure to fast track ‘immunisation’ while we await a vaccine. The paper reports the findings from the first phase of an ongoing survey designed to identify the changing patterns in travel activity of Australian residents as a result of the stage 2 restrictions imposed by the Australian government. The main restrictions, in addition to social distancing of at least 1.5 metres, are closure of entry to Australia (except residents returning), and closure of non-essential venues such as night clubs, restaurants, mass attendee sporting events, churches, weddings, and all social gatherings in any circumstance. With some employers encouraging working from home and others requiring it, in addition to job losses, and many children attending school online from home, the implications on travel activity is extreme. We identify the initial impacts associated with the first month of stricter social distancing measures introduced in Australia.

2020-01-01T00:00:00Z Fayyaz, Muhammad Bliemer, Michiel Beck, Matthew Hess, Stephane Lint, Hans van https://hdl.handle.net/2123/22072 2026-06-12T07:53:44Z 2020-04-01T00:00:00Z

Route Choice Behaviour: Stated Choices and Simulated Experiences Fayyaz, Muhammad; Bliemer, Michiel; Beck, Matthew; Hess, Stephane; Lint, Hans van Surveys with stated choice experiments (SCE) are widely used to examine route choice behaviour in hypothetical choice contexts and to derive values of time and reliability for transport project appraisal purposes. In contrast to revealed choices, stated choices do not let participants experience (the consequences of) any attribute, which is one of the reasons why the external validity of SCE outcomes is often questioned. In this paper, we investigate the impact of simulated experiences on behaviour in a route choice context. We recruited 74 people who completed both a typical SCE and an incentive compatible driving simulator experiment (DSE), where the latter required respondents to experience the travel time of their chosen route and actually pay any toll costs associated with the choice of a tolled road. The choices are analysed via a heteroscedastic latent class model. Compared to the SCE, in the DSE, participants selected the tolled road less often, suggesting that having to pay actual money changes stated preferences. Furthermore, we found large variations in sensitivity to toll cost across participants. On the other hand, we found only minor differences in preferences towards travel time and travel time unreliability between SCE and DSE.

2020-04-01T00:00:00Z Perera, Supun Ho, Chinh Hensher, David https://hdl.handle.net/2123/21995 2026-06-12T07:53:44Z 2020-04-01T00:00:00Z

Resurgence of Demand Responsive Transit services – Insights from BRIDJ trials in Inner West of Sydney, Australia Perera, Supun; Ho, Chinh; Hensher, David This paper outlines the key insights gained from the Demand Responsive Transit (DRT) operations in Inner West Sydney, since its commencement in July 2018. It was identified that DRT can play a number of roles to complement the general public transport network, including the (1) peak feeder function, (2) connection function, and (3) coverage function. As a result, if successfully integrated with the existing public transport network, DRT can unlock broader fixed route network enhancements through resource reallocation to the key trunk routes. While the patronage for DRT services was found to steadily increase since the commencement of the operations, the key barrier for these services to attract further regular patronage remains the relatively higher fares arising due to the lack of Opal benefits such as mode transfer discounts or weekly caps. Therefore, while DRT has great potential to link those in less connected areas with public transport hubs, thus facilitating a modal shift away from private vehicles, they need to be affordable and well regulated. In the near future, DRT services will likely be integrated into MaaS applications, which could provide immense benefits in terms of sustainable travel and the effective utilisation of road network capacity.

2020-04-01T00:00:00Z Reck, Daniel J. Hensher, David A. Ho, Chinh Q. https://hdl.handle.net/2123/21987 2026-06-12T07:53:42Z 2020-03-01T00:00:00Z

MaaS Bundle Design Reck, Daniel J.; Hensher, David A.; Ho, Chinh Q. Mobility service bundling has received a lot of attention from researchers and practitioners due to its centrality to Mobility as a Service (MaaS) business models and potential to foster sustainable travel behavior. Stated choice studies have to date been used to explore the willingness to pay for MaaS bundles and their components. Despite an increasing number of academic studies and commercial trials, there is a surprising dearth of research on how to design MaaS bundles in the first place. Comparative learning is further limited as the designs of choice experiments and studied bundles differ widely. What are the underlying design dimensions and how can we separate differences in outcome from differences in design? We address this gap by extending the Design of Designs literature to distinguish between two categories of design dimensions for stated choice experiments: statistical and behavioral. We argue that not only statistical design (how many alternatives, attributes and levels) but also behavioral design (i.e., which attributes and levels) influences outcome. Behavioral ‘master designs’ are seldomly made explicit, yet precisely this situation leads to seemingly disjointed landscapes of stated choice studies in specific areas of application, limiting scientific advances, relevant policy-making and commercial realization. We demonstrate the practical value of our conceptual contribution by developing a behavioral master design for MaaS bundles. We show that every MaaS bundle is a permutation along ten design dimensions and every stated choice study is a permutation in a statistical and behavioral master design. Using the resulting grid, researchers can systematically compare studies, identify empirical research gaps and design new experiments accordingly and practitioners can obtain practical guidance for the design of new bundles.

2020-03-01T00:00:00Z Smith, Göran Hensher, David https://hdl.handle.net/2123/21881 2026-06-12T07:53:43Z 2020-02-01T00:00:00Z

Towards a Framework for Mobility-as-a-Service Policies Smith, Göran; Hensher, David Public authorities are increasingly pursuing activities to pave the way for Mobility-as-a-Service (MaaS). The range of activities includes regulation reforms, technology developments and investments in trials. Despite progress, concrete MaaS developments are still limited. Thus, it remains uncertain how effective the current MaaS policies will be in terms of facilitating the development and diffusion of MaaS that generate public value. Drawing on collaborative innovation and sustainability transition literature, this paper aims to provide a basis for analyzing MaaS policies by introducing a framework that identifies aspects that such policies should address. An empirical analysis of Transport for New South Wales’s MaaS policy program is utilized to illustrate how the framework can be applied. The contribution to the transport literature is twofold. First, the paper refines the conceptual understanding of what MaaS is, and why it differs from the present state of affairs. Second, it advances the knowledge of how the public sector can facilitate its development and diffusion.

2020-02-01T00:00:00Z Wang, Mentong Bell, Michael G H Miao, Lixin https://hdl.handle.net/2123/21882 2026-06-12T07:53:45Z 2020-03-01T00:00:00Z

A Branch-and-Price Algorithm for a Green Two-Echelon Capacitated Location Routing Problem Wang, Mentong; Bell, Michael G H; Miao, Lixin In this paper, we present a new green two-echelon capacitated location routing problem (G-2E-CLRP), which aims to determine simultaneous decisions on locating satellites and routing electric vehicles for city logistics delivery system. The first echelon consists of round trips from the depot to open satellites, the second echelon consists of tours from these satellites to the end customers, whereas battery swapping operations are only allowed at the depot or satellites. The problem is formulated as an arc-based formulation and then we propose a set- partitioning formulation in which routes are defined as second-echelon tours. We develop an branch- and-price (B&P) algorithm to solve this problem and propose a column generation procedure that combines modified Clarke Wright (MCW) savings method and pulse algorithm to provide feasible tours efficiently. The proposed algorithm is validated using extensive computational experiments and is found to perform well when compared against commercial branch-and- bound/cut solvers such as CPLEX. Based on these results, we assess the benefits of integrating locations of satellites and routes of electric vehicles in this new green two- echelon logistics system.

2020-03-01T00:00:00Z Tang, Li Ho, Chinh Q. Hensher, David Zhang, Xuenjun https://hdl.handle.net/2123/21775 2026-06-12T07:53:43Z 2020-02-01T00:00:00Z

Demand for travel information: what, when and how much is required by urban travellers Tang, Li; Ho, Chinh Q.; Hensher, David; Zhang, Xuenjun Advanced Traveller Information Service (ATIS) systems play a critical role in travel planning; however, relatively little is known about people’s overall information needs in urban areas. This study aims to understand what types of information are usually needed by urban travellers, and to what extent the information is required at different stages of the trip. A two-stage approach, combining exploratory factor analysis with ordered probit is implemented to analyze multi-dimensional and inter-related information alternatives. An empirical analysis was conducted using a survey of 253 face-to-face interviews, collected in 2015in Chengdu, China. The results indicate that demand is generally higher for public transport/road usage and real- time information. Travellers’ information needs also vary significantly across types, timing of acquisition and population segments. The findings suggest that merging and providing high quality information relating to travel time saving and unknown eliminating in a single digital app is likely to deliver greater commercial opportunities to information/mobility service providers. The implications for policy and travel demand management are also provided.

2020-02-01T00:00:00Z Hensher, David Mulley, Corinne Ho, Chinh Nelson, John Smith, Göran Wong, Yale https://hdl.handle.net/2123/21714 2026-06-12T07:53:46Z 2020-01-01T00:00:00Z

Understanding MaaS: Past, Present and Future Hensher, David; Mulley, Corinne; Ho, Chinh; Nelson, John; Smith, Göran; Wong, Yale

2020-01-01T00:00:00Z Valadkhani, Amir Hosein Ramezani, Mohsen https://hdl.handle.net/2123/21372 2026-06-12T07:53:45Z 2020-01-01T00:00:00Z

Designing a Dynamic Matching Method for Ride-Sourcing Systems Valadkhani, Amir Hosein; Ramezani, Mohsen The ubiquity of smart-devices enables the foundation for emerging fast-growing ride-sourcing companies that challenges the traditional taxi services. A crucial aspect of designing ride-sourcing systems is matching mechanism between idle ride- sourcing vehicles and passenger travel requests (i.e. vehicle-passenger matching). Forcing ride-sourcing vehicles to pick up long-distance waiting passengers causes wild goose chase problem that can dramatically increases search time. In this paper, a non-equilibrium based spatio-temporal vehicle-passenger matching method is introduced to determine dynamically and jointly the matching time instances and maximum matching distances to minimize passengers’ waiting time (i.e. from the travel request until the pickup) while considering the level of congestion of the network. The performance of the matching method under noticeable variation of tra c congestion and passenger travel requests are investigated with microsimulation.

2020-01-01T00:00:00Z