ProjectList
ProjectList
Preferences for Shared Autonomous Vehicles
Objectives:
Developing understanding about market update of AVs
Finding Highlights:
- Service attributes may affect use of shared autonomous vehicles.
- Service attributes may influence the acceptance of dynamic ride-sharing.
- Acceptance of dynamic ride-sharing may be linked to higher-order orientations.
- Multimodality increases the propensity of choosing shared autonomous vehicles.
Team members involved:
1- Taha Rashidi
2- Rico Krueger
Related Materials:
1- Journal paper published in the Journal of Transportation Research Part C [Link]
Destination and duration choice of tourists in Australia
Objectives:
MODELLING tourists' behaviour on choosing destination and duration of trips visiting major states in australia
Finding Highlights:
Effectiveness of a MDCEV formulation in jointly modelling duration of visiting major cities in australia
Team members involved:
1- TAHA RASHIDI
2- SHuangqing Gong
Related Materials:
Modelling Market Uptake of a New Mobility Option in the Sydney Metropolitan area: A Stated Choice Study on Motorcycle Taxis
Objectives:
Developing understanding about the acceptance of motorcycle taxis
Modelling possible market uptake of motorcycle taxis in Sydney
Finding Highlights:
l Service attributes may influence the acceptance of motorcycle taxis
l Traffic condition may increase the possibility of choosing motorcycle taxis
l Market share may be influenced by the safety of motorcycle taxis
Team members involved:
1- Taha Rashidi
2- Bozhezi Peng
3- Rico Krueger
Related Materials:
Logistics of Surplus Food Rescue and Distribution
Objectives:
Estimate the supply of surplus food types available at different food providers
Model a dynamic multi-objective allocation-routing problem with stochastic supply
Finding Highlights:
Effectiveness of SEM, Neural Networks and MLR in estimating the availability of surplus food types.
Reduction in operational cost and waste, and improvement in fair and sustainable distribution of rescued food.
Team members involved:
1- Taha Rashidi
2- Divya Nair
3- Vinayak Dixit
Related Materials:
1- Journal paper published in Socio-Economic Planning Sciences [Link]
Demand Estimation for Public Transportation
Objectives:
- To identify all the possible issues related to transit demand estimation
- To investigate potential modelling structures (sequential, joint or individual) to model mode, stop and route choices.
- To incorporate an effective method to use users' socioeconomic and demographic data for describing their travel behavior and selection preference.
Finding Highlights:
- Transit users use different strategies when selecting routes or access stops.
- The choice of routes/access stop is affected by impedance factors of the paths (number of transfers, walking time, travel time), as well as by the attributes of the stop (such as walking time to access the stop etc.).
- The choice of routes/access stop is also affected by the socio-economic-demographic factors of the transit users.
Team members involved:
1- Taha Rashidi
2- Mohammad Nurul Hassan
3- Neema Nassir
Related Materials:
1- Journal paper published in Journal of Public Transportation [Link]
Large data analysis applying on urban transport network
Objectives:
- Collect related data from social media to analyze urban transport network
Finding Highlights:
- Social media: a lower cost, easily collected data source from transport research
- The research may help to study individual behavior of people with similar social network
- The research may help the urban transport network planning and reduce traffic congestion
Team members involved:
1- Taha Rashidi
2- Zesheng Cheng
3- Mojtaba Maghrebi
4- Travis Waller
Related Materials:
Reviewing the transport domain quantitatively
Objectives:
- Analysing the field of transport from a bibliometric point of view
Finding Highlights:
- 18 main clusters of transport research are identified among which “Discrete choice modelling”, “Traffic equilibrium model” and “Congestion pricing”, “Driving behavior”, “Safety”, and “Activity scheduling” were found to be the most dominating areas in the field.
- transport research area has progressively accelerated in the recent years
- the journals of ‘Management Science’, ‘Operations Research’, ‘European Journal of Operational Research’, ‘Econometrica’, and ‘American Economic Review’, consistently, have been among the top 50 high external cited journals by transport scholars.
- the “demand forecasting” and “traffic flow theory” committees of TRB have high but diverse number of citations among their members while the “travel behaviour and values” committee members have relatively high number of citation with relatively smaller value of standard deviation for number of citations.
- ‘‘Equilibrium’’, “Network”, “Injuries”, “Drivers”, “Accident”, “Demand” and “Mode choice” were the hot research topics in the area of transport in the early 1990s.
Team members involved:
1- Taha Rashidi
2- Ali Najmi
3- Alireza abbasi
4- Travis Waller
Related Materials:
Journal paper published in the Journal of Scientometrics [Link]
Dynamic ride sharing
Objectives:
- proposing a Novel Dynamic Matching Formulations for Real-time Ride-sharing Systems
Finding Highlights:
- Choice of the objective function and the dynamic matching policy can substantially improve the performance of the ride-sharing system.
- The “Distance Proximity” (dp) objective function (proposed in this ersearch) outperforms the “number of matches” (nm) objective function.
- The As soon as (ASA ) policies are not compatible with the “distance saving” (ds) objective function (compared with DP objective function).
- Geographically clustering of the announcements can effectively facilitate runnng the algorithm for very larg scale real-time ride-sharing problems.
Team members involved:
1- Taha Rashidi
2- Ali Najmi
3- David Rey
Related Materials:
Disaggregate behavioural land use modelling- Integration of housing search, job search and households' dynamics
Objectives:
- Investigating and formulating the impact of households’ behavioural derivers, such as their future plan and risk attitudes on the decision of residential relocation
Finding Highlights:
- Those who have decided to buy their next residence are less likely to relocate compared to those who will rent their next living place.
- Risk attitudes of households is shown to have a positive impact on residential mobility.
- When the intertwined relationship between job and residential relocation is NOT endogenously modelled, the estimated impact would be overestimated compared to the endogenous specification.
Objectives:
- Investigate the interrelation of normative beliefs, which are an individual’s perception of the beliefs of others regarding a specific behaviour, and modality styles, which represent the part of an individual’s lifestyle that is characterised by the use of a certain set of modes.
Finding Highlights:
- Study proposes an integrated conceptual framework that combines elements of lifestyle-oriented and socio-psychological approach to travel behaviour analysis.
- Modality styles are hypothesised to be a function of normative beliefs towards the use of different modes of transport; mobility-related attitudes and behaviours are in turn hypothesised to be functions of modality styles.
- The conceptual model is operationalised using a latent class and latent variable model and empirically validated using data collected through an Australian consumer panel.
- We demonstrate how this integrated model framework may be used to understand the relationship between normative beliefs, modality styles and travel behaviour.
- In addition, we show how the model can be applied to predict how extant modality styles and patterns of travel behaviour may change over time in response to concurrent shifts in normative beliefs.
Team members involved:
1- Taha Rashidi
2- Rico Krueger
3- Ashkay Vij
Related Materials:
Journal paper published in the Journal of Transportation [Link]
Agent-based modelling of residential mobility in Metropolitan Sydney
Objectives:
- Model and simulate urban residential movements using an agent-based approach.
- Integrate a population evolution module to simulate household formation and individual’s life-course changes.
Finding Highlights:
- Variations in the simulated demographic rates could lead to very different urban residential population distribution patterns.
Team members involved:
1- Taha Rashidi
2- Amarin SIripanich
Related Materials:
Conference paper presented at ATRF2016 [Link]
Exploring the relationships between property values and accessibility indicators using public transport usage data, go card
Objectives:
- Predict residential property values using accessibility indicators extracted from public transport usage data
Finding Highlights:
- The number of morning trips and the number of transfer trips via public transport services, overall, has a positive influence on property values. Suggesting building more mixed-used, high-density residential buildings and increasing connectivity of the services can lead to higher property values.
Being close to a railway and ferry station shows a value added on property values. However, this finding is not always consistent across different studies.
Team members involved:
1- Taha Rashidi
2- Amarin SIripanich
3- Emily Moylan
Related Materials
Modelling the Strategic Interactions of Driver Manoeuvres
Objectives:
- To investigate the significance of risk attitude and risk perception parameters in decision payoffs for game theoretic interactions of driver manoeuvres.
- To investigate a Quantal Response Equilibrium game solution for interactive merging and give-way behaviours at a freeway on-ramp.
Finding Highlights:
Risk attitude and risk perception parameters are able to explain observed driver interactions, including those which deviate from theoretical Nash Equilibrium predictions. The addition of these risk-related parameters in payoff functions thus help to better evaluate the safety of existing and proposed measures for traffic management & control.
A Quantal Response Equilibrium game solution is able to effectively explain observed driver interactions at a freeway on-ramp. The QRE framework assumes drivers have stochastic anticipations of other conflicting drivers, whereas a Nash Equilibrium game solution assumes these anticipations are deterministic.
Team members involved:
1- Taha Rashidi
2- David Arbis
3- Vinayak Dixit