DrArunaSivakumar

Daina, Sivakumar, Polak, 2012, Development of a Stated Response Survey for Electric Vehicle’s Users Charging and Mobility Behaviour, 44th Universities' Transport Study Group Conference

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Zolgafhari A, Sivakumar A, Polak JW, 2012, Choice set pruning in residential location choice modelling: a comparison of sampling and choice set generation approaches in greater London, 43rd Annual Conference of the Universities-Transport-Studies-Group (UTSG), Publisher: TAYLOR & FRANCIS LTD, Pages: 87-106, ISSN: 0308-1060

The discrete choice analysis of residential location choice forms an important part of land use-transport modelling systems but gives rise to a number of significant modelling

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Zolfaghari A, Sivakumar A, Polak JW, 2012, Choice set pruning in residentiallocation choice modelling: acomparison of sampling and choiceset generation approaches in greaterLondon, Transportation Planning and Technology, Vol: 1, Pages: 87-106

The discrete choice analysis of residential location choice forms an important part of land use-transport modelling systems but gives rise to a number of significant modelling challenges, one of which is the choice set formation problem. A number of alternative approaches exist to addressing the choice set formation problem,but to the best of our knowledge, there have been no efforts to empirically compare their performance using real choice data. In this paper, we propose to address this gap by examining the performance of several choice set formation methods within the context of residential location choice in London. The paperpresents a brief review of the relevant theoretical and empirical literature on thetreatment of the choice set formation problem in the context of spatial choice and sets out the characteristics of the specific modelling approaches implemented in the empirical research. In particular, we compare a recently proposed hazard-based screening model with more conventional pure statistical treatments. Theempirical research uses a specially constructed data-set on residential location choice, developed by the authors for the Greater London area, which draws on information from a number of separate data sources (including revealed preference data from the London Area Travel Survey). The alternative choice set formation approaches are assessed in terms of their prediction performance on a hold-out validation sub-sample and also in terms of estimated modelparameters.

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Hu G, Sivakumar A, Polak JW, 2012, Modelling travellers’ risky choice in a revealed preference context: A comparison of EUT and non-EUT approaches, Transportation

Recent work on risky choice modelling has sought to address the shortcomings of expected utility theory (EUT) by using non-expected utility theoretic (non-EUT) approaches. However, to date these approaches have been merely tested on stated choice data which is flexible and cheap. In this study, we empirically investigate the feasibility and validity of non-EUT approaches in a revealed preference (RP) context in which travel time distribution is extracted from observed historical travel time data, and subsequently present systematic comparisons between EUT, weighted utility theory (WUT), rank-dependent expected utility theory (RDT), and prospect theory (PT). The empirical evidence indicates that each non-EUT model has important behavioural insights to offer, moreover, EUT as well as non-EUT models can be applied to the RP context. However, the EUT and non-EUT model fits are generally similar with only PT providing a marginally improved model fit over EUT. The key findings presented in this study reinforce the importance of exploring non-EUT models within a revealed preference context before they can be applied reliably to modelling risky choices in the real world.

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Sivakumar A, Keirstead J, Polak JW, 2012, Integrated Modelling of the Demand & Supply Vectors in Urban Energy Systems: Conceptual and Modelling Frameworks for the Development of a New Toolkit, Computer-Aided Civil and Infrastructure Engineering

This paper presents the conceptual and modelling frameworks underlying the development of SynCity, an urban systems modelling tool developed as part of the BP-sponsored Urban Energy Systems (UES) project at Imperial College London. SynCity, a hierarchical model system developed in Java, comprises four layers – a spatial layout model, an agent-based microsimulation model of urban activities (AMMUA), a resource flow and conversion/network optimisation model; and an urban energy service networks model. The AMMUA comprises three inter-related modules -- an activity travel demand model, an urban freight logistics component, and a land use module – and simulates a variety of agents including individuals, households, businesses, and industries. While the spatial layout and resource flow models are optimization models aimed at producing normative and potentially optimal solutions, the AMMUA is a descriptive model that aims to predict realistic patterns of agent behaviour. This combination forms a novel approach to modelling urban energy systems which is, to the best of our knowledge, among the first of its kind (this approach has some precedent in continuous equilibrium network design models). The complexity of integrated systems modelling does not typically allow for normative models and our approach conceptually overcomes the difficulty, thus simultaneously serving as a descriptor of behaviour and a design tool. The implementation of SynCity described in this paper is not only the first empirical application of an activity-based travel demand system in the UK but goes further to tie activity and travel demand patterns to resource consumption and energy demand. More importantly, the research breaks new ground in the way that transport demand is conceptualised – as part of a wider system of interactive social and economic relationships that are examined both from a normative and descriptive perspective.

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Le Vine S, Lee-Gosselin M, Sivakumar A, Polak Jet al., 2011, Design of a Strategic-Tactical Stated-Choice Survey Methodology Using a Constructed Avatar, TRANSPORTATION RESEARCH RECORD, Pages: 55-63, ISSN: 0361-1981

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• Citations: 13

Sivakumar A, Bhat CR, 2007, Comprehensive, unified framework for analyzing spatial location choice, TRANSPORTATION RESEARCH RECORD, Pages: 103-111, ISSN: 0361-1981

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• Citations: 17

Sivakumar A, Bhat CR, Ökten G, 2005, Simulation estimation of mixed discrete choice models with the use of randomized quasi-Monte Carlo sequences -: A comparative study, 84th Annual Meeting of the Transportation-Research-Board, Publisher: TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL, Pages: 112-122, ISSN: 0361-1981

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• Citations: 18

Bhat CR, Guo JY, Srinivasan S, Sivakumar Aet al., 2004, Comprehensive econometric microsimulator for daily activity-travel patterns, 83rd Annual Meeting of the Transportation-Research-Board, Publisher: TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL, Pages: 57-66, ISSN: 0361-1981

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• Citations: 189

Bhat CR, Sivakumar A, Axhausen KW, 2003, An analysis of the impact of information and communication technologies on non-maintenance shopping activities, TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, Vol: 37, Pages: 857-881, ISSN: 0191-2615

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• Citations: 43

Sivakumar A, Bhat C, 2002, Fractional split-distribution model for statewide commodity-flow analysis, 81st Annual Meeting of the Transportation-Research-Board, Publisher: TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL, Pages: 80-88, ISSN: 0361-1981

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• Citations: 34