TransportmetricaPub Date : 2011-01-01DOI: 10.1080/18128600903244776
Y. Sunitiyoso, E. Avineri, K. Chatterjee
{"title":"On the potential for recognising of social interaction and social learning in modelling travellers’ change of behaviour under uncertainty","authors":"Y. Sunitiyoso, E. Avineri, K. Chatterjee","doi":"10.1080/18128600903244776","DOIUrl":"https://doi.org/10.1080/18128600903244776","url":null,"abstract":"This study aims to investigate the potential of incorporating social interaction and social learning in modelling travellers’ change of behaviour under uncertainty. The interdependent situation between travellers in using the road as a public good is considered a source of uncertainty to be studied. The role of social information in reducing the level of uncertainty is investigated. The research methodology utilises laboratory and simulation experiments. A social interdependence situation which is formulated as a hypothetical employer-based demand management initiative in reducing car use is used as the case study. A laboratory experiment demonstrates the dynamic processes of travel behaviour in making repeated travel decisions. Analyses on group and individual behaviours of travellers provide some indications about the existence of some types of social and individual learning mechanisms in their decision-making. The results of the laboratory experiment also provide basic information for developing a simulation model in the next stage of the study. The simulation experiment utilises an agent-based simulation model to simulate and analyse behaviours of individuals in larger environments, larger group sizes, longer time periods and various situational settings. The simulation experiments provide indications, which are supported by the evidence obtained from the laboratory experiment, that social information may have both positive and negative effects on individuals’ behaviour, depending on the form of social learning mechanisms that are used by travellers. Providing social information does not necessarily reduce the uncertainty level; however, it is shown to do so when social learning strongly exists among travellers.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"7 1","pages":"30 - 5"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600903244776","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59925499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-10-01DOI: 10.1080/18128600903222848
Wen-Xiang Wu, Haijun Huang
{"title":"A new model for studying the SO-based pre-trip information release strategy and route choice behaviour","authors":"Wen-Xiang Wu, Haijun Huang","doi":"10.1080/18128600903222848","DOIUrl":"https://doi.org/10.1080/18128600903222848","url":null,"abstract":"In reality, the predictive traffic information is rarely perfect. It is thus a rational assumption that travellers would not be completely in compliance with the guidance by advanced traveller information systems (ATIS). This article presents a Markovian decision programming (MDP) model for investigating the day-to-day receiving and adjusting process to the pre-trip information released by ATIS at route level. The goal is to seek an optimal information release strategy (IRS) for minimising the overall disutility under the assumption that travellers’ route choice is governed by a logit model on the base of adopted travel times. The properties of the model solution are analysed. It is found that there exists an optimal IRS that can drive the flow pattern to a system optimum (SO) if the behaviour adjustment parameter satisfies a condition as . The predictive information provided to drivers results in the oscillation of traffic flow among alternative routes when . The solution of the MDP model is obtained by solving a series of sequential minimisation programs. The model and algorithm are numerically verified on a test network.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"271 - 290"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600903222848","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59924893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-10-01DOI: 10.1080/18128600903194427
E. Hui, Man Hon Ng, J. Xu, T. Yip
{"title":"The cargo throughput response to factor cost differentials–an analysis for the port of Hong Kong","authors":"E. Hui, Man Hon Ng, J. Xu, T. Yip","doi":"10.1080/18128600903194427","DOIUrl":"https://doi.org/10.1080/18128600903194427","url":null,"abstract":"Previous studies on port cargo throughput have been simplified. The regression models are mainly based on the autoregressive time series, in which the port throughput is regressed against the lagged value from the preceding time period. Most factors are assumed exogenous to port throughput. This approach is based on the premise that ports are oligopoly markets and many factors (e.g. port charges) are not available for inclusion in research. The main objective of this study is to include the costs of using the port in the regression model so as to reflect real commercial decision. Due to port costs generally not being available, the real estate prices and other factors are chosen as proxy variables to indicate indirectly the costs and benefits of using the port under study.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"235 - 248"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600903194427","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59924820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-10-01DOI: 10.1080/18128600903401236
C. Wen
{"title":"Alternative tree structures for estimating nested logit models with mixed preference data","authors":"C. Wen","doi":"10.1080/18128600903401236","DOIUrl":"https://doi.org/10.1080/18128600903401236","url":null,"abstract":"The methods used with data from a single source are inadequate to the challenge of modelling choice behaviour with data from multiple sources. Two distinct formulations, namely the non-normalised nested logit and utility-maximising nested logit models, have been proposed to estimate discrete choice models with mixed revealed preference and stated preference data, in which each data type has the multinomial logit or nested logit form. The article uses two alternative nested logit model formulations to demonstrate how to correctly set up tree structures for estimating nested logit models with mixed preference data. This article provides formulae for recovering correct utility function, dissimilarity and scale parameter estimates. Estimations and correction procedures are empirically illustrated and can be applied to other nested logit models with multiple data sources.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"291 - 309"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600903401236","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59925262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-07-01DOI: 10.1080/18128600903168108
Yu-Chiun Chiou, Tai-Chieh Chen
{"title":"Direct and indirect factors affecting emissions of cars and motorcycles in Taiwan","authors":"Yu-Chiun Chiou, Tai-Chieh Chen","doi":"10.1080/18128600903168108","DOIUrl":"https://doi.org/10.1080/18128600903168108","url":null,"abstract":"This article proposes Direct Correlation (DC) models and Integrated Correlation (IC) models for cars and motorcycles emissions, respectively. The DC models regress emissions on vehicle-related variables (i.e. direct factors), while the IC models further account for such variables (i.e. indirect factors) as driver/rider demographics, vehicle mileages travelled and regional types by using structural equation modelling. Results show that vehicle characteristics are the most influencing factors affecting hydrocarbon and carbon monoxide emissions. The old vehicles with small engine, manual transmission, high cumulative mileages travelled, using unleaded gasoline #92 and 2-stroke engine (for motorcycle) can be identified as ‘high-emitting’ vehicles. The second most influencing construct is the driver/rider demographics. The aged, male, low-educated car drivers and motorcyclists with high income and long driving/riding experience tend to use high-emitting vehicles.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"215 - 233"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600903168108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59924788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-07-01DOI: 10.1080/18128600902906755
Ta-Hui Yang
{"title":"A two-stage stochastic model for airline network design with uncertain demand","authors":"Ta-Hui Yang","doi":"10.1080/18128600902906755","DOIUrl":"https://doi.org/10.1080/18128600902906755","url":null,"abstract":"This study addresses airline network design problems with stochastic demand. The airline network design problem aims to determine hub location, flight routes and flow allocation. The hub location decision is a long-term investment and will not vary according to different demand levels. On the other hand, the determination of flight routes and flow allocation are short-term decisions and may change due to seasonal demand variation. A two-stage stochastic model was proposed to formulate the problem. The first-stage problem corresponds to hub location decision, while the second-stage corresponds to flight route determination and flow allocation based upon the hub location from the first stage and realised uncertain demand. Finally, a contrived network and a real network are used to test the proposed model.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"187 - 213"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600902906755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59925000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-07-01DOI: 10.1080/18128600902853197
Chia-Hung Chen, S. Yan, Chih-Hwang Tseng
{"title":"Inter-city bus scheduling for allied carriers","authors":"Chia-Hung Chen, S. Yan, Chih-Hwang Tseng","doi":"10.1080/18128600902853197","DOIUrl":"https://doi.org/10.1080/18128600902853197","url":null,"abstract":"Inter-city bus carriers have increasingly entered into alliances with other carriers as a means of forming complete networks and improving operation efficiency. Vehicle fleet routing and timetable setting are not only important in inter-city bus carrier operations, but are also related to alliance effects. The setting of a good timetable cannot only enhance the allied inter-city bus carriers’ operating performance, but also be a useful reference for alliance decision-making. In this research, we develop several coordinated scheduling models by combining vehicle fleet routing and timetable setting. To evaluate the models, we perform a case study using real operating data from two Taiwan inter-city bus carriers. The preliminary results are good, showing that the models could be useful for inter-city bus carrier's alliances.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"7 1","pages":"161 - 185"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600902853197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59924883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-04-01DOI: 10.1080/18128600802630281
C. Tong, S. C. Wong
{"title":"Heuristic algorithms for simulation-based dynamic traffic assignment","authors":"C. Tong, S. C. Wong","doi":"10.1080/18128600802630281","DOIUrl":"https://doi.org/10.1080/18128600802630281","url":null,"abstract":"This study reviews and compares two heuristic algorithms: methods of successive averages and route swapping, which are commonly used in simulation-based dynamic traffic assignment models. A new hybrid algorithm that has the advantages of both algorithms is introduced. As finding a unique solution cannot be guaranteed, the concept of solution reliability is suggested for the formulation of convergence criterion. An example network is used to illustrate the method.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"120 - 97"},"PeriodicalIF":0.0,"publicationDate":"2010-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600802630281","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60523694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-04-01DOI: 10.1080/18128600903034342
M. Karlaftis
{"title":"Ownership and competition in European transit: assessing efficiency","authors":"M. Karlaftis","doi":"10.1080/18128600903034342","DOIUrl":"https://doi.org/10.1080/18128600903034342","url":null,"abstract":"Ownership and competition and their effect on public transit system efficiency is a topic of considerable interest. In this article, we use a stochastic frontier error component model specification that incorporates a dynamic ARCH error structure to assess the effects of ownership and competition on European public transport systems using data from 15 European systems for a 10-year time period (1990–2000). Results indicate: (i) a clear rejection of the standard frontier model and existence of ARCH-related heteroskedastic technical inefficiency; (ii) transport operators in cities where competition has been introduced to demonstrate increased efficiency and (iii) efficiency findings vary between different error formulations.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"143 - 160"},"PeriodicalIF":0.0,"publicationDate":"2010-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600903034342","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59924778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TransportmetricaPub Date : 2010-04-01DOI: 10.1080/18128600902857925
D. Ngoduy
{"title":"Multiclass first-order modelling of traffic networks using discontinuous flow-density relationships","authors":"D. Ngoduy","doi":"10.1080/18128600902857925","DOIUrl":"https://doi.org/10.1080/18128600902857925","url":null,"abstract":"Recently, the modelling of heterogeneous traffic flow has gained significant attention from traffic theorists. The influence of slow vehicles (e.g. trucks) on traffic operations has been studied both from a micro and macroscopic level. Though multiclass traffic models have been successfully developed in literature, few of them are adequately used to describe traffic network operations. To this end, this article aims to propose a model to study the (heterogeneous) traffic network operations based on the macroscopic modelling approach. More specifically, on the one hand, we introduce an extension of the classic Lighthill–Whitham–Richards model to describe multiclass traffic operations in the network. The proposed model is based on solving a system of hyperbolic partial differential equations describing multiclass traffic dynamics with discontinuous fluxes. On the other hand, a dynamic routing algorithm is applied to determine the turning flow at nodes based on the information provision of the current network situation. Numerical results have shown that the proposed model can capture some real traffic phenomena in multiclass traffic networks.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"121 - 141"},"PeriodicalIF":0.0,"publicationDate":"2010-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600902857925","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59924930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}