Application of aggregate container terminal data for the development of time-of-day models predicting truck arrivals

Workload forecasting related to truck arrivals is of essential importance not only for optimal resource allocation but also for encountering delays and bottlenecks in the landside operations of terminals. In order to increase their efficiency, some ports have tried to implement various methods such as Truck Appointment Systems (TAS) but, in general, information on the arrival times of trucks to pick up containers remains unreliable and scarce. This paper sought to develop pick-up time-of-day models for import containers using data easily retrieved from Terminal Operating Systems (TOS). Model results indicate that the receiver of goods and container characteristics are among the main factors affecting pick-up time-of-day. Differentiation is observed between the different days of the week. The developed Time-Of- Day (TOD) models can be used to calculate the probability of drayage truck arrival times. The application of the proposed methodology proves helpful when reliable information of truck arrivals is unavailable, and can also be used alongside TAS implementation to assist terminal operators

Development of a Latent Variable Model to Capture the Impact of Risk Aversion on Travelers' Switching Behavior

AbstractAdvanced Traveler Information Systems (ATIS) are becoming increasingly available throughout the world. While the impact of the provided information on the switching behavior has been investigated in the past, an area of research that is less well understood relates to the effect of the travelers' risk aversion (or risk-seeking) in their travel behavior. The objective of this research is to examine the impact of information acquisition on travelers' switching travel behavior and to identify and quantify the role of attitudes and perceptions on switching behavior. A combined choice and latent variable model has been developed, in which the individual traveler's risk aversion has been modeled as a latent variable. The model has been estimated using data collected through travel diaries in the Puget Sound Region (PSRC) in 2000. As expected, travelers in general tend to maintain their habitual travel pattern. However, specific travel information-such as that regarding an incident or road closure-influences behavioral switches such as departure time change and route change

The role of coastal shipping and telecommunications in the development of the insular region of the Mediterranean Archipelagos

This paper stresses the important role of coastal shipping as well as that of new technologies towards the lift of isolation of insular regions and it emphasizes the influence of the practice of telework in insular development. It also presents and analyses Socioeconomic and technological indices for the larger islands of the Mediterranean Archipelagos for 2004 and the particularities of the existing coastal shipping system in the wider region. It proves that the creation of an effective and cohesive telecommunication network in the region, as well as the improvement of the existing transport system constitute the most appropriate strategy in the regional development and in the viability of the region.Στην παρούσα εργασία τονίζεται ο σημαντικός ρόλος τόσο της ακτοπλοΐας όσο και των νέων τεχνολογιών για την άρση της απομόνωσης των νησιωτικών περιοχών. Έμφαση δίνεται στην επίδραση της πρακτικής της τηλεργασίας στη νησιωτική ανάπτυξη. Κοινωνικοοικονομικοί και τεχνολογικοί δείκτες παρουσιάζονται και αναλύονται για τα μεγαλύτερα νησιά του Αιγαίου Αρχιπελάγους για το έτος 2004. Επιπλέον, αναλύονται οι ιδιαιτερότητες του υπάρχοντος ακτοπλοϊκού μεταφορικού συστήματος στην ευρύτερη περιοχή. Διαπιστώνεται ότι η δημιουργία ενός αποτελεσματικού και συνεκτικού τηλεπικοινωνιακού δικτύου στην περιοχή, καθώς και η βελτίωση του υπάρχοντος μεταφορικού συστήματος αποτελούν την καταλληλότερη στρατηγική για την περιφερειακή ανάπτυξη και τη βιωσιμότητα της εν λόγω περιοχής

Incorporating social interaction into hybrid choice models

The aim of this paper is to develop a methodological framework for the incorporation of social interaction effects into choice models. The developed method provides insights for modeling the effect of social interaction on the formation of psychological factors (latent variables) and on the decision-making process. The assumption is based on the fact that the way the decision maker anticipates and processes the information regarding the behavior and the choices exhibited in her/his social environment, affects her/his attitudes and perceptions, which in turn affect her/his choices. The proposed method integrates choice models with decision makers’ psychological factors and latent social interaction. The model structure is simultaneously estimated providing an improvement over sequential methods as it provides consistent and efficient estimates of the parameters. The methodology is tested within the context of a household aiming to identify the social interaction effects between teenagers and their parents regarding walking-loving behavior and then the effect of this on mode to school choice behavior. The sample consists of 9,714 participants aged from 12 to 18 years old, representing 21 % of the adolescent population of Cyprus. The findings from the case study indicate that if the teenagers anticipate that their parents are walking lovers, then this increases the probability of teenagers to be walking-lovers too and in turn to choose walking to school. Generally, the findings from the application result in: (a) improvements in the explanatory power of choice models, (b) latent variables that are statistically significant, and (c) a real-world behavioral representation that includes the social interaction effect

Decision-making process for evaluating socio-economic impact of green transport policies in insular areas

Green transport policies, especially in insular areas, have to account for the unique characteristics and growth prospects with respect both to tourism development and travel behavior of residents. This paper evaluates the impact of green transport policies, moving one step further in research by rating the proposed policies in terms of their effectiveness in achieving a wide variety of economic, social, environmental, and other public policy goals (sustainability). Under this scope, the approach developed is based mainly on two decision methods that is the cost-benefit and multicriteria analysis, using data derived from stated preference surveys on residents and tourists as well as observations of actual choices. Thus, alternative policies are given qualitative ratings, and the weights derived from preference surveys on policymakers are applied to calculate a composite total score for each alternative. Based on this information, an advanced decision-making model for policymakers is developed for evaluating the socio-economic impact of foreseen green transport policies in islands taking into account their unique characteristics

Decision-making process for evaluating socio-economic impact of green transport policies in insular areas

Green transport policies, especially in insular areas, have to account for the unique characteristics and growth prospects with respect both to tourism development and travel behavior of residents. This paper evaluates the impact of green transport policies, moving one step further in research by rating the proposed policies in terms of their effectiveness in achieving a wide variety of economic, social, environmental, and other public policy goals (sustainability). Under this scope, the approach developed is based mainly on two decision methods that is the cost-benefit and multicriteria analysis, using data derived from stated preference surveys on residents and tourists as well as observations of actual choices. Thus, alternative policies are given qualitative ratings, and the weights derived from preference surveys on policymakers are applied to calculate a composite total score for each alternative. Based on this information, an advanced decision-making model for policymakers is developed for evaluating the socio-economic impact of foreseen green transport policies in islands taking into account their unique characteristics

Who is willing to share their AV? Insights about gender differences among seven countries

The introduction of shared autonomous vehicles into the transport system is suggested to bring significant impacts on traffic conditions, road safety and emissions, as well as overall reshaping travel behaviour. Compared with a private autonomous vehicle, a shared automated vehicle (SAV) is associated with different willingness-to-adopt and willingness-to-pay characteristics. An important aspect of future SAV adoption is the presence of other passengers in the SAV—often people unknown to the cotravellers. This study presents a cross-country exploration of user preferences and WTP calculations regarding mode choice between a private non-autonomous vehicle, and private and shared autonomous vehicles. To explore user preferences, the study launched a survey in seven European countries, including a stated-preference experiment of user choices. To model and quantify the effect of travel mode attributes and socio-demographic characteristics, the study employs a mixed logit model. The model results were the basis for calculating willingness-to-pay values for all countries and travel modes, and provide insight into the significant heterogeneous, gender-wise effect of cotravellers in the choice to use an SAV. The study results highlight the importance of analysis of the effect of SAV attributes and shared-ride conditions on the future acceptance and adoption rates of such services

Modeling user response to advanced travlers information systems (ATIS)

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1997.Includes bibliographical references (leaves 247-258).by Amalia Polydoropoulou.Ph.D

Modeling the influence of traffic information on drivers' route choice behavior

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1993.Includes bibliographical references (leaves 101-105).by Amalia Polydoropoulou.M.S