An activity-based approach for complex travel behaviour modelling

Bifulco, Gennaro Nicola; Cartenì, Armando; Papola, Andrea

doi:10.1007/s12544-010-0040-3

Cited by 38 publications

(24 citation statements)

References 12 publications

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“…With respect to the assignment model [2], stochastic user equilibrium assignment was considered for car passenger mode, while stochastic network loading assignment model was used for freight vehicles. In the next sections the main element of the simulation models are reported; for all the details on the data, models and calibration methods and sample see also [1,3,5].…”

Section: Case Study and Simulation Modelsmentioning

confidence: 99%

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Urban sustainable mobility. Part 2: Simulation models and impacts estimation

Cartenì¹

2017

Transport Problems

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Summary.The urban sustainable transport policies are very different in terms of costs and expected benefits, and the effects of these policies and their combinations are difficult to anticipate on a purely intuitive basis and sometimes the end effect could be contrary to intuitive expectations (e.g. policies aimed to reduce pollution, ending up in increasing it). In this context, the concept of eco-rational planning assumes a central role. This means identifying the right mixture of interventions to be implemented on the transport system that is: rational for the transport system and sustainable for people's health and for the environmental and requires minimal economic resources. Starting from the results of the compendium paper (Part 1), the paper investigate on non-rational sustainable transport policies through an ex-post analysis on real casa application in Naples (Italy).ZRÓWNOWAŻONA MOBILNOŚĆ MIEJSKA. CZĘŚĆ 2: MODELE SYMULACYJNE I OSZACOWANIE ODDZIAŁYWANIA Streszczenie. Polityki zrównoważonego transportu miejskiego są bardzo różne pod względem kosztów i spodziewanych korzyści. Skutki polityk i ich kombinacje są trudne do przewidzenia na podstawie czysto intuicyjnej i czasem efekt może być sprzeczny z oczekiwaniami (np. polityka zmierzające do zmniejszenia zanieczyszczenia, kończąca się jego zwiększeniem). W tym kontekście pojęcie ekoracjonalnego planowania zaczyna mieć podstawowe znaczenie. Oznacza to identyfikację odpowiedniego zestawu działań (w celu wdrożenia w systemie transportowym), który jest: racjonalny dla systemu transportu i zrównoważony dla zdrowia ludzi i dla środowiska oraz wymaga minimalnych zasobów gospodarczych. Począwszy od wyników pracy przedstawionych w części pierwszej, artykuł przedstawia niezbadane racjonalne polityki zrównoważonego transportu przez analizy prawdziwych przypadków zaistniałych w Neapolu (Włochy).

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Section: Case Study and Simulation Modelsmentioning

confidence: 99%

“…For the estimation of the passenger demand the Activity-based choice model [4] implemented by Bifulco et al [1] …”

Section: The Passenger Demand Modelmentioning

confidence: 99%

Urban sustainable mobility. Part 2: Simulation models and impacts estimation

Cartenì¹

2017

Transport Problems

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“…3):  urban impedance function (supply model) was considered as suggested in Cartenì and Punzo [26], where the link generalized transport cost is equal to the sum of the trip travel time (in a congested network with a pre-load of a private car OD demand) plus the fuel cost (estimated considering 0.15 Euro cent/km). Furthermore, for the suburban highway was considered a ticket price equal to 1.0 Euro/trip;  a nested Logit demand model as proposed in Cartenì and Russo [27] and Russo and Cartenì [28] for city logistics and in Bifulco et al [29], hypothesizing an origindestination freight demand flow equal to 1,000 light good vehicles/hour for all the OD pairs;  an elastic SUE (Stochastic User Equilibrium) supply-demand (assignment) model for congested network as suggested in Cantarella et al [30].  P* is the vector solution of the optimization problem representative of the freight path tolls (6 tolls values for the 6 freight vehicles paths in the network as reported in Tab.…”

Section: An "Acceptance and Equity" Indicator For Design Urban Freightmentioning

confidence: 99%

A New Look in Designing Sustainable City Logistics Road Pricing Schemes

Cartenì¹

2017

WIT Transactions on Ecology and the Environment

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The congestion caused by freight vehicles within city logistics has become a serious problem for the cities round the world. Furthermore, the pollutant impacts of these vehicles are very high also at urban scale. Many cities are trying to propose planning strategies aimed at reducing these external impact of freight transport through sustainable transport policies. The idea of introducing a toll for rationalize the use of the road infrastructures by freight vehicles in city logistics is one of the most common Transportation Demand Management policies. The development of ITS technologies today allow to design these pricing schemes in several ways connecting the price to individual trips either on the congestion level as well as to the freight vehicle consumption\emission characteristics or the size and the loading factor. The road-pricing is a well-established practice all round the world. One of the main limits of the available case studies is that they don't take into account the impacts on the acceptance and on equity among the freight carriers. The aim of the study is to propose a new look in designing a sustainable city logistics road pricing schemes based on transport-related "acceptance and equity" measures useful for enlarge both the acceptance of this policy among the carriers and the equity produced in term of transport costs supported by the freight companies competing in the market. The origin-destination net perceived utility s(V) is the variable proposed as an acceptance and equity measure. The idea was to consider the dispersion of s(V) as a measure of equity and the change in s(V) deriving from a road-pricing scheme as an inverse measure of acceptance (the smaller the change the larger is the acceptance of the policy among freight carriers). Furthermore, an application to a toy network was performed to test the benefit and the applicability of the proposed measure at reducing external and internal impacts deriving from a city logistics policy.

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“…A Multinomial Logit model specification has been used to model mode choices with four mode or service alternatives: car, motorcycle, public transport, walking. For each mode, the systematic utility includes both level-of-service and socioeconomic attributes (for all models details see [34,35]). …”

Section: Forecasting Approaches Simulatedmentioning

confidence: 99%

An assessment of the accuracy of models in predicting railway traffic flows: a before and after study in Naples

Cartenì¹,

Galante²,

Henke³

2014

The Sustainable City IX

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The relevant interactions among the various elements of a transportation system can be simulated with mathematical models. In literature there is a great number of applications of these models. They are generally estimated so as to reproduce the observed actual system conditions and then applied to predict the future system conditions due to possible changes in the supply system. But what is the reliability of these predictions? Very few studies have been conducted in order to verify the reliability of these models by comparing the real future system conditions with those predicted by the model. Starting from these considerations, this paper investigates the prediction reliability of the transport system models, developed for the Campania (Italy) Regional Metro System (RMS), through a before and after study, taking advantage of the opening of new parts of railways system occurred over the last twenty years. Some interesting remarks can be made from the results analysis allowing to avoid unreal demand estimations. For example, a correction procedure of transport model system based on aggregate data (traffic counts) seems to be necessary to obtain a model with an acceptable capability to reproduce/forecast transport systems. Otherwise, when dealing with considerable changes in the supply system (for example the opening of new metro lines), considerable changes in the OD demand might also be expected and, therefore, a model is absolutely needed to forecast these changes.

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An activity-based approach for complex travel behaviour modelling

Cited by 38 publications

References 12 publications

Urban sustainable mobility. Part 2: Simulation models and impacts estimation

Urban sustainable mobility. Part 2: Simulation models and impacts estimation

A New Look in Designing Sustainable City Logistics Road Pricing Schemes

An assessment of the accuracy of models in predicting railway traffic flows: a before and after study in Naples

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