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"Transportation models"
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Quantitative methods in transportation
\"This textbook of quantitative methods in transportation engineering comes with problems and a solutions manual for adopting course instructors. Basic mathematics and calculus are prerequisites\"-- Provided by publisher.
Book
Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models
Accessibility is the ease of reaching opportunities (goods, services, activities, and destinations). Accessibility of desirable locations such as households and commercial locations, is typically scaffolded by land use patterns and transportation infrastructure. It can reflect people’s travel convenience, cities’ viability, sustainability, and mitigate the negative effects on the environment and public safety. Consequently, it is recognized as a fundamental principle in urban sustainable development policies worldwide. In the literature, most of the studies have used a static or partially dynamic approach with a single mode such as a car or public transportation by using conventional models. These “static” models assume that household locations are static and that transportation supply and opportunities for social practice activities are fixed in time and space, which can lead to biased or even misleading assumptions in accessibility models. Therefore, the aim of this study is to evaluate the impact of dynamic spatial accessibility through Mode-Dependent Accessibility (MDA) on the location choice behaviors of urban activities such as households and commercialin the City of Wuhan, China. This study employed the Mode-Dependent Travel Demand Model (M-TDM) to measure the impact of short-term MDA on household and commercial activities for the years 2012 and 2015. Additionally, an integrated spatial economic (ISE) model such as PECAS (Production, Exchange, Consumption, Allocation, System) in order to investigate location preferences of urban activities over space and time. Regarding household and commercial location choice, the ISE modeling results revealed that households and commercial activities are sensitive to MDA, especially using transit. The ISE method predicted that the R2 for household and commercial location choice models was 0.84 to 0.90 for transit-based accessibility, whereas the R2 for logsum-based static models was 0.48 to 0.72. In addition, their findings suggest that highly accessible locations that are well served by auto are more appealing for household and commercial activities. The findings of this study will help urban planners, transportation planners, and policymakers take into account the dynamic nature of short-term MDA when zoning and allocating urban activities and public amenities, instead of using static accessibility.
Journal Article
Modelling Transport
\"With this fourth edition, Modelling Transport has been fully updated and revised to retain its position as the market-leading text in the field of transport modelling. As with previous editions, each subject is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation and application. This edition features four significant content enhancements; a new chapter on modelling for private sector projects; a new chapter on activity-based modelling; a new section on dynamic assignment and micro-simulation; and sizeable updates to the disaggregate modelling and Stated Preference sections. It also tackles topical issues such as congestion charging, global warming and the role of GPS in travel time surveys\"--Provided by publisher.
Book
Modelling the Energy Consumption of Road Vehicles in Transport Networks Evaluation
Drivers are aware that energy consumption is a key factor in the cost of travel and that it affects their route choice on a road network. This paper presents a framework for modelling the estimation of energy consumption together with a link cost function that connects with the demand–supply interaction on a road network. Demand–supply interaction models, used in static and dynamic traffic assignment, have a significant limitation: they cannot simulate a generalised perceived cost in aggregate form without considering energy consumption as a component of the cost in a complete cost function. This paper presents a framework that explicitly takes into account the cost of energy consumption inside a consolidated traffic assignment model. The framework explicitly models the circular dependency between energy consumption and traffic conditions on the link. The model is specified and supported by a test numerical application in a test system, which validates the proposed framework.
Journal Article
Modeling ocean, rail, and truck transportation flows to support policy analysis
Freight transportation represents about 9.5% of GDP in the U.S., it is responsible for about 8% of greenhouse gas emissions, and supports the import and export of about 3.6 trillion in international trade. It is therefore important that the national freight transportation system is designed and operated efficiently. Hence, this paper develops a mathematical model to estimate international and domestic freight flows across ocean, rail, and truck modes, which can be used to study the impacts of changes in our infrastructure, as well as the imposition of new user fees and changes in operating policies. The model integrates a user equilibrium-based logit argument for path selection with a system optimal argument for rail network operations. This leads to the development of a unique solution procedure that is demonstrated in a large-scale analysis focused on all intercity freight and U.S export/import containerized freight. The model results are compared with the reported flow volumes. The model is applied to two case studies: (1) a disruption of the seaports of Los Angeles and Long Beach (LA and LB) similar to the impacts that would be felt in an earthquake; and (2) implementation of new user fees at the California ports.
Journal Article
Decentralised game-theoretic management for a community-based transportation system
The transportation system needs innovative schemes and applications to facilitate mobility in the cities that is user-friendly, easy, enjoyable and convenient according to citizens' constraints. In this study, the authors propose a decentralised architecture-based game-theoretic model for a community-based transportation system. This scheme, which involves multi-transportation forms, allows the user to be an active prosumer who can travel in the city using public and private forms and also make decisions about the trip cost. The authors propose a decentralised game-theoretic transportation algorithm to manage passenger needs, public bus interests, car ride-sharing and bicycle constraints. The simulations prove the effectiveness of the proposed scheme. The effectiveness of the decentralised game-theoretic transportation model appears more clearly when compared with the multi-mode double dynamic approach in [1], as it gives much better optimisation results.
Journal Article
Agent-based models in urban transportation: review, challenges, and opportunities
ObjectiveThis paper aims to provide a comprehensive overview of the current state of agent-based models, focusing specifically on their application in urban transportation research. It identifies research gaps and challenges while outlining the key potential directions for future research.MethodologyTo conduct this study, a bibliometric analysis has been performed on 309 documents obtained from the Scopus database. The resulting clustering analysis has been further supplemented with content analysis.FindingsThe analysis reveals the existence of nine distinct clusters representing a wide range of research methods and problem interpretations in the field. In-depth examination of selected publications within each cluster has helped to identify key challenges faced by agent-based modelling approaches. These challenges include enhancing computing efficiency, developing unified calibration and validation methods, ensuring reproducibility of work, and incorporating various modules or frameworks into models to accurately replicate the complexities of the transport system and travel behaviour within specific application contexts.
Journal Article