5,065 research outputs found
Westwood Multimodal Transportation Plan
Westwood is experiencing an industrial regeneration that will change the way the area is utilized by the surrounding communities. To be proactive, Henrico County is planning for the future by creating an overlay zoning district and striving for a multimodal environment to ensure the area grows in a sustainable manner.
This plan evaluates the study area, retrieves community engagement, and makes recommendations on streetscape design and public transit improvements to create a multimodal Westwood. Study area observations provided evidence that the streets in Westwood need to be redesigned to accommodate more for pedestrians and cyclists. Community outreach in the form of a survey was conducted to gather input on how the streetscape should be designed and what elements of the study area need the most attention. Results of the surveys and observations were analyzed and used to build the recommendations made for Westwood.
Various types of funding options are presented to implement this plan. Sustainable, connected, and integrated transportation is essential to success and livability of the fast-growing study area. The plan aims to supply the knowledge needed to create a livable and thriving Westwood
An evaluation on performance of container multimodal transportation system based on AHP-Entropy method
In recent years, multimodal transportation has achieved rapid development with the
support of the governments and stakeholders. Multimodal transportation is characterized
by high transportation efficiency, low transportation cost, energy saving and environmental
protection. However, the existing transportation industry development indicators are
defined and counted from the perspective of a single subsystem. This contribution
establishes a performance evaluation index for three container multimodal transportation
subsystem from four aspects: capacity, transportation cost, service quality and sustainable
development based on system engineering techniques. In order to fully reflect the
differences between the decision-makers' subjective experience and preference and
objective information, this contribution uses the combination of Analytic Hierarchy
Process (AHP) and entropy method to determine the weight of indexes. The methodology
is applied to examine performance of three container multimodal transportation subsystems
in Ningbo-Shaoxing (China) multimodal transportation system. The results show that:
multimodal railway is superior to highways and multimodal inland waterway. The
methodology and discussion of the AHP-entropy method may be useful for similar
transport systems in a make decision framework.Incomin
The Necessity of Developing Multimodal Transportation in Croatia as a Factor of Meeting the European Union Transportation Policy Recommendation and a Beneficial Factor for the Development of Croatian Economy
The paper emphasises the necessity of developing multimodal transportation solutions in Croatia.
Croatian transport infrastructure is not at a satisfactory stage of development, and, due to Croatia’s
geographical position, the development of multimodal transportation is a beneficial factor for the
development of the country’s economy. European Union recommends multimodal solution as less
polluting and more energy efficient. Further, it is shown that the modernisation of transportation system
in Croatia, by developing a multimodal transportation system, represents a comparative advantage
factor for Croatian economy. The methods used are a comprehensive literature research, methods of
analysis, synthesis and comparison method, as well as methods of collecting secondary sources of
research. The aim of the paper is to point out the importance of developing multimodal transportation
as a significant factor for economy development as well as contribution to raising awareness of this
problem
Decision of Multimodal Transportation Scheme Based on Swarm Intelligence
In this paper, some basic concepts of multimodal transportation and swarm intelligence were described and reviewed and analyzed related literatures of multimodal transportation scheme decision and swarm intelligence methods application areas. Then, this paper established a multimodal transportation scheme decision optimization mathematical model based on transportation costs, transportation time, and transportation risks, explained relevant parameters and the constraints of the model in detail, and used the weight coefficient to transform the multiobjective optimization problems into a single objective optimization transportation scheme decision problem. Then, this paper is proposed by combining particle swarm optimization algorithm and ant colony algorithm (PSACO) to solve the combinatorial optimization problem of multimodal transportation scheme decision for the first time; this algorithm effectively combines the advantages of particle swarm optimization algorithm and ant colony algorithm. The solution shows that the PSACO algorithm has two algorithms’ advantages and makes up their own problems; PSACO algorithm is better than ant colony algorithm in time efficiency and its accuracy is better than that of the particle swarm optimization algorithm, which is proved to be an effective heuristic algorithm to solve the problem about multimodal transportation scheme decision, and it can provide economical, reasonable, and safe transportation plan reference for the transportation decision makers
Integrated Multimodal Transportation Dashboard
Na área dos sistemas de transportes atualmente existem vários sistemas inteligentes que permitem a monitorização, controlo e outras funções relevantes para um dado tipo de transportes. Entretanto, o tratamento individualizado dos diferentes modos, não favorece a geração de políticas e mecanismos integrados de gestão de transporte multimodal; são pouquíssimas as soluções que juntam diferentes tipos de transportes numa só aplicação. Surgiu, portanto, a necessidade dum painel de monitorização multimodal, que permitirá unir vários tipos de sistemas de transportes e fornecerá a visão geral para a observação se todos os sistemas estão funcionais e operantes a um nível de serviço aceitável. Uma vez que tais sistemas fornecem serviços e dados de alcance diferente e com os níveis de qualidade e detalhes variáveis, a detecção de funcionamento abnormal dum sistema é um desafio que requer a identificação, aplicação, adaptação ou criação de métricas de funcionamento normal para cada sistema de transportes, tendo como base os dados fornecidos por protocolos utilizados por ITSs integrados na solução. Este problema é abordado por projeto "Integrated Multimodal Transportation Dashboard" ou Painel Integrado de Monitorização de Transportes Multimodais em Portugues que tem como objetivo a elaboração dum protótipo funcional de uma ferramenta para a monitorização de transportes multimodais.At present time there exist various intelligent systems in Transportation area that permit monitoring, control and other relevant functionalities for a given transport means. However, individual solutions for different transport means don't favor multimodal transport management; there are a very few solutions that combine different transport types in one application. Therefore, a need for a multimodal supervision dashboard arouse - a dashboard that would permit to combine transportation systems of different types and that would provide a comprehensive view in order to observe whether all the systems are functional and operating at an acceptable Level of Service (LOS). Since these systems supply services and data of different scope and varied detail and quality levels, the detection of an abnormal functioning of a certain transportation system is a challenge. It requires identification, application, adaptation or creation of metrics for each transportation system functioning. The metrics should be based on the data supplied by the protocols used by the ITSs integrated in the solution. This problem is addressed by the project "Integrated Multimodal Transportation Dashboard" and has as an aim the elaboration of a functional prototype of a tool for the monitoring of multimodal transports
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Integrating Shared Mobility Services with Transit Could Produce Economic and Environmental Benefits
This research brief summarizes the findings from the associated study, which examined the potential to improve transportation system efficiency by reevaluating and redefining the role of public transit and its design principles in the new context of technology and shared mobility. Specifically, it evaluated the financial feasibility of an integrative, multimodal transportation system where public and private mobility services coexist to maximize economic and environmental benefits and free up public transit resources to be reallocated more efficiently
Picture Rocks multimodal transportation study
The result of an application to the Arizona Department of Transportation Planning Assistance for Rural Areas (PARA) Program to conduct a multimodal transportation study to address transportation issues in the community. The purpose of the study is to identify the most critical multimodal transportation infrastructure and service needs within the Picture Rocks study area and recommend a program of short-range (0-5 years), mid-range (6-10 years), and long-range (11-20 years)
improvements
Doctor of Philosophy
dissertationThe interest in multimodal transportation improvements is increasing in cities across the U.S. Investing in multimodal infrastructure benefits the portion of urban population that is unable to drive due to a variety of reasons such as personal preference, age, and affordability. It is also well known that active transportation such as walking, biking, and taking transit, can improve public health due to increased physical activity, and reduce traffic congestion by reducing the average person's delay. While improved multimodal infrastructure and accessibility attracts new users, it can possibly increase their exposure to risk from crashes. In urban areas where the "safety in numbers phenomenon" does not exist, nonmotorized user vulnerability becomes a predominant risk factor when they are involved in a crash, even at lower vehicle speeds. This dissertation aims to explore the factors that are associated with safety outcomes in urban multimodal transportation systems, and develop methods that can be used to estimate safety effects of multimodal infrastructure and accessibility improvements. Using Chicago as a case study, a comprehensive dataset is developed that significantly contributes to the existing literature by including socio-economic, land use, road network, travel demand, and crash data. Area-wide analysis on the census tract level provides a broader perspective about safety issues that multimodal users encounter in cities. The characteristics of a multimodal transportation system are expressed through the presence of multimodal infrastructure, street connectivity and network completeness, and accessibility to destinations for multimodal users. A set of statistical areal safety models (SASM) based on both frequentist and Bayesian statistical inference is applied to estimate the factors that are associated with total and severe vehicular, pedestrian, and bicyclist crashes in urban multimodal transportation systems. The results show that the current safety evaluation methods need to acknowledge the complexity of multimodal transportation systems through the inclusion of diverse factors that may influence safety outcomes, particularly for more vulnerable users. The methods developed in this research can further be used to expand the current practice of evaluating multimodal transportation safety, and planning for city-wide investments in multimodal infrastructure and improved accessibility, while being able to estimate the expected safety outcomes
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