Objective
Much has been studied and written about factors that influence travel behavior and traffic in cities. However, previous research has failed to consider the impact on a city' s traffic when it experiences rapid and extensive changes in the size and structure of its population. Many of today' s European regions are facing such changes. Thus, this study focuses on the impact of demographic changes on travel behavior and traffic in cities. Populations and places change, and as they do the amount and mode of city traffic generated changes accordingly. "City traffic" is defined as the daily demand by all of a city's inhabitants for travel between two or more points. It is widely recognized that this demand is not constant over time. It is also true that different segments of the population make different sorts of trip. For example, a 10-year-old boy does not have the same transit modes available to him as does his mother. She may drive more often, while he rides a bicycle to his favorite destinations. Previous studies have identified many of these age specific travel behaviours^1. This study builds on these previous findings by considering age specific travel behavior In the context of the entire demographic profile. It describes how changes in the demographic profile will impact city traffic. In other words, city traffic is the cumulative result of all the age groups' specific travel behaviors. When the size and proportion of the different age groups changes, so does the city's traffic. The size and structure of a population depends on factors such as migration, mortality and births. These factors are, in turn, influenced by elements such as culture and the economy. For planners and politicians interested in guiding future traffic developments, it is important to consider how these factors will influence the demographic profile, and then apply those results to models for predicting future traffic. This study offers such model scenarios by incorporating t
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
09376 OELSNITZ
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.