| Advanced OR and AI Methods in Transportation COLLECTING ACTIVITY-TRAVEL DIARY DATA BY MEANS OF A HAND-HELD COMPUTER-ASSISTED DATA COLLECTION TOOL (2008) | |||||||||||||
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| Activity- ased transportation models have set the standard for modelling travel demand for the last decade. It seems common practice nowadays to collect the data to estimate these activity- ased transportation models y means of activity diaries. This paper explores potential advantages and disadvantages that may occur in the collection of this type of data y means of a hand-held computer-assisted data collection tool. 1. Introduct on The demand for transport services is expected to grow considera ly as incomes rise, the trend toward ur anization continues and as the process of glo alization moves forward with expected increases in world trade and personal travel. In order to meet this rising demand and ecause governments cannot afford to allow transport constraints to have a negative impact on the future competitiveness of their products, considera le future long-term investments are indispensa le. In order to etter guide and su stantiate the decisions of transportation planners, the use of traffic and transportation models has een advocated y governments and y research communities. Since 1950, due to the rapid increase in car ownership and car use in the US and in Western Europe; several models of transport mode, route choice and destination were used y transportation planners. These models were necessary to predict travel demand in the long run and to support investment decisions in new road infrastructure which originated from this increased level of car use. In those days, travel was assumed to e the result of four su sequent decisions which were modelled separately. Within transportation literature these models are also referred to as four-step models. More recently, especially in the eighties and early nineties, several researchers... | |||||||||||||
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