Long-distance and daily travel demand: integration of various travel markets and modelling approaches (original) (raw)
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Modelling Long-Term Impacts on Travel Demand
PROCEEDINGS OF THE AET EUROPEAN TRANSPORT CONFERENCE, HELD 10-12 SEPTEMBER, 2001, HOMERTON COLLEGE, CAMBRIDGE, UK - CD-ROM, 2001
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Analysis of long-distance travel demand has become more relevant in recent times. The reason is the growing share of traffic induced by journeys related to remote activities, which are not part of daily life. In today’s mobile world, these journeys are responsible for almost 50 percent of the overall traffic. Consequently, there is a need of reliable long-distance travel forecasting tools. A potential tool is agent-based simulation. Due to the complex task of destination choice modelling, there are just few agent-based simulations available. This paper presents a continuous target-based simulation that simulates long-distance travel behavior for a long period of time. It is shown how destination choice and mode choice is modelled in this agent-based simulation. Destination and mode are chosen simultaneously along with activity type and activity duration. The presented approach uses a heuristic to reduce the choice set since the underlying multi-dimensional optimization problem is to...
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A Semi-Deterministic Approach for Modelling of Urban Travel Demand
Proceedings of the International Symposium for Next Generation Infrastructure, 2014
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The goal of this research was to develop a framework for a long-distance passenger travel demand model that can be used to build a national model for the United States, one based on exploring new ways to simulate behavior of long-distance passenger movements. This framework includes model specifications based on statistical analysis of available data, recommendations for data collection that facilitate the development of the national model, and a demonstration that the framework can be reasonably implemented. The objectives of the implementation phase were: (1) To produce a working model for the 2010 base year, including a national highway network and zone system, with multimodal travel times for rail, bus, and air modes, and a highway assignment; (2) To calibrate and validate this model against available national data sources; (3) To test this model and provide assurances that the calibrated and validated models produce reasonable results under a select set of policy scenarios; and...
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Procedia Computer Science, 2016
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