ACTIVITY-BASED MODELING FRAMEWORK FOR TRAVEL DEMAND AND BEHAVIOUR

Hazael Brown

Abstract


In all developed and developing countries of the world, the government transportation’s policies aimed at controlling aggregate phenomena such as congestion, emissions and land use patterns. These are achieved through the provision of employer- based commute programs, single occupant vehicle regulation, road pricing, multimodal facilities and transit oriented land development. But these policies affect the aggregate phenomen indirectly through the behaviour of individuals. Furthermore, individuals adjust their behaviour in complex ways, motivated by a desire to achieve their activity objectives. This paper examines the activity based modeling framework for travel demand and behaviour, the concepts underlying the methods and modeling approaches. Finally, it identified three classes of model systems, which are econometric model systems, hybrid simulation systems and the theory of planned behaviour model, and also look at some examples in each class, considering how they work, and their particular strengths and weaknesses, and above all, looking at the big picture.

 

Article visualizations:

Hit counter

DOI

Keywords


activity-based, modeling framework, travel demand, models, systems, econometric, hybrid simulation, theory planned

Full Text:

PDF

References


Ajzen, I. and Fishbein, M. (1985). Understanding Attitudes and Predicting Social Behaviour. New Jersey,

Ben-Akiva. M. and Lerman. S. R. (1985). Discrete Choice Analysis. Theory and Application to Travel Demand,

Ben-Akiva, M. E. and Bowman, J. L. (1995). Activity Based Disaggregate Travel Demand Model system with Daily Activity Schedules Transportation Research B (pending).

Ben-Akiva, M. E., Bowman, M. J. and Gopinath, D. (1996). Travel Demand Model System. For the Information Era. Transportation publication pending,

Brown. H, et al (2003). The potential impacts of LUAS on travel behaviour. Calgary, Canada. EMME/2 Conference Publication.

Brown. H, et al (2017). The potential impacts of LUAS (Dublin Light Rail System) on travel behaviour. European Journal of Social Sciences Studies (Vol. 2, Issue 1). DOI: 10.5281/zenodo.291856.

Brown. H., (2017). The potential impacts of LUAS on travel behaviour. European Journal of Social Sciences Studies (Vol. 2, Issue 7. app. 241-252). DOI: 10.5281/zenodo.999988.

Brown. H., (2017). Activity based analysis of travel demand and behaviour. European Journal of Social Sciences Studies (Vol. 2, Issue 7. app. 229-240). DOI: 10.5281/zenodo.1000005.

Brown. H, et al (2004). Activity-Based Modeling of Travel Demand and Behaviour. International Conference on Transportation Systems Planning and Operation. IIT, Madras. Chennai. India. 18-20 February, pp. 397-406.

Chapin, F. S. (1974). Human Activity Patterns in the City. Things People Do in Time and Space. New York, Wiley,

Hagerstrand, T. (1971). What about People in Regional Science? Papers of the Regional Science Association, Activity Scheduling and the Analysis of Activity Patterns, Eindhoven, May 25-28, pp. 7-22.

Ruiter, E. R. and Ben-Akiva, M. E. (1978). Disaggregate Travel Demand Models for the San Francisco Bay Area. Transportation Research Record 673: pp. 120-129.

Recker, W. W., McNally, M. G. and Root, G. S. (1986). A Model of Complex Travel Behavior: Part II-An Operational Model. Transportation Research A, 20A (4), pp. 318-331.




Copyright (c) 2018 Hazael Brown

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The research works published in this journal are free to be accessed. They can be shared (copied and redistributed in any medium or format) and\or adapted (remixed, transformed, and built upon the material for any purpose, commercially and\or not commercially) under the following terms: attribution (appropriate credit must be given indicating original authors, research work name and publication name mentioning if changes were made) and without adding additional restrictions (without restricting others from doing anything the actual license permits). Authors retain the full copyright of their published research works and cannot revoke these freedoms as long as the license terms are followed.

Copyright © 2015 - 2018. European Journal Of Social Sciences Studies (ISSN 2501-8590) is a registered trademark of Open Access Publishing Group. All rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library. All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All the research works published on this journal are meeting the Open Access Publishing requirements and standards formulated by Budapest Open Access Initiative (2002), the Bethesda Statement on Open Access Publishing (2003) and  Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities (2003) and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License. Copyrights of the published research works are retained by authors.


 

Hit counter