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Activity-based Travel Demand Modeling in Rural Areas; Case Study of Villages Near City in Fars Province

Asgari, Hamid Reza | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 40274 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Vaziri, Manouchehr
  7. Abstract:
  8. Recently, developing countries have faced fundamental problems due to the ignorance of rural areas and their deficiencies. These problems could be summarized in extended immigration to nearby cities and an outstanding decrease in agriculture and animal husbandry. Such problems have forced the governments to take on new attitudes towards the expansion rural facilities. In this regard, Transportation can be viewed as an index of development. The following research is aimed to estimate travel demand in rural areas with a newly promoted method, named as “Activity- based Demand Modeling”. Unlike trip based models, Activity- based procedures focus on recognition of daily activity patterns and their effects on trip chain generation. The first step, was to have a short review over Activity- based Demand Theory and its application in developed countries. Among various modeling structures applied in Europe and the United states, and considering the existing restrictions, The Boston model in 1995 was chosen as a simple and efficient methodology in our country. In this model, daily activities are assumed to result from 5 consecutive decision making procedures: 1) Daily activity pattern; consisting of a primary activity, primary tour type and number of secondary tours, 2) Primary tour time of day choice models, 3) Primary mode choice, 4) Secondary tour time of day choice, and 5) Secondary mode choice. The distance between the village and the nearby city was known as an important factor in its transportational behavior. Therefore, 5 villages located near Shiraz in Fars province were randomly chosen. A unique questionnaire was designed to obtain necessary information from the sample and a Time Use survey was carried out through secondary school students in May 2007. The databank was established using Microsoft Excel software. Different statistical investigations such as univariate and multivariate analyses were done over the sample, which resulted in helpful cross classifications of the data. 3 decision making structures, namely sequential, nested and joint procedures were investigated and related Logit models were built in each section. The research resulted in the identification of main activity patterns, decision making procedures and trip chain characteristics in rural areas.

  9. Keywords:
  10. Travel Demand Estimation ; Rural Transport ; Discrete Choice Model ; Fars (Province) ; Activity-Based Demand Modeling ; Daily Activity Pattern ; Trip Chain

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