A framework that integrates qualitative and quantitative data analysis methodologies of trip-chaining behavior research was developed. The proposed qualitative methods include analysis of descriptive statistics and visual analysis of space-time prisms. The results of the qualitative analysis help in the quantitative modeling process. The proposed integrated qualitative and quantitative framework incorporates both logit models and hazard duration models as quantitative analysis tools. Qualitative examples, what was learned from them, and how the qualitative data affect the quantitative methodology are described. The qualitative examples show that aggregate and individual trip-chaining behaviors are not easy to model. Integration of the results from both qualitative and quantitative methods lead to a better understanding of how people make their trip-chaining and travel behavior decisions.