The purpose of person trip survey is to collect data of trip chains, which are defined as sequences of OD (Origin-Destination) pairs. Traditionally, the person trip survey has been conducted by home-based sampling, in which samples of trip makers are drawn at random at their home. While it can be said a reliable method, the home-based person trip survey takes quite expensive cost.
With this defect in mind, Saito, Nakashima, and Kakoi (2001) first have shown that there exists a consistent method to estimate OD pattern from on-site person trip survey, which drastically reduces implementation cost. Since the purpose of their paper is to show that their method is consistent, they have provided a simple numerical example only. They left various topics toward actual implementation as further research themes.
The purpose of this study is to demonstrate the effectiveness of their estimation method with actual data. More specifically, we have collected consumer's shop-around data by interviewing visitors at Daimyo district, which is the hottest spot for young generation at the city center of Fukuoka City. Since consumer's shop-around is equivalent to consumer's trip chaining behavior, consumer's shop-around data collected at city center is simply seen as the data from an on-site person trip survey. Similarly, consumer's shop-around pattern at Daimyo district can be seen as an OD pattern for shoppers. With applying our consistent estimation method to consumer's shop-around data at Daimyo district, we have estimated the OD (shop-around) pattern. We also have demonstrated the effectiveness of our consistent method by comparing the estimated OD pattern with actual pedestrian flows data collected elsewhere.
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