Inferring travel patterns and the attractiveness of touristic areas based on fusing Wi-Fi sensing data and GPS traces with a Kyoto Case study
Y Gao, JD Schmöcker - Transportation Research Part C: Emerging …, 2024 - Elsevier
We establish a methodology that fuses point data with trajectory data leading to trip chains
that reflect whether a person has visited key locations. In our study the point data are Wi-Fi …
that reflect whether a person has visited key locations. In our study the point data are Wi-Fi …
Estimation of walking patterns in a touristic area with Wi-Fi packet sensors
Y Gao, JD Schmöcker - Transportation research part C: emerging …, 2021 - Elsevier
We propose a methodology for using the records from Wi-Fi packet sensors to model route
choice and time spent at different locations within a tourist area. In contrast to other route …
choice and time spent at different locations within a tourist area. In contrast to other route …
[PDF][PDF] Estimation of Tourist Travel Patterns with Recursive Logit Models based on Wi-Fi Data with Kyoto City Case Study
Y Gao - 2021 - repository.kulib.kyoto-u.ac.jp
Estimating traffic flows is the foundation of solving related problems in transportation.
However, there are limited methods to do so economically and without invading privacy. In …
However, there are limited methods to do so economically and without invading privacy. In …
Tourist excursion model considering trip chain choice and duration of stay
R Tani, H Shimizu, K Uchida, D Fukuda - Asian Transport Studies, 2024 - Elsevier
This study proposes two tourist excursion behavior models. One is the trip chain-based
model, in which the tourist behavior is represented by a trip chain and the duration of stay at …
model, in which the tourist behavior is represented by a trip chain and the duration of stay at …