Analyses on Stopping-off Points and Destination Selection of Nagoya CBD Visitors by applying Spatial-Temporal Position Data

Matsumoto, Yoshimasa and Kaneda, Toshiyuki (2022) Analyses on Stopping-off Points and Destination Selection of Nagoya CBD Visitors by applying Spatial-Temporal Position Data. Mobility, Knowledge and Innovation Hubs in Urban and Regional Development. Proceedings of REAL CORP 2022, 27th International Conference on Urban Development, Regional Planning and Information Society. pp. 61-68. ISSN 2521-3938

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Abstract

In recent years, GPS(Global Positioning System) data and various other data have been provided as information on people's shopping-around behaviors within CBD(Central Business District), allowing people's shopping-around behaviors to be obtained in more detail. In addition to conventional person-trip surveys, these data have the potential to reveal new aspects of people's shopping-around behaviors. Furthermore, through the restaurant API(Application Programming Interface), by combining spatialtemporal position data with restaurant data, it will be possible to clarify people's district visitation factors and downtown selection behavior. In this study, We defined a 5-minute stop in the area as a stopping off points in the spatial-temporal position data, and aimed to clarify the factors of stopping off points in the Nagoya CBD area by latent factor analysis of PLS(Partial Least Squares) regression, and to estimate individual destination selection behavior by multinomial logistic analysis. The results of the latent factor analysis of the PLS regression revealed that the regression coefficients were high for the number and type of restaurants in the 0-12 time period, but high for entertainment facilities in the 12-18 and 18-24 time periods. Furthermore, multinomial logistic analysis revealed a trade-off between proximity of 3 meters and the utility obtained from one restaurant.

Item Type:	Article
Uncontrolled Keywords:	Shopping-around behaviour, Stopping-off point, Spatial-Temporal Position Data, Urban analysis, Big data
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GB Physical geography
Depositing User:	The CORP Team
Date Deposited:	10 Nov 2022 18:18
Last Modified:	18 Dec 2022 14:09
URI:	http://repository.corp.at/id/eprint/905

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