Analysis of the relationship between recognition of the names of streets and rents as well as land prices based on the correlation with the numbers of pedestrians

Abstract

This study aimed to analyze the relationship between recognition of the names of streets and rents as well as land prices. To this end, this article conducted an empirical research in Tenjin and Hakata districts in Fukuoka city, Omiya and Urawa districts in Saitama city, Hamamatsu city, Kumamoto city and Takamatsu city. The article used the numbers of hits by Google and Twitter as indicators for the recognition, analyzed its correlation with the numbers of the pedestrians, and conducted a multiple regression analysis of the rents and land prices. The explanatory valuables consisted of the recognition, characters of buildings, locations, shapes of the streets and the numbers of the pedestrians. The result showed that the rent was associated with the characters of the building, and the land price with the recognition.