A Study on the Effect of Investment in Road Infrastructures on the Population Concentration Into Tokyo

Hirata, Masahiro; Kawabata, Yuichiro; Fujii, Satoshi

doi:10.2208/jscejipm.75.i_967

Cited by 1 publication

(2 citation statements)

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“…It has been pointed out that the uneven distribution of amenities (living environment), including road infrastructure development, has caused the overconcentration of the population [1]. Another study showed that the number of hospital beds and the infrastructure development correlate with the influx of the population [34].…”

Section: Amenity Factorsmentioning

confidence: 99%

“…Correcting population concentration in large cities is an important issue in many countries. Japan has a heavily concentrated population in the Tokyo metropolitan area, the capital and coastal city of Japan, and its problems have been discussed concerning efficiency, urban traffic congestion, housing shortages, environmental pollution, disaster risk, and rural depopulation [1,2]. Therefore, the government has aimed to correct the overconcentration in Tokyo and promote the development of local areas through financial support, employment creation, etc., by implementing the national comprehensive development plan.…”

Section: Introductionmentioning

confidence: 99%

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Factors That Attract the Population: Empirical Research by Multiple Regression Analysis Using Data by Prefecture in Japan

Kokubun

2022

Sustainability

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The development of the local economy and correcting the concentration in the capital city have long been the target for many countries. Furthermore, in the wake of the recent COVID-19 pandemic, the momentum for rural migration has been increasing to prevent the risk of infection with the help of the rise of remote work. However, there is not enough debate about what kind of land will attract the population. Therefore, in this paper, we performed correlation and multiple regression analyses, with the inflow rate and the net inflow rate of the population as the dependent variables, using the average values of government statistics for each prefecture in 2010 and 2017. As a result of the analyses, in addition to economic factor variables, variables of climatic, amenity, and human factors correlated with the inflow rate, and it was shown that the model had the greatest explanatory power when multiple factors had been used in addition to specific factors. It indicated that local prefectures were required to take regional promotion measures focusing not only on economic factors but also on multifaceted factors to attract the outside population. In addition, when the dependent variable was replaced with the 2020 population inflow rate, the model in which human factors were used as the independent variable showed the largest improvement in explanatory power. Therefore, it was shown that human factors have become more important in attracting people during the COVID-19 pandemic.

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Section: Amenity Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%