Residential land use with demographic dynamics of young and old generations

Kono, Tatsuhito; Kotoku, Toshiaki; Otazawa, Toshimori

doi:10.1016/j.jhe.2012.09.002

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Anas, 1978;Arnott, 1980;Braid, 2001;Brueckner, 1980Brueckner, , 1981Wheaton, 1982) incorporate the assumption of either a constant or an increasing population over time. 7 Although Kono et al (2012) tackle the case of a population decrease, the demand side still determines the rent -the housing supply is adjusted to the decreasing population.…”

Section: Introductionmentioning

confidence: 99%

Shrinking metropolitan area: Costly homeownership and slow spatial shrinkage

Suzuki

Asami

2017

Urban Studies

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With a simple model of land use and market arbitrage, this paper investigates the impact of population decline – when existing homeowners compete to attract a small number of new residents – on homeownership and land use. We show that, if a strictly positive cost is required for ownership abandonment, selling used houses is impossible in the periphery, while leasing is possible. We also show that only long-life-quality houses, which require a larger initial investment and sustain greater utility for longer than conventional ones, attract new residents to the periphery. Social welfare may decrease, because the government has to maintain the slowly shrinking, less densely inhabited urban area.

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Section: Introductionmentioning

confidence: 99%

Shrinking metropolitan area: Costly homeownership and slow spatial shrinkage

Suzuki

Asami

2017

Urban Studies

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Time Series Change Analysis of the Optimum Location Pattern of Facilities and Dwellings Focusing on Frequency in Use of Convenience Facilities That Changes With Age

Noguchi¹,

Yoshikawa²

2014

Transactions of AIJ

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This study analyzes the influence of frequency in the use of convenience facilities, which changes with age, on the location pattern of these facilities and dwellings, considering the difficulties in shifting their location. To this end, this study obtains the optimum location pattern using genetic algorithm. The results show that in the case of shrinking population without shift of dwellings, the facilities are sparsely located in short-time optimization or linearly located in long-term optimization, while the dwellings are located in the gradation patterns around the facilities. Also in the case of constant population, the facilities are sparsely located.

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