Characteristics and user demands of urban farms: A case study on the “Machinaka Saien” in-town farm

Kono, Michihito; Fujita, Naoko

doi:10.5632/jila.77.433

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…Our study found that some wards in central Tokyo also create "farming" spaces for citizens. One AG run by the municipal authority was opened in a children's park [118], and private enterprises developed AGs on rooftops [119]. However, these practical projects are scarce in Tokyo and require flexible urban regulations that empower local governments to identify suitable sites and propose land use plans.…”

Section: Towards Solutions From Practical Experiencementioning

confidence: 99%

Provision of Allotment Gardens and Its Influencing Factors: A Case Study of Tokyo, Japan

Hua

Akita

Araki

et al. 2022

Land

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Allotment gardens (AGs) are widely used in metropolitan areas around the world to offer agricultural opportunities to urban residents. However, there are not enough individual plots for residents to rent for urban gardening, and research on AGs from a city-wide perspective is ongoing. In addition, AGs have a long history in Tokyo, yet few international studies on the current situation of AGs have addressed Asian cities. Thus, this study intends to analyze the provision of AGs and its influencing factors in Tokyo. Using ArcGIS combined the 472-points dataset created by geo-coordinate mapping with urban GIS data to reveal spatial characteristics in four dimensions. Results demonstrate that most AGs are in the urbanization promotion area; most municipalities have AGs; AGs are concentrated within 20 to 30 km from the center of Tokyo; the AGs’ clusters are located at the municipal boundaries. We conducted multiple regressions to determine the influencing factors at the municipal level, with the provision that AGs are related to population density, land price, and the ratio of productive green space. The policy implication of this study is that policymakers need to consider the siting strategy of AGs based on spatial characteristics of AGs.

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Section: Towards Solutions From Practical Experiencementioning

confidence: 99%