Towards a spatial planning framework for renaturing cities

Fabiano Lemes De Oliveira (Editor)

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

    Abstract

    This chapter presents a framework for the spatial planning of re-naturing cities. There is today a lively debate about re-naturing cities, since it can address multiple societal challenges and generate benefits such as the enhancement of health and wellbeing, sustainable urbanisation, ecosystems and their services and resilience to climate change. Yet, further consideration of the roles that positive spatial planning and planning models in particular have to play in fostering the integration of urbanization with nature is needed. This chapter, thus, focuses on representative models with such potential, including the grid, the linear, the concentric and the radial. Initially, it identifies major principles for the spatial re-naturing of cities. Secondly, it analyses the main characteristics of each of the four models, concentrating in particular on their suitability to deliver on the re-naturing principles discussed previously. The chapter then centres on how a hybrid approach can maximise the systemic integration of natural and urban systems. Finally, the conclusions offer insights into the potentialities of planning models in bridging the city-nature dichotomy and potential future directions of development.
    Original languageEnglish
    Title of host publicationPlanning Cities with Nature
    Subtitle of host publicationTheories, Strategies and Methods
    EditorsFabiano Lemes de Oliveira, Ian Mell
    PublisherSpringer
    Chapter6
    Pages81-95
    Number of pages15
    ISBN (Electronic)978-3-030-01866-5
    ISBN (Print)978-3-030-01865-8
    DOIs
    Publication statusPublished - 3 Feb 2019

    Publication series

    NameCities and Nature
    PublisherSpringer
    ISSN (Print)2520-8306

    Keywords

    • sustainable cities
    • sustainable urbanism
    • green infrastructure
    • planning models

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