An equitable spatial strategy for urban green space based on reconciling growing and shrinking neighbourhoods at the parcel level

在地块尺度协调增长与收缩社区的城市绿地空间公平策略

Providing universal access to urban green spaces is a critical objective for cities worldwide in achieving Sustainable Development Goals. However, shifts in urban population distribution can lead to dynamic inequities, particularly during the periods of urban growth and shrinkage. This study proposed a spatial strategy to address dynamic urban green space inequity, considering the coexistence of growing and shrinking neighbourhoods within a city.

为城市居民提供普遍可达的绿色空间,是全球各城市实现可持续发展目标的核心任务。然而,城市人口分布的变动可能引发动态不平等问题,尤其在城市扩张与收缩阶段更为显著。本研究提出了一种空间策略,旨在应对动态变化的城市绿地不平等现象,同时兼顾城市内部人口增长与收缩型社区并存的现实格局。

A research framework is presented based on the nexus of transport-population-land. Using Wuhan, China, as a case study area, we first identified the spatio-temporal patterns of growing and shrinking neighbourhoods between 2015 and 2020. This analysis revealed a dynamic inequity and a spatio-temporal mismatch between urban green space per capita and population densities driven by population dynamics. We then examined the relationship between transport locations and population dynamics amongst neighbourhoods. This nexus was confirmed and utilised to propose a transport-oriented spatial strategy and a new space standard for reallocating green spaces at the parcel level.

本研究提出了一种基于交通-人口-土地关联的研究框架。以中国武汉市为案例研究区域,我们首先识别了2015至2020年间城市社区增长与收缩的时空格局。该分析揭示了由人口动态产生的人均城市绿地与人口密度之间存在的动态不平等及时空错配现象。随后,我们探究和验证了交通区位与社区人口动态的关联,并据此提出交通导向的空间策略和地块尺度绿地再配置的新空间标准。

The conceptual framework based on the nexus of transport-population-land. 基于交通-人口-土地关联的概念框架.

The study highlights the importance of demand-oriented equitable green space planning to address the dynamic inequities that follows rapid urbanisation.

该研究强调了以需求为导向的公平绿地规划对于应对快速城市化带来的动态不平等问题的重要性。

The spatial strategy for green space equity based on reconciling growing and shrinking neighbourhoods. 协调增长与收缩社区以实现绿地公平的空间策略。
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Enclave-reinforced inequality during the COVID-19 pandemic: Evidence from university campus lockdowns in Wuhan, China

The COVID-19 pandemic has impacted urban life and created spatial and social inequalities in cities. The impacts of lifting full lockdown restrictions once fast-spreading and community-acquired infection waves were under control are still not fully understood.

Two phases shape the new inequality during the pandemic.

This study aims to explore spatial inequality reinforced in the intervals between the waves of infection during the COVID-19 pandemic. Enclave-reinforced inequality resulting from enclave-based lockdown policies in Chinese cities was investigated through an analysis of the impacts of university campus enclave closures on the accessibility and crowdedness of urban green spaces. Using a modified two-step floating catchment area (2SFCA) and inversed 2SFCA (i2SFCA) method, accessibility and crowdedness were calculated and compared under two different scenarios. Additionally, the Lorenz curve, Gini coefficient, and Theil index were used to measure and compare intra-city global and local inequalities under each scenario.

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The analysis of low-income people’s park green space accessibility based on 2SFCA in Wuhan

City park green space provide a free stage for low-income people who have low shopping and entertainment facilities consumption ability to rest, communicate and play, satisfying people’s spiritual and cultural needs.

Treating Wuhan city park green space as the research object, the paper uses the 2-Step Floating Catchment Area (2SFCA) to calculate the park green space accessibility based on walking, bicycle, and public transport. The Pearson correlation coefficient and Lorenz curve and the method of location entropy are used to analyze the matching degree and spatial matching pattern between park green space and low-income population spatial distribution.

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