Victoria Chanse

Natural disasters can severely disrupt food access and availability in the short term and undermine food system stability in the long term. In response, there is growing global attention to building more resilient food systems, including through localised food production. Urban agriculture (UA), as an integral part of local food systems, has historically played a role in responding to crises and disasters. However, many cities lack comprehensive planning for food systems in post-disaster contexts, particularly regarding the integration of UA into disaster preparedness and urban planning frameworks. Using Wellington City, New Zealand, as a case study, this paper examines how post-disaster food security and UA are addressed within existing policy frameworks, identifying policy gaps and opportunities for strengthening urban food resilience. A strategic scan of policy documents across three domains—food systems, disaster preparedness, and UA—was conducted. Findings indicate that Wellington's existing food system and disaster preparedness policy frameworks do not adequately address post-disaster food security. Disaster planning does not adequately recognise the need to address food security, and the potential role of UA as a strategy for post-disaster food resilience remains underdeveloped and only partially acknowledged within existing policy documents. Based on these findings, this study proposes policy pathways for Wellington, including strengthening UA governance and more systematically integrating UA into disaster preparedness, food system policies, and urban planning frameworks. The findings highlight the potential role of cross-sectoral policy integration in strengthening urban food resilience, with implications for other disaster-prone cities.

Urban green spaces are increasingly recognized as cooling infrastructure for climate resilience, environmental health, and spatial equity. However, their planning value depends not only on where green spaces are located but also on whether cooling supply is translated into lower thermal pressure and aligned with heat-sensitive demand. This study examines blue–green–gray infrastructure cooling supply, thermal regulation, human-relevant thermal pressure, and supply–demand mismatch across 1385 census tracts in Maryland, USA. An Infrastructure Cooling Supply Index (ICSI) was constructed from green, blue, and gray infrastructure components and evaluated against maximum land surface temperature (LSTmax), Heat Index, extreme heat days, and a Human-Relevant Thermal Pressure Index (HTPI) integrating ambient heat intensity and recurrent extreme heat exposure. Explainable machine learning was used to identify the relative contributions of individual infrastructure components, and cooling supply was compared with socially differentiated heat-sensitive demand. The results show that higher ICSI is significantly associated with lower LSTmax, Heat Index, and HTPI. The association was strongest for surface thermal conditions, remained significant for Heat Index and integrated human-relevant thermal pressure, and was comparatively weaker for recurrent extreme heat days, indicating that infrastructure cooling supply affects thermal outcomes through distinct pathways. Cooling supply was also spatially uneven, with stronger provision generally associated with greater vegetation and tree-canopy coverage, higher park provision, larger water-area proportions, and lower gray-infrastructure pressure. Explainable GeoAI results identify impervious cover, tree canopy, water-area proportion, road density, and park provision as the principal contributors to tract-level thermal pressure. The mismatch analysis identifies 433 census tracts, or 31.3% of all Maryland tracts, as low-supply–high-demand priority areas. These tracts reveal substantial spatial convergence among elevated heat-sensitive demand, insufficient cooling infrastructure, and persistent thermal pressure. This study provides a tract-level approach for targeting cooling interventions where thermal pressure, vulnerability, and infrastructure deficits converge.

Urban green spaces are increasingly recognized as multifunctional cooling infrastructure for climate resilience, environmental health, and spatial equity. However, the potential contributions of green spaces depends not only on their location, but also on whether their cooling benefits are realized and aligned with heat-sensitive demand. This study develops a spatially explicit cooling-service framework to examine green-space cooling supply, thermal regulation, human-relevant thermal pressure, and cooling-service mismatch across 1,385 census tracts in Maryland, USA. A Landscape Cooling Supply Index (LCSI) was constructed from vegetation coverage, tree canopy, park provision, water-area proportion, impervious surface, and road infrastructure indicators. Fixed-effects regression models were used to test associations between LCSI and multiple thermal outcomes, including land surface temperature, Heat Index, extreme hot days, and an integrated Human-Relevant Thermal Pressure Index (HTPI). XGBoost and SHAP were applied to identify nonlinear contributions of green, blue, and gray components to thermal pressure. A Heat-sensitive Cooling Demand Index was then developed to classify cooling supply-demand mismatch. Results show that stronger cooling supply is significantly associated with lower surface and human-relevant thermal pressure. Explainable GeoAI results identify overall vegetation coverage as the dominant green component, while water-area proportion and road-related gray infrastructure also play important roles. The mismatch analysis identifies 433 census tracts, or 31.3% of all Maryland tracts, as low-supply–high-demand priority areas. This study provides a tract-level framework for targeting green-space cooling interventions where climate exposure, environmental health vulnerability, and cooling-service inequity converge.

Wellington, New Zealand, is highly vulnerable to disaster-induced food security crises due to its geography and geological characteristics, which can disrupt transportation and isolate the city following disasters. Urban agriculture (UA) has been proposed as a potential alternative food source for post-disaster scenarios. This study examined the potential of urban agriculture for enhancing post-disaster food security by calculating vegetable self-sufficiency rates. Specifically, it evaluated the capacity of current Wellington’s community gardens to meet post-disaster vegetable demand in terms of both weight and nutrient content. Data collection employed mixed methods with questionnaires, on-site observations and mapping, and collecting high-resolution aerial imagery. Garden yields were estimated using self-reported data supported by literature benchmarks, while cultivated areas were quantified through on-site mapping and aerial imagery analysis. Six post-disaster food demand scenarios were used based on different target populations to develop an understanding of the range of potential produce yields. Weight-based results show that community gardens currently supply only 0.42% of the vegetable demand for residents living within a five-minute walk. This rate increased to 2.07% when specifically targeting only vulnerable populations, and up to 10.41% when focusing on gardeners’ own households. However, at the city-wide level, the current capacity of community gardens to provide enough produce to feed people remained limited. Nutrient-based self-sufficiency was lower than weight-based results; however, nutrient intake is particularly critical for vulnerable populations after disasters, underscoring the greater challenge of ensuring adequate nutrition through current urban food production. Beyond self-sufficiency, this study also addressed the role of UA in promoting food diversity and acceptability, as well as its social and psychological benefits based on the questionnaires and on-site observations. The findings indicate that community gardens contribute meaningfully to post-disaster food security for gardeners and nearby residents, particularly for vulnerable groups with elevated nutritional needs. Despite the current limited capacity of community gardens to provide enough produce to feed residents, findings suggest that Wellington could enhance post-disaster food self-reliance by diversifying UA types and optimizing land-use to increase food production during and after a disaster. Realizing this potential will require strategic interventions, including supportive policies, a conducive social environment, and diversification—such as the including private yards—all aimed at improving food access, availability, and nutritional quality during crises. The primary limitation of this study is the lack of comprehensive data on urban agriculture in Wellington and the wider New Zealand context. Addressing this data gap should be a key focus for future research to enable more robust assessments and evidence-based planning.

Wellington, New Zealand, is highly vulnerable to disaster-induced food security crises due to its geography and geological characteristics, which can disrupt transportation and isolate the city following disasters. Urban agriculture has been proposed as a potential alternative food source in post-disaster scenarios. This study examined the potential of urban agriculture for enhancing post-disaster food security by calculating vegetable self-sufficiency rates. Specifically, it evaluated the capacity of current Wellington’s community gardens to meet post-disaster vegetable demand in terms of both weight and nutrient content. Data collection involved a mixed methodology approach of literature reviews, questionnaires, on-site observations and mapping, and high-resolution aerial imagery. Post-disaster food demand scenarios were developed based on different target populations. Results show that within a five-minute walking distance of existing community gardens, weight-based vegetable self-sufficiency was only 0.42% for the general population. This rate increased to 2.07% when specifically targeting only vulnerable populations, and to 10.41% when focusing solely on gardeners’ own households. However, at the city-wide level, the current capacity of community gardens to meet vegetable demand remained limited. Additionally, nutrient-based self-sufficiency was lower than weight-based self-sufficiency, emphasizing the greater challenge of achieving adequate nutrient levels. Beyond self-sufficiency, this study also addressed the role of UA in promoting food diversity and acceptability, as well as its social and psychological benefits. Findings indicate that community gardens contribute meaningfully to post-disaster food security for gardeners and nearby residents, particularly for vulnerable groups with elevated nutritional needs. While current self-sufficiency levels are low when considering only community gardens, the study suggests that Wellington has the potential to improve post-disaster food self-reliance by diversifying UA types and optimizing land use. Realizing this potential will require strategic interventions, including supportive policies, a conducive social environment, and diversification—such as the including private yards—all aimed at improving food access, availability, and nutritional quality during crises.

Cities face growing challenges from climate change, including rising temperatures, extreme rainfall, and intensifying urban heat islands, resulting in significant socio-cultural costs. Urban areas are increasingly vulnerable to food insecurity during disasters, yet the potential of urban agriculture (UA) to address this challenge remains underexplored. This study focuses on Wellington, New Zealand (NZ), a region highly prone to earthquakes, to evaluate the role of UA in enhancing post-disaster food security. The study calculates vegetable self-sufficiency by mapping potential productive land, estimating vegetable yields, and assessing post-disaster food demands across multiple scenarios. Potential productive land was quantified using a reproducible GIS-based method, considering three soil-based UA types: private yards, communal gardens, and urban farms. Due to Wellington’s mountainous topography, slopes and aspects were used to select four land scenarios. Three yield scenarios were estimated using aggregated data from previous studies and cross-checked with local UA and NZ conventional farming data. Food demands were based on NZ’s recommended vegetable intake and three targeted population scenarios: the entire population, displaced populations, and vulnerable populations. Results indicate that potential productive land is primarily evenly distributed in the eastern part within the city boundary, accounting for 0.3% to 1.5% of the total area. Vegetable self-sufficient rates for Wellington through UA range from 3% to 75%, with higher rates for displaced and vulnerable populations. These figures significantly exceed the current self-sufficiency rate estimated in the authors’ preliminary research, indicating Wellington’s considerable potential to enhance post-disaster food security through expanding UA and promoting related initiatives. However, realizing this potential will require stronger policy support, integrating UA with urban planning and disaster preparedness.

Cities face growing challenges from climate change, including rising temperatures, extreme rainfall, and intensifying urban heat islands, resulting in significant socio-cultural costs. Urban areas are increasingly vulnerable to food insecurity during disasters, yet the potential of urban agriculture (UA) to address this challenge remains underexplored. This study focuses on Wellington, New Zealand (NZ), a region highly prone to earthquakes, to evaluate the role of UA in enhancing post-disaster food security. The study calculates vegetable self-sufficiency by mapping potential productive land, estimating vegetable yields, and assessing post-disaster food demands across multiple scenarios. Potential productive land was quantified using a reproducible GIS-based method, considering three soil-based UA types: private yards, communal gardens, and urban farms. Due to Wellington’s mountainous topography, slopes and aspects were used to select four land scenarios. Three yield scenarios were estimated using aggregated data from previous studies, cross-checked with local UA and NZ conventional farming data. Food demands were based on NZ's recommended vegetable intake and three targeted population scenarios: the entire population, displaced populations, and vulnerable populations. Results indicate that potential productive land is primarily evenly distributed in the eastern part within city boundary, accounting for 0.3% to 1.5% of the total area. Vegetable self-sufficient rates for Wellington through UA range from 3% to 75%, with higher rates for displaced and vulnerable populations. These figures significantly exceed the current self-sufficiency rate estimated in the authors' preliminary research, indicating Wellington's considerable potential to enhance post-disaster food security through expanding UA and promoting related initiatives. However, realizing this potential will require stronger policy support, integrating UA with urban planning and disaster preparedness.

Many cities are increasingly adopting blue-green infrastructure (BGI) to bolster their resilience against environmental challenges. Beyond its well-acknowledged environmental benefits, the role of BGI in enhancing social resilience is becoming an equally important area of focus. However, the integration of BGI in fostering social resilience presents complexities, stemming from the evolving and occasionally ambiguous definition of social resilience. Considering the broad application of BGI across various disciplines makes the evaluation of social resilience within a BGI framework complex. Consequently, a structured approach to develop a clear framework tailored to understanding and measuring social resilience in a BGI setting is needed. This study consolidates various existing frameworks of social resilience, especially utilizing the detailed 5S framework proposed by Saja et al. It integrates findings from an extensive review of literature on social resilience to develop a novel conceptual framework—the BGI Social Resilience Framework. This new framework specifically aims to capture the distinct social aspects and advantages associated with BGI. The BGI Social Resilience Framework is organized into a three-tier model, focusing on four critical aspects of social resilience—social values, social capital, social structure, and social equity—and explores how these aspects are interconnected. Characteristics and indicators are customized to accommodate the context of BGI in a way that integrates the physical and human dimensions within a comprehensive approach to measurement that uses a combination of qualitative and quantitative methods. Specifically, this research formulates a theoretical framework for BGI with the aim of investigating BGI strategies and viewpoints that bolster social resilience. The BGI Social Resilience Framework takes into account the varied demographics and the physical characteristics of urban areas to explore ways to create BGI spaces that are more inclusive and that contribute to the enhancement of social resilience.

Many cities are increasingly adopting blue-green infrastructure (BGI) to bolster resilience against environmental challenges. Beyond its well-acknowledged environmental benefits, the role of BGI in enhancing social resilience is becoming an equally important area of focus. However, the integration of BGI to foster social resilience presents complexities, stemming from the evolving and occasionally ambiguous definition of social resilience. Considering the broad application of BGI across various disciplines makes the evaluation of social resilience within a BGI framework complex. Consequently, a structured approach to develop a clear framework tailored to understanding and measuring social resilience in a BGI setting is needed. This study consolidates various existing frameworks of social resilience, especially utilizing the detailed 5S framework proposed by Saja et al. [1]. It integrates findings from an extensive review of literature on social resilience to develop a novel conceptual framework, the BGI Social Resilience Framework. This new framework specifically aims to capture the distinct social aspects and advantages associated with BGI. The BGI Social Resilience Framework is organized into a three-tier model focusing on four critical aspects of social resilience—social values, social capital, social structure, and social equity—and explores how these aspects are interconnected. Characteristics and indicators are customized to accomodate the BGI context in a way that integrates the physical and human dimensions within a comprehensive approach to measurement that uses a combination of qualitative and quantitative methods. Specifically, this research formulates a theoretical framework for BGI with the aim of investigating BGI strategies and viewpoints that bolster social resilience. The BGI Social Resilience Framework takes into account the varied demographics and the physical characteristics of urban areas to explore ways to create BGI spaces that are more inclusive and contribute to the enhancement of social resilience.