During times of stress and social pressure, urban green space provides social, cultural, and economic resources that help individuals and communities cope. Green space accessibility is, therefore, an important indicator related to people’s health and welfare. However, green space accessibility is not even throughout urban areas, with some areas better served with green space than others. Green space patterning is, therefore, a major environmental justice challenge. This research uses GIS approaches to analyze and understand urban green space access of urban communities in the Australian metropolitan areas of Adelaide, Melbourne, Sydney, and Brisbane. We calculate indicators to describe green space access in relation to different green space patterns within different metropolitan zones, including the inner urban, suburban, and peri urban. We use the best available open data from the Australian census of 2017 to calculate green space accessibility. Our results describe the relationship between population density and green space distribution and patterning in the four metropolitan areas. We find that even cities which are generally thought of as liveable have considerable environmental justice challenges and inequity and must improve green space access to address environmental inequity. We also find that a range type of measures can be used to better understand green space accessibility. Accessibility varies greatly both within metropolitan areas and also from city to city. Through improving our understanding of the green space accessibility characteristics of Australian metropolitan areas, the result of this study supports the future planning of more just and equal green cities.

In recent years, the subject of Indigenous peoples and global climate change adaptation has become a rapidly growing area of international study. Despite this trend, Taiwan, home to many Indigenous communities, has received relatively little attention. To date, no comprehensive review of the literature on Taiwan’s Indigenous peoples and global climate change has been conducted. Therefore, this article presents a bibliometric analysis and literature review of both domestic and international studies on Taiwan’s Indigenous peoples in relation to resilience, climate change, and climate shocks in the 10-year period after Typhoon Morakot (2009). We identified 111 domestic and international peer-reviewed articles and analyzed their presentation of the current state of knowledge, geographical and temporal characteristics, and Indigenous representation. Most studies were discovered to focus on post-disaster recovery, particularly within the context of Typhoon Morakot, as well as Indigenous cultures, ecological wisdom, and community development. This study also discovered relatively few studies investigating how traditional ecological knowledge systems can be integrated into climate change adaptation. Most studies also adopted a somewhat narrow focus on Indigenous resilience. Large-scale quantitative and longitudinal studies are found to be in their infancy. We observed a geographical skewness among the studies in favor of southern Taiwan and relatively limited engagement with contemporary studies on Indigenous peoples and climate change. We furthermore determined a large overlap between the destruction path of Morakot and study sites in the articles. Indigenous scholars have managed to find a voice among domestic and international outlets, and an increasing number of scholars have argued for more culturally sensitive approaches to post-disaster recovery and disaster management in Taiwan.

Many Indigenous peoples are disproportionately affected by global climate change. Current research is focused on how Indigenous adaptation and mitigation strategies can be integrated into mainstream climate change adaptation and mitigation strategies. Through a mixed-methods approach, this study explored the effects of culture and local perceptions on coping strategies and adaptations to climate change among Indigenous communities, of which knowledge is inadequate, with a specific focus on two Indigenous Tayal communities in northern Taiwan (N = 101). From our findings, we developed a typology based on a polychoric factor analysis, which includes four key aspects: commercialized response; experience and anticipation; culture, preparedness and recovery; and external support and institutions. The typology shows that cultural practices and perceptions profoundly shape how Indigenous households respond to climate-related disasters and should therefore be incorporated more comprehensively into climate change adaptation and mitigation policy. Our findings reflect a nuanced understanding of Indigenous peoples’ complicated relationship with global climate change. The proposed typology could be used as a theoretical and/or policy-oriented framework to advance an agenda for strengthening Indigenous livelihood resilience to global climate change.

The COVID-19 pandemic has dramatically impacted our daily lives worldwide. For instance, pandemic-prevention policies restrict people’s mobility, which causes problems in accessing urban greenspaces. Indeed, unequal access to urban greenspace has been accentuated during the most stringent lockdowns of 2020 and 2021. Amid such challenging circumstances, there has been a growing attention placed on Sustainable Development Goal (SDG) 11.7, which has brought opportunities for urgent action. In this paper, we applied the Gini coefficient to our analysis of unequal access to urban greenspaces across all urban planning areas in six special municipalities in Taiwan. Moreover, we also conducted comparative analyses between the Gini coefficient and other socio-economic factors. The results show that approximately 63.98% of the urban planning area suffers from unequal access to greenspaces. In addition, urban greenspace provision and household income show significant positive correlations with the Gini coefficient, which reflects Taiwan’s environmental injustice. Furthermore, these findings can help city planners and decision-makers evaluate levels of equality in each urban planning area and decide which priority areas should be improved. Finally, this study can also be used as a reference for decision-makers to realise SDG 11.7 in the post-pandemic era.

Co‐working spaces have emerged as cost‐effective office space management solutions for workers from diverse industries who share space, which generates cost savings and facilitates networking opportunities. Past studies have mainly focused on needs for and benefits of co‐working spaces and range in emphasis from design preferences to potential social and economic impacts. However, limited attention has been given to the temporal clustering and geographical distribution patterns of co‐working spaces. This study examines the spatial distribution patterns of co‐working spaces establishments in terms of building floor plans. We discern the subcategory of ‘co‐working office space’ from the floor space and employment survey data, spanning 2007, 2012, and 2017 as collected by the City of Sydney, a municipal government in Australia. Both co‐working offices offered by conventional enterprises and co‐working providers are identified, and the spatial associations between co‐working spaces and their relationships with industry composition are analysed. Using establishment analysis, three co‐working spaces are identified: (1) dedicated co‐working enterprises providing office service and well‐design spaces; (2) conventional office rental enterprises diversifying into co‐working style office; and (3) standard enterprises converting fixed office spaces to co‐working office configurations. The spatial analysis reveals an outward diffusion of co‐working spaces from the centre of Sydney CBD, which is of importance in geographical research focused on urban, social, and economic change.

This paper proposes a hybrid methodology for analysing the causal relations between public transportation development, tourism and land use by combining System Dynamics (SD) with Geographical Information Systems (GIS) and agent-based modelling (ABM). It is applied to illustrate the quantitative and spatial effect of the two phases Light Rail Transit (LRT) development in Asia New Bay Area, Kaohsiung, Taiwan. This paper also furthers the application of the ABM spatial information as interactive variables in the stocks-flow model. The simulation results support that development policies of LRT are significant to the future tourism in Asia New Bay Area, while the under debate second phase of LRT is estimated to raise the number of visitors in long term by alleviating the deteriorating road traffic congestion. This policy-oriented simulation can serve as a reference to the decision-makers towards the future management of LRT.