The current development of tourism is environmentally unsustainable. Specifically, tourism's contribution to climate change is increasing while other sectors are reducing their greenhouse gas emissions. This paper has two goals: reveal the main structural cause for tourism's emission growth and show the consequences thereof for (mitigation) policies. It is reasoned that the main cause for tourism's strong emission growth is the time-space expansion of global tourism behavior. Contemporary tourism theory and geography fail to clearly describe this geographical development, making it difficult to understand this expansion and develop effective policies to mitigate environmental impacts. Therefore, this paper explores some elements of a 'new tourism geography' and shows how this may help to better understand the causes of the environmentally unsustainable development of tourism with respect to climate change and devise mitigation policies.
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Immense beyond imagination, the untamed rainforests of western New Guinea represent a biodiversity hotspot, home to several unique species of flora and fauna. The territory’s astonishing beauty and diversity is underpinned by a stunning array of natural resources. The island is also home to many indigenous communities practicing hundreds of local languages and traditions and depending on their natural environment for maintaining their traditional livelihoods, identity and culture. The territory’s much-contested decolonization process in the 1950-60s led to widespread discontent among indigenous Papuans and gave rise to persistent dissent from Indonesian rule, routinely met with disproportionately violent action by Indonesian security forces. Adding to these longstanding colonial ills and grievances, indigenous Papuan communities also struggle to grapple with inequitable allocation of land and resources, extreme pollution and environmental degradation caused by the mining and palm oil sectors. In the meantime, climate-exacerbated weather events have become more frequent in the region creating new tensions by putting an additional strain on natural resources and thus leading to an increased level of insecurity and inequality. In particular, these challenges have a disproportionate and profound impact on indigenous Papuan women, whose native lands are deeply embedded in their cultural and ethnic identity, and who are dependent on access to land to carry out their prescribed roles. Displacement also puts women at further risk of violence. Adding to sexual violence and displacement experienced by indigenous Papuan women, the loss of traditional lands and resources has been identified as having a singularly negative impact on women as it impedes their empowerment and makes them vulnerable to continued violence. The Papuan experience thus serves as a timely illustration to exemplify how environmental factors, such as resource extraction and climate change, not only amplify vulnerabilities and exacerbate pre-existing inequalities stemming from colonial times, they also give rise to gendered consequences flowing from large-scale degradation and loss of the natural environment.
Airport management is frequently faced with a problem of assigning flights to available stands and parking positions in the most economical way that would comply with airline policies and suffer minimum changes due to any operational disruptions. This work presents a novel approach to the most common airport problem – efficient stand assignment. The described algorithm combines benefits of data-mining and metaheuristic approaches and generates qualitative solutions, aware of delay trends and airport performance perturbations. The presented work provides promising solutions from the starting moments of computation, in addition, it delivers to the airport stakeholders delay-aware stand assignment, and facilitates the estimation of risk and consequences of any operational disruptions on the slot adherence.
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