Global Covenant Of Mayors Research Articles

GCoM datasets: a collection of climate and energy action plans with mitigation, adaptation and energy access commitments

This paper presents a collection of datasets holding information on the energy and climate action plans of 6,850 municipalities, taking part in the transnational initiative of the Global Covenant of Mayors (GCoM). This collection includes commitments for reducing net GHG emissions by at least 20% by 2020, 55% by 2030 and becoming climate neutral by 2050. The signatories commit to addressing any of the three pillars of the initiative, namely climate change mitigation, adaptation and energy access. Following two previous releases, the third release of the GCoM collection is introduced, with closing date September 2022. The datasets include information on the action plans and monitoring reports as they are self-reported by signatories, undergoing a quality-harnessing procedure before publication. Additionally, an external comparison is developed with the Emissions Database for Global Atmospheric Research (EDGAR v7), controlling for comparable sources and activity sectors, ensuring the usability of the GCoM datasets for relevant research on local policies and their effects on reducing the impact of climate change.

Key predictors of greenhouse gas emissions for cities committing to mitigate and adapt to climate change

It is central for climate policy to understand, monitor and forecast greenhouse gas (GHG) emissions, generating insights on the key factors and actions with a greater impact to mitigate and adapt to global warming. Focusing on the leading role of cities, it is relevant to build robust and reliable GHG emissions prospects for every city committing to mitigate and adapt to climate change. In this paper, a novel methodology is proposed to build those prospects, presenting a case study with 6231 EU-27 cities and local municipalities taken from the Global Covenant of Mayors (GCoM). Key GHG emissions predictors for the target years of 2020 and 2030 refer to the baseline energy consumption and associated GHG emissions, as well as the population and the national emissions per capita trend. Additionally, other informative predictors are the baseline inventory year, the reduction target, the disaggregated baseline emissions by type of fuel (fossils or renewables), the heating and cooling degree days and the NUTS urban/rural categorization. The proposed methodology allows assessing the cities' achievements based on their expected performance, and it could be further implemented to support new cities willing to commit to a significant reduction of their GHG emissions.

Prediction of greenhouse gas emissions for cities and local municipalities monitoring their advances to mitigate and adapt to climate change

Under the Global Covenant of Mayors (GCoM) initiative, cities present their action plans committing to mitigate greenhouse gas (GHG) emissions and/or adapt to climate change. One concrete objective consists in setting a reduction target, by which cities commit to reduce their baseline GHG emissions for a chosen target year. In monitoring their emissions, cities report inventories for any arbitrary year(s), making available only discrete readings in what can be considered a very sparse yearly time series. Examining the performance of the cities for the target years of 2020 and 2030, the actual measurements are usually not available. Therefore, a machine learning methodology is proposed to predict the GHG emissions inventories for each city on their target year, enabling the assessment of the cities’ performance inside a common reporting framework. Using the reported inventories, the methodology identifies a model for each city, minimizing the error for the last known reported value. As a result, the proposed method allows predicting GHG emissions for cities from their yearly inventories, controlling the uncertainty associated to the estimations and extracting reliable information that can be updated as soon as new emissions inventories become available. • A methodology is proposed to forecast the GHG emissions of cities monitoring their actions on climate change. • Forecasting models are validated by the novel Leave Last Known Value Out technique. • The proposed method predicts GHG emissions for cities from their yearly inventories. • The methodology is illustrated for a group of 1950 cities and local administrative units in the EU-27.

A systemic perspective for the Sustainable Energy and Climate Action Plan (SECAP)

ABSTRACT The voluntary-based initiative Covenant of Mayors (CoM) focused on the active role of local authorities and increased its targets by 2016, through the Sustainable Energy and Climate Action Plans (SECAPs) in terms of GHG reduction from 20% to 40% by 2030. In actual fact, the SECAP, intended as an urban planning tool, has the potential to improve the resilience of the EU Municipalities to climate-change, developing adaptation/mitigation actions and increasing the ‘environmental awareness’ of the involved actors. From a planning point of view, we affirm that the CoM started a new season of urban planning in Europe that covers the planning demand in the domain of implementing sustainable territorial development objectives. It unlocks the current ineffective planning systems and represents a remarkable practice promoting feasible framework projects for public and private investments. This paper proposes a methodological proposal to exploit this spread of SECAPs in the EU, including the systemic strategic planning approach in the process of SECAP design and ensuring an integrated vision of city development over the list of actions per sector required by the Global CoM procedures. Besides the methodological proposal, a review of the major EU energy policies is provided and relevant Best Practices are presented.

Transnational municipal networks and climate change adaptation: A study of 377 cities

Cities have increasingly recognised the risks posed by climate change and the need to adapt. To support climate action, cities have formed cooperative networks such as the C40 Cities Climate Leadership Group, the Global Covenant of Mayors and the International Council for Local Environmental Initiatives. However, a lack of scientific evidence exists when it comes to the actual impact of network participation, especially in the context of adaptation. This study is the first to test statistically the association between network membership and progress in adaptation planning in 377 cities globally. The results show that network members are more likely to have started the adaptation process than other cities, and that being a member of multiple networks is associated with higher levels of adaptation planning. Moreover, cities in wealthier countries are more likely to be more advanced in adaptation planning than others. We consider the possible explanations for these results based on the previous literature and information gathered from the networks. The main implications of our study are that network organisations should consider how to encourage the adaptation process among their members and the increased involvement of cities from lower-income countries.

Crafting local climate action plans: An action prioritisation framework using multi-criteria decision analysis

The COP21 target to keep global warming to well below 2 (or 1.5) degrees Celsius cannot be met without massive transformation in cities. A major challenge on the road to nearly greenhouse gas (GHG) emissions-neutral cities is the successful development of a climate action plan (CAP) by the local authority, sometimes within the framework of its participation to different initiatives (e.g. the Global Covenant of Mayors). While the identification of the best actions for reaching their long-term GHG emission reduction target constitutes a common decision-making problem for local authorities, it is also an intricate one: conflicting and incommensurable aspects such as environmental, economic, social and technical issues, as well as conflicting stakeholder interests should be dealt with simultaneously when actions have to be programmed. Multi-Criteria Decision Analysis (MCDA) methods are well-known to cope with these complexities and have already been used for decades in several fields. However, they have not been systematically used within the context of local CAPs. The methodologies which are normally implemented to support the prioritisation of actions wholly or to a great extent rely on economic analyses and do not capture the potential co-impacts. In this context, this paper proposes a general participatory framework for guiding collaborative prioritisation of actions as a methodology to help local authorities with the development of more sustainable CAPs, while using MCDA. Finally, advantages, limitations and further steps in research regarding the proposed framework are discussed.

An institutional analysis to address climate change adaptation in Tenerife (Canary Islands)

Heat waves and Saharan dust outbreaks have been acquiring more frequency and intensity in the Canary Islands during the last decades. Both climatic hazards are known to produce impacts on human health such as mortality (due to heat waves) and morbidity (due to dusty weather). This work addresses possible climate adaptation policies in Tenerife assuming the increasing impact of heat waves and Saharan dust outbreaks in the island under a climate change scenario. It explores the institutional setting of climate change adaptation planning in Tenerife and evaluates the statu quo of adaptation planning in the island through the engagement of key social actors. An historical review of the local and regional press articles and legislation, an in-depth round of interviews, together with questionnaires to the main social actors allows framing the social and political context in which climate change adaptation in Tenerife is embedded. Key social actors were engaged, including international organisations, atmospheric research centres, local Universities, regional and insular governments, trade unions, and environmental NGOs, among others. The main obstacles mentioned by the social actors that hinder the development of an effective climate adaptation policy address scientific knowledge, data collection and policy making, focusing on the uncertainty of climate models, the lack of epidemiological data and contrasting opinions regarding the existing climate adaptation policies. Public participation, mainstreaming of climate policies and an integrated approach between mitigation and adaptation plans were identified as key policy issues. The outcomes of this study could be meaningful for climate adaptation initiatives at local or regional level, such as the Global Covenant of Mayors, that intend to promote climate resilience through the setup of climate adaptation strategies and plans at municipality level.

Urban resilience efforts must consider social and political forces

Environmental disasters, ranging from catastrophic floods to extreme temperatures, have caused more than 30,000 deaths per year and more than US$ 250–300 billion a year in economic losses, globally, between 1995 and 2015 (1). Improved infrastructure and planning for extreme events is essential in urban areas, where an increasingly greater fraction of the world’s inhabitants reside. In response, international governmental and private initiatives have placed the goal of resilience at the center stage of urban planning. [For example, The 100 Resilient Cities Initiative (www.100resilientcities.org/); the Global Covenant of Mayors (https://www.compactofmayors.org/globalcovenantofmayors/); and the recent UN Habitat III (https://habitat3.org/the-new-urban-agenda)]. In addition, scientific and policy communities alike now recognize the need for “safe-to-fail” infrastructural design, and the potential role of green and blue infrastructure in mediating hydrological and climatic risks in cities (2). Fig. 1. Improving urban resilience could help cities better cope with natural disasters, such as neighborhood flood events in Mexico City pictured here. Data source: Unidad Tormenta, Sistema de Aguas de la Ciudad de Mexico. Nevertheless, the social and political norms, values, rules, and relationships that undergird and structure the myriad decisions made by public and private actors—what we call “socio-political infrastructure”—are likely to be as influential in urban vulnerability dynamics as “hard” infrastructure and environmental management. Urban planning for enhanced resilience and sustainability is ultimately a complex social and political process. Socio-political infrastructure creates patterns of behavior and action that shape the built environment. Developing more sustainable pathways of urban development hinges on making this socio-political infrastructure transparent and legible in the tools and approaches available for risk management. We argue that sustainability science is in the position to create the tools, methods, and strategies to identify, represent, and communicate the significance of these social and political processes to decision makers at all levels. In doing so, we can help … [↵][1]1To whom correspondence should be addressed. Email: Hallie.Eakin{at}asu.edu. [1]: #xref-corresp-1-1