Maritime spatial planning supported by infrastructure for spatial information in Europe (INSPIRE)

Abramic, Andrej; Bigagli, Emanuele; Vittorio, Barale; Assouline, Michael; Lorenzo-Alonso, Alberto; Norton, Conor

doi:10.1016/j.ocecoaman.2017.11.007

Cited by 20 publications

(5 citation statements)

References 22 publications

(23 reference statements)

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“…Drankier 2012;Jay et al 2016;Abramic et al 2018): for instance, there are administrative differences across all types of borders, such as administrative sectors, business sectors, municipality borders, region borders, and particularly national borders. These, with additional historical differences, create multiple discrepancy issues in spatial data collection, management and availability (Abramic et al 2018). In addition, language differences across national borders set a challenge for the use of existing spatial data.…”

Section: Resultsmentioning

confidence: 99%

From silent knowledge to spatial information – Mapping blue growth scenarios for maritime spatial planning

2019

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Section: Resultsmentioning

confidence: 99%

From silent knowledge to spatial information – Mapping blue growth scenarios for maritime spatial planning

2019

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“…In this paper, we refer to such SDIs as data-focused SDIs. The development of SDIs has been widespread since the early 2000s [20][21][22][23].…”

Section: Spatial Data Infrastructuresmentioning

confidence: 99%

Online Decision Support Infrastructures for Integrating Spatial Planning and Flood Risk Management Policies

Ran,

Nedovic-Budic

2024

IJGI

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Accessible geospatial data are crucial for informed decision making and policy development in urban planning, environmental governance, and hazard mitigation. Spatial data infrastructures (SDIs) have been implemented to facilitate such data access. However, with the rapid advancements in geospatial software and modelling tools, it is important to re-visit the theoretical discussion about the different roles of data-focused SDIs and decision support and modelling tools, particularly in relation to their different impacts on policy making and policy integration. This research focuses on addressing this issue within the specific context of policy integration in spatial planning and flood risk management. To investigate this, an experiment was conducted comparing a data-focused SDI, the Myplan Viewer, with a prototype Internet-based Spatially Integrated Policy Infrastructure (SIPI). The findings reveal that the SIPI, which provides access to both data and decision support and modelling tools, significantly enhances policy integration compared to the Myplan Viewer. Moreover, drawing upon communicative action theory, this study underscores that while data-focused SDIs support instrumental goals, they possess limitations in facilitating trade-offs and balancing diverse interests in the policy-making process, particularly in supporting strategic and communicative actions.

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“…The research was conducted on the Polish fishing fleet. Abramic et al [32], in their study, analysed how the implementation of INSPIRE data model can support data management processes needed for setting up maritime spatial planning. Weig and Schultz-Zehden [33] developed a Spatial Economic Benefit Analysis tool to analyse, beside the ecological and jurisdictional, the economic effects of decisions in maritime spatial planning.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards Sustainable Management of Anchoring on Mediterranean Islands—Concession Support Concept

Pamuković

Rogulj

Jajac

2021

JMSE

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The focus of this paper is to define anchorage management model for concession planning purposes to provide quality support to experts in spatial planning when developing maritime spatial plans. The research aim is to develop an anchorage management model that includes decision and concession support concept. Decision support concept is defined in order to support the processes of identifying potential anchorage locations, their evaluation and comparison, and finally, the priority ranking and selection of locations for their construction. The final step is modelling the concession support concept that includes financial analysis to concession parameters definition. The problem of decision making and concession of the anchorage location selection is complex and ill-structured because of the unsystematic and ad-hoc decisions by all included stakeholders. Additionally, the involvement of several stakeholders’ groups with different preferences and background knowledge, a large amount of conflicting and seemingly incomparable information and data, and numerous conflicting goals and criteria impact final decisions. The proposed concepts overcome the above obstacles in order to enable the construction of anchorages in a way of optimal use of maritime space. The model is tested on the island of Brač, Croatia. The methods used to solve the task are SWARA (The Stepwise Weight Assessment Ratio Analysis) for defining the criteria weights and ELECTRE (Elimination and Choice Expressing Reality) for ranking anchorage locations.

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Maritime spatial planning supported by infrastructure for spatial information in Europe (INSPIRE)

Abstract: Highlights: • INSPIRE is a relevant instrument for increasing transparency of MSP processes; • The INSPIRE data model is adequate for mapping maritime activities; and • The INSPIRE data model supports integration of sea and land planning.

Cited by 20 publications

References 22 publications

From silent knowledge to spatial information – Mapping blue growth scenarios for maritime spatial planning

From silent knowledge to spatial information – Mapping blue growth scenarios for maritime spatial planning

Online Decision Support Infrastructures for Integrating Spatial Planning and Flood Risk Management Policies

Towards Sustainable Management of Anchoring on Mediterranean Islands—Concession Support Concept

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