PPGIS and Public Use in Protected Areas: A Case Study in the Ebro Delta Natural Park, Spain

This paper analyses public use in the Ebro Delta Natural Park using PPGIS (public participation geographic information system) methodology. An online survey was designed using Google Maps API, HTML, and JAVASCRIPT. Respondents were asked to place and rate thirteen items on an interactive map to characterize and georeference public use with regard to accessibility, facilities and services, signposting, safety and security, and leisure activities. In total we collected 209 valid surveys and mapped 2617 georeferenced opinions. Facilities and services were rated highly by users (72.46% were “very satisfied”). These were followed by accessibility (61%, “very satisfied”) and signposting (60.2%, “satisfied” or “quite satisfied”). Safety and security items were hardly rated perhaps because users do not feel insecure in the area. Respondents’ mapping of opinions and experiences, which are heterogeneous and were well rated, enabled us to visualize areas that might be understood as social hotspots. Our results show that PPGIS is an effective procedure for measuring public use in protected areas and may be a valuable tool for park managers and planners.

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Online Public Participation Geographic Information System (PPGIS) as a landscape and public use management tool: a case study from the Ebro Delta Natural Park (Spain)

Landscape Online ◽

10.3097/lo.202193 ◽

2021 ◽

Vol 93 ◽

pp. 1-18

Author(s):

Amalia Vaneska Palacio Buendía ◽

María Yolanda Pérez Albert ◽

David Serrano Giné

Keyword(s):

Information System ◽

Geographic Information System ◽

Public Participation ◽

Leisure Activities ◽

Geographic Information ◽

Ebro Delta ◽

Management Tool ◽

Landscape Characteristics ◽

Natural Park

This paper presents a Public Participation Geographic Information System (PPGIS) application conducted in the Ebro Delta Natural Park, Spain. It aims to support decision-making and management activities. The application is based on an online PPGIS questionnaire using Google Maps API. Participants were asked about the spatial and temporal usage while visiting the Natural Park, about their landscape preferences, and appreciations. A set of eight pairs of bipolar adjectives related to landscape characteristics and experience, four items related to public use, and nine to leisure activities were used. In total, 204 valid answers and 3,969 georeferenced opinions were mapped by this case study. The results of this mapping give insights in the use, perception and appreciation of landscape naturalness and aesthetic beauty, accessibility, facilities, services, and signposting. Furthermore, this study discuss the outcomes of mapping the results and how they support the park management with regard to the identification of conflicts, and the need for action. Finally, this study discuss potentials and limitations of PPGIS as a tool for public participation to capture visitors' experiential knowledge in order to optimize and enhance the management of protected areas.

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Tourist Mobility at the Destination Toward Protected Areas: The Case-Study of Extremadura

Sustainability ◽

10.3390/su10124853 ◽

2018 ◽

Vol 10 (12) ◽

pp. 4853 ◽

Cited By ~ 10

Author(s):

José Sánchez Martín ◽

Juan Rengifo Gallego ◽

Luz Martín Delgado

Keyword(s):

Information System ◽

Geographic Information System ◽

Protected Areas ◽

Shortest Path ◽

Relevant Literature ◽

Geographic Information ◽

Tourist Attraction ◽

Tourist Destination ◽

Natural Protected Areas

The use of natural protected areas has been analyzed abundantly in the relevant literature, although on many occasions these areas are studied from the viewpoint of their role as a tourist destination in themselves, while neglecting their role as a tourist attraction that can be visited from the main destination of their stay. In certain specific areas, as in the case of Extremadura, protected areas are often a complementary destination for visitors who are staying in popular tourist hubs. This study is based on data from 4 different spaces (with different degrees in their status as protected areas) about the flow of tourists they generate at the destination. In light of the data, this paper identifies the 41 towns and villages with the most tourists, later to determine their mobility towards natural protected areas. Information was collected from almost 14,000 surveys that were filled at 52 tourist offices. This information allowed us to map the flow of tourists from their places of stay to the protected areas analyzed here, which resulted in the mapping of relevant networks by means of a Geographic Information System following the criterion of shortest path available. The results here clearly demonstrate that each area has a varying capacity to attract visitors, although in a large proportion of cases, the 60-min isochrone is a boundary beyond which the number of visitors drops significantly.

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Implementation of simple additive weighting methods and non-linier trend methods in mapping of flood protected areas: A case study sub-DAS Bengkulu Hilir

Borobudur Informatics Review ◽

10.31603/binr.4944 ◽

2021 ◽

Vol 1 (1) ◽

pp. 47-54

Author(s):

Yudi Setiawan

Keyword(s):

Information System ◽

Geographic Information System ◽

Protected Areas ◽

Weighting Method ◽

Forecasting Method ◽

Simple Additive Weighting ◽

Weighting Methods ◽

Flood Prone Areas ◽

Outer Area

This research aims to build a geographic information system that can map the level of flood-prone areas around Sub-DAS Bengkulu. To determine the flood prone areas are used four (4) parameters i.e. riverbank, high ground class, rainfall and settlement using Simple Additive Weighting method and using Trend Non Linier forecasting method. The resulting outer area of the flood map is calculated from The Simple Additive weightingmethod. For five (5) years, from 2014 – 2018 there are 267 data entering intermediate clustering , 477 of data entering low clustering and the latter there are 35 data that enters high clustering . In addition, there is also an external result of prediction Chart of the highest Trend Non Linier in 2021 of 2.3809, in 2022 for 3.14841, in 2023 for 4.04413, in 2024 for 5.06803, and in 2025 for 6.22014.

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