Pub Date : 2020-01-02DOI: 10.1080/00167223.2020.1766365
C. Vîlcea, Cristina Șoșea
ABSTRACT The population living in large urban areas faces multiple pressures on their physical and psychological well-being coming from various polluting sources: air pollution, water pollution, and high noise level, thermal and visual stress. Urban green spaces have a positive impact on human health, as they help people relax more. Stress relief through physical exercise and social interaction is possible by having an increased access to parks or other green areas. As in the case of many growing cities, Craiova faces a continuous demand for more construction development space, while the shrinkage of urban green areas is becoming an issue. Using a GIS-based method, this study analyses the accessibility of Craiova residents to urban green spaces, identifying the areas with reduced green spaces and making recommendations for the improvement of the green areas available to residents. The number and location of the parks in the city are correlated with the population density within residential areas in order to analyse the accessibility to green areas based on both walking and driving distance between the access points of the green spaces and the residential areas. Data indicate an unevenly distribution of parks and access to green areas.
{"title":"A GIS-based analysis of the urban green space accessibility in Craiova city, Romania","authors":"C. Vîlcea, Cristina Șoșea","doi":"10.1080/00167223.2020.1766365","DOIUrl":"https://doi.org/10.1080/00167223.2020.1766365","url":null,"abstract":"ABSTRACT The population living in large urban areas faces multiple pressures on their physical and psychological well-being coming from various polluting sources: air pollution, water pollution, and high noise level, thermal and visual stress. Urban green spaces have a positive impact on human health, as they help people relax more. Stress relief through physical exercise and social interaction is possible by having an increased access to parks or other green areas. As in the case of many growing cities, Craiova faces a continuous demand for more construction development space, while the shrinkage of urban green areas is becoming an issue. Using a GIS-based method, this study analyses the accessibility of Craiova residents to urban green spaces, identifying the areas with reduced green spaces and making recommendations for the improvement of the green areas available to residents. The number and location of the parks in the city are correlated with the population density within residential areas in order to analyse the accessibility to green areas based on both walking and driving distance between the access points of the green spaces and the residential areas. Data indicate an unevenly distribution of parks and access to green areas.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"73 1","pages":"19 - 34"},"PeriodicalIF":2.3,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80026739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-24DOI: 10.1080/00167223.2019.1605301
M. Adelfio, Jaan-Henrik Kain, Jenny Stenberg, L. Thuvander
ABSTRACT Urban planning deals with multiple layers of information stemming from concurrent activities and stakeholders intervening in urban development. For a better management of complexity more comprehensiveness and data integration are needed. This study develops an adaptive and iterative mixed-method approach for knowledge production in urban transformation processes. Specific research questions relate to data integration from different sources and facilitation of co-production of knowledge beyond triangulation. A new multi-layer framework, GISualization, has been developed in the context of a research project exploring compact city qualities. The framework is structured through five data layers, representing different methods for data collection and different grades of complexity, richness and interpretation: basic statistics; advanced statistics; exogenous quali-quantitative descriptions; exogenous qualitative descriptions; and endogenous qualitative descriptions. Thus, data stem from both quantitative and qualitative sources. Our study has proven that GISualization is a methodological framework that enables analysis and visualization of complex data in a rich format. The approach is closely related to analytical eclecticism and abductivity. It embodies a collaborative communication platform that provides a language to navigate between heterogeneous data, information and methods. The GISualization framework opens up for broader stakeholder involvement and community participation extending research into the domain of transdisciplinary knowledge production.
{"title":"GISualization: visualized integration of multiple types of data for knowledge co-production","authors":"M. Adelfio, Jaan-Henrik Kain, Jenny Stenberg, L. Thuvander","doi":"10.1080/00167223.2019.1605301","DOIUrl":"https://doi.org/10.1080/00167223.2019.1605301","url":null,"abstract":"ABSTRACT Urban planning deals with multiple layers of information stemming from concurrent activities and stakeholders intervening in urban development. For a better management of complexity more comprehensiveness and data integration are needed. This study develops an adaptive and iterative mixed-method approach for knowledge production in urban transformation processes. Specific research questions relate to data integration from different sources and facilitation of co-production of knowledge beyond triangulation. A new multi-layer framework, GISualization, has been developed in the context of a research project exploring compact city qualities. The framework is structured through five data layers, representing different methods for data collection and different grades of complexity, richness and interpretation: basic statistics; advanced statistics; exogenous quali-quantitative descriptions; exogenous qualitative descriptions; and endogenous qualitative descriptions. Thus, data stem from both quantitative and qualitative sources. Our study has proven that GISualization is a methodological framework that enables analysis and visualization of complex data in a rich format. The approach is closely related to analytical eclecticism and abductivity. It embodies a collaborative communication platform that provides a language to navigate between heterogeneous data, information and methods. The GISualization framework opens up for broader stakeholder involvement and community participation extending research into the domain of transdisciplinary knowledge production.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"79 1","pages":"163 - 184"},"PeriodicalIF":2.3,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85532596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-15DOI: 10.1080/00167223.2019.1601575
Jing Xu, Cheng Jin
ABSTRACT Online travel searches are important forms of travel virtual spaces. Previous studies have neglected to analyze the spatial features of the travel searches themselves, and the spatial heterogeneity of their influencing factors. In this study, a travel search index based on the Baidu index was established for analyzing travel searches. Meanwhile, a local spatial model was created for the linear features in order to discuss the spatiotemporal heterogeneity of the influencing factors. The results of this study indicated that travel searches have obvious spatial inequality, and economically developed regions had displayed advantages in the travel search network. The fitting results of the local model were found to be superior to global model. The number of attractions and the GDP of the origin were found to have promoting effects on the travel searches, whereas distances had shown inhibiting effects. These effects presented significant spatiotemporal heterogeneity. It was also found that within the travel search virtual space, the distance effects still existed, but the intensity was weaker than in the real space. The local spatial model for the linear features provided a new spatial analysis method for understanding the travel search network, as well as other types of networks (flow patterns).
{"title":"Exploring spatiotemporal heterogeneity in online travel searches: a local spatial model approach","authors":"Jing Xu, Cheng Jin","doi":"10.1080/00167223.2019.1601575","DOIUrl":"https://doi.org/10.1080/00167223.2019.1601575","url":null,"abstract":"ABSTRACT Online travel searches are important forms of travel virtual spaces. Previous studies have neglected to analyze the spatial features of the travel searches themselves, and the spatial heterogeneity of their influencing factors. In this study, a travel search index based on the Baidu index was established for analyzing travel searches. Meanwhile, a local spatial model was created for the linear features in order to discuss the spatiotemporal heterogeneity of the influencing factors. The results of this study indicated that travel searches have obvious spatial inequality, and economically developed regions had displayed advantages in the travel search network. The fitting results of the local model were found to be superior to global model. The number of attractions and the GDP of the origin were found to have promoting effects on the travel searches, whereas distances had shown inhibiting effects. These effects presented significant spatiotemporal heterogeneity. It was also found that within the travel search virtual space, the distance effects still existed, but the intensity was weaker than in the real space. The local spatial model for the linear features provided a new spatial analysis method for understanding the travel search network, as well as other types of networks (flow patterns).","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"1079 1","pages":"146 - 162"},"PeriodicalIF":2.3,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76695363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-20DOI: 10.1080/00167223.2019.1589386
Guillem Vich, Oriol Marquet, C. Miralles-Guasch
ABSTRACT The present study delves into the explanatory factors of the walking patterns of residents in metropolitan regions, who tend to be pressed for time when travelling to their daily destinations or activities. We particularly focus on the effects of the commuting distance on the amount of walking that can be achieved, which has health, socioeconomic and environmental implications. This study confirms the potential benefits of using smartphone tracking data to examine walking patterns. To enable this, a smartphone tracking application was developed to obtain accurate mobility data from a group of adults (n = 93) residing in the Barcelona Metropolitan Region (Spain) and have to commute to a suburban university campus that can only be reached by using motorized transport modes. The results highlight the commuting distance and employment status as strong determinants of the amount of walking time achieved by this study group. Moreover, it was determined that among transit users, the commuting distance of male commuters was negatively associated with walking when compared with female transit users, whereas explanatory factors for private transport users bore insignificant results. Smartphone devices proved their potential as an effective and useful source of data in transportation and health research.
{"title":"“Is there any time left for walking?” Physical activity implications of suburban commuting in the Barcelona metropolitan region","authors":"Guillem Vich, Oriol Marquet, C. Miralles-Guasch","doi":"10.1080/00167223.2019.1589386","DOIUrl":"https://doi.org/10.1080/00167223.2019.1589386","url":null,"abstract":"ABSTRACT The present study delves into the explanatory factors of the walking patterns of residents in metropolitan regions, who tend to be pressed for time when travelling to their daily destinations or activities. We particularly focus on the effects of the commuting distance on the amount of walking that can be achieved, which has health, socioeconomic and environmental implications. This study confirms the potential benefits of using smartphone tracking data to examine walking patterns. To enable this, a smartphone tracking application was developed to obtain accurate mobility data from a group of adults (n = 93) residing in the Barcelona Metropolitan Region (Spain) and have to commute to a suburban university campus that can only be reached by using motorized transport modes. The results highlight the commuting distance and employment status as strong determinants of the amount of walking time achieved by this study group. Moreover, it was determined that among transit users, the commuting distance of male commuters was negatively associated with walking when compared with female transit users, whereas explanatory factors for private transport users bore insignificant results. Smartphone devices proved their potential as an effective and useful source of data in transportation and health research.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"109 1","pages":"136 - 145"},"PeriodicalIF":2.3,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79668481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-20DOI: 10.1080/00167223.2019.1587307
Daniel Kpienbaareh, J. Oduro Appiah
ABSTRACT Urban landscapes are changing in response to changes in socio-economic conditions. Land change scientists seek to understand these land dynamics in the coupled human-environment system of urban landscapes. This study assessed land change in the built-up area of Wa Municipality between 1986 and 2016 using Landsat images. We used the Support Vector Machine algorithm for classifying the images. We recorded image classification accuracies of 97%, 95%, 92% and 96% for the 1986, 1996, 2006 and 2016 classified images, respectively. Our study finds that over the 1986–2016 period, agricultural land and bare land transitioned to build-up land by 9.23% and 3.79%, respectively, as compared to 2.79% for vegetation and 0.05% for water. Our in-municipal level analysis thus shows that urban landscapes could expand more sustainably by targeting other dominant land categories instead of the vegetation cover. The findings in this paper could serve as a spatial model for planning and reducing the unintended socio-ecological impacts of expansion in the built-up area.
{"title":"A geospatial approach to assessing land change in the built-up landscape of Wa Municipality of Ghana","authors":"Daniel Kpienbaareh, J. Oduro Appiah","doi":"10.1080/00167223.2019.1587307","DOIUrl":"https://doi.org/10.1080/00167223.2019.1587307","url":null,"abstract":"ABSTRACT Urban landscapes are changing in response to changes in socio-economic conditions. Land change scientists seek to understand these land dynamics in the coupled human-environment system of urban landscapes. This study assessed land change in the built-up area of Wa Municipality between 1986 and 2016 using Landsat images. We used the Support Vector Machine algorithm for classifying the images. We recorded image classification accuracies of 97%, 95%, 92% and 96% for the 1986, 1996, 2006 and 2016 classified images, respectively. Our study finds that over the 1986–2016 period, agricultural land and bare land transitioned to build-up land by 9.23% and 3.79%, respectively, as compared to 2.79% for vegetation and 0.05% for water. Our in-municipal level analysis thus shows that urban landscapes could expand more sustainably by targeting other dominant land categories instead of the vegetation cover. The findings in this paper could serve as a spatial model for planning and reducing the unintended socio-ecological impacts of expansion in the built-up area.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"50 3","pages":"121 - 135"},"PeriodicalIF":2.3,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/00167223.2019.1587307","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72452979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-11DOI: 10.1080/00167223.2019.1581629
Inka Gersch
ABSTRACT Foreign direct investments (FDIs) are noted as an important cross-border channel for knowledge. Thus, expanding companies can contribute to local supplying companies’ capability development, an important precondition for upgrading processes. Several transnational grocery retailers have expanded globally and introduced modern supply chain management practices to markets of emerging and developing countries. However, agri-food industries are under-researched regarding FDI-induced knowledge transfer and supplier upgrading. Based on qualitative interviews with both retailers and suppliers in the emerging market of Turkey, this article discusses the upgrading processes of fresh food suppliers driven by the FDI of grocery retailers. This article shows how the foreign retailers’ fresh fruit and vegetable supply structures have evolved towards the preferences of suppliers that vertically integrate value chain functions. Within this dynamic, transnational retailers proactively shape their suppliers and promote (functional) upgrading. The findings imply that (1) local regulatory environments should foster local sourcing and (2) the way for suppliers to work towards a solid value chain positioning is to fully integrate supply chain functions including agricultural primary production. This article argues that integrating low value-adding functions can be a type of functional upgrading that has not yet been acknowledged.
{"title":"Foreign direct investment and local supplier upgrading – the case of grocery retail in Turkey","authors":"Inka Gersch","doi":"10.1080/00167223.2019.1581629","DOIUrl":"https://doi.org/10.1080/00167223.2019.1581629","url":null,"abstract":"ABSTRACT Foreign direct investments (FDIs) are noted as an important cross-border channel for knowledge. Thus, expanding companies can contribute to local supplying companies’ capability development, an important precondition for upgrading processes. Several transnational grocery retailers have expanded globally and introduced modern supply chain management practices to markets of emerging and developing countries. However, agri-food industries are under-researched regarding FDI-induced knowledge transfer and supplier upgrading. Based on qualitative interviews with both retailers and suppliers in the emerging market of Turkey, this article discusses the upgrading processes of fresh food suppliers driven by the FDI of grocery retailers. This article shows how the foreign retailers’ fresh fruit and vegetable supply structures have evolved towards the preferences of suppliers that vertically integrate value chain functions. Within this dynamic, transnational retailers proactively shape their suppliers and promote (functional) upgrading. The findings imply that (1) local regulatory environments should foster local sourcing and (2) the way for suppliers to work towards a solid value chain positioning is to fully integrate supply chain functions including agricultural primary production. This article argues that integrating low value-adding functions can be a type of functional upgrading that has not yet been acknowledged.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"549 1","pages":"108 - 120"},"PeriodicalIF":2.3,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86982841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/00167223.2019.1585893
G. Levin, S. Svenningsen
Human activities alter the land surface of the Earth (Haberl et al., 2007; Hurtt et al., 2006), and one key questionwithin geography is, therefore, the assessment of land use/land cover change (LULCC) and the analysis and understanding of the underlying drivers and effects of LULCC (Brandt, Primdahl, & Reenberg, 1999; Bürgi, Hersperger, & Schneeberger, 2004; Plieninger et al., 2016). The last decades have seen amassive andwidespread digitalization of spatial and non-spatial information, which can be linked (and hence geo-referred) to specific spatial units or entities (Fuchs, Verburg, Clevers, & Herold, 2015; Goldberg, Olivares, Li, & Klein, 2014). Digitalization came relatively early to the field of land change science, mainly due to the use of geographic information systems to handle spatial data in the form of maps and remotely sensed data (Haines-Young, Green, & Cousins, 1993). It can, therefore, be argued that a long digital tradition exists within land change science, which has been open to pursue the possibilities of new data sources and methods as these have emerged. Recent years have seen an unprecedented growth in the amount of digital data as well as rapid advances in new digital methods, tools and research infrastructures across academia (Kong, 2015). This includes easy access to spatially specific information from other domains and academic fields, such as register data from government agencies, data from aerial and terrestrial sensors, and a wide range of historical data repositories. Furthermore, as many data sets are available for whole regions, countries or even at global scale, analyses of land change with large geographical coverage and at the same time at high spatial resolutions are increasingly made possible. It can be argued that a new era of digital data has opened up for transdisciplinary interactions for land change research. Yet, increased access to digital data also entails challenges related to the validity of data and the need for new approaches to integrate multiple digital data sources. All five articles in this special issue concern the application of digital data in land change research. In the following sections, we present the articles and discuss them in the wider context of: (1) the sound understanding, interpretation and thus application of digital data and (2) the development ofmethodologies to integratemultiple digital data in a transdisciplinary manner.
{"title":"Digital transdisciplinarity in land change science – integrating multiple types of digital data","authors":"G. Levin, S. Svenningsen","doi":"10.1080/00167223.2019.1585893","DOIUrl":"https://doi.org/10.1080/00167223.2019.1585893","url":null,"abstract":"Human activities alter the land surface of the Earth (Haberl et al., 2007; Hurtt et al., 2006), and one key questionwithin geography is, therefore, the assessment of land use/land cover change (LULCC) and the analysis and understanding of the underlying drivers and effects of LULCC (Brandt, Primdahl, & Reenberg, 1999; Bürgi, Hersperger, & Schneeberger, 2004; Plieninger et al., 2016). The last decades have seen amassive andwidespread digitalization of spatial and non-spatial information, which can be linked (and hence geo-referred) to specific spatial units or entities (Fuchs, Verburg, Clevers, & Herold, 2015; Goldberg, Olivares, Li, & Klein, 2014). Digitalization came relatively early to the field of land change science, mainly due to the use of geographic information systems to handle spatial data in the form of maps and remotely sensed data (Haines-Young, Green, & Cousins, 1993). It can, therefore, be argued that a long digital tradition exists within land change science, which has been open to pursue the possibilities of new data sources and methods as these have emerged. Recent years have seen an unprecedented growth in the amount of digital data as well as rapid advances in new digital methods, tools and research infrastructures across academia (Kong, 2015). This includes easy access to spatially specific information from other domains and academic fields, such as register data from government agencies, data from aerial and terrestrial sensors, and a wide range of historical data repositories. Furthermore, as many data sets are available for whole regions, countries or even at global scale, analyses of land change with large geographical coverage and at the same time at high spatial resolutions are increasingly made possible. It can be argued that a new era of digital data has opened up for transdisciplinary interactions for land change research. Yet, increased access to digital data also entails challenges related to the validity of data and the need for new approaches to integrate multiple digital data sources. All five articles in this special issue concern the application of digital data in land change research. In the following sections, we present the articles and discuss them in the wider context of: (1) the sound understanding, interpretation and thus application of digital data and (2) the development ofmethodologies to integratemultiple digital data in a transdisciplinary manner.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"16 1","pages":"1 - 5"},"PeriodicalIF":2.3,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78824504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/00167223.2019.1581628
Éva Konkoly-Gyuró, P. Balázs, Ágnes Tirászi
ABSTRACT Landscape is a dynamic, multi-layered, spatial–temporal system. It mirrors the results of human–nature interactions, encompassing both material and perceived reality. Landscape assessment requires transdisciplinarity that we achieve by discussing and combining three approaches: landscape character assessment (LCA), historic land-cover (LC) change analysis and narratives of local residents on landscape perception. The Austro-Hungarian transboundary study area around Lake Fertő, a world heritage cultural landscape, was divided by a state border after First World War. It provides a good example for the divergent evolution of the same biophysical landscape due to the different political and socio-economic influences. Results of the study highlight methodological issues concerning the combination of quantitative and qualitative data and the inclusion of local knowledge in the LCA. The historical cartographic analysis presents the significant differences in LC transition processes in the Austrian and the Hungarian sides of the area, resulting in dissimilarities in landscape character. The study shows the differences in landscape conceptualization and the perceptions of landscape researchers and local residents. Mutual understanding helps communication to preserve the unique landscape qualities and avoid landscape degradation by enhancing environmental awareness and facilitating common landscape management strategies.
{"title":"Transdisciplinary approach of transboundary landscape studies: a case study of an Austro-Hungarian transboundary landscape","authors":"Éva Konkoly-Gyuró, P. Balázs, Ágnes Tirászi","doi":"10.1080/00167223.2019.1581628","DOIUrl":"https://doi.org/10.1080/00167223.2019.1581628","url":null,"abstract":"ABSTRACT Landscape is a dynamic, multi-layered, spatial–temporal system. It mirrors the results of human–nature interactions, encompassing both material and perceived reality. Landscape assessment requires transdisciplinarity that we achieve by discussing and combining three approaches: landscape character assessment (LCA), historic land-cover (LC) change analysis and narratives of local residents on landscape perception. The Austro-Hungarian transboundary study area around Lake Fertő, a world heritage cultural landscape, was divided by a state border after First World War. It provides a good example for the divergent evolution of the same biophysical landscape due to the different political and socio-economic influences. Results of the study highlight methodological issues concerning the combination of quantitative and qualitative data and the inclusion of local knowledge in the LCA. The historical cartographic analysis presents the significant differences in LC transition processes in the Austrian and the Hungarian sides of the area, resulting in dissimilarities in landscape character. The study shows the differences in landscape conceptualization and the perceptions of landscape researchers and local residents. Mutual understanding helps communication to preserve the unique landscape qualities and avoid landscape degradation by enhancing environmental awareness and facilitating common landscape management strategies.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"76 1","pages":"52 - 68"},"PeriodicalIF":2.3,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83855427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/00167223.2019.1573409
Joan Jurado Rota, M. Y. Pérez Albert, D. Serrano Giné
ABSTRACT This paper analyses visitor monitoring and the public use of protected areas using volunteered geographic information (VGI) as a source of big data and, as the object of study, the Ebro Delta Natura 2000 site (west Mediterranean basin). Over 5,000 voluntarily recorded tracks spread over 10 years have been analysed, showing a predominance of cycling activities on trails of up to 50 km in length. Using cluster analysis and a hotspot approach, we found that the highest intensities of use are concentrated in less than 1% of the area studied, while a high dispersion of track start/finish points suggests low but scattered pressure all over the site. Spatial analysis reveals a number of spatial interactions, including the use of official trails, trespassing on reserves and potential nuisance to birdlife. This information is useful for site managers and helps them design sustainable practices. By applying the same analysis using VGI and data mining to other Natura 2000 sites, comparisons can be made and thus provide valuable assessment regarding visitor monitoring and public use patterns for the largest network of protected areas in the world.
{"title":"Visitor monitoring in protected areas: an approach to Natura 2000 sites using Volunteered Geographic Information (VGI)","authors":"Joan Jurado Rota, M. Y. Pérez Albert, D. Serrano Giné","doi":"10.1080/00167223.2019.1573409","DOIUrl":"https://doi.org/10.1080/00167223.2019.1573409","url":null,"abstract":"ABSTRACT This paper analyses visitor monitoring and the public use of protected areas using volunteered geographic information (VGI) as a source of big data and, as the object of study, the Ebro Delta Natura 2000 site (west Mediterranean basin). Over 5,000 voluntarily recorded tracks spread over 10 years have been analysed, showing a predominance of cycling activities on trails of up to 50 km in length. Using cluster analysis and a hotspot approach, we found that the highest intensities of use are concentrated in less than 1% of the area studied, while a high dispersion of track start/finish points suggests low but scattered pressure all over the site. Spatial analysis reveals a number of spatial interactions, including the use of official trails, trespassing on reserves and potential nuisance to birdlife. This information is useful for site managers and helps them design sustainable practices. By applying the same analysis using VGI and data mining to other Natura 2000 sites, comparisons can be made and thus provide valuable assessment regarding visitor monitoring and public use patterns for the largest network of protected areas in the world.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":"44 1","pages":"69 - 83"},"PeriodicalIF":2.3,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74363137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/00167223.2019.1573408
C. Prinds, R. J. Petersen, M. Greve, B. V. Iversen
ABSTRACT Artificial drainage of agricultural fields represents a major flow path way of both water and nutrients which may contribute to eutrophication issues in the recipient waters. Several studies have shown that riparian lowlands (alluvial plains, wetlands, meadows), if present, may act as buffer zones with high nutrient retention capacities. To assess the fate of water and nutrient flow in riparian lowlands in tile drained catchments, it is essential to know the locations of tile drainage outlets as sources of nutrient input. Using a thermal infrared (TIR) remote-sensing survey, we identified potential tile drainage outlets in a riparian lowland. We also applied a normalized differentiated vegetation index (NDVI) approach to illustrate how tile drainage outlets can be identified with free broadband RGB-NIR data. The positions of identified outlets were validated in the field by visual observation. Our study finds that TIR remote sensing is a strong tool when assessing the sources of water input. NDVI is also applicable, however the background values are very variable making the outlets difficult to locate. The results can be applied in studies of water movement and solute transport via tile drainage as well as model studies where knowledge of input areas through tile drainage is of great importance.
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