Pub Date : 2018-07-03DOI: 10.1080/00167223.2018.1503551
A. Gajić, Nikola Krunić, Branko M. Protić
ABSTRACT Abstract: Identification of urban and rural areas has been a widely present topic in the past decades, both in scientific research and in the policy and practice of spatial/regional development and territorial governance. The internationally accepted OECD definition does not produce appropriate results that are able to include the multidimensionality of these territories. In this context, the aim of this paper is the analysis and selection of relevant criteria and indicators of urbanity/rurality that may be significant for the establishment of a methodological framework for identifying urban and rural areas in Serbia. Multivariate analysis (PCA, FA and CA) was used to group local self-government units (LSGU) in Serbia that share similar characteristics. The research resulted in five types of areas which indicate that rural and urban areas in Serbia are very diverse in terms of physiogeographical, socio-economic and functional characteristics. The results of this paper offer a more detailed analysis based on scientifically and empirically selected indicators and can be applied in the practice of spatial and urban planning, and in the adaptation of strategic development documents at the regional or national level.
{"title":"Towards a new methodological framework for the delimitation of rural and urban areas: a case study of Serbia","authors":"A. Gajić, Nikola Krunić, Branko M. Protić","doi":"10.1080/00167223.2018.1503551","DOIUrl":"https://doi.org/10.1080/00167223.2018.1503551","url":null,"abstract":"ABSTRACT Abstract: Identification of urban and rural areas has been a widely present topic in the past decades, both in scientific research and in the policy and practice of spatial/regional development and territorial governance. The internationally accepted OECD definition does not produce appropriate results that are able to include the multidimensionality of these territories. In this context, the aim of this paper is the analysis and selection of relevant criteria and indicators of urbanity/rurality that may be significant for the establishment of a methodological framework for identifying urban and rural areas in Serbia. Multivariate analysis (PCA, FA and CA) was used to group local self-government units (LSGU) in Serbia that share similar characteristics. The research resulted in five types of areas which indicate that rural and urban areas in Serbia are very diverse in terms of physiogeographical, socio-economic and functional characteristics. The results of this paper offer a more detailed analysis based on scientifically and empirically selected indicators and can be applied in the practice of spatial and urban planning, and in the adaptation of strategic development documents at the regional or national level.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90518378","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 : 2018-07-03DOI: 10.1080/00167223.2018.1503552
Alena Gessert, J. Nestorová-Dická, Ivo Sninčák
ABSTRACT Show caves are one of the most important targets in developing local ecotourism strategies. This work focuses on a tourism visit rate incidence through an Attractiveness Index concerning 12 selected show caves in Slovakia. Our study focuses on visitor counts published from 2000 to 2014. A set of eight criteria were selected in order to analyse and determine the appeal that each cave may have for visitors. Establishing the “degree” of appeal as an indicator of the tourism and geographic absolute attractiveness value is based on a principal components factor analysis; the resultant single factor was correlated with our selected criteria. We find a strong correlation between touristic cave attractiveness and cave locations, ease of cave passage access (vehicle and trail) infrastructures, cave location in main tourism regions, and the growth of urban areas as they encroach on show cave locations. Similar studies in valorization of show caves tourism have not been attempted in Slovakia or Eastern Europe. The data and result from this study are also clearly important from a managerial perspective. This general framework could be easily expanded to include additional attributes that might be relevant for other market segments or other vacation experiences.
{"title":"The dynamics of tourist excursion ratios in Slovakia show caves from 2000 to 2014","authors":"Alena Gessert, J. Nestorová-Dická, Ivo Sninčák","doi":"10.1080/00167223.2018.1503552","DOIUrl":"https://doi.org/10.1080/00167223.2018.1503552","url":null,"abstract":"ABSTRACT Show caves are one of the most important targets in developing local ecotourism strategies. This work focuses on a tourism visit rate incidence through an Attractiveness Index concerning 12 selected show caves in Slovakia. Our study focuses on visitor counts published from 2000 to 2014. A set of eight criteria were selected in order to analyse and determine the appeal that each cave may have for visitors. Establishing the “degree” of appeal as an indicator of the tourism and geographic absolute attractiveness value is based on a principal components factor analysis; the resultant single factor was correlated with our selected criteria. We find a strong correlation between touristic cave attractiveness and cave locations, ease of cave passage access (vehicle and trail) infrastructures, cave location in main tourism regions, and the growth of urban areas as they encroach on show cave locations. Similar studies in valorization of show caves tourism have not been attempted in Slovakia or Eastern Europe. The data and result from this study are also clearly important from a managerial perspective. This general framework could be easily expanded to include additional attributes that might be relevant for other market segments or other vacation experiences.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76418295","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 : 2018-07-03DOI: 10.1080/00167223.2018.1500490
A. Namangaya, R. Kiunsi
ABSTRACT The connection between city development patterns, housing and service provision is critical as it affects allocation of scarce resources in the cities of Sub Sahara Africa, where the adopted planning models and concepts seem to have minimal success. Through spatial analysis and quantitative research this study explores sequencing of servicing and housing development as it impacts city spatial growth patterns in a context of resource deficiency in Dar es Salaam City. The study finds that despite households’ land ownership being crucial in city spatial expansion process towards residential house ownership, their actual construction and occupation will depend on the accessibility of services. Moreover, it was established that as more services become available, proportionally, number of people settling in new areas increases. Since this process happens equally in planned and unplanned settlements, this study indicates that it is the availability of services and not land allocation that triggers actual development of residential housing. Thus, service provision determines the pace of change in short and medium city spatial patterns. This implies that in the context of public resource deficiency and self-help housing, strategic investments in basic services such as electricity connection, public transport and portable water is the way to influence actual city development pattern rather than providing plots.
{"title":"Assessing the influences of service provision on pace and short and medium term development patterns of residential housing in Dar es Salaam","authors":"A. Namangaya, R. Kiunsi","doi":"10.1080/00167223.2018.1500490","DOIUrl":"https://doi.org/10.1080/00167223.2018.1500490","url":null,"abstract":"ABSTRACT The connection between city development patterns, housing and service provision is critical as it affects allocation of scarce resources in the cities of Sub Sahara Africa, where the adopted planning models and concepts seem to have minimal success. Through spatial analysis and quantitative research this study explores sequencing of servicing and housing development as it impacts city spatial growth patterns in a context of resource deficiency in Dar es Salaam City. The study finds that despite households’ land ownership being crucial in city spatial expansion process towards residential house ownership, their actual construction and occupation will depend on the accessibility of services. Moreover, it was established that as more services become available, proportionally, number of people settling in new areas increases. Since this process happens equally in planned and unplanned settlements, this study indicates that it is the availability of services and not land allocation that triggers actual development of residential housing. Thus, service provision determines the pace of change in short and medium city spatial patterns. This implies that in the context of public resource deficiency and self-help housing, strategic investments in basic services such as electricity connection, public transport and portable water is the way to influence actual city development pattern rather than providing plots.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91358003","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 : 2018-07-03DOI: 10.1080/00167223.2018.1498364
M. C. Morillo Balsera, S. Martínez-Cuevas, Iñigo Molina Sánchez, Cesar Garcia-Aranda, M. E. Martinez Izquierdo
ABSTRACT Property valuation studies often use classical statistics techniques. Among these techniques, the Artificial Neural Networks are the most applied, overcoming the inflexibility and the linearity of the hedonic models. Other researchers have used Geostatistics techniques, specifically the Kriging Method, for interpreting spatial-temporal variability and to predict housing unit prices. The innovation of this study is to highlight how the Kriging Method can help to better understand the urban environment, improving the results obtained by classical statistics. This study presents two different methods that share the general objective of extracting information regarding a city’s housing from datasets. The procedures applied are Ordinary Kriging (Geostatistics) and Multi-Layer Perceptron algorithm (Artificial Neural Networks). These methods were used to predict housing unit prices in the municipality of Pozuelo de Alarcon (Madrid). The implementation of both methods provides us with the urban characteristics of the study area and the most significant variables related to price. The main conclusion is that the Ordinary Kriging models and the Neural Networks models, applied to predicting housing unit prices are necessary methodologies to improve the information obtained in classical statistical techniques. Abbreviations: ANN: Artificial Neural Networks; OK: ordinary Kriging; MLP: multi-layer perceptron
房地产估价研究经常使用经典的统计技术。在这些技术中，人工神经网络是应用最多的，它克服了享乐模型的不灵活性和线性性。其他研究人员使用地质统计学技术，特别是克里格方法，来解释时空变化并预测住房单价。本研究的创新之处在于突出了克里格方法如何帮助更好地理解城市环境，改进了经典统计的结果。本研究提出了两种不同的方法，它们的共同目标是从数据集中提取有关城市住房的信息。应用的程序是普通克里格(地质统计学)和多层感知器算法(人工神经网络)。这些方法用于预测Pozuelo de Alarcon市(马德里)的住房单价。这两种方法的实施为我们提供了研究区域的城市特征和与价格相关的最显著变量。本文的主要结论是，将普通克里格模型和神经网络模型应用于住房价格预测是改进经典统计技术所获得信息的必要方法。缩写:ANN:人工神经网络;OK:普通克里格;多层感知器
{"title":"Artificial neural networks and geostatistical models for housing valuations in urban residential areas","authors":"M. C. Morillo Balsera, S. Martínez-Cuevas, Iñigo Molina Sánchez, Cesar Garcia-Aranda, M. E. Martinez Izquierdo","doi":"10.1080/00167223.2018.1498364","DOIUrl":"https://doi.org/10.1080/00167223.2018.1498364","url":null,"abstract":"ABSTRACT Property valuation studies often use classical statistics techniques. Among these techniques, the Artificial Neural Networks are the most applied, overcoming the inflexibility and the linearity of the hedonic models. Other researchers have used Geostatistics techniques, specifically the Kriging Method, for interpreting spatial-temporal variability and to predict housing unit prices. The innovation of this study is to highlight how the Kriging Method can help to better understand the urban environment, improving the results obtained by classical statistics. This study presents two different methods that share the general objective of extracting information regarding a city’s housing from datasets. The procedures applied are Ordinary Kriging (Geostatistics) and Multi-Layer Perceptron algorithm (Artificial Neural Networks). These methods were used to predict housing unit prices in the municipality of Pozuelo de Alarcon (Madrid). The implementation of both methods provides us with the urban characteristics of the study area and the most significant variables related to price. The main conclusion is that the Ordinary Kriging models and the Neural Networks models, applied to predicting housing unit prices are necessary methodologies to improve the information obtained in classical statistical techniques. Abbreviations: ANN: Artificial Neural Networks; OK: ordinary Kriging; MLP: multi-layer perceptron","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76057829","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 : 2018-02-12DOI: 10.1080/00167223.2018.1436447
P. Wiśniewski, M. Kistowski
Abstract Agriculture is often not included in the baseline greenhouse gas (GHG) emission inventories created for local low carbon economy plans in Poland and other European countries. We therefore estimate the size of the carbon footprint from agricultural sources and indicate the share of agriculture in the total GHG emissions in selected Polish communes (LAU level 2). We propose a solution whereby local government units can estimate their carbon footprint independently and monitor the impact of actions taken to reduce emissions. The value of the carbon footprint from agriculture in the selected communes varies from .5 to 46.5 thousand Mg CO2eq/year, with a mean value of 12.6 thousand Mg CO2eq/year and a standard deviation of 11.4 thousand Mg CO2eq/year. Per capita, these values range from 10 kg CO2eq/year to 8.4 Mg CO2eq/year, with a mean of 1.1 Mg CO2eq/year and a standard deviation of 1.5 Mg CO2eq/year. In all communes, the contribution of agriculture to total emissions is at an average of 14% (values range from .2 to 57.4%). The obtained results confirm the appropriateness of including emissions from the agricultural sector and other related sources in low carbon economy plans.
{"title":"Assessment of greenhouse gas emissions from agricultural sources in order to plan for needs of low carbon economy at local level in Poland","authors":"P. Wiśniewski, M. Kistowski","doi":"10.1080/00167223.2018.1436447","DOIUrl":"https://doi.org/10.1080/00167223.2018.1436447","url":null,"abstract":"Abstract Agriculture is often not included in the baseline greenhouse gas (GHG) emission inventories created for local low carbon economy plans in Poland and other European countries. We therefore estimate the size of the carbon footprint from agricultural sources and indicate the share of agriculture in the total GHG emissions in selected Polish communes (LAU level 2). We propose a solution whereby local government units can estimate their carbon footprint independently and monitor the impact of actions taken to reduce emissions. The value of the carbon footprint from agriculture in the selected communes varies from .5 to 46.5 thousand Mg CO2eq/year, with a mean value of 12.6 thousand Mg CO2eq/year and a standard deviation of 11.4 thousand Mg CO2eq/year. Per capita, these values range from 10 kg CO2eq/year to 8.4 Mg CO2eq/year, with a mean of 1.1 Mg CO2eq/year and a standard deviation of 1.5 Mg CO2eq/year. In all communes, the contribution of agriculture to total emissions is at an average of 14% (values range from .2 to 57.4%). The obtained results confirm the appropriateness of including emissions from the agricultural sector and other related sources in low carbon economy plans.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74683675","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 : 2018-01-02DOI: 10.1080/00167223.2017.1386582
L. Salvati, A. Ferrara, F. Chelli
Abstract Urban forms are increasingly reflective of socio-economic change in metropolitan regions. The present study illustrates an original approach to identify latent mechanisms of urban growth through the analysis of metropolitan spatial structures and their proximate drivers of change. Urban transformations are evaluated here using built-up patches as the elementary analysis unit and background socio-economic attributes at four stages of the “city life cycle” (urbanization, suburbanization, dis-urbanization, re-urbanization). Regression models based on 13 indicators assessing urban patch area and shape, nearest neighbour urban patch area and shape, elevation, distance from 5 urban centres, 2 road infrastructures and sea coastline, were run with the aim to investigate direction and intensity of metropolitan growth in post-war Athens (1948–2012), a southern European city shifting from a compact mono-centric form towards discontinuous urban structures. Mono-centric configurations were characterized by linear dependence of urban patch size from the distance to central cities. Shifts toward scattered urban forms were associated with changes in the multivariate relationship between urban patch size and territorial drivers, pointing out the increased complexity of dispersed metropolitan structures. Our approach integrates economic and ecological visions of urban landscapes and contributes to understanding long-term mechanisms of metropolitan growth under dynamic spatial equilibriums. Investigating the multiple relationships between form and functions at the base of socio-economic transformations are relevant issues when identifying and profiling urbanization cycles.
{"title":"Long-term growth and metropolitan spatial structures: an analysis of factors influencing urban patch size under different economic cycles","authors":"L. Salvati, A. Ferrara, F. Chelli","doi":"10.1080/00167223.2017.1386582","DOIUrl":"https://doi.org/10.1080/00167223.2017.1386582","url":null,"abstract":"Abstract Urban forms are increasingly reflective of socio-economic change in metropolitan regions. The present study illustrates an original approach to identify latent mechanisms of urban growth through the analysis of metropolitan spatial structures and their proximate drivers of change. Urban transformations are evaluated here using built-up patches as the elementary analysis unit and background socio-economic attributes at four stages of the “city life cycle” (urbanization, suburbanization, dis-urbanization, re-urbanization). Regression models based on 13 indicators assessing urban patch area and shape, nearest neighbour urban patch area and shape, elevation, distance from 5 urban centres, 2 road infrastructures and sea coastline, were run with the aim to investigate direction and intensity of metropolitan growth in post-war Athens (1948–2012), a southern European city shifting from a compact mono-centric form towards discontinuous urban structures. Mono-centric configurations were characterized by linear dependence of urban patch size from the distance to central cities. Shifts toward scattered urban forms were associated with changes in the multivariate relationship between urban patch size and territorial drivers, pointing out the increased complexity of dispersed metropolitan structures. Our approach integrates economic and ecological visions of urban landscapes and contributes to understanding long-term mechanisms of metropolitan growth under dynamic spatial equilibriums. Investigating the multiple relationships between form and functions at the base of socio-economic transformations are relevant issues when identifying and profiling urbanization cycles.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73663525","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 : 2018-01-02DOI: 10.1080/00167223.2017.1405734
T. Makkonen, Allan M. Williams
Abstract Cross-border innovation cooperation (CBIC) has been heralded as one of the corner stones of innovation-driven growth opportunities for firms located in cross-border regions (CBRs). The success of this cooperation is affected by varying types of proximities identified in the literature as geographical, institutional, cultural, cognitive, technological, organizational and social. Although the topic has been widely discussed, the validation of the concept of proximity vis-à-vis CBIC has been persistently hindered by a lack of readily available empirical metrics. Therefore, this research note attempts to operationalize the varying types of proximity – in relation to CBIC – in the form of a questionnaire tested through pilot studies of two CBRs, at the Finnish–Swedish and Danish–German border, and for two contrasting service industries, namely knowledge-intensive business services and tourism. The findings indicate that the developed survey metrics are effective in depicting the phenomenon of proximity. The foundational work undertaken in this research note provides a platform, and catalyst, for more extensive investigations of the topic.
{"title":"Developing survey metrics for analysing cross-border proximity","authors":"T. Makkonen, Allan M. Williams","doi":"10.1080/00167223.2017.1405734","DOIUrl":"https://doi.org/10.1080/00167223.2017.1405734","url":null,"abstract":"Abstract Cross-border innovation cooperation (CBIC) has been heralded as one of the corner stones of innovation-driven growth opportunities for firms located in cross-border regions (CBRs). The success of this cooperation is affected by varying types of proximities identified in the literature as geographical, institutional, cultural, cognitive, technological, organizational and social. Although the topic has been widely discussed, the validation of the concept of proximity vis-à-vis CBIC has been persistently hindered by a lack of readily available empirical metrics. Therefore, this research note attempts to operationalize the varying types of proximity – in relation to CBIC – in the form of a questionnaire tested through pilot studies of two CBRs, at the Finnish–Swedish and Danish–German border, and for two contrasting service industries, namely knowledge-intensive business services and tourism. The findings indicate that the developed survey metrics are effective in depicting the phenomenon of proximity. The foundational work undertaken in this research note provides a platform, and catalyst, for more extensive investigations of the topic.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87959096","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 : 2018-01-02DOI: 10.1080/00167223.2017.1419369
Smiljana Đukičin Vučković, Jasmina P. Đorđević, Jelena Milanković Jovanov, Ljubica Ivanović Bibić, Branko M. Protić, T. Đorđević, Milan Ivkov
Abstract In the last decades, the development of transport infrastructure has been necessary because of the population increase and expansion of urban centres. Infrastructure development leads to modification and changes in areas characterized by high human population density. The lack of adequate transport infrastructure inhibits local economic and social performance. In the period of economic stability (from 1970 to 1990), important roads that increased the connectedness of the Kolubara District (Western Serbia) with other parts of the country and the surrounding countries were built, but there is still a need for the construction of new roads. In order to examine the attitude of the local population in regard to transport infrastructure, a survey was conducted using a questionnaire consisting of closed questions. This topic is one that has not previously been examined. The data obtained were analyzed statistically and showed that local people have a positive attitude towards the existing infrastructure and towards the construction of new roads. There are statistically significant differences between the attitudes of the local population in different municipalities. The results from this research offer an opportunity to develop guidelines which can influence traffic development in these and similar areas.
{"title":"The development of transport infrastructure and attitudes of the local population: a case study from the Republic of Serbia","authors":"Smiljana Đukičin Vučković, Jasmina P. Đorđević, Jelena Milanković Jovanov, Ljubica Ivanović Bibić, Branko M. Protić, T. Đorđević, Milan Ivkov","doi":"10.1080/00167223.2017.1419369","DOIUrl":"https://doi.org/10.1080/00167223.2017.1419369","url":null,"abstract":"Abstract In the last decades, the development of transport infrastructure has been necessary because of the population increase and expansion of urban centres. Infrastructure development leads to modification and changes in areas characterized by high human population density. The lack of adequate transport infrastructure inhibits local economic and social performance. In the period of economic stability (from 1970 to 1990), important roads that increased the connectedness of the Kolubara District (Western Serbia) with other parts of the country and the surrounding countries were built, but there is still a need for the construction of new roads. In order to examine the attitude of the local population in regard to transport infrastructure, a survey was conducted using a questionnaire consisting of closed questions. This topic is one that has not previously been examined. The data obtained were analyzed statistically and showed that local people have a positive attitude towards the existing infrastructure and towards the construction of new roads. There are statistically significant differences between the attitudes of the local population in different municipalities. The results from this research offer an opportunity to develop guidelines which can influence traffic development in these and similar areas.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86410231","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 : 2018-01-02DOI: 10.1080/00167223.2017.1393344
R. F. Ginzburg, A. Thulstrup, T. T. Nielsen
Abstract A series of policies on land tenure have been implemented in Vietnam following the doi moi restructuring. This study assesses the impacts of these policies, the extent to which they have had intended effects and coping strategies adopted by farmers. Data were collected in five upland villages in Nghe An Province, North Central Vietnam. The intended effects of the land allocation policies were poverty alleviation, intensification of agriculture, agricultural modernization and forest protection. The policies implemented to achieve these goals include changes in land allocation, purportedly to increase land tenure security. However, the policies have been implemented in a very uneven manner and the effects differ widely due to differences in the local contexts in which they have been implemented. In general, farmers perceive the impacts of policies as adverse and have attempted to cope with their impact in a variety of ways. The paper argues that land allocation policies have: (1) decreased the amount of land available, (2) not improved land tenure security and (3) had a limited impact on farming practices. The differences between the five villages are great, demonstrating the very different results produced by national policies depending on the specific implementation modality and the local context.
{"title":"Impacts of – and farmers’ adaptation to – land allocation policies in the north central uplands of Vietnam","authors":"R. F. Ginzburg, A. Thulstrup, T. T. Nielsen","doi":"10.1080/00167223.2017.1393344","DOIUrl":"https://doi.org/10.1080/00167223.2017.1393344","url":null,"abstract":"Abstract A series of policies on land tenure have been implemented in Vietnam following the doi moi restructuring. This study assesses the impacts of these policies, the extent to which they have had intended effects and coping strategies adopted by farmers. Data were collected in five upland villages in Nghe An Province, North Central Vietnam. The intended effects of the land allocation policies were poverty alleviation, intensification of agriculture, agricultural modernization and forest protection. The policies implemented to achieve these goals include changes in land allocation, purportedly to increase land tenure security. However, the policies have been implemented in a very uneven manner and the effects differ widely due to differences in the local contexts in which they have been implemented. In general, farmers perceive the impacts of policies as adverse and have attempted to cope with their impact in a variety of ways. The paper argues that land allocation policies have: (1) decreased the amount of land available, (2) not improved land tenure security and (3) had a limited impact on farming practices. The differences between the five villages are great, demonstrating the very different results produced by national policies depending on the specific implementation modality and the local context.","PeriodicalId":45790,"journal":{"name":"Geografisk Tidsskrift-Danish Journal of Geography","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79976226","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 : 2018-01-02DOI: 10.1080/00167223.2017.1343673
R. Kot
Abstract Geomorphological diversity is part of geodiversity. Study and evaluation of geodiversity, including geomorphological diversity, is often conducted in uplands and mountains, despite the fact that lowland areas are of equal importance. This paper evaluates geomorphological diversity in a small area of the Polish Lowland, using a variety of methods that have been applied in recent times for evaluating geodiversity, and presents the results on maps. By comparing these maps and analyzing the correlation coefficients of the results obtained, it was possible to identify the two methods that were best suited to indicating areas with the greatest geomorphological diversity in the lowlands. These two methods are least affected by the choice of elementary fields and data classification methods applied. The study identified the two areas with the greatest relief diversity and showed that they distinctly differ from one another. They demonstrate the major influence of processes, not only on the topographic parameters and landform types, but above all on identifying and defining total geomorphological diversity. These methods, which can be used to identify the areas with the greatest total geomorphological diversity, could readily be used in applied studies relating to abiotic ecosystem services and landscape management.
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