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  Subjects -> COMPUTER SCIENCE (Total: 1991 journals)
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    - COMPUTER SCIENCE (1157 journals)
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COMPUTER SCIENCE (1157 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 13)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 23)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 14)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 5)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 21)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 25)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 16)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 14)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Human-Computer Interaction     Open Access   (Followers: 20)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 38)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 2)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 8)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 9)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 4)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 7)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 7)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 2)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 14)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 132)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 6)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 312)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 32)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 44)
British Journal of Educational Technology     Hybrid Journal   (Followers: 129)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
Cell Communication and Signaling     Open Access   (Followers: 1)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 12)
Circuits and Systems     Open Access   (Followers: 16)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 53)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access  
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 14)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 13)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 31)
Computer     Full-text available via subscription   (Followers: 87)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 7)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 8)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 21)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 10)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 1)
Computer Music Journal     Hybrid Journal   (Followers: 16)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computer Science and Information Technology     Open Access   (Followers: 12)
Computer Science Education     Hybrid Journal   (Followers: 13)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 10)
Computer Science Review     Hybrid Journal   (Followers: 10)

        1 2 3 4 5 6 | Last

Journal Cover Applied Spatial Analysis and Policy
  [SJR: 0.351]   [H-I: 9]   [4 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1874-4621 - ISSN (Online) 1874-463X
   Published by Springer-Verlag Homepage  [2352 journals]
  • Quantifying the Spatiotemporal Trends of Urban Sprawl Among Large U.S.
           Metropolitan Areas Via Spatial Metrics
    • Authors: Neil Debbage; Bradley Bereitschaft; J. Marshall Shepherd
      Pages: 317 - 345
      Abstract: Spatial metrics have emerged as a widely utilized tool to quantify urban morphologies and monitor urban sprawl. Since previous applications of spatial metrics have typically considered only a single urban class, this study evaluates how deriving spatial metrics from multiple land use/land cover (LULC) classification schemes can help elucidate the spatiotemporal trends of urban sprawl. Specifically, the urban morphologies of the fifty most populous metropolitan areas in the U.S. were quantified in 2001 and 2011 using spatial metrics derived from two LULC classification schemes: the more common urban/non-urban binary and a non-binary that considered four urban classes individually. The results indicated that many of the spatial metrics were significantly correlated with existing sprawl indices, suggesting that they accurately quantified components of urban form associated with urban sprawl. More sprawl-like morphologies were typically located in the Eastern region of the U.S. although the regional variability of select spatial metrics was dependent on the LULC classification scheme. Over the 10-year study period, spatial metric-based sprawl indices that compared the relative abundance of low and high intensity urban development suggested that sprawl attributable to low-density single family residential suburbs generally decreased among most metropolitan areas. However, detailed case studies revealed that sprawling development was still likely increasing within particular metros in the form of strip commercial development. Overall, the findings highlight the importance of considering multiple classification schemes to maximize the utility of spatial metrics for urban morphological analysis and urban planning.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9190-6
      Issue No: Vol. 10, No. 3 (2017)
       
  • Revisiting a Hegemonic Concept: Long-term ‘Mediterranean Urbanization’
           in Between City Re-polarization and Metropolitan Decline
    • Authors: Margherita Carlucci; Efstathios Grigoriadis; Kostas Rontos; Luca Salvati
      Pages: 347 - 362
      Abstract: Urban development in southern Europe differs from urbanization patterns observed in other affluent countries. Urbanization processes in the Mediterranean region reflect heterogeneous spatial forms and more similar socioeconomic dynamics. Rejecting a unique ‘Mediterranean city’ model, this study proposes a thorough analysis of post-war urban development in four southern European countries (Greece, Italy, Portugal and Spain) focusing on homogeneous patterns and possible sources of heterogeneity in spatio-temporal trends of individual city expansion. Urbanization without industrialization - boosted by the informal economy and the development of traditional services - has driven the growth of large cities through agglomeration economies enhanced by internal immigration. This trend has deflated shortly after the end of the baby boom, favoring slow dynamics towards spatially-balanced settlements and determining a recovery of medium-sized cities, which have been further consolidated with the economic crisis.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9186-2
      Issue No: Vol. 10, No. 3 (2017)
       
  • The Path-Dependency of Low-Income Neighbourhood Trajectories: An Approach
           for Analysing Neighbourhood Change
    • Authors: Merle Zwiers; Reinout Kleinhans; Maarten Van Ham
      Pages: 363 - 380
      Abstract: The gap between wealthy and disadvantaged neighbourhoods seems to be increasing in many contemporary Western cities. Most studies of neighbourhood change focus on specific case-studies of neighbourhood downgrading or gentrification. Studies investigating socio-spatial polarisation in larger urban areas often compare neighbourhoods at two points in time, neglecting the underlying dynamic character of neighbourhoods. In the current literature, the question if neighbourhoods with similar characteristics experience similar changes over time remains unanswered. As a result, it is unclear why some neighbourhoods appear to be more prone to change than others. In this paper, we propose a dual approach for analysing neighbourhood change. We argue that researchers should both adopt a long-term perspective (20–40 years), because significant changes are only visible after longer periods of time, and focus on more detailed neighbourhood trajectories to understand how neighbourhood change is interrelated with context. Focussing on Dutch neighbourhoods over the period 1971–2013, we analyse the role of physical characteristics on low-income neighbourhood trajectories using an innovative visualisation technique. A tree-structured discrepancy analysis allows for the visualisation of complete neighbourhood pathways, enabling the analysis of complex, contextualised patterns of change. We find that the original quality of neighbourhoods and dwellings seems to be an important predictor for future neighbourhood trajectories, indicating a high level of path-dependency.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9189-z
      Issue No: Vol. 10, No. 3 (2017)
       
  • The Relationship Between Urban Morphology and Street Lighting Operating
           Costs: Evidence from Medium-sized Spanish Cities
    • Authors: Francisco Javier Garrido-Jiménez; Francesc Magrinyá; María Consuelo del Moral-Ávila; Gustavo Rodríguez-García
      Pages: 381 - 399
      Abstract: The design and operation of urban public infrastructure has a large impact on the future economic and environmental sustainability of the urban system. However, those factors are not usually considered when the city is planned, and it is difficult to ensure that urban planning will create more sustainable cities. Therefore, knowledge of the relationship between planning variables and future operating cost of urban public services can help to improve the decision-making process in the early stages of urban planning. In a set of Spanish cities on two different territorial levels, the degree of correlation between three of the urban planning variables that define the urban morphology and the operating cost of street lighting infrastructure has been analysed. The study shows that at whole city level, the operating cost is closely related to housing density and relative length of roads, while for new residential developments, the most crucial urban variable is the relative area occupied by the streets. It has also become clear that per area and per capita operating cost of illuminating newly developed areas is significantly higher than the average cost for the whole city.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9187-1
      Issue No: Vol. 10, No. 3 (2017)
       
  • Comparative Analysis of Urban Competitiveness in the Yangtze River Delta
           and Pearl River Delta Regions of China, 2000–2010
    • Authors: Lei Wang; Jianfa Shen
      Pages: 401 - 419
      Abstract: Many studies have employed the perspective of urban competitiveness to understand the development and restructuring of cities and regions in the context of economic globalization, while a few studies have made comparative analyses of urban competitiveness and competitive advantages in different regions. This paper makes a systematic comparison of urban competitiveness in Yangtze River Delta (YRD) and Pearl River Delta (PRD) in China in the period 2000–2010. Although, YRD and PRD are two most advanced regions in China, they have rarely been compared in terms of urban competitive advantages and regional spatial restructuring. Urban competitiveness is assessed using a four-level hierarchal evaluation system with a total of 59 indicators. The results show that, among the four dimensions of economic, social, environmental, and connectivity competitiveness, economic competitiveness had the most significant correlation with the overall urban competitiveness in 2000 and 2010, while environmental competitiveness had become less consistent with the overall urban competitiveness in the period. In general, cities in YRD outperformed those in PRD in terms of improvement in the relative competitiveness in the period 2000–2010. The primate city in PRD (Shenzhen in 2000 and Guangzhou in 2010) was much weaker than its counterpart in YRD (Shanghai). But the top three competitive cities in PRD became more dominant than those in YRD over the decade. There was a trend of convergence in urban competitiveness in YRD, while an opposite trend was observed in PRD. The result implies that the urban system in YRD was more mature than that in PRD.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9210-6
      Issue No: Vol. 10, No. 3 (2017)
       
  • Spatiotemporal Analysis of Housing Prices in China: A Big Data Perspective
    • Authors: Shengwen Li; Xinyue Ye; Jay Lee; Junfang Gong; Chenglin Qin
      Pages: 421 - 433
      Abstract: Due to the rapid economic growth and urbanization, China’s real estate industry has been undergoing a fast-paced development in recent decades. However, the spatial imbalance between the economic growth in urban and that in rural areas and the excessive growth and fluctuations of house prices in both areas had quickly caught public’s attention. Not surprisingly, these issues had become a focus of urban and regional economic research. Efficient and accurate prediction of housing prices remains a much needed but disputable topic. Currently, based on the trends and changes in the financial market, population migration and urbanization processes, numerous case studies have been developed to evaluate the mechanism of real estate’s price fluctuations. However, few studies were conducted to examine the space-time dynamics of how housing prices fluctuated from a big data perspective. Using data from China’s leading online real estate platform {sofang.com}, we investigated the spatiotemporal trends of the fluctuations of housing prices in the context of big data. This paper uses spatial data analytics and modeling techniques to: first, identify the spatial distribution of housing prices at micro level; second, explore the space-time dynamics of residential properties in the market; and third, detect if there exist geographic disparity in terms of housing prices. Results from our analysis revealed the space-time patterns of the housing prices in a large metropolitan area, demonstrating the utility of big data and means of analyzing big data.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9185-3
      Issue No: Vol. 10, No. 3 (2017)
       
  • The Influence of On-Premise and Off-Premise Alcohol Outlets on Reported
           Violent Crime in the Region of Waterloo, Ontario: Applying Bayesian
           Spatial Modeling to Inform Land Use Planning and Policy
    • Authors: Matthew Quick; Jane Law; Hui Luan
      Pages: 435 - 454
      Abstract: This research analyzes the association between alcohol outlets and reported violent crime at the small-area level in the Region of Waterloo, Ontario, Canada. Alcohol outlets are hypothesized to be associated with high violent crime, primarily because they bring together large numbers of potential offenders and targets, and from a policy perspective, alcohol outlets are a modifiable land use risk factor that can be addressed through land use planning and policy. Results show that both on- and off-premise alcohol outlets are positively associated with reported violent crime after accounting for socioeconomic characteristics. Using small-area risk estimates resulting from Bayesian spatial regression models, map decomposition visualizes the geographic pattern of violent crime risk and the contribution of specific risk factors at the small-area scale, and violent crime hotspots are identified based on posterior probability of relative risk. Applying results to land use planning and policy, we identify small-areas that may be preferred for proposed alcohol outlets based on specific criteria such as low violent crime risk and low risk due to alcohol outlets. We also discuss how the results of this research inform law enforcement initiatives.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9191-5
      Issue No: Vol. 10, No. 3 (2017)
       
  • Erratum to: Agricultural Land Consumption in Periurban Areas: a
           Methodological Approach for Risk Assessment Using Artificial Neural
           Networks and Spatial Correlation in Northern Italy
    • Authors: Chiara Mazzocchi; Stefano Corsi; Guido Sali
      Pages: 455 - 455
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9205-3
      Issue No: Vol. 10, No. 3 (2017)
       
  • Detecting Foreigners’ Spatial Residential Patterns in Urban
           Contexts: Two Tales from Italy
    • Authors: Federico Benassi; Fabio Lipizzi; Salvatore Strozza
      Abstract: The paper presents an original application of the Gini’s centre of population (MC) and its Standard Deviational Ellipse (SDE) in the field of spatial distribution of foreigners. The proposed measures have been applied to the top five foreign communities (and Italians) counted in 2011 Italian demographic census in the municipality of Rome and Naples. The results show that, compared to Italians, in both municipalities the communities coming from Asia show spatial distributions characterized by quite clear residential patterns: a tendency to have high levels of spatial concentration and the centre of gravity (or mean centre) located at comparatively high distances from the one of the Italians. On the contrary, the communities coming from Central and Eastern Europe present a spatial residential pattern characterized by a quite high level of spatial dispersion and a centre of gravity very close to the one of the Italians. In an intermediate situation between these two spatial patterns there are the Peruvians. Some explanatory hypotheses are advanced. The Gini’s centre of population and its Standard Deviational Ellipse seem capable to synthesize the spatial distribution of foreign population and to detect their residential patterns.
      PubDate: 2017-10-23
      DOI: 10.1007/s12061-017-9243-5
       
  • Income and Population Dynamics in Deprived Neighbourhoods: Measuring the
           Poverty Turnover Rate Using Administrative Data
    • Authors: Mark Fransham
      Abstract: Many studies of neighbourhood deprivation have confirmed that there is more continuity than change in the geography of deprivation. This stable geography can lead to an unwarranted inference that the households living on low incomes in these areas comprise a relatively static population. This paper develops the use of administrative data for the longitudinal observation of low income families in small areas, which is underdeveloped despite the widespread use of administrative data in the cross-sectional measurement of neighbourhood deprivation. An empirical measure of local poverty dynamics - the poverty turnover rate – is introduced, and created for small areas using housing benefit data for the city of Oxford between 2010 and 2014. A high turnover of poor families is observed and the poverty turnover rate is able to identify small areas with higher and lower turnover rates than the average for the city. The high turnover rates discovered in this study suggest that in this city it is primarily the flows of people in and out of the area, and in and out of low income, that maintains the concentration of poor families, rather than a static population of poor families. This approach can be used to provide a richer understanding of the population and income dynamics that underpin stability and change in the geography of poverty, of use to regeneration policy and the academic studies of gentrification, health inequalities and neighbourhood effects.
      PubDate: 2017-10-16
      DOI: 10.1007/s12061-017-9242-6
       
  • Spatial Distribution of Malnutrition among Children Under Five in Nigeria:
           A Bayesian Quantile Regression Approach
    • Authors: Ezra Gayawan; Samson B. Adebayo; Akinola A. Komolafe; Abayomi A. Akomolafe
      Abstract: Issues of malnutrition among young children in developing countries are gaining more attention of policy-makers because of the adverse effects on the well-being of people and economic of these nations. Anthropometric variables used for determining malnutrition are measured through z-scores where those whose measures fall into the extreme ends of the scores are considered malnourished. Conditional mean regression has been adopted to examine the determinants but often times, covariates would have effect on the mean, but have no substantial influence on more extreme quantiles. We adopt Bayesian quantile regression approach to measure the spatial distributions of childhood undernutrition at state and local government levels in Nigeria. Markov random fields and Bayesian P-splines were used as priors for the spatial and nonlinear components respectively and estimation was through MCMC technique. Results show the existence of north-south divide in undernutrition in Nigeria and that observed socioeconomic variables could have little influence on the distribution of undernutrition across space in the country.
      PubDate: 2017-10-09
      DOI: 10.1007/s12061-017-9240-8
       
  • Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and
           Location-Based Methods
    • Authors: Jose Morales; Johannes Flacke; Javier Morales; Jaap Zevenbergen
      Abstract: Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as the easiness to reach land-uses by means of available mobility modes. Space Syntax instead analyses accessibility as network centrality focusing only on the topological and geometric properties of urban layouts, making it comparatively less data-intense. However, the interpretation of its outputs is limited to its own theory. Knowledge is missing on how such metrics are comparable to the metrics produced by location-based methods. The objective of the research was to compare both approaches for mapping urban accessibility in two cities in Guatemala. Our hypothesis tested the assumption that Space Syntax metrics could consistently reflect accessibility conditions that so far have only been measured by location-based methods. We proposed an approach using volunteered geo-information and produced accessibility maps following both approaches that were then compared using Pearson correlations. Space Syntax metrics at low and high radii are consistently correlated with location-based access to land uses that reflect location quality at neighbourhood and city-wide scale correspondingly. Space Syntax metrics at lower radii reflect time-based access restrictions either posed in the location-based analyses or by reduced accessibility by public transport. The hypothesis acceptance, p < 0.01, expands the scope of accessibility knowledge derivable from limited data availability using Space Syntax, which is relevant for its applicability in data-scarce contexts by planners and researchers in the Global South. Rather than replacing location-based methods Space Syntax offers an important complementary measure to geographical accessibility. This having been said, Space Syntax could contribute to early-stage planning by gaining overall insights into patterns of urban access.
      PubDate: 2017-10-02
      DOI: 10.1007/s12061-017-9239-1
       
  • The Cost of School Consolidation Policy: Implications from Decomposing
           School Commuting Distances in Yanqing, Beijing
    • Authors: Te-qi Dai; Liang Wang; Yu-chao Zhang; Cong Liao; Zheng-bing Liu
      Abstract: School consolidation may be an effective policy option in regions where demand for schooling is thin—after taking into account its effects on the school commuting distance, the education quality and economies of scale. The effects of consolidation on the educational quality and the economies of scale have been well researched; but studies on the commuting distance are limited in scope because they usually rely on comparing distances pre- and post-consolidation—which may exaggerate the consolidation’s effect. In this study, optimization approaches are used to decompose school commuting distances at Yanqing, Beijing, based on survey data. The costs of long-distance school commuting as a result of consolidation are estimated after decomposing the effects of school districting, school location and financial stimulation. The findings indicate that these factors contribute significantly to pupils’ long travel distance, and the negative effect of consolidation on school size standardization is exaggerated. These results imply that long-distance school commuting should not be the rationale for a suspension of the central government’s consolidation policy.
      PubDate: 2017-09-26
      DOI: 10.1007/s12061-017-9238-2
       
  • Can Urban Lake Recreational Pressure Be Measured' The Impacts of
           Urbanization on Wuhan’s Lakes
    • Authors: Yan Gao; Zutao Deng; Alastair M. Morrison
      Abstract: Recreational activities are becoming one of the most important functions of urban lakes, but the pressure caused by increasing use has not been given adequate research attention. With Wuhan in Hubei, China as the case study, this research applies ArcGis10.2 network analysis function in an accessibility analysis of its urban lakes. Lake recreational pressure (LRP) is measured by integrating the accessibility analysis with Kriging Interpolation results of the population density spatial distribution of 90 center city streets and the travel rate (TR) formula (adapted from Koch 1978). The results show that 96% of the total area of Wuhan’s lakes are reachable within 15 min, but this good accessibility leads to higher recreational pressure. Traffic accessibility and population density were positively correlated to lake recreational pressure. Wuhan’s urban lakes were divided into five categories by the lake recreational pressure index (LRPI). A lake pressure mitigation strategy is suggested, with the management, ecological conservation, recreational development, and spatial configuration being guided by the LRPI grades of each lake.
      PubDate: 2017-09-25
      DOI: 10.1007/s12061-017-9241-7
       
  • Improving Gender Equality in Higher Education in Turkey
    • Authors: Semra Gunay Aktas; Evrim Genc Kumtepe; Yeliz Mert Kantar; Ibrahim Cemil Ulukan; Sinan Aydin; Talha Aksoy; Fikret Er
      Abstract: Women’s representation in education-especially in higher education- is an important part of broader gender equity discussions. The gender imbalance in education is not a new issue; and Turkey is no exception. In fact, this has been the subject of an ongoing debate for years throughout the world. Governments from all around the world try to enhance gender equity in education, along with other facets of the issue, such as economical, social, work, etc. Since its inception, Turkey’s largest distance education provider Anadolu University, even though it is not an intended institutional policy, contribute to enhance the equal representation of both men and women in higher education. The study specifically aimed at to assess how gender ratio has evolved over 32 years, whether spatial clustering exists within the gender data around the country, and to what extent women were represented in higher education programs. To answer these queries, gender ratio datasets were examined using visual (mapping) and spatial cluster analyses. Findings support that, distant programs of the university have helped more women participate in higher education programs across the country over the years, leading to relatively more normalized distribution of gender in education across the geographical regions. Findings are encouraging for the University administration towards tailoring programs to attract more women, and the disadvantaged groups into the academic programs. Also, fee and payment structures of the courses can be re-aligned to better serve disadvantaged regions of the country. In addition, institutions all around the world providing mass distance education can review Anadolu University’s cost and program structure to create their own structures to enhance their gender equality issues in education.
      PubDate: 2017-09-22
      DOI: 10.1007/s12061-017-9235-5
       
  • Violence and Local Development in Fortaleza, Brazil: A Spatial Regression
           Analysis
    • Authors: Victor Hugo de Oliveira; Cleyber Nascimento de Medeiros; José Raimundo Carvalho
      Abstract: Fortaleza is the fifth largest city of Brazil, and has become the most violent state capital in the last years. In this paper, we investigate whether violent crime rates are associated with the local development of the city. Using an unexplored data source about georeferenced murders and deaths due to bodily injury and theft, we show that violent crime rates exhibit a positive spatial dependence across clusters of census tracts. In other words, small urban areas with high (low) violent crime rates have neighbors, on average, with similar pattern of violent crime rates. Investigating the relationship between violent crime rates and variables associated with local development, spatial regressions suggest that high violent crime rates are related with low-income neighborhood, with high spatial isolation of poor households, low access to urban infrastructure, and high prevalence of illiterate adolescents and young black males. The study also provides important evidence about spillover effects that helps to understand how the absence of local development can expose neighbors to violence.
      PubDate: 2017-09-20
      DOI: 10.1007/s12061-017-9236-4
       
  • Network Constrained Spatio-Temporal Hotspot Mapping of Crimes in
           Faisalabad
    • Authors: Shoaib Khalid; Fariha Shoaib; Tianlu Qian; Yikang Rui; Arezu Imran Bari; Muhammad Sajjad; Muhammad Shakeel; Jiechen Wang
      Abstract: The Network Kernel Density Estimation (NetKDE) is a useful tool for visualization of point events over a network space, but it lacks in expressing the statistical significance of the mapped phenomenon. In this paper, we discuss the network hotspot detection of street crimes by integrating the NetKDE and the Getis-Ord GI* statistics. We selected four types of network-constrained crimes, i.e., bike theft, car theft, robbery, and snatching. The NetKDE is a useful technique to study the patterns of crimes bounded by the road networks. We used the Spatial Analysis along Networks (SANET) tools for computing the Network Kernel Density Estimation (NetKDE) and utilized the results of the NetKDE as input values for computing the Getis-Ord GI* statistics. The combination of these two methods can detect the network-constrained hotspots that are statistically significant. We also performed the network K-function, the extension of the Ripley’s K-function on networks. The network K-function analysis displays the significant clustering of crime events at different scales. Results demonstrated that the intensity of street crimes are strongly concentrated in the central part of the city. Moreover, the results reflected that the functional nature of different urban land use affects the frequency of crime events. Various urban land uses such as commercial, residential and industrial area seemed to influence the distribution of different types of crimes. The hotspot analysis has real potential, impacting the police patrolling protocols. The methods presented in this study suggest that there is a need to distinguish the planar and network hotspots and crime prevention policies could be enacted according to the type of hotspots.
      PubDate: 2017-09-18
      DOI: 10.1007/s12061-017-9230-x
       
  • Exploring the Links Between Education and Income Inequality at the
           Municipal Level in Greece
    • Authors: Anastasia Panori; Yannis Psycharis
      Abstract: This paper builds upon the EU2020 strategy, following the smart and inclusive growth paradigm, that treats human capital as a central component of regional development. However, there are cases of smart growth policies, focusing on skills’ empowerment, which may not yield the expected results, in terms of social cohesion aspects. Given this fact, the role of regional specificities, such as the extent to which an economy is characterized by a knowledge-based structure, constitute essential parameters that need to be taken into consideration during a policy-design process. This study aims to provide an evidence-based sub-regional analysis to assist processes regarding place-based policy design for socio-economic inclusion, in the case of Greece. More specifically, it investigates the links between education and income inequality, at a municipal level during the period 1994–2012, using a balanced panel dataset. The results indicate a negative effect of educational level on the formation of income inequality, probably due to the lack of an advanced knowledge-based economic structure in the case of the Greek economy. The significance of incorporating local particularities in the analysis, such as human capital endowments and time-varying socio-economic disturbances, as the 2008 economic crisis, is also stressed. Finally, the econometric method used in this paper includes the development of a DSEM model estimated by a system GMM estimator.
      PubDate: 2017-09-14
      DOI: 10.1007/s12061-017-9234-6
       
  • Measuring Regional Differences in Labour Market Sensitivity in Hungary
    • Authors: Levente Alpek; Robert Tésits
      Abstract: The core of this study is the development of a statistical tool for measuring the regional labour market sensitivity. The goal is to present and apply a general index, which can be used in other disciplines as well. An additional objective is the evaluation of the social and economic processes affecting the labour market, and the identification of highly vulnerable areas exposed to crises. In this study, sensitivity means the relative volume of responsiveness to the labour market changes in the examined areas. Former spatial statistical methods have tried to identify the regional differentiating factors of unemployment; however, they did not reveal the extent to which the villages and towns were exposed to economic and employment changes. A new index provides this opportunity. It evaluates the processes of regional unemployment, the degree of exposure to the crisis and the employment mechanisms with particular regard to public employment programmes. The research explores and evaluates the specific labour market vulnerability and macro-regional structure of the settlements of Hungary with the help of the developed index. Thus at least three new elements of the national spatial structure will be revealed which enables us to prepare for socio-economic changes similar to the latest crisis.
      PubDate: 2017-09-14
      DOI: 10.1007/s12061-017-9237-3
       
  • Developing an Individual-level Geodemographic Classification
    • Authors: Luke Burns; Linda See; Alison Heppenstall; Mark Birkin
      Abstract: Geodemographics is a spatially explicit classification of socio-economic data, which can be used to describe and analyse individuals by where they live. Geodemographic information is used by the public sector for planning and resource allocation but it also has considerable use within commercial sector applications. Early geodemographic systems, such as the UK’s ACORN (A Classification of Residential Neighbourhoods), used only area-based census data, but more recent systems have added supplementary layers of information, e.g. credit details and survey data, to provide better discrimination between classes. Although much more data has now become available, geodemographic systems are still fundamentally built from area-based census information. This is partly because privacy laws require release of census data at an aggregate level but mostly because much of the research remains proprietary. Household level classifications do exist but they are often based on regressions between area and household data sets. This paper presents a different approach for creating a geodemographic classification at the individual level using only census data. A generic framework is presented, which classifies data from the UK Census Small Area Microdata and then allocates the resulting clusters to a synthetic population created via microsimulation. The framework is then applied to the creation of an individual-based system for the city of Leeds, demonstrated using data from the 2001 census, and is further validated using individual and household survey data from the British Household Panel Survey.
      PubDate: 2017-08-31
      DOI: 10.1007/s12061-017-9233-7
       
 
 
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