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  Subjects -> COMPUTER SCIENCE (Total: 1985 journals)
    - ANIMATION AND SIMULATION (29 journals)
    - ARTIFICIAL INTELLIGENCE (98 journals)
    - AUTOMATION AND ROBOTICS (98 journals)
    - CLOUD COMPUTING AND NETWORKS (63 journals)
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    - COMPUTER GAMES (16 journals)
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    - COMPUTER SCIENCE (1153 journals)
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    - DATA BASE MANAGEMENT (13 journals)
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    - INFORMATION SYSTEMS (104 journals)
    - INTERNET (92 journals)
    - SOCIAL WEB (50 journals)
    - SOFTWARE (33 journals)
    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1153 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: 12)
Abakós     Open Access   (Followers: 3)
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 67)
ACM Computing Surveys     Hybrid Journal   (Followers: 23)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 4)
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: 11)
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: 12)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 3)
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: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 9)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
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: 8)
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: 21)
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: 7)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
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: 13)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 53)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 25)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
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: 37)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access  
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 7)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 10)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 3)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 6)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 5)
Analysis in Theory and Applications     Hybrid Journal  
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 8)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
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: 1)
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: 32)
Applied Medical Informatics     Open Access   (Followers: 10)
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: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 122)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 5)
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  
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 3)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 9)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 4)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 293)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
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: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 119)
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: 13)
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: 11)
Communication Theory     Hybrid Journal   (Followers: 19)
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: 1)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 8)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 13)
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: 28)
Computer     Full-text available via subscription   (Followers: 83)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 6)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 7)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
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: 14)
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: 11)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)

        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  [2355 journals]
  • Measuring the Accessibility of Public Transport: A Critical Comparison
           Between Methods in Helsinki
    • Authors: X. Albacete; D. Olaru; V. Paül; S. Biermann
      Pages: 161 - 188
      Abstract: This research compares two location-based methods of evaluating public transport accessibility and applies them in Helsinki. After discussing a series of methodological aspects, the authors calculate the Structural Accessibility Layer (SAL) public transport indicator and the Public Transport and Walking Accessibility Index (PTWAI) for a grid with 8,325 zones, comparable in size to the smallest census unit. Both methods are operational for urban planners and policy makers interested in a relatively straightforward way of quantifying the accessibility of sustainable transport modes such as public transport. The results display similar accessibility patterns when moving from larger to smaller isochrones (60 to 38 min). However, the findings are inconclusive between SAL and PTWAI: SAL (38 min) displays good accessibility by public transport (more than 94 % of the population living within two-thirds of the metropolitan area has very high and high access to public transport), but PTWAI indicates that 35 % of the population, primarily households with children (43 %), experience low and very low access. The contrasting results are mainly due to the derivation of the two indicators and have considerable implications for policy making. The findings of this research imply that PTWAI is preferable to planning assessments regarding public transport, given its relatively richer content. However, for multi-mode-based accessibility categorization, SAL appears more appropriate. It is the analyst’s role to understand the objective and contents of each index and choose the tool fit for their purpose. Then, a judgement should be made on the trade-off between the detail of the measures and results and the computational burden. Given the sensitivity of the models to various input parameters and assumptions, cross-validation and replication are key for ascertaining the credibility and usefulness of the models.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-015-9177-8
      Issue No: Vol. 10, No. 2 (2017)
       
  • Communities as Neighborhood Guardians: A Spatio-Temporal Analysis of
           Community Policing in Nairobi's Suburbs
    • Authors: Lucy Mburu; Marco Helbich
      Pages: 189 - 210
      Abstract: The efficacy of citizens to participate in neighborhood-watch activities and report signs of trouble is important for safeguarding communities against crime. Community policing is a key policing strategy for utilizing the capability of residents to solve local crime-related problems. However, variability in social cohesion among communities profoundly affects the contribution of individuals towards policing. After 7 years of a community policing intervention in suburban Nairobi, Kenya, this study assesses the program as a state-initiated and community-sustained security venture. We compare micro-scaled concentrations of different property and violent crimes to identify geographic variations over time using kernel density estimates and spatio-temporal scan statistics. Multi-level regression models assess the direct and conditioned perceptions of individuals and their neighbors, and how these perceptions influenced crime variation during the pre- and post-intervention periods of community policing. Both the density estimates and the scan statistics pinpoint a disproportionate crime reduction across neighborhoods. The research findings also depict an interaction between the communal willingness to participate in neighborhood-watch activities and the relative crime decline. In particular, those communities that have good relations with the police are more inclined to involve themselves in community policing. The findings of this study are discussed in terms of their implications for policy.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-015-9178-7
      Issue No: Vol. 10, No. 2 (2017)
       
  • Analysing and Projecting Indigenous Migration in Australia
    • Authors: James Raymer; Nicolas Biddle; Paul Campbell
      Pages: 211 - 232
      Abstract: In this paper, a model is developed to project interregional migration flows for the Aboriginal and Torres Strait Islander (Indigenous) populations in Australia at the state and territory level by age and sex. Migration flow data, obtained from the three most recent Australian quinary censuses (2001, 2006 and 2011), are first assessed and analysed in comparison with the patterns of the corresponding non-Indigenous population. Log-linear models are used to identify the key structures and patterns over time. A model is then developed to project the migration flows by origin, destination, age and sex forward in 5-year increments to 2031. This includes incorporating techniques to overcome the small number cell issues associated with the very small population size of the Indigenous population. The results of this research provide (i) insights into the different migration patterns of an important but disadvantaged minority population in Australia and (ii) inputs for a dynamic multiregional model of Indigenous population change.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-015-9179-6
      Issue No: Vol. 10, No. 2 (2017)
       
  • Spatial Co-location Patterns of Aerospace Industry Firms in Mexico
    • Authors: Miguel Flores; Amado Villarreal; Saidi Flores
      Pages: 233 - 251
      Abstract: The Aerospace Industry (AI) is considered strategic in Mexico due to the opportunities it offers Mexican business communities to insert themselves into a global value chain of high competitive standards. Due to its production specificities, it needs to develop a chain of suppliers that may lead to externalities or intentional knowledge transfer and the creation of networks with local economies and business co-locations. This paper aims to investigate patterns of co-location of firms and establishments around the AI across Mexico. The analysis applies spatial statistical techniques to detect spatial agglomerations of different industrial sectors related to the AI. The findings include a detailed description of the spatial distribution of AI co-location patterns in terms of industrial branch and firm size. Results indicate that the AI industry is mainly spatially co-located by itself and by industries in the electronics, machinery and equipment sectors. Our findings could potentially provide input to policy makers in terms of clustering and public policies according to regionally productive vocations.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-015-9180-0
      Issue No: Vol. 10, No. 2 (2017)
       
  • Determinants of Outsourcing in U.S. Municipalities: Evidence from a
           Municipal Spatial Network Analysis
    • Authors: Zhiwei Zhang; Bryan Gibson
      Pages: 253 - 269
      Abstract: The use of outsourcing/privatization in the public sector has been steadily increasing for the past several decades. The trend is evident in all levels of governments around the world, and the U.S. is no exception. Although scholars from numerous disciplines have searched for causes of this trend, no consensus has been reached in the literature. This paper advances these efforts by identifying determinants of outsourcing in U.S. municipalities using spatial network analysis. We incorporate a spatial aspect to explore outsourcing decisions, which is a different approach from much of the literature. Empirical results indicate that a local government’s outsourcing decision is affected by nearby local jurisdictions. Additional findings indicate that external stakeholders’ involvement contributes to the use of outsourcing, whereas having a limited supply of service providers impedes it.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-016-9182-6
      Issue No: Vol. 10, No. 2 (2017)
       
  • Provincial Growth in Turkey: A Spatial Econometric Analysis
    • Authors: Pelin Akçagün
      Pages: 271 - 299
      Abstract: This study investigates the conditional income convergence hypotheses among provinces of Turkey over 1991–2009 period using a comprehensive set of spatial econometric models and two alternative definitions of spatial weights matrices. Particular attention is given to the alterations of the political and economic structures in the two sub-periods 1991–2001 and 2002–2009. We first consider non-spatial specification estimated by ordinary least squares and conduct tests to detect the evidence of spatiality in the data. The spatial econometric models are then estimated by maximum likelihood and compared to each other via likelihood ratio tests following a general-to-specific model selection procedure. The results indicate that different political and economic environments may lead not only to distinct convergence dynamics but also to dissimilar spatial relations. Spatial error model is the most appropriate specification for 1991–2009 and 2002–2009 periods whereas spatial cross-regressive model better characterizes the data for 1991–2001. The beta-convergence dynamics are observed in all periods, with noticeably higher rates for the post-2002 period.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-016-9183-5
      Issue No: Vol. 10, No. 2 (2017)
       
  • Using Routinely Collected Administrative Data in Public Health Research:
           Geocoding Alcohol Outlet Data
    • Authors: Richard J. Fry; Sarah E. Rodgers; Jennifer Morgan; Scott Orford; David L. Fone
      Pages: 301 - 315
      Abstract: We describe our process of geocoding alcohol outlets to create a national longitudinal exposure dataset for Wales, United Kingdom from 2006 to 2011. We investigated variation in the availability of data items and the quality of alcohol outlet addresses held within unitary authorities. We used a standard geocoding method augmented with a manual matching procedure to achieve a fully spatially referenced dataset. We found higher quality addresses are held for outlets based in urban areas, resulting in the automatic geocoding of 68 % of urban outlets, compared to 48 % in rural areas. Missing postcodes and a lack of address structure contributed to a lower geocoding proportion. An urban rural bias was removed with the development of a manual matching procedure. Only one-half of the unitary authorities provided data on on/off sales and opening times, which are important availability factors. The resulting outlet dataset is suitable for contributing to the evidence-base of alcohol availability and alcohol-related harm. Local government should be encouraged to use standardised data fields, including addresses, to enable accurate geocoding of alcohol outlets and facilitate research that aims to prevent alcohol-related harm. Standardising data collection would enable efficient secondary data reuse using record linkage techniques, allowing the retrospective creation and evaluation of population-based natural experiments to provide evidence for policy and practice.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-016-9184-4
      Issue No: Vol. 10, No. 2 (2017)
       
  • Regional Endogenous Development Based on Conceptualizing a Regional
           Productivity Model for Application in Iran
    • Authors: Mohammad Hossein Sharifzadegan; Behzad Malekpourasl; Roger Stough
      Pages: 43 - 75
      Abstract: This paper attempts to conceptualize and examine regional productivity in terms of the regional endogenous development of Iran’s regions. The paper introduces a conceptual model for the study and then develops and tests the model with data for the primary regions of Iran. Large and positive correlation is found between measures of latent and explanatory independent and dependent variables in the regional productivity model. Specifically it is found that such endogenous factors as agglomeration and clustering is a critical driving force for achieving increased regional productivity and thus the tailoring of polices to support regional endogenous development and growth.
      PubDate: 2017-03-01
      DOI: 10.1007/s12061-015-9169-8
      Issue No: Vol. 10, No. 1 (2017)
       
  • Strategy of Spatial Panel Estimation: Spatial Spillovers Between Taxation
           and Economic Growth
    • Authors: K. Kopczewska; J. Kudła; K. Walczyk
      Pages: 77 - 102
      Abstract: Spatial panels are a powerful econometric tool for the estimation of space-dependent cross-sectional time-series models of economic phenomena. A plethora of parameters and possible specifications require a systematic approach to estimation. This paper presents a strategy of estimation to be considered in applied research on economic policy, including the concept of spatial spillovers and its local and global effects, direct and indirect impacts, as well as the role of different spatial weighting schemes. The paper presents fiscal factors affecting GDP between the years 2002–2015 in a number of European economies.
      PubDate: 2017-03-01
      DOI: 10.1007/s12061-015-9170-2
      Issue No: Vol. 10, No. 1 (2017)
       
  • Monetary Policy and the Time-Varying Spatial Effects of Bilateral Trade:
           Evidence from China-ASEAN-5 Countries
    • Authors: Po-Chin Wu; Shiao-Yen Liu
      Pages: 103 - 120
      Abstract: This paper examines the China–ASEAN (Association of Southeast Asian Nations)-5 bilateral trade balances by using a time-space simultaneous gravity model with a panel smooth transition regression specification. This model can investigate both internal and external bilateral trade. The empirical results show that a larger real interest rate differential between China and a member country of the ASEAN-5 would switch the negative spatial effect to a positive one, causing a higher average spatial effect from the bilateral trade balance. The time-varying marginal effects of the determinants of bilateral trades are verified. However, the geographical distance of each country pair remains the most important deterrent to China–ASEAN-5 bilateral trade.
      PubDate: 2017-03-01
      DOI: 10.1007/s12061-015-9175-x
      Issue No: Vol. 10, No. 1 (2017)
       
  • Evaluation of the Matching Process of Disabled People Through a
           Macroeconomic Approach: the Italian Case
    • Authors: M. Agovino; A. Rapposelli
      Pages: 139 - 159
      Abstract: This paper estimates a spatial matching function for disabled people by using a panel of 20 Italian regions over the period 2006–2011. According to the results obtained, in the regional labour market analysed there is a congestion effect among unemployed disabled people, due to an excess of unemployed disabled people compared to available vacancies. In terms of policy, it is necessary to promote policy actions aimed at supporting private firms in their production processes, especially for those with a high number of temporary layoff hours.
      PubDate: 2017-03-01
      DOI: 10.1007/s12061-015-9176-9
      Issue No: Vol. 10, No. 1 (2017)
       
  • Wander: A Smartphone App for Sensing Sociability
    • Authors: Jonathan Corcoran; Renee Zahnow; Behrang Assemi
      Abstract: This paper presents a new smartphone application, Wander, to capture high resolution space-time information on urban dwellers. We detail both the mechanism as well as the analytic platform through which broad scale spatial mobility studies can be mounted to reveal how individuals move through spaces and interact with the social and physical elements of urban life. Results demonstrate the utility of Wander for collecting spatial mobility data that for the first time enables empirical testing of theories first forwarded by urban sociologists at the turn of the 20th Century. We use data collected through the Wander application to examine the timing and regularity of spatial mobility patterns, how these are related to particular urban features, and differ by participant characteristics.
      PubDate: 2017-07-20
      DOI: 10.1007/s12061-017-9228-4
       
  • Spatial, Temporal and Hierarchical Variability of the Factors Driving
           Urban Growth: A Case Study of the Treasure Valley of Idaho, USA
    • Authors: Khila Dahal; Eric Lindquist
      Abstract: Urban landscape is a system of hierarchically nested spatial structures or land patches with their distinct dynamics and causal factors. The lower level structures evolve together to give out different forms, patterns and extents during the process of urbanization. An understanding of driving factors of these hierarchical structures has important implications for future land use planning and urban management. Adopting an innovative framework of urban patch hierarchy, this study investigates the drivers and spatiotemporal variability of their explanatory power at urban and intra-urban patch levels, with Treasure Valley of Idaho, USA as a case of study. We calibrated global and local logistic regression models against a set of 18 spatialized variables. Results show that growth drivers and their impact vary both across the study site and along the cycles of urbanization at different levels of urban landscape. Urban agglomeration factors including the proximity to urbanized area had the highest impact on new development, urban growth forms and land uses. Factors were less stable at the lower level because of their subtle interconnectedness with local structures. The study further revealed an existence of distinct patterns of association among the growth forms, land use types, and the included factors. Specific growth forms and land use classes demonstrated identical temporal patterns with certain driving factors.
      PubDate: 2017-06-15
      DOI: 10.1007/s12061-017-9227-5
       
  • The Determinants of Local Employment Growth in Spain
    • Authors: Diana Gutiérrez Posada; Fernando Rubiera Morollón; Ana Viñuela
      Abstract: During the last two decades, the Spanish economy has been growing both in terms of employment and economic activity, and the spatial distribution of both is very uneven. At a high level of disaggregation, when observing figures of local employment growth we find major changes between 1991 and 2001 and 2001–2011 decades. The aim of this paper is to provide a better understanding of the main determinants of local employment growth in Spain, including socio-economic factors as well as the structural characteristics of the area. Using spatial auto-regressive models combined with incremental distances to different population size tiers, we account for the spatial relationship between areas and for the influence of the urban hierarchy. Our spatial units of analysis are Local Labor Markets, since they comprise workers and work places within the same functional region. Our results for Spain confirm how sensitive the empirical analysis is and how the direct and/or indirect effect of some structural and socioeconomic factors over local employment growth may vary along time. The two decades under study reflect two very different patterns of local growth, supporting the idea of designing a la carte local policies, which should be reassessed timely.
      PubDate: 2017-05-25
      DOI: 10.1007/s12061-017-9226-6
       
  • Exploring the Added Value of Population Distribution Indicators for
           Studies of European Urban Form
    • Authors: Cheng Guo; Nina Schwarz; Carsten M. Buchmann
      Abstract: In Europe, landscape metrics dominate studies that apply quantitative analyses to urban form. Indicators describing population distribution in more detail than just population density, which in Europe are often neglected because of the difficulty in data acquisition, are likely to be more adequate for describing the socioeconomic perspective on urban form. This study aims to disclose the linkage between landscape metrics and population distribution metrics and to provide a better understanding of population distribution patterns. In our study, we quantified urban form in 35 European cities using the most common indicators from both groups of indicators, including measures for the gradient of population density with distance from the city center or (in-) equality of population distribution. We found that landscape metrics correlate only weakly with population distribution indicators by analyzing the correlation matrix. To obtain more insight into the largely neglected group of population distribution indicators, we also applied a regression analysis to understand their underlying information. The results show that population distribution indicators are related to other basic characteristics of cities, such as planning coordination and latitude. The indicated influence of national planning regime on urban form could stimulate further discussion on the effectiveness of urban planning measures. Our study demonstrates that population distribution indicators provide a different perspective than landscape metrics in describing urban form. We therefore stress that it is essential to include population distribution indicators also for describing European cities when aiming to comprehensively describe urban form.
      PubDate: 2017-05-16
      DOI: 10.1007/s12061-017-9225-7
       
  • The Factors Influencing China’s Population Distribution and Spatial
           Heterogeneity: a Prefectural-Level Analysis using Geographically Weighted
           Regression
    • Authors: Zhibin Xu; Anjiao Ouyang
      Abstract: The study of population distribution and its influencing factors is one of the key fields within population geography. Most previous studies have used traditional global regression models to explore the factors influencing population distribution, but they neglect spatial heterogeneity. To overcome this weakness, we employed the Geographically Weighted Regression (GWR) model to identify spatially varying relationships between population density and potential influencing factors in mainland China. The results showed that road density, GDP, temperature and arable land proportion were the key factors influencing population distributions and that the influence of each factor varied in different regions. A lower road density significantly restricted population agglomeration in less developed regions such as Southwest China. The regression coefficients of GDP decreased from the more developed Southeast China to the less developed Northwest China. The regression coefficients of temperature were higher in southeastern coastal areas. Arable land proportion was a significant factor increasing population agglomeration in Xinjiang, Northwest China, but this relationship was weaker in other parts of China. We argue that regional population and development policy should be made according to the specific factors crucially influencing population distributions in various regions in order to promote orderly immigration and optimize population distribution.
      PubDate: 2017-04-25
      DOI: 10.1007/s12061-017-9224-8
       
  • A Statistical Approach for Analyzing Residential Isolation and its
           Determinants for Immigrant Communities: an Application to the Montréal
           Metropolitan Region
    • Authors: Guillaume Marois; Sébastien Lord
      Abstract: The aim of this paper is to measure the net propensity to live in isolation for Montréal’s main immigrant communities and to identify specific profiles that are particularly isolated. For that purpose, a statistical approach is used based on individual determinants to compute standardized isolation indexes that take into account the socioeconomic composition of the different groups. The models we developed also reveal how individuals’ characteristics, such as generational status, date of migration, education, language abilities or income, affect their residential isolation. Results reveal that many individual characteristics have strong impacts on residential isolation, and that those impacts are not always the same among immigrant communities. Also, the low propensity to live in isolation observed for all immigrant communities suggests that the place stratification model is probably not relevant to explain the residential dynamics of immigrant communities in Montréal. However, some vulnerable groups are much more likely to live in isolation: Haitian and South Asian with low education, low-income Maghrebis, and Filipinos who arrived via the Live-in Caregivers program. Some wealthy groups are also more isolated, such as Italians arrived before 1981. Therefore, considering this wide heterogeneity among immigrant communities, studies on their residential dynamic should not consider them as a whole.
      PubDate: 2017-04-21
      DOI: 10.1007/s12061-017-9223-9
       
  • New Spatial Mobility Patterns in Large Spanish Cities: from the Economic
           Boom to the Great Recession
    • Authors: Jordi Bayona-i-Carrasco; Fernando Gil-Alonso; Miguel Rubiales-Pérez; Isabel Pujadas-Rúbies
      Abstract: Until 2008—the beginning of the economic crisis—Spanish metropolitan areas were characterised by relatively high residential mobility, suburbanisation, and urban sprawl. Municipalities situated farthest away from the core cities were the areas that were expanding more rapidly, while urban cores were losing native population that was being replaced by foreign immigrants. All these features presumably changed when the Great Recession hit the Spanish economy and the housing bubble burst. Using two INE (Spanish National Statistical Institute) data sources, the Padrón, or local register, and the Estadística de Variaciones Residenciales, or residential moves statistics, this paper studies changing trends in residential mobility and migration between 1999 and 2012 in Spain, focusing on the country’s main urban areas: Madrid, Barcelona, Valencia, and Seville. In particular, internal migration patterns during the economic expansion and crisis periods are compared. Despite the fact that high unemployment since 2008 has certainly affected pre-crisis trends, results show that residential mobility has decreased much less than expected. Nevertheless, territorial patterns have changed and are now much less polarised. Urban cores and inner-ring towns, which had previously been losing inhabitants because of people moving to outer-ring areas, are now losing less native population. By contrast, suburban municipalities, which had been the most attractive to internal migrants during the economic growth period, are now much less appealing, as corroborated by the fact that practically no new housing is being built in these areas and their housing market has plummeted.
      PubDate: 2017-03-28
      DOI: 10.1007/s12061-017-9222-x
       
  • Deprivation, Healthcare Accessibility and Satisfaction: Geographical
           Context and Scale Implications
    • Authors: Pablo Cabrera-Barona; Thomas Blaschke; Gabriel Gaona
      Abstract: Indices explaining health phenomena are important tools for identifying and investigating health inequalities and to support policy making. Some of these indices are expressed at area-level, and the investigation of the areal influences of these indices on individual health outcomes have scale and geographical contextual implications that need to be assessed. In this study we calculated two area-level indices: one deprivation index and one index of healthcare accessibility. Using multilevel modelling, we calculated the area-level influences of these indices on an individual-level index of healthcare satisfaction considering three kinds of areas or contexts: a context of deprivation, a context of healthcare accessibility and a context combining the two characteristics of healthcare accessibility and deprivation. We evaluated two kinds of geographical problems using the statistical results of these area-level influences: the modifiable areal unit problem (MAUP) and the uncertain geographic context problem (UGCoP). Regarding the MAUP we evaluated the scale effects at two scales: census blocks and census tracts. Regarding the UGCoP we evaluated the differences in areal influences between the three kinds of contexts for both scales. The case study area was the city of Quito, Ecuador. The results of the performed analyses showed no severe MAUP and UGCoP, and revealed important evidence of the area-level influence of deprivation and healthcare accessibility on healthcare satisfaction.
      PubDate: 2017-03-01
      DOI: 10.1007/s12061-017-9221-y
       
  • Editorial: ASAP Ten Years On
    • Authors: John Stillwell
      PubDate: 2017-02-06
      DOI: 10.1007/s12061-017-9220-z
       
 
 
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