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  Subjects -> COMPUTER SCIENCE (Total: 2011 journals)
    - ANIMATION AND SIMULATION (30 journals)
    - ARTIFICIAL INTELLIGENCE (98 journals)
    - AUTOMATION AND ROBOTICS (98 journals)
    - CLOUD COMPUTING AND NETWORKS (61 journals)
    - COMPUTER ARCHITECTURE (9 journals)
    - COMPUTER ENGINEERING (9 journals)
    - COMPUTER GAMES (16 journals)
    - COMPUTER PROGRAMMING (24 journals)
    - COMPUTER SCIENCE (1172 journals)
    - COMPUTER SECURITY (46 journals)
    - DATA BASE MANAGEMENT (13 journals)
    - DATA MINING (32 journals)
    - E-BUSINESS (22 journals)
    - E-LEARNING (29 journals)
    - ELECTRONIC DATA PROCESSING (21 journals)
    - IMAGE AND VIDEO PROCESSING (39 journals)
    - INFORMATION SYSTEMS (108 journals)
    - INTERNET (92 journals)
    - SOCIAL WEB (50 journals)
    - SOFTWARE (34 journals)
    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1172 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: 15)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 24)
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: 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: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 6)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 2)
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: 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: 9)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 10)
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: 7)
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: 6)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 18)
Advances in Computer Science : an International Journal     Open Access   (Followers: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 11)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 27)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 40)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 4)
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: 5)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 5)
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: 12)
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: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
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: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 15)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Applied System Innovation     Open Access  
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: 135)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
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: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Big Data and Cognitive Computing     Open Access  
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 285)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 18)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 34)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 47)
British Journal of Educational Technology     Hybrid Journal   (Followers: 137)
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)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 1)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
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: 11)
Circuits and Systems     Open Access   (Followers: 15)
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: 14)
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: 55)
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   (Followers: 1)
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: 11)
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: 15)
Computational Linguistics     Open Access   (Followers: 22)
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: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 91)
Computer Aided Surgery     Hybrid Journal   (Followers: 5)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 18)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computer Science and Information Technology     Open Access   (Followers: 13)

        1 2 3 4 5 6 | Last

Journal Cover Applied Spatial Analysis and Policy
  [SJR: 0.351]   [H-I: 9]   [5 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]
  • Quantifying Service Accessibility/Transport Disadvantage for Older People
           in Non-Metropolitan South Australia
    • Authors: Jarrod Lange; Paul Norman
      Pages: 1 - 19
      Abstract: The proportion of Australia’s population aged 65 years and over is increasing. In a highly mobile society that relies on car transportation for obtaining essential goods and services, challenges exist for the ageing population when their ability to utilise a car as a form of transport diminishes. Limited transport is a particular concern for those living in non-metropolitan areas due to reduced service accessibility. This research aimed to develop a spatial index to quantify the degree of service accessibility/transport disadvantage for the population aged 65 years and over living in the Murray and Mallee region of South Australia. The index developed comprised two components. The first component incorporated accessibility to key services utilised by older people. The second component quantified public transport options. Together, these components formed a composite index that can be used independently or in conjunction with other spatial datasets. The index methodology developed has the capacity to be broadly applied through the adaptation of key parameters specific to other population cohorts and would benefit from application in other non-metropolitan regions within Australia and abroad.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9206-2
      Issue No: Vol. 11, No. 1 (2018)
       
  • A Health Care Facility Allocation Model for Expanding Cities in Developing
           Nations: Strategizing Urban Health Policy Implementation
    • Authors: Rounaq Basu; Arnab Jana; Ronita Bardhan
      Pages: 21 - 36
      Abstract: In a resource-constrained society in developing nations like India, the importance of health care infrastructure allocation is often undermined and overlooked. This paper aims to quantify the gap in accessing affordable health care facilities faced by the socio-economically weaker sections of society. Majority of the older cities in India have a central core and surrounding peri-urban areas, which were added later on to minimize the stress of urban expansion and to provide adequate infrastructure. This research states that installation of new facilities for catering to the growing needs of citizens in expanding cities is the need of the hour. We propose a novel technique for maximizing the health care coverage of the peri-urban areas by establishing the minimum number of new public health care facilities. Our aim is to suggest strategies for efficient implementation of policies such as the National Urban Health Mission and the National Health Policy. We considered Kolkata Municipal Corporation, India as a case study to assess our proposed methodology. The southern periphery, which was added in 1981 and has currently expanded again in 2015, is completely devoid of public health care facilities. Our optimization model showed that 13 new public facilities are required in the southern periphery, out of which five are extremely critical. The rise in health care coverage from 76.19 to 90.05 % by taking only the southern periphery into consideration shows the impact of the new facilities placed according to the proposed framework.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9208-0
      Issue No: Vol. 11, No. 1 (2018)
       
  • Searching for Silver Linings: Is Perceived Medical Discrimination Weaker
           in Segregated Areas'
    • Authors: Joseph Gibbons; Tse-Chuan Yang
      Pages: 37 - 58
      Abstract: An ongoing obstacle in dealing with minority health disparities is discriminatory behavior from healthcare practitioners, also known as medical discrimination. It is not clear, however, if the effects of medical discriminations onto health are constant across space. For example, there is evidence to suspect minorities in racially segregated neighborhoods suffer less from discrimination compared to those living elsewhere. To determine the presence of spatial heterogeneity underlying medical discrimination, we implement logistic geographically weighted regression (GWR) using individual data in the city of Philadelphia from the 2006 and 2008 Public Health Management Corporation’s Southeastern Pennsylvania Household Health Surveys. Evaluating the potential role residential segregation has in offsetting medical discrimination, we compare the GWR results to tract data from the 2005–2009 American Community Survey. Through this comparison, we find that the effects of medical discrimination on self-rated health are weaker in magnitude in areas that are mostly minority. However, evidence of direct health benefits for minorities in segregated communities is inconclusive. Thus, while we cannot say living in segregated neighborhoods leads to better minority health, the sting of medical discrimination can be weaker in these places. These results emphasize the importance of local variation, even within a city like Philadelphia, challenging the aspatial one-model-fits-all approach normally found in population studies.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9211-5
      Issue No: Vol. 11, No. 1 (2018)
       
  • The Privatisation and the Unbalanced Spatial Development of Residential
           Care for the Elderly: the Case of Beijing, China
    • Authors: Min Jia; Yanmin Zhou; Jingyi Lin
      Pages: 59 - 80
      Abstract: By focusing on the development of residential care facilities for the elderly (RCFEs) in China’s capital city of Beijing between the 1950s and 2010s, this study examines the policy orientation and local consequences of the 1980s’ marketisation of China’s social welfare system. The data include 362 RCFEs’ GIS data and programme information. Multi-disciplinary issues pertaining to social, policy, urban planning and statutory aspects were also examined. The results showed that, within the broader context of rapid population ageing in China, the growth of residential care in Beijing has shifted from a central-planned pattern to a market-dominated expansion that features a neo-liberalist style of development. Due to the government’s weak role in its new partnership with the private sector, which is reflected by the absence of master planning of and weak legislation for private developments, the trend of RCFE growth in Beijing demonstrates an avoidance of unfavourable market areas, such as the inner urban areas (with a very large elderly population) and the rural areas, and a movement towards the suburbanisation and development of higher-end and over-sized residential care facilities. This is discordant with the government’s newly defined role, which is to retreat from centralised control and advance towards regulating and guiding residential care developments for the elderly population. The study therefore suggests that more ideological policies, regulations and master planning processes are needed to establish supportive residential care facilities, so as to further strengthen the reform of social welfare services and move towards equalising the local provision of residential care beds in the future.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9204-4
      Issue No: Vol. 11, No. 1 (2018)
       
  • Analyzing In-Migrants and Out-Migrants in Urban China
    • Authors: Huali Xiang; Jun Yang; Tingpimei Zhang; Xinyue Ye
      Pages: 81 - 102
      Abstract: Massive urbanization is producing large-scale urban migration in China. Based on the database of the Population Information System of the Health and Family Planning Commission, the spatial characteristics and demographic structural characteristics of migrants have been analyzed at the inter-provincial, intra- provincial and city scales, using Wuhan, China as a case study. A panoramic image of the overall migration in this area has been produced, illustrating that in-migration continues to have a “squeezing” effect on low-skilled jobs with low barriers to entry. There are clear differences between in-migrants and out-migrants; the great majority of in-migrants are fertile women and floating children, and out-migrants have left their children. Moreover, basic public services are insufficient for in-migrants. This paper concludes by presenting a selection of policies to help manage migrants.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9207-1
      Issue No: Vol. 11, No. 1 (2018)
       
  • Administrative Boundary Changes and Regional Inequality in Provincial
           China
    • Authors: Sanwei He; Calvin King Lam Chung; Mucahid Mustafa Bayrak; Weiwu Wang
      Pages: 103 - 120
      Abstract: Although many studies have been conducted on regional inequality, no consistent findings can be produced in terms of the temporal trends and mechanisms underlying regional inequality until now. It is widely acknowledged that the utilization of different data sources, time periods and methodologies gives rise to different measurements of regional inequality. This study aims to shed new light on this issue from the perspective of administrative boundary changes in China. Since the reform and open-door policy in 1978, administrative divisions in China have frequently been adjusted as part of a strategy of the State to promote rapid economic development. This strategy poses a great challenge to the study of temporal trends as well as the causal mechanisms for regional inequality, which has been rarely studied. Taking the Chinese province of Guangdong as an example, this paper adopts a multi-scale decomposition method to demonstrate that administrative boundary changes have a significant impact on the measurement of regional inequality. By excluding administrative boundary changes, previous studies often portrayed a misleading picture of the divergence or convergence of regional inequality. Drawing on a multi-scale and multi-mechanism framework, this paper employs a spatial regression model to investigate the impact of administrative boundary changes on extracting mechanisms of regional inequality. On the one hand, administrative restructuring alters the intensity of spatial dependence of regional development. On the other hand, different combinations of significant driving factors vary under different administrative divisions. Therefore, the consideration of administrative boundary changes would enhance a fuller understanding of regional inequality in China.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9203-5
      Issue No: Vol. 11, No. 1 (2018)
       
  • Back to the Future: Applying a Current Geodemographic Classification to
           Historic Data to Produce Trend-Based Population Projections
    • Authors: Philip Sapiro
      Pages: 121 - 146
      Abstract: A novel approach is described to developing population projections for minority groups for whom information used in traditional approaches is not directly available. Geodemographic assessment is a powerful tool for simplifying and interpreting complex patterns; but fixed classifications have rarely been used to compare and contrast population characteristics found in consecutive decennial censuses and establish trends for the future. This paper describes an innovative projection methodology, using an existing geodemographic classification and standard census outputs, that addresses and overcomes three challenges: the application of a geodemographic classification to a minority group – the Jewish residents of England and Wales – across multiple points in time; analysis of changes in that population between the 2001 and 2011 censuses, by geodemographic class; and the development of a projection based on these recent observed trends. The approach adopted specifically allows for temporal changes in the influence of population characteristics. The balance between the impact of births, deaths and migration on area / class population over time is determined and, after consideration of future fertility and mortality levels, used to develop class-by-class population projections for Anglo-Jewry and an overall projection for 2021 and 2031. The analysis indicates that there will be material differences between the demographic futures of the areas in which the various classes are found, and predicts a reversal in the numerical decline of the Jewish population that has prevailed over the last half century. As a result, the projections raise significant policy implications; additionally, the approach could be applied to other groups and other places.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9209-z
      Issue No: Vol. 11, No. 1 (2018)
       
  • Projections of Watershed Pollutant Loads Using a Spatially Explicit,
           Agent-Based Land Use Conversion Model: A Case Study of Berkeley County,
           West Virginia
    • Authors: Nazia N. Arbab; Alan R. Collins; Jamison F. Conley
      Pages: 147 - 181
      Abstract: This research presents a methodology to make projections of land use conversions in Berkeley County, West Virginia and then utilizes these projections to estimate water quality impacts on the Opequon Creek in Berkeley County. Empirical estimates for factors that influence the land use conversion probability are captured using parameters from a spatial logistic regression (SLR) model. Then, an agent-based, probabilistic land use conversion (APLUC) model is used to explore the impacts of policies on land use conversion decisions using estimates from actual land use change from 2001 to 2011 in SLR model. Three policy scenarios are developed: (1) no policy implementation, (2) a 15.24 m (50 ft) buffer zone policy of no development applied to all streams, and (3) 15.24 m buffer policy applied only on critical source area (CSA) watersheds. The projected land use patterns in the APLUC model are driven by individual land conversion decisions over 50 model runs of 10 iterations each under each policy scenario. The results show that with no policy scenario, most conversions occurred near existing residential land use and urban centers. Residential land use conversions are greatly reduced in a 15.24 m buffer policy around all streams in watershed. Spatial patterns generated under a 15.24 m buffer policy in CSAs only showed that future projected land use changes occurred close to major highways and shifted the residential development to the northern part of the Opequon Creek. Finally, the impacts of these three policies on water quality are estimated using an ArcSWAT model, a graphical user interface for SWAT (Soil and Water Assessment Tool). This model indicates that the 15.24 m buffer policy in CSAs is most effective among the three policies in reducing the pollutant loads. This study suggests that carefully designed policies which discourage residential land use conversions in CSAs, result in less pollutant loads by shifting the location of residential conversions to less critical areas where agricultural land is dominant in the watershed.
      PubDate: 2018-03-01
      DOI: 10.1007/s12061-016-9197-z
      Issue No: Vol. 11, No. 1 (2018)
       
  • Detecting Address Uncertainty in Loyalty Card Data
    • Authors: Alyson Lloyd; James Cheshire
      Abstract: There is a fundamental need to better appreciate the dynamics and uncertainty of large consumer datasets, particularly if they are to be utilised to model social and geographical phenomena. This research, the first to utilise a major UK retailer’s loyalty card dataset, presents a novel data-driven approach for quantifying uncertainty in consumer addresses. Uncertain cases were identified through the linkage of locational and behavioural attributes and consumer mobility patterns recorded at a small area level. Such methods are not only important for the reliable adoption of large commercially generated datasets in research, but also for retailers if utilising this information to inform location-based marketing strategies. Results are contextualized with dynamics in the general population, demonstrating comparable relationships with Census migration patterns.
      PubDate: 2018-01-29
      DOI: 10.1007/s12061-018-9250-1
       
  • Structural and Exchange Components in Processes of Neighbourhood Change: A
           Social Mobility Approach
    • Authors: Tal Modai-Snir; Maarten van Ham
      Abstract: Neighbourhood socioeconomic change is a complex phenomenon which is driven by multiple processes. Most research has focused on the role of urban-level processes, which lead to an exchange of relative positions among neighbourhoods of a single metropolitan area. Consequently, the effects of structural processes on neighbourhood socioeconomic change, such as overall income growth or decline, and increasing inequality, have been neglected. This is reflected in the standard methodological practices; the common measures of neighbourhood change exclude the effect of overall growth or decline and confound the effects of urban processes with the effect of increase in inequality. This paper proposes a method that was originally developed for understanding income mobility of individuals, to decompose total neighbourhood socioeconomic change measured in absolute terms into its contributing components. The approach enables to take account of all processes that generate neighbourhood socioeconomic change, while distinguishing between them. The method is demonstrated in an empirical analysis of neighbourhood socioeconomic change across 22 metropolitan areas in the US. The findings indicate that structural processes can be most substantial in generating change. Neighbourhood socioeconomic change in ‘superstar cities’ is mostly generated by the growth in overall incomes, with a relatively low contribution of increasing inequality. Conversely, in declining cities it is mostly driven by overall decline and increasing inequality. An additional finding relates to the interaction between urban processes and increasing inequality. These processes work in opposite directions such that any increase in positions of low-income neighbourhoods can be totally offset by an income decrease due to increasing inequality.
      PubDate: 2018-01-19
      DOI: 10.1007/s12061-017-9249-z
       
  • The Geography of Travel to Work in England and Wales: Extracts from the
           2011 Census
    • Authors: Alasdair Rae
      Pages: 457 - 473
      Abstract: From a policy point of view, the question of transport connectivity has recently risen up the policy agenda in the UK, and particularly in the North of England where the government are currently seeking to boost economic growth through their ‘Northern Powerhouse’ initiative. Transport is central to this plan. However, existing patterns of connectivity across England and Wales are not always well understood in the policy domain, so this paper attempts to help fill a gap by taking a geovisualisation-based approach to the analysis of 2.4 million individual journey to work flows across England and Wales. The paper builds upon previous research in the field of spatial interaction by exploring patterns associated with different modes of transport. The analysis highlights London’s dominance as a rail commuter destination, relative to major cities in the North of England, in addition to the growth of cycling as a mode of travel to work. The question of ‘error’ in the dataset is then explored, followed by a discussion of possible explanations. The paper ends by reflecting on three key findings and by highlighting opportunities for future research in this field.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9196-0
      Issue No: Vol. 10, No. 4 (2017)
       
  • The Spatial Impact of Commuting on Income: a Spatial Microsimulation
           Approach
    • Authors: Amaya Vega; Paul Kilgarriff; Cathal O’Donoghue; Karyn Morrissey
      Pages: 475 - 495
      Abstract: The Irish economic boom resulted in a substantial increase in car-ownership and commuting. These trends were particularly noticeable in the Greater Dublin Area (GDA), with an unprecedented increase in employment levels and private car registrations. While employment dropped by an overall 6 % during the recent economic recession, the already increasing process of suburbanisation around Irish main cities continued. The commuting belt around Dublin extended beyond the GDA with a substantial number of individuals commuting long distances. The aim of this paper is to examine the impact of both monetary and non-monetary commuting costs on the distribution of employment income in Ireland. The Census of Population is the only nationwide source of information on commuting patterns in Ireland. However, this data set does not include information on individual income. In contrast, SMILE (Simulation Model for the Irish Local Economy) contains employment income data for each individual in Ireland. Using data from the Census of Population of Ireland, discrete choice models of commuting mode choice are estimated for three sub-samples of the Irish population based on residential and employment location and the subjective value of travel time (SVTT) is calculated. The SVTT is then combined with the SMILE data to produce a geo-referenced, attribute rich dataset containing commuting, income, demographic and socio-economic data. Results show that the monetary and non-monetary costs of commuting are highest among those living and working in the GDA.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9202-6
      Issue No: Vol. 10, No. 4 (2017)
       
  • Does Averaging Yield More Accurate Local and Regional Population
           Forecasts'
    • Authors: Tom Wilson
      Pages: 497 - 513
      Abstract: Local and regional population forecasts inform a wide range of planning and budgeting activities, including those concerning educational provision, transport services, health facilities, electoral redistricting, and business location decisions. Unfortunately such forecasts often prove to be quite inaccurate. The aim of this paper is to evaluate a simple model for forecasting local and regional total populations in Australia which takes the average of two extrapolative methods. This is the Constant Share of Population – Variable Share of Growth (CSP-VSG) model, shown to have performed well at the local area scale in earlier research. This study extends that earlier work, making use of recently available historical local area population estimates on the current set of geographical areas. It reports on retrospective tests of the averaged model in Australia over several forecasting periods, and at three geographical scales. Forecasts are produced for three ten year forecast horizons (1991–2001, 1996–2006, and 2001–2011) and comparisons are made with simple linear extrapolation. It is shown that for all geographical scales and forecast horizons the averaged model generally produces more accurate population forecasts. The value added over linear extrapolation is greater for the smallest areas and those with the highest (positive or negative) base period growth rates. Applying the averaged model to non-metropolitan regions only results in further gains in accuracy. It is argued that the averaged model is a useful addition to the population forecaster’s toolkit: it produces forecasts of respectable accuracy with low input data requirements and production costs.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9194-2
      Issue No: Vol. 10, No. 4 (2017)
       
  • The Impact of Proposed Higher Education Reforms on Geographic
           Accessibility to Universities in Ireland
    • Authors: Sharon Walsh; John Cullinan; Darragh Flannery
      Pages: 515 - 536
      Abstract: The pursuit of equity in access to higher education is central to education policy in most developed countries. Although much of the focus has been on narrowing the social class differential in higher education participation, spatial factors have been increasingly acknowledged as a potential barrier to access and subsequent participation. This article explores geographic accessibility to university education in Ireland using a variety of techniques and measures, paying particular attention to analysing the effect of proposed higher education policy reforms. In particular, we utilise GIS-based methodologies to model the impact of the proposed reforms on both the level of, and inequalities in, geographic accessibility to university education in Ireland. This includes mapping and analysing a range of accessibility measures, as well as calculating spatially-based university accessibility Gini indices. We also illustrate how the techniques and analysis can be used to help inform higher education policy.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9193-3
      Issue No: Vol. 10, No. 4 (2017)
       
  • GIS-based Spatial and Temporal Analysis of Aging-Involved Accidents: a
           Case Study of Three Counties in Florida
    • Authors: Sai Saylesh Vemulapalli; Mehmet Baran Ulak; Eren Erman Ozguven; Thobias Sando; Mark W. Horner; Yassir Abdelrazig; Ren Moses
      Pages: 537 - 563
      Abstract: Roadway accidents claim more than 30,000 lives each year in the United States, and they continue adversely affecting people’s well-being. This problem becomes even more challenging when aging populations are considered due to their vulnerability to accidents. This is especially a major concern in Florida since the accident risk is increasing proportionally to the population growth of aging Floridians. This study investigates the spatial and temporal patterns of aging people-involved accidents using geographical information systems (GIS)-based methods via a case study of three urban counties in Florida, selected based on their high aging-involved accident rates. A series of spatial analytic methods are utilized to explore accident patterns, including a network distance-based kernel density estimation method, which provides an unbiased distribution of the accidents over the local roadways. An accident density ratio measure is also developed in order to understand how accidents involving aging people occur at different locations than those of the general population. Results indicate that high risk locations for aging-involved accidents show different spatial and temporal patterns than those for other age groups. Investigating these distinct patterns at a high spatio-temporal scale can lead to better aging-focused transportation plans and policies.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9192-4
      Issue No: Vol. 10, No. 4 (2017)
       
  • Crash Prediction Modeling Using a Spatial Semi-Local Model: A Case Study
           of Mashhad, Iran
    • Authors: Afshin Shariat-Mohaymany; Matin Shahri
      Pages: 565 - 584
      Abstract: The rapid expansion of road construction and ever-increasing growth of urbanization have led to increased number of vehicles. Achieving the safe trips without personal harm or property damage has always been the concern of safety specialists. Over the last few years, the safety researchers attempted to develop the innovative methodologies to explore the crash affecting factors and obtain practical models with high prediction power. Generalized Linear Models (GLMs) with Poisson or Negative Binomial distribution of errors are known as the most common techniques to investigate the relationship between crashes and the related factors. Such models assume the dependent variable (e.g. crash frequency or crash rates) to be statistically independent. However; spatial traffic accidents have the tendency to be dependent, a phenomenon known as spatial autocorrelation. Values over distance are more or less similar than expected for randomly associated observations. This study aims to develop a series of crash prediction models based on Traffic Analysis Zone (TAZ)-level crashes and contributing associated factors using GLMs and spatial semi-local Poisson-Gamma-CAR model. Trip generation variables will be employed as the surrogate variable for land use and demographic characteristics in models in addition to network variables and traffic volume. The significant Moran’s I as the spatial autocorrelation indicator performing on crash frequencies grouped in 253 TAZs in Mashhad, Iran and the same analysis for residuals of all models proved the reliability of spatial model over conventional GLMs. The spatial model also indicated an improvement in model performance as indicated by the set of goodness-of-fit criteria. The results of local analysis can provide a predictive tool at the planning-level which can be applied on different travel demand policies to evaluate their traffic safety impacts.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9199-x
      Issue No: Vol. 10, No. 4 (2017)
       
  • Geostatistical Study of the Rural Property Market Applicable to the Region
           of Murcia (Spain) by M. Carmen Morillo1 et al
    • Authors: M. Carmen Morillo; Francisco García-Cepeda; Sandra Martínez-Cuevas; Iñigo Molina; Cesar García-Aranda
      Pages: 585 - 607
      Abstract: Spatial Analysis has been used since the early 1990’s for rural cadastral models. Nowadays, it is necessary to use Geographic Information Systems (GIS), Global Positioning Systems (GPS) and Cartography as well as dedicated software in order to solve problems in Cadastral Models. Among these models, the selection and prioritization of the parameters affecting the rural property valuation assets, as well as the zoning optimization (homogeneous sectors) within a community, are one of the biggest concerns for Cadastral Agencies. This research is focused on rural property in the Region of Murcia, in accordance with data recorded from 2007 to 2009. The techniques used for the spatial zoning were carried out by means of IDW (Inverse Distance Weighting) and kriging interpolators as they are the most widely used in spatial variation analysis studies. Although both interpolators produced similar results, IDW was better for predicting variation in “Unit Prices”. Afterwards, a statistical study was later completed using ANOVA, Chi-Squared and Correspondence Analysis procedures. The research results demonstrate the consistency of the parameters that have been used in the Cadastral Agencies, and the degree of involvement of these parameters in assessing the results of unit prices for different areas. These results are secured by the verification techniques applied.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9200-8
      Issue No: Vol. 10, No. 4 (2017)
       
  • Measuring Spatial Accessibility to Services within Indices of Multiple
           Deprivation: Implications of Applying an Enhanced two-Step Floating
           Catchment Area (E2SFCA) Approach
    • Authors: Nicholas Page; Mitchel Langford; Gary Higgs
      Abstract: Approaches to calculating spatial accessibility within existing indices of multiple deprivation (IMD) methodologies are based on ‘traditional’ accessibility metrics and tend not to adopt more recent methodological enhancements. In particular, the last decade has seen a relatively large body of studies that have applied floating catchment area (FCA) methods that account for both service supply and potential demand interactions, mediated by the impact of distance, in a wide range of application areas. In this paper, we investigate potential implications of incorporating an FCA-based approach to measuring spatial accessibility within an existing IMD framework. Using the Welsh Index of Multiple Deprivation (WIMD) as a case study, FCA-derived accessibility scores were substituted for the existing approach used to calculate accessibility and a revised index was computed. The published methodologies used to construct the other ‘domains’ within the WIMD were followed and the implications for the overall deprivation measure were assessed. Statistical and visualisation tools revealed implications for both the access and overall IMD rankings, with sparsely populated (predominantly rural) areas tending to receive higher accessibility scores from FCA-based approaches than more densely populated (predominantly urban) areas. These areas in turn showed the greatest decline in ranking on the WIMD calculations following the application of FCA approaches. Potential reasons for such trends are posited before we conclude by drawing attention to the implications of adopting FCA-based approaches to calculate IMDs particularly for those policies designed to distribute funds or allocate resources to areas of need.
      PubDate: 2017-12-28
      DOI: 10.1007/s12061-017-9246-2
       
  • Location Tracing and Potential Risks in Interaction Data Sets
    • Authors: Oliver Duke-Williams
      Abstract: Location-aware mobile phone handsets have become increasingly common in recent years, giving rise to a wide variety of location based services that rely on a person’s mobile phone reporting its current location to a remote service provider. Previous research has demonstrated that services that geo-code status updates may permit the estimation of both the rough location of users’ home locations and those of their workplaces. The paper investigates the disclosure risks of a priori knowledge of a person’s home and workplace locations, or of their current and previous home locations. Detailed interaction data sets published from censuses or other sources are characterised by the sparsity of the contained data, such that unique combinations of two locations may often be observed. In the most detailed 2011 migration data 37% of migrants had a unique combination of origin and destination, whilst in the most detailed journey to work data, 58% of workers had a unique combination of home and workplace. The amount of additional attribute data that might be disclosed is limited. When more coarse geographies are used their still remain a non-trivial number of persons with unique location combinations, with considerably more attributes potentially disclosable.
      PubDate: 2017-12-15
      DOI: 10.1007/s12061-017-9247-1
       
  • Spatiotemporal Dynamics of Electricity Consumption in China
    • Authors: Jinghu Pan; Junfeng Li
      Abstract: Nighttime light (NTL) data from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) provide information on nighttime luminosity, a correlation of built environment and energy consumption. This research intends to estimate spatial distribution of electricity consumption (EC) in mainland China, and analyze the temporal and spatial change of electricity consumption during 2000–2012. Nighttime light vegetation index (NVI), ratio nighttime light vegetation index (RNVI), difference nighttime light vegetation index (DNVI), normalized difference nighttime light vegetation index (NDNVI), soil adjusted nighttime light vegetation index (SANVI), and modified difference nighttime light vegetation index (MDNVI) were used to compensate for shortages in DMSP/OLS data. Moderate resolution imaging spectroradiometer (MODIS) NDVI products, China GIS database, and socioeconomic statistical data were also considered. An EC estimation model was used to obtain EC during 2000–2012. We divided EC into four ratings and analyzed spatiotemporal patterns using exploratory spatial data analysis tools (e.g., Moran’s I and local indicators of spatial association-LISA statistics). Then we built a linear regression model of EC, and correlated with DMSP/OLS data to produce China’s EC spatially. We used mean relative error (MRE) to compare our results and related research outcomes. Our result showed lower MRE, i.e., superior accuracy. EC grew quickly in China from 2000 to 2012 increasing from 6.79 to 14.82 M kWh. Generating capacity and EC of 32 provinces, municipalities and autonomous regions have a strong spatial correlation. The proposed index combines information from DMSP/OLS NTL data and MODIS NDVI data for more detailed characterization of nighttime luminosity, and reduced NTL saturation. The index simplicity enables rapid characterization and monitoring of EC.
      PubDate: 2017-12-04
      DOI: 10.1007/s12061-017-9248-0
       
 
 
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