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  Subjects -> ENGINEERING (Total: 2285 journals)
    - CHEMICAL ENGINEERING (192 journals)
    - CIVIL ENGINEERING (185 journals)
    - ELECTRICAL ENGINEERING (104 journals)
    - ENGINEERING (1206 journals)
    - ENGINEERING MECHANICS AND MATERIALS (383 journals)
    - HYDRAULIC ENGINEERING (55 journals)
    - INDUSTRIAL ENGINEERING (69 journals)
    - MECHANICAL ENGINEERING (91 journals)

ENGINEERING (1206 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1205 Journals sorted alphabetically
3 Biotech     Open Access   (Followers: 7)
3D Research     Hybrid Journal   (Followers: 18)
AAPG Bulletin     Hybrid Journal   (Followers: 7)
AASRI Procedia     Open Access   (Followers: 15)
Abstract and Applied Analysis     Open Access   (Followers: 3)
Aceh International Journal of Science and Technology     Open Access   (Followers: 2)
ACS Nano     Full-text available via subscription   (Followers: 244)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 2)
Acta Scientiarum. Technology     Open Access   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Active and Passive Electronic Components     Open Access   (Followers: 7)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 6)
Advanced Science     Open Access   (Followers: 5)
Advanced Science Focus     Free   (Followers: 3)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 7)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 7)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 16)
Advances in Fuzzy Systems     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 11)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 22)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 9)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 29)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in OptoElectronics     Open Access   (Followers: 5)
Advances in Physics Theories and Applications     Open Access   (Followers: 12)
Advances in Polymer Science     Hybrid Journal   (Followers: 41)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 39)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aerobiologia     Hybrid Journal   (Followers: 2)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 5)
AIChE Journal     Hybrid Journal   (Followers: 32)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access  
Alexandria Engineering Journal     Open Access   (Followers: 1)
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 28)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 11)
American Journal of Engineering Education     Open Access   (Followers: 9)
American Journal of Environmental Engineering     Open Access   (Followers: 17)
American Journal of Industrial and Business Management     Open Access   (Followers: 23)
Analele Universitatii Ovidius Constanta - Seria Chimie     Open Access  
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Regional Science     Hybrid Journal   (Followers: 8)
Annals of Science     Hybrid Journal   (Followers: 7)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 6)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 17)
Applied Clay Science     Hybrid Journal   (Followers: 5)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Network Science     Open Access   (Followers: 1)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 3)
Applied Sciences     Open Access   (Followers: 2)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 5)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 7)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
ASEE Prism     Full-text available via subscription   (Followers: 3)
Asia-Pacific Journal of Science and Technology     Open Access  
Asian Engineering Review     Open Access  
Asian Journal of Applied Science and Engineering     Open Access   (Followers: 1)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Asian Journal of Biotechnology     Open Access   (Followers: 8)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal  
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription   (Followers: 2)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Avances en Ciencias e Ingeniería     Open Access  
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Batteries     Open Access   (Followers: 6)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 23)
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 4)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Motor Trade Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 2)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 4)
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access   (Followers: 1)
Biofuels Engineering     Open Access   (Followers: 1)
Biointerphases     Open Access   (Followers: 1)
Biomaterials Science     Full-text available via subscription   (Followers: 10)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering Letters     Hybrid Journal   (Followers: 5)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 33)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 9)
Biomedical Science and Engineering     Open Access   (Followers: 4)
Biomedizinische Technik - Biomedical Engineering     Hybrid Journal  
Biomicrofluidics     Open Access   (Followers: 4)
BioNanoMaterials     Hybrid Journal   (Followers: 2)
Biotechnology Progress     Hybrid Journal   (Followers: 39)
Boletin Cientifico Tecnico INIMET     Open Access  
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Boundary Value Problems     Open Access   (Followers: 1)
Brazilian Journal of Science and Technology     Open Access   (Followers: 2)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
Bulletin of Canadian Petroleum Geology     Full-text available via subscription   (Followers: 14)
Bulletin of Engineering Geology and the Environment     Hybrid Journal   (Followers: 13)
Bulletin of the Crimean Astrophysical Observatory     Hybrid Journal  
Cahiers, Droit, Sciences et Technologies     Open Access  
Calphad     Hybrid Journal  
Canadian Geotechnical Journal     Hybrid Journal   (Followers: 27)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 45)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 8)
Case Studies in Thermal Engineering     Open Access   (Followers: 4)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 2)
Catalysis Reviews: Science and Engineering     Hybrid Journal   (Followers: 8)
Catalysis Science and Technology     Free   (Followers: 7)
Catalysis Surveys from Asia     Hybrid Journal   (Followers: 3)
Catalysis Today     Hybrid Journal   (Followers: 8)
CEAS Space Journal     Hybrid Journal   (Followers: 1)
Cellular and Molecular Neurobiology     Hybrid Journal   (Followers: 3)
Central European Journal of Engineering     Hybrid Journal   (Followers: 1)
CFD Letters     Open Access   (Followers: 6)
Chaos : An Interdisciplinary Journal of Nonlinear Science     Hybrid Journal   (Followers: 2)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Engineering     Open Access   (Followers: 2)
Chinese Science Bulletin     Open Access   (Followers: 1)
Ciencia e Ingenieria Neogranadina     Open Access  
Ciencia en su PC     Open Access   (Followers: 1)
Ciencias Holguin     Open Access   (Followers: 1)
CienciaUAT     Open Access  
Cientifica     Open Access  
CIRP Annals - Manufacturing Technology     Full-text available via subscription   (Followers: 11)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 14)
City, Culture and Society     Hybrid Journal   (Followers: 24)
Clay Minerals     Full-text available via subscription   (Followers: 10)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
Coal Science and Technology     Full-text available via subscription   (Followers: 3)
Coastal Engineering     Hybrid Journal   (Followers: 11)
Coastal Engineering Journal     Hybrid Journal   (Followers: 5)
Coatings     Open Access   (Followers: 4)
Cogent Engineering     Open Access   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Color Research & Application     Hybrid Journal   (Followers: 1)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Combustion, Explosion, and Shock Waves     Hybrid Journal   (Followers: 13)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 27)
Composite Interfaces     Hybrid Journal   (Followers: 6)
Composite Structures     Hybrid Journal   (Followers: 267)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 189)
Composites Part B : Engineering     Hybrid Journal   (Followers: 257)
Composites Science and Technology     Hybrid Journal   (Followers: 186)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access  
Computational Geosciences     Hybrid Journal   (Followers: 15)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computers & Geosciences     Hybrid Journal   (Followers: 28)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 6)
Computers and Electronics in Agriculture     Hybrid Journal   (Followers: 4)
Computers and Geotechnics     Hybrid Journal   (Followers: 10)
Computing and Visualization in Science     Hybrid Journal   (Followers: 5)
Computing in Science & Engineering     Full-text available via subscription   (Followers: 31)
Conciencia Tecnologica     Open Access  
Concurrent Engineering     Hybrid Journal   (Followers: 3)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 7)
Control and Dynamic Systems     Full-text available via subscription   (Followers: 9)
Control Engineering Practice     Hybrid Journal   (Followers: 43)
Control Theory and Informatics     Open Access   (Followers: 8)
Corrosion Science     Hybrid Journal   (Followers: 25)
Corrosion Series     Full-text available via subscription   (Followers: 6)
CT&F Ciencia, Tecnologia y Futuro     Open Access   (Followers: 1)

        1 2 3 4 5 6 7 | 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  [2354 journals]
  • 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)
       
  • Erratum to: Agricultural Land Consumption in Periurban Areas: a
           Methodological Approach for Risk Assessment Using Artificial Neural
           Networks and Spatial Correlation in Northern Italy
    • Authors: Chiara Mazzocchi; Stefano Corsi; Guido Sali
      Pages: 455 - 455
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9205-3
      Issue No: Vol. 10, No. 3 (2017)
       
  • Spatial Differentiation and Integration Optimization of an Urban
           Agglomeration Tourism System under the Influence of High-Speed Railway
           Network Evolution
    • Authors: Tai Huang; Jian-Chao Xi; Quan-Sheng Ge
      Abstract: This study constructs tourism spatial gravity models with multi-destination and multi-origin interaction conditions, using consumer utility and travel probability theories. It also explores, through spatial correlation methods, the spatial differentiation characteristics of the tourism system in an urban agglomeration under the influence of a high-speed railway network from the perspectives of city tourism competitiveness and resident travel potential. The research finds that the high-speed railway has an increasing influence on the urban agglomeration tourism system, widening the hierarchical difference and causing the reverse balance to have an integration effect. The influence of high-speed railways has the obvious cluster node and corridor lock-in effect, which has strengthened the core-peripheral structure of the urban agglomeration tourism system. Peripheral cities with high-speed railways are more obviously affected, but their ranking-order changes in the urban agglomeration tourism system are not significant because of comprehensive location weaknesses. Because of the complex spatial differentiation, researchers need to use multi-spatial statistical methods to carry out integrated studies and obtain useful optimization strategies.
      PubDate: 2017-11-18
      DOI: 10.1007/s12061-017-9245-3
       
  • Detecting Foreigners’ Spatial Residential Patterns in Urban
           Contexts: Two Tales from Italy
    • Authors: Federico Benassi; Fabio Lipizzi; Salvatore Strozza
      Abstract: The paper presents an original application of the Gini’s centre of population (MC) and its Standard Deviational Ellipse (SDE) in the field of spatial distribution of foreigners. The proposed measures have been applied to the top five foreign communities (and Italians) counted in 2011 Italian demographic census in the municipality of Rome and Naples. The results show that, compared to Italians, in both municipalities the communities coming from Asia show spatial distributions characterized by quite clear residential patterns: a tendency to have high levels of spatial concentration and the centre of gravity (or mean centre) located at comparatively high distances from the one of the Italians. On the contrary, the communities coming from Central and Eastern Europe present a spatial residential pattern characterized by a quite high level of spatial dispersion and a centre of gravity very close to the one of the Italians. In an intermediate situation between these two spatial patterns there are the Peruvians. Some explanatory hypotheses are advanced. The Gini’s centre of population and its Standard Deviational Ellipse seem capable to synthesize the spatial distribution of foreign population and to detect their residential patterns.
      PubDate: 2017-10-23
      DOI: 10.1007/s12061-017-9243-5
       
  • Income and Population Dynamics in Deprived Neighbourhoods: Measuring the
           Poverty Turnover Rate Using Administrative Data
    • Authors: Mark Fransham
      Abstract: Many studies of neighbourhood deprivation have confirmed that there is more continuity than change in the geography of deprivation. This stable geography can lead to an unwarranted inference that the households living on low incomes in these areas comprise a relatively static population. This paper develops the use of administrative data for the longitudinal observation of low income families in small areas, which is underdeveloped despite the widespread use of administrative data in the cross-sectional measurement of neighbourhood deprivation. An empirical measure of local poverty dynamics - the poverty turnover rate – is introduced, and created for small areas using housing benefit data for the city of Oxford between 2010 and 2014. A high turnover of poor families is observed and the poverty turnover rate is able to identify small areas with higher and lower turnover rates than the average for the city. The high turnover rates discovered in this study suggest that in this city it is primarily the flows of people in and out of the area, and in and out of low income, that maintains the concentration of poor families, rather than a static population of poor families. This approach can be used to provide a richer understanding of the population and income dynamics that underpin stability and change in the geography of poverty, of use to regeneration policy and the academic studies of gentrification, health inequalities and neighbourhood effects.
      PubDate: 2017-10-16
      DOI: 10.1007/s12061-017-9242-6
       
  • Spatial Distribution of Malnutrition among Children Under Five in Nigeria:
           A Bayesian Quantile Regression Approach
    • Authors: Ezra Gayawan; Samson B. Adebayo; Akinola A. Komolafe; Abayomi A. Akomolafe
      Abstract: Issues of malnutrition among young children in developing countries are gaining more attention of policy-makers because of the adverse effects on the well-being of people and economic of these nations. Anthropometric variables used for determining malnutrition are measured through z-scores where those whose measures fall into the extreme ends of the scores are considered malnourished. Conditional mean regression has been adopted to examine the determinants but often times, covariates would have effect on the mean, but have no substantial influence on more extreme quantiles. We adopt Bayesian quantile regression approach to measure the spatial distributions of childhood undernutrition at state and local government levels in Nigeria. Markov random fields and Bayesian P-splines were used as priors for the spatial and nonlinear components respectively and estimation was through MCMC technique. Results show the existence of north-south divide in undernutrition in Nigeria and that observed socioeconomic variables could have little influence on the distribution of undernutrition across space in the country.
      PubDate: 2017-10-09
      DOI: 10.1007/s12061-017-9240-8
       
  • Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and
           Location-Based Methods
    • Authors: Jose Morales; Johannes Flacke; Javier Morales; Jaap Zevenbergen
      Abstract: Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as the easiness to reach land-uses by means of available mobility modes. Space Syntax instead analyses accessibility as network centrality focusing only on the topological and geometric properties of urban layouts, making it comparatively less data-intense. However, the interpretation of its outputs is limited to its own theory. Knowledge is missing on how such metrics are comparable to the metrics produced by location-based methods. The objective of the research was to compare both approaches for mapping urban accessibility in two cities in Guatemala. Our hypothesis tested the assumption that Space Syntax metrics could consistently reflect accessibility conditions that so far have only been measured by location-based methods. We proposed an approach using volunteered geo-information and produced accessibility maps following both approaches that were then compared using Pearson correlations. Space Syntax metrics at low and high radii are consistently correlated with location-based access to land uses that reflect location quality at neighbourhood and city-wide scale correspondingly. Space Syntax metrics at lower radii reflect time-based access restrictions either posed in the location-based analyses or by reduced accessibility by public transport. The hypothesis acceptance, p < 0.01, expands the scope of accessibility knowledge derivable from limited data availability using Space Syntax, which is relevant for its applicability in data-scarce contexts by planners and researchers in the Global South. Rather than replacing location-based methods Space Syntax offers an important complementary measure to geographical accessibility. This having been said, Space Syntax could contribute to early-stage planning by gaining overall insights into patterns of urban access.
      PubDate: 2017-10-02
      DOI: 10.1007/s12061-017-9239-1
       
  • The Cost of School Consolidation Policy: Implications from Decomposing
           School Commuting Distances in Yanqing, Beijing
    • Authors: Te-qi Dai; Liang Wang; Yu-chao Zhang; Cong Liao; Zheng-bing Liu
      Abstract: School consolidation may be an effective policy option in regions where demand for schooling is thin—after taking into account its effects on the school commuting distance, the education quality and economies of scale. The effects of consolidation on the educational quality and the economies of scale have been well researched; but studies on the commuting distance are limited in scope because they usually rely on comparing distances pre- and post-consolidation—which may exaggerate the consolidation’s effect. In this study, optimization approaches are used to decompose school commuting distances at Yanqing, Beijing, based on survey data. The costs of long-distance school commuting as a result of consolidation are estimated after decomposing the effects of school districting, school location and financial stimulation. The findings indicate that these factors contribute significantly to pupils’ long travel distance, and the negative effect of consolidation on school size standardization is exaggerated. These results imply that long-distance school commuting should not be the rationale for a suspension of the central government’s consolidation policy.
      PubDate: 2017-09-26
      DOI: 10.1007/s12061-017-9238-2
       
  • Can Urban Lake Recreational Pressure Be Measured' The Impacts of
           Urbanization on Wuhan’s Lakes
    • Authors: Yan Gao; Zutao Deng; Alastair M. Morrison
      Abstract: Recreational activities are becoming one of the most important functions of urban lakes, but the pressure caused by increasing use has not been given adequate research attention. With Wuhan in Hubei, China as the case study, this research applies ArcGis10.2 network analysis function in an accessibility analysis of its urban lakes. Lake recreational pressure (LRP) is measured by integrating the accessibility analysis with Kriging Interpolation results of the population density spatial distribution of 90 center city streets and the travel rate (TR) formula (adapted from Koch 1978). The results show that 96% of the total area of Wuhan’s lakes are reachable within 15 min, but this good accessibility leads to higher recreational pressure. Traffic accessibility and population density were positively correlated to lake recreational pressure. Wuhan’s urban lakes were divided into five categories by the lake recreational pressure index (LRPI). A lake pressure mitigation strategy is suggested, with the management, ecological conservation, recreational development, and spatial configuration being guided by the LRPI grades of each lake.
      PubDate: 2017-09-25
      DOI: 10.1007/s12061-017-9241-7
       
  • Improving Gender Equality in Higher Education in Turkey
    • Authors: Semra Gunay Aktas; Evrim Genc Kumtepe; Yeliz Mert Kantar; Ibrahim Cemil Ulukan; Sinan Aydin; Talha Aksoy; Fikret Er
      Abstract: Women’s representation in education-especially in higher education- is an important part of broader gender equity discussions. The gender imbalance in education is not a new issue; and Turkey is no exception. In fact, this has been the subject of an ongoing debate for years throughout the world. Governments from all around the world try to enhance gender equity in education, along with other facets of the issue, such as economical, social, work, etc. Since its inception, Turkey’s largest distance education provider Anadolu University, even though it is not an intended institutional policy, contribute to enhance the equal representation of both men and women in higher education. The study specifically aimed at to assess how gender ratio has evolved over 32 years, whether spatial clustering exists within the gender data around the country, and to what extent women were represented in higher education programs. To answer these queries, gender ratio datasets were examined using visual (mapping) and spatial cluster analyses. Findings support that, distant programs of the university have helped more women participate in higher education programs across the country over the years, leading to relatively more normalized distribution of gender in education across the geographical regions. Findings are encouraging for the University administration towards tailoring programs to attract more women, and the disadvantaged groups into the academic programs. Also, fee and payment structures of the courses can be re-aligned to better serve disadvantaged regions of the country. In addition, institutions all around the world providing mass distance education can review Anadolu University’s cost and program structure to create their own structures to enhance their gender equality issues in education.
      PubDate: 2017-09-22
      DOI: 10.1007/s12061-017-9235-5
       
  • Violence and Local Development in Fortaleza, Brazil: A Spatial Regression
           Analysis
    • Authors: Victor Hugo de Oliveira; Cleyber Nascimento de Medeiros; José Raimundo Carvalho
      Abstract: Fortaleza is the fifth largest city of Brazil, and has become the most violent state capital in the last years. In this paper, we investigate whether violent crime rates are associated with the local development of the city. Using an unexplored data source about georeferenced murders and deaths due to bodily injury and theft, we show that violent crime rates exhibit a positive spatial dependence across clusters of census tracts. In other words, small urban areas with high (low) violent crime rates have neighbors, on average, with similar pattern of violent crime rates. Investigating the relationship between violent crime rates and variables associated with local development, spatial regressions suggest that high violent crime rates are related with low-income neighborhood, with high spatial isolation of poor households, low access to urban infrastructure, and high prevalence of illiterate adolescents and young black males. The study also provides important evidence about spillover effects that helps to understand how the absence of local development can expose neighbors to violence.
      PubDate: 2017-09-20
      DOI: 10.1007/s12061-017-9236-4
       
  • Network Constrained Spatio-Temporal Hotspot Mapping of Crimes in
           Faisalabad
    • Authors: Shoaib Khalid; Fariha Shoaib; Tianlu Qian; Yikang Rui; Arezu Imran Bari; Muhammad Sajjad; Muhammad Shakeel; Jiechen Wang
      Abstract: The Network Kernel Density Estimation (NetKDE) is a useful tool for visualization of point events over a network space, but it lacks in expressing the statistical significance of the mapped phenomenon. In this paper, we discuss the network hotspot detection of street crimes by integrating the NetKDE and the Getis-Ord GI* statistics. We selected four types of network-constrained crimes, i.e., bike theft, car theft, robbery, and snatching. The NetKDE is a useful technique to study the patterns of crimes bounded by the road networks. We used the Spatial Analysis along Networks (SANET) tools for computing the Network Kernel Density Estimation (NetKDE) and utilized the results of the NetKDE as input values for computing the Getis-Ord GI* statistics. The combination of these two methods can detect the network-constrained hotspots that are statistically significant. We also performed the network K-function, the extension of the Ripley’s K-function on networks. The network K-function analysis displays the significant clustering of crime events at different scales. Results demonstrated that the intensity of street crimes are strongly concentrated in the central part of the city. Moreover, the results reflected that the functional nature of different urban land use affects the frequency of crime events. Various urban land uses such as commercial, residential and industrial area seemed to influence the distribution of different types of crimes. The hotspot analysis has real potential, impacting the police patrolling protocols. The methods presented in this study suggest that there is a need to distinguish the planar and network hotspots and crime prevention policies could be enacted according to the type of hotspots.
      PubDate: 2017-09-18
      DOI: 10.1007/s12061-017-9230-x
       
  • Exploring the Links Between Education and Income Inequality at the
           Municipal Level in Greece
    • Authors: Anastasia Panori; Yannis Psycharis
      Abstract: This paper builds upon the EU2020 strategy, following the smart and inclusive growth paradigm, that treats human capital as a central component of regional development. However, there are cases of smart growth policies, focusing on skills’ empowerment, which may not yield the expected results, in terms of social cohesion aspects. Given this fact, the role of regional specificities, such as the extent to which an economy is characterized by a knowledge-based structure, constitute essential parameters that need to be taken into consideration during a policy-design process. This study aims to provide an evidence-based sub-regional analysis to assist processes regarding place-based policy design for socio-economic inclusion, in the case of Greece. More specifically, it investigates the links between education and income inequality, at a municipal level during the period 1994–2012, using a balanced panel dataset. The results indicate a negative effect of educational level on the formation of income inequality, probably due to the lack of an advanced knowledge-based economic structure in the case of the Greek economy. The significance of incorporating local particularities in the analysis, such as human capital endowments and time-varying socio-economic disturbances, as the 2008 economic crisis, is also stressed. Finally, the econometric method used in this paper includes the development of a DSEM model estimated by a system GMM estimator.
      PubDate: 2017-09-14
      DOI: 10.1007/s12061-017-9234-6
       
  • Measuring Regional Differences in Labour Market Sensitivity in Hungary
    • Authors: Levente Alpek; Robert Tésits
      Abstract: The core of this study is the development of a statistical tool for measuring the regional labour market sensitivity. The goal is to present and apply a general index, which can be used in other disciplines as well. An additional objective is the evaluation of the social and economic processes affecting the labour market, and the identification of highly vulnerable areas exposed to crises. In this study, sensitivity means the relative volume of responsiveness to the labour market changes in the examined areas. Former spatial statistical methods have tried to identify the regional differentiating factors of unemployment; however, they did not reveal the extent to which the villages and towns were exposed to economic and employment changes. A new index provides this opportunity. It evaluates the processes of regional unemployment, the degree of exposure to the crisis and the employment mechanisms with particular regard to public employment programmes. The research explores and evaluates the specific labour market vulnerability and macro-regional structure of the settlements of Hungary with the help of the developed index. Thus at least three new elements of the national spatial structure will be revealed which enables us to prepare for socio-economic changes similar to the latest crisis.
      PubDate: 2017-09-14
      DOI: 10.1007/s12061-017-9237-3
       
 
 
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