|
[1]
|
A review of the application and implications of cellular automata-based urban growth model in africa
South African Geographical Journal,
2024
DOI:10.1080/03736245.2024.2308909
|
|
|
|
|
[2]
|
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change
Computers, Environment and Urban Systems,
2023
DOI:10.1016/j.compenvurbsys.2022.101895
|
|
|
|
|
[3]
|
Determining Urban Expansion Areas Using Parcel-Based Estimation Model: Saray Case Study
Environmental Modeling & Assessment,
2023
DOI:10.1007/s10666-023-09878-1
|
|
|
|
|
[4]
|
Spatio-temporal assessment of land use land cover based on trajectories and cellular automata Markov modelling and its impact on land surface temperature of Lahore district Pakistan
Environmental Monitoring and Assessment,
2023
DOI:10.1007/s10661-022-10738-w
|
|
|
|
|
[5]
|
A distance-driven urban simulation model (DISUSIM): Accounting for urban morphology at multiple landscape levels
Cities,
2023
DOI:10.1016/j.cities.2022.104156
|
|
|
|
|
[6]
|
Urban Growth Simulations in a Medium-Sized City of Mangaluru, India, Through CA-Based SLEUTH Urban Growth Model
Journal of the Indian Society of Remote Sensing,
2023
DOI:10.1007/s12524-022-01638-0
|
|
|
|
|
[7]
|
Expatriates’ Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
Housing Policy Debate,
2023
DOI:10.1080/10511482.2021.1962939
|
|
|
|
|
[8]
|
Spatial and Temporal Analysis of Land Use and Land Cover Change In and Around Kolkata City, India, Using Geospatial Techniques
Journal of the Indian Society of Remote Sensing,
2023
DOI:10.1007/s12524-023-01669-1
|
|
|
|
|
[9]
|
Determining Urban Expansion Areas Using Parcel-Based Estimation Model: Saray Case Study
Environmental Modeling & Assessment,
2023
DOI:10.1007/s10666-023-09878-1
|
|
|
|
|
[10]
|
Smart growth and urban transport network "Study area - Old Karkh"
3RD INTERNATIONAL CONFERENCE ON SMART CITIES AND SUSTAINABLE PLANNING,
2023
DOI:10.1063/5.0165840
|
|
|
|
|
[11]
|
Defining Urban India: Finding Order in Chaos
Current Landscape Ecology Reports,
2023
DOI:10.1007/s40823-023-00093-y
|
|
|
|
|
[12]
|
Urban growth modelling in Qazvin, Iran: an investigation into the performance of three ANFIS methods
Journal of Spatial Science,
2023
DOI:10.1080/14498596.2022.2066579
|
|
|
|
|
[13]
|
Spatio-temporal assessment of land use land cover based on trajectories and cellular automata Markov modelling and its impact on land surface temperature of Lahore district Pakistan
Environmental Monitoring and Assessment,
2023
DOI:10.1007/s10661-022-10738-w
|
|
|
|
|
[14]
|
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change
Computers, Environment and Urban Systems,
2023
DOI:10.1016/j.compenvurbsys.2022.101895
|
|
|
|
|
[15]
|
Land-Use/Land Cover Changes Contribute to Land Surface Temperature: A Case Study of the Upper Indus Basin of Pakistan
Sustainability,
2022
DOI:10.3390/su14020934
|
|
|
|
|
[16]
|
Land use/land cover dynamics study and prediction in jaipur city using CA markov model integrated with road network
GeoJournal,
2022
DOI:10.1007/s10708-022-10593-9
|
|
|
|
|
[17]
|
Likelihood of Transformation to Green Infrastructure Using Ensemble Machine Learning Techniques in Jinan, China
Land,
2022
DOI:10.3390/land11030317
|
|
|
|
|
[18]
|
Urban growth modelling in Qazvin, Iran: an investigation into the performance of three ANFIS methods
Journal of Spatial Science,
2022
DOI:10.1080/14498596.2022.2066579
|
|
|
|
|
[19]
|
Dynamic simulation of urban growth and land use change using an integrated cellular automata and markov chain models: a case of Bahir Dar city, Ethiopia
Arabian Journal of Geosciences,
2022
DOI:10.1007/s12517-022-10304-1
|
|
|
|
|
[20]
|
Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan
Sensors,
2022
DOI:10.3390/s22134965
|
|
|
|
|
[21]
|
Cellular Automata in Modeling and Predicting Urban Densification: Revisiting the Literature since 1971
Land,
2022
DOI:10.3390/land11071113
|
|
|
|
|
[22]
|
Mapping and Forecasting Land Use
2022
DOI:10.1016/B978-0-323-90947-1.00001-6
|
|
|
|
|
[23]
|
Urban growth Prediction for Sustainable Urban Management Using Markov Chain Model: A Study on Purulia Municipality, West Bengal, India
Journal of the Indian Society of Remote Sensing,
2022
DOI:10.1007/s12524-022-01596-7
|
|
|
|
|
[24]
|
Modeling spatio-temporal assessment of land use land cover of Lahore and its impact on land surface temperature using multi-spectral remote sensing data
Environmental Science and Pollution Research,
2022
DOI:10.1007/s11356-022-23928-3
|
|
|
|
|
[25]
|
Hücresel otomata markov zincir yöntemi ile kentsel yayılmanın modellenmesi: Kerkük ili örneği
Geomatik,
2022
DOI:10.29128/geomatik.852900
|
|
|
|
|
[26]
|
A Distance-Driven Urban Simulation Model (DISUSIM): Accounting For Urban Morphology At Multiple Landscape Levels
SSRN Electronic Journal ,
2022
DOI:10.2139/ssrn.4171720
|
|
|
|
|
[27]
|
Modeling spatio-temporal assessment of land use land cover of Lahore and its impact on land surface temperature using multi-spectral remote sensing data
Environmental Science and Pollution Research,
2022
DOI:10.1007/s11356-022-23928-3
|
|
|
|
|
[28]
|
Urban Growth Simulations in a Medium-Sized City of Mangaluru, India, Through CA-Based SLEUTH Urban Growth Model
Journal of the Indian Society of Remote Sensing,
2022
DOI:10.1007/s12524-022-01638-0
|
|
|
|
|
[29]
|
Land use/land cover dynamics study and prediction in jaipur city using CA markov model integrated with road network
GeoJournal,
2022
DOI:10.1007/s10708-022-10593-9
|
|
|
|
|
[30]
|
The story of five MENA cities: Urban growth prediction modeling using remote sensing and video analytics
Cities,
2021
DOI:10.1016/j.cities.2021.103393
|
|
|
|
|
[31]
|
Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model
Sustainability,
2021
DOI:10.3390/su13020471
|
|
|
|
|
[32]
|
Monitoring Spatial-Temporal Transition Dynamics of Transport Infrastructure Space in Urban Growth Phenomena: A Case Study of Lagos—Nigeria
Frontiers in Future Transportation,
2021
DOI:10.3389/ffutr.2021.673110
|
|
|
|
|
[33]
|
Land Use - Land Cover Change Analysis of Karur Town - A GIS Approach
International Journal of Scientific Research in Science and Technology,
2021
DOI:10.32628/IJSRST218373
|
|
|
|
|
[34]
|
Expatriates’ Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
Housing Policy Debate,
2021
DOI:10.1080/10511482.2021.1962939
|
|
|
|
|
[35]
|
The story of five MENA cities: Urban growth prediction modeling using remote sensing and video analytics
Cities,
2021
DOI:10.1016/j.cities.2021.103393
|
|
|
|
|
[36]
|
Urban Expansion Simulation Based on Various Driving Factors Using a Logistic Regression Model: Delhi as a Case Study
Sustainability,
2021
DOI:10.3390/su131910805
|
|
|
|
|
[37]
|
Simulating City Expansion Using a CA Urban Growth Model, Through a Case Study of Nairobi, Kenya
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS,
2021
DOI:10.1109/IGARSS47720.2021.9553208
|
|
|
|
|
[38]
|
Identifying Spatial Driving Factors of Energy and Water Consumption in the Context of Urban Transformation
Sustainability,
2021
DOI:10.3390/su131910503
|
|
|
|
|
[39]
|
Modelling multi-regional urban growth with multilevel logistic cellular automata
Computers, Environment and Urban Systems,
2020
DOI:10.1016/j.compenvurbsys.2019.101457
|
|
|
|
|
[40]
|
Invited perspectives: How machine learning will change flood risk and impact assessment
Natural Hazards and Earth System Sciences,
2020
DOI:10.5194/nhess-20-1149-2020
|
|
|
|
|
[41]
|
Simulation of Urban Expansion in Estonia for 2046 Using Cellular Automata Model Based on the CORINE Land Cover Database
Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis,
2020
DOI:10.1145/3397056.3397057
|
|
|
|
|
[42]
|
The Urbanization Run-Up in Italy: From a Qualitative Goal in the Boom Decades to the Present and Future Unsustainability
Land,
2020
DOI:10.3390/land9090301
|
|
|
|
|
[43]
|
Improvement of an Urban Growth Model for Railway-Induced Urban Expansion
Sustainability,
2020
DOI:10.3390/su12176801
|
|
|
|
|
[44]
|
Exploring the Spatial-Temporal Dynamics of the Yangtze River Delta Urban Agglomeration Based on Night-Time Light Remote Sensing Technology
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2020
DOI:10.1109/JSTARS.2020.3022178
|
|
|
|
|
[45]
|
CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan
Remote Sensing,
2020
DOI:10.3390/rs12203402
|
|
|
|
|
[46]
|
Simulation of Urban Expansion in Estonia for 2046 Using Cellular Automata Model Based on the CORINE Land Cover Database
Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis,
2020
DOI:10.1145/3397056.3397057
|
|
|
|
|
[47]
|
Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture
Computer-Aided Civil and Infrastructure Engineering,
2020
DOI:10.1111/mice.12503
|
|
|
|
|
[48]
|
Simulation of Urban Expansion in Estonia for 2046 Using Cellular Automata Model Based on the CORINE Land Cover Database
Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis,
2020
DOI:10.1145/3397056.3397057
|
|
|
|
|
[49]
|
SimCT
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation,
2019
DOI:10.1145/3356470.3365526
|
|
|
|
|
[50]
|
SimCT
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation,
2019
DOI:10.1145/3356470.3365526
|
|
|
|
|
[51]
|
High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model
Scientific Data,
2019
DOI:10.1038/s41597-019-0048-z
|
|
|
|
|
[52]
|
High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model
Scientific Data,
2019
DOI:10.1038/s41597-019-0048-z
|
|
|
|
|
[53]
|
Simulación del crecimiento urbano de la zona metropolitana Tepic-Xalisco, México
Estudios Geográficos,
2019
DOI:10.3989/estgeogr.201938.018
|
|
|
|
|
[54]
|
Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture
Computer-Aided Civil and Infrastructure Engineering,
2019
DOI:10.1111/mice.12503
|
|
|
|
|
[55]
|
Remote Sensing-Based Quantification of the Relationships between Land Use Land Cover Changes and Surface Temperature over the Lower Himalayan Region
Sustainability,
2019
DOI:10.3390/su11195492
|
|
|
|
|
[56]
|
Farming under urban pressure: Farmers' land use and land cover change intentions
Applied Geography,
2019
DOI:10.1016/j.apgeog.2018.12.009
|
|
|
|
|
[57]
|
DEVELOPING AN AUTOMATED METHOD FOR THE APPLICATION OF LIDAR IN IUMAT LAND-USE MODEL: ANALYSIS OF LAND-USE CHANGES USING BUILDING-FORM PARAMETERIZATION, GIS, AND ARTIFICIAL NEURAL NETWORKS
Journal of Green Building,
2019
DOI:10.3992/1943-4618.14.1.1
|
|
|
|
|
[58]
|
Estimation of Single-Housing Areas Development Using Artificial Neural Network
IOP Conference Series: Materials Science and Engineering,
2019
DOI:10.1088/1757-899X/471/10/102064
|
|
|
|
|
[59]
|
High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model
Scientific Data,
2019
DOI:10.1038/s41597-019-0048-z
|
|
|
|
|
[60]
|
Analysis and Predicting the Trend of Land Use/Cover Changes Using Neural Network and Systematic Points Statistical Analysis (SPSA)
Journal of the Indian Society of Remote Sensing,
2019
DOI:10.1007/s12524-019-00995-7
|
|
|
|
|
[61]
|
Analysis and Prediction of Urban Growth Using Neural-Network-Coupled Agent-Based Cellular Automata Model for Chennai Metropolitan Area, Tamil Nadu, India
Journal of the Indian Society of Remote Sensing,
2019
DOI:10.1007/s12524-019-01003-8
|
|
|
|
|
[62]
|
Combining urban scaling and polycentricity to explain socio-economic status of urban regions
PLOS ONE,
2019
DOI:10.1371/journal.pone.0218022
|
|
|
|
|
[63]
|
Land Use Change Detection and Prediction in Upper Siem Reap River, Cambodia
Hydrology,
2019
DOI:10.3390/hydrology6030064
|
|
|
|
|
[64]
|
Modeling an Indian megalopolis– A case study on adapting SLEUTH urban growth model
Computers, Environment and Urban Systems,
2019
DOI:10.1016/j.compenvurbsys.2019.101358
|
|
|
|
|
[65]
|
The Prediction of City Expansion and Land Surface Temperature in Bogor City, Indonesia
Sustainable Cities and Society,
2019
DOI:10.1016/j.scs.2019.101772
|
|
|
|
|
[66]
|
Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology
Sustainability,
2019
DOI:10.3390/su11184953
|
|
|
|
|
[67]
|
Spatio-temporal urban growth dynamics of Lagos Metropolitan Region of Nigeria based on Hybrid methods for LULC modeling and prediction
European Journal of Remote Sensing,
2018
DOI:10.1080/22797254.2017.1419831
|
|
|
|
|
[68]
|
Assessing the Effect of Spatial Proximity on Urban Growth
Sustainability,
2018
DOI:10.3390/su10051308
|
|
|
|
|
[69]
|
A Method for Mapping Future Urbanization in the United States
Urban Science,
2018
DOI:10.3390/urbansci2020040
|
|
|
|
|
[70]
|
Modeling non-stationary urban growth: The SPRAWL model and the ecological impacts of development
Landscape and Urban Planning,
2018
DOI:10.1016/j.landurbplan.2018.04.018
|
|
|
|
|
[71]
|
Land Use Change at the Historical Tourist Attractions of Umm Qais, Jordan: GIS and Markov Chain Analyses
International Journal of Historical Archaeology,
2018
DOI:10.1007/s10761-018-0464-3
|
|
|
|
|
[72]
|
Geospatial modelling of urban growth for sustainable development in the Niger Delta Region, Nigeria
International Journal of Remote Sensing,
2018
DOI:10.1080/01431161.2018.1539271
|
|
|
|
|
[73]
|
Anticipating trade-offs between urban patterns and ecosystem service production: Scenario analyses of sprawl alternatives for a rapidly urbanizing region
Computers, Environment and Urban Systems,
2018
DOI:10.1016/j.compenvurbsys.2018.10.003
|
|
|
|
|
[74]
|
Monitoring Urban Clusters Expansion in the Middle Reaches of the Yangtze River, China, Using Time-Series Nighttime Light Images
Remote Sensing,
2017
DOI:10.3390/rs9101007
|
|
|
|
|
[75]
|
Modeling urban expansion by using variable weights logistic cellular automata: a case study of Nanjing, China
International Journal of Geographical Information Science,
2017
DOI:10.1080/13658816.2017.1283505
|
|
|
|
|
[76]
|
Spatial Validation of Land Use Change Models Using Multiple Assessment Techniques: A Case Study of Transition Potential Models
Environmental Modeling & Assessment,
2017
DOI:10.1007/s10666-017-9564-4
|
|
|
|
|
[77]
|
An Internet-Based GIS Platform Providing Data for Visualization and Spatial Analysis of Urbanization in Major Asian and African Cities
ISPRS International Journal of Geo-Information,
2017
DOI:10.3390/ijgi6080257
|
|
|
|
|
[78]
|
Graph Cellular Automata with Relation-Based Neighbourhoods of Cells for Complex Systems Modelling: A Case of Traffic Simulation
Symmetry,
2017
DOI:10.3390/sym9120322
|
|
|
|
|
[79]
|
Urban Land Allocation Model of Territorial Expansion by Urban Planners and Housing Developers
Environments,
2017
DOI:10.3390/environments5010005
|
|
|
|
|
[80]
|
Configuring the neighbourhood effect in irregular cellular automata based models
International Journal of Geographical Information Science,
2017
DOI:10.1080/13658816.2016.1219035
|
|
|
|
|
[81]
|
Urban hypotheses and spatiotemporal characterization of urban growth in the Treasure Valley of Idaho, USA
Applied Geography,
2017
DOI:10.1016/j.apgeog.2016.12.002
|
|
|
|
|
[82]
|
Monitoring Urban Growth and the Nepal Earthquake 2015 for Sustainability of Kathmandu Valley, Nepal
Land,
2017
DOI:10.3390/land6020042
|
|
|
|
|
[83]
|
Modeling Future Land Cover Changes and Their Effects on the Land Surface Temperatures in the Saudi Arabian Eastern Coastal City of Dammam
Land,
2017
DOI:10.3390/land6020036
|
|
|
|
|
[84]
|
Modeling Determinants of Urban Growth in Conakry, Guinea: A Spatial Logistic Approach
Urban Science,
2017
DOI:10.3390/urbansci1020012
|
|
|
|
|
[85]
|
Implementation and calibration of a new irregular cellular automata-based model for local urban growth simulation: The MUGICA model
Environment and Planning B: Urban Analytics and City Science,
2017
DOI:10.1177/2399808317709280
|
|
|
|
|
[86]
|
Dynamic simulation of urban expansion through a CA-Markov model Case study: Hyrcanian region, Gilan, Iran
European Journal of Remote Sensing,
2016
DOI:10.5721/EuJRS20164927
|
|
|
|
|
[87]
|
Applying a Hybrid Model of Markov Chain and Logistic Regression to Identify Future Urban Sprawl in Abouelreesh, Aswan: A Case Study
Geosciences,
2016
DOI:10.3390/geosciences6040043
|
|
|
|
|
[88]
|
Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment
ISPRS International Journal of Geo-Information,
2016
DOI:10.3390/ijgi5120243
|
|
|
|
|
[89]
|
Spatiotemporal Modeling of Urban Growth Predictions Based on Driving Force Factors in Five Saudi Arabian Cities
ISPRS International Journal of Geo-Information,
2016
DOI:10.3390/ijgi5080139
|
|
|
|
|
[90]
|
Analyzing Spatiotemporal Patterns of Urbanization in Treasure Valley, Idaho, USA
Applied Spatial Analysis and Policy,
2016
DOI:10.1007/s12061-016-9215-1
|
|
|
|
|
[91]
|
Linking MODIS-derived forest and cropland land cover 2011 estimations to socioeconomic and environmental indicators for the European Union’s 28 countries
GIScience & Remote Sensing,
2016
DOI:10.1080/15481603.2015.1118977
|
|
|
|
|
[92]
|
ASSURE: a model for the simulation of urban expansion and intra-urban social segregation
International Journal of Geographical Information Science,
2016
DOI:10.1080/13658816.2016.1177641
|
|
|
|
|
[93]
|
Modeling Urban Expansion in Bangkok Metropolitan Region Using Demographic–Economic Data through Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models
Sustainability,
2016
DOI:10.3390/su8070686
|
|
|
|
|
[94]
|
The Modeling of Institutional Modernization by Means of Fractal Geometry
SAGE Open,
2016
DOI:10.1177/2158244016640858
|
|
|
|
|
[95]
|
CityProphet
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '16,
2016
DOI:10.1145/2971648.2971718
|
|
|
|
|
[96]
|
Etalement urbain et géoprospective : apports et limites des modèles de spatialisation
Cybergeo,
2016
DOI:10.4000/cybergeo.27668
|
|
|
|
|
[97]
|
Sciences urbaines : interdisciplinarités passive, naïve, transitive, offensive
Métropoles,
2015
DOI:10.4000/metropoles.5107
|
|
|
|
|
[98]
|
Sciences urbaines : interdisciplinarités passive, naïve, transitive, offensive
Métropoles,
2015
DOI:10.4000/metropoles.5107
|
|
|
|
|
[99]
|
Impacts of Spatial Extend and Site Location on Calibration of Urban Growth Models
Current Urban Studies,
2015
DOI:10.4236/cus.2015.32008
|
|
|
|
|
[100]
|
Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study
International Journal of Geographical Information Science,
2015
DOI:10.1080/13658816.2014.993989
|
|
|
|
|
[101]
|
International Encyclopedia of the Social & Behavioral Sciences
2015
DOI:10.1016/B978-0-08-097086-8.74056-6
|
|
|
|
|
[102]
|
From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory
Computers, Environment and Urban Systems,
2015
DOI:10.1016/j.compenvurbsys.2015.07.004
|
|
|
|
|
[103]
|
Effectiveness Analysis of City Expansion in the Southeast of Changchun City to Economic Development Based on DEA
Advanced Materials Research,
2014
DOI:10.4028/www.scientific.net/AMR.1073-1076.1348
|
|
|
|
|
[104]
|
Assessing the impact of training sample selection on accuracy of an urban classification: a case study in Denver, Colorado
International Journal of Remote Sensing,
2014
DOI:10.1080/01431161.2014.885152
|
|
|
|
|
[105]
|
Spatial Effects of Varying Model Coefficients in Urban Growth Modeling in Nairobi, Kenya
Journal of Geographic Information System,
2014
DOI:10.4236/jgis.2014.66053
|
|
|
|
|
[106]
|
Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS
International Journal of Geographical Information Science,
2014
DOI:10.1080/13658816.2013.845892
|
|
|
|
|
[107]
|
Analyzing Urban Sprawl in Rethymno, Greece
Journal of the Indian Society of Remote Sensing,
2014
DOI:10.1007/s12524-013-0350-8
|
|
|
|
|
[108]
|
The Necessity of Using Cloud Computing in Monitoring Metropolitan Performance
-Case Study: Tehran Metropolitan Urban Observatory
Journal of Geographic Information System,
2013
DOI:10.4236/jgis.2013.56049
|
|
|
|
|
[109]
|
Simulating Urban Growth in Nakuru (Kenya) Using Java-Based Modelling Platform XULU
2013 European Modelling Symposium,
2013
DOI:10.1109/EMS.2013.18
|
|
|
|