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Jiří Horák; Lucie Orlíková; Pavel Kukuliač; Renata Zdařilová. Mapování bezbariérovosti pěších tras z pasportů a DTM. GIS Ostrava 2021 - Prostorové služby pro Smart City a Smart Region 2021, 1 .
AMA StyleJiří Horák, Lucie Orlíková, Pavel Kukuliač, Renata Zdařilová. Mapování bezbariérovosti pěších tras z pasportů a DTM. GIS Ostrava 2021 - Prostorové služby pro Smart City a Smart Region. 2021; ():1.
Chicago/Turabian StyleJiří Horák; Lucie Orlíková; Pavel Kukuliač; Renata Zdařilová. 2021. "Mapování bezbariérovosti pěších tras z pasportů a DTM." GIS Ostrava 2021 - Prostorové služby pro Smart City a Smart Region , no. : 1.
Joaquín Osorio-Arjona; Jiri Horak; Radek Svoboda; Yolanda García-Ruíz. Social media semantic perceptions on Madrid Metro system: Using Twitter data to link complaints to space. Sustainable Cities and Society 2020, 64, 1 .
AMA StyleJoaquín Osorio-Arjona, Jiri Horak, Radek Svoboda, Yolanda García-Ruíz. Social media semantic perceptions on Madrid Metro system: Using Twitter data to link complaints to space. Sustainable Cities and Society. 2020; 64 ():1.
Chicago/Turabian StyleJoaquín Osorio-Arjona; Jiri Horak; Radek Svoboda; Yolanda García-Ruíz. 2020. "Social media semantic perceptions on Madrid Metro system: Using Twitter data to link complaints to space." Sustainable Cities and Society 64, no. : 1.
Pavel Kukuliac; Jiri Horak. Analýza nezaměstnanosti pomocí Insights for ArcGIS. GIS Ostrava 2020 - Prostorová data pro Smart City a Smart Region 2020, 1 .
AMA StylePavel Kukuliac, Jiri Horak. Analýza nezaměstnanosti pomocí Insights for ArcGIS. GIS Ostrava 2020 - Prostorová data pro Smart City a Smart Region. 2020; ():1.
Chicago/Turabian StylePavel Kukuliac; Jiri Horak. 2020. "Analýza nezaměstnanosti pomocí Insights for ArcGIS." GIS Ostrava 2020 - Prostorová data pro Smart City a Smart Region , no. : 1.
Activity-based micro-scale simulation models for transport modelling provide better evaluations of public transport accessibility, enabling researchers to overcome the shortage of reliable real-world data. Current simulation systems face simplifications of personal behaviour, zonal patterns, non-optimisation of public transport trips (choice of the fastest option only), and do not work with real targets and their characteristics. The new TRAMsim system uses a Monte Carlo approach, which evaluates all possible public transport and walking origin–destination (O–D) trips for k-nearest stops within a given time interval, and selects appropriate variants according to the expected scenarios and parameters derived from local surveys. For the city of Ostrava, Czechia, two commuting models were compared based on simulated movements to reach (a) randomly selected large employers and (b) proportionally selected employers using an appropriate distance–decay impedance function derived from various combinations of conditions. The validation of these models confirms the relevance of the proportional gravity-based model. Multidimensional evaluation of the potential accessibility of employers elucidates issues in several localities, including a high number of transfers, high total commuting time, low variety of accessible employers and high pedestrian mode usage. The transport accessibility evaluation based on synthetic trips offers an improved understanding of local situations and helps to assess the impact of planned changes.
Jiri Horak; Jan Tesla; David Fojtik; Vit Vozenilek. Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava. Sustainability 2019, 11, 7098 .
AMA StyleJiri Horak, Jan Tesla, David Fojtik, Vit Vozenilek. Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava. Sustainability. 2019; 11 (24):7098.
Chicago/Turabian StyleJiri Horak; Jan Tesla; David Fojtik; Vit Vozenilek. 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava." Sustainability 11, no. 24: 7098.
Jiří Horák; Igor Ivan. Applied GIS in the context of smart regions and cities. GeoScape 2019, 13, 86 -87.
AMA StyleJiří Horák, Igor Ivan. Applied GIS in the context of smart regions and cities. GeoScape. 2019; 13 (2):86-87.
Chicago/Turabian StyleJiří Horák; Igor Ivan. 2019. "Applied GIS in the context of smart regions and cities." GeoScape 13, no. 2: 86-87.
One of the ways of improving the attractiveness of public transport is to bring it closer to its potential users. A long walking distance from a stop is often one of the critical factors limiting its more frequent and extensive use. Studies dealing with the accessibility of transport networks usually work only with the closest stop. This article analyses the actual walking distance from the place of residence to the preferred stop. The survey used a questionnaire method and was conducted in two cities in the Czech Republic—Ostrava and Olomouc. Based on the results of the study, the average walking distance was assessed and the impact of demographic characteristics (gender, age, education, number of members in the household, economic activity, the presence of a child in the household, and car ownership), transport behavior (preferred mode of transportation, car convenience and opinions on public transport), and urban characteristics (prevailing housing type) on the walking distance were analyzed. The main findings prove a significant impact on walking distance by a number of these factors, but the preferred use of a car for commuting or unemployment does not significantly affect walking distance.
Igor Ivan; Jiri Horak; Lenka Zajíčková; Jaroslav Burian; David Fojtík. Factors Influencing Walking Distance to the Preferred Public Transport Stop in selected urban centres of Czechia. GeoScape 2019, 13, 16 -30.
AMA StyleIgor Ivan, Jiri Horak, Lenka Zajíčková, Jaroslav Burian, David Fojtík. Factors Influencing Walking Distance to the Preferred Public Transport Stop in selected urban centres of Czechia. GeoScape. 2019; 13 (1):16-30.
Chicago/Turabian StyleIgor Ivan; Jiri Horak; Lenka Zajíčková; Jaroslav Burian; David Fojtík. 2019. "Factors Influencing Walking Distance to the Preferred Public Transport Stop in selected urban centres of Czechia." GeoScape 13, no. 1: 16-30.
Circular statistics or directional analysis are required for appropriate processing and analysing of circular spatio-temporal data, including various angular measurements such as trajectory data, and temporal cyclic data such as time of day or day of week. Suitable SW tools offer several types of plots and diagrams and enable calculation of measurements of central tendency, variability and concentration, and to test distribution and differences between circular variables. A short review of basic statistical indicators and usual tests is provided. The application is demonstrated on two case studies. Directional analysis of morphological lineaments and old faults show partial coincidence of directions, but also document how basic circular statistical indicators are influenced by bimodal or dispersed distribution. Multisample testing confirms significant differences between orientation of faults and lineaments. Analysis of noise violation offences in Ostrava provides an overview on how to process cyclic temporal data. The time of day is highly concentrated and depends on the day of week. To the contrary, the month and day of the year show uniform distribution.
Jiri Horak; Lucie Orlikova. Circular Statistics for Directional and Temporal Data : Case Studies of Lineaments and Noise Violations Offence. 2019 International Conference on Military Technologies (ICMT) 2019, 1 -6.
AMA StyleJiri Horak, Lucie Orlikova. Circular Statistics for Directional and Temporal Data : Case Studies of Lineaments and Noise Violations Offence. 2019 International Conference on Military Technologies (ICMT). 2019; ():1-6.
Chicago/Turabian StyleJiri Horak; Lucie Orlikova. 2019. "Circular Statistics for Directional and Temporal Data : Case Studies of Lineaments and Noise Violations Offence." 2019 International Conference on Military Technologies (ICMT) , no. : 1-6.
Igor Ivan; Jiří Horák. Registered crime hot spots in Ostrava – location, development and influencing factors. Geografický časopis - Geographical Journal 2018, 70, 1 .
AMA StyleIgor Ivan, Jiří Horák. Registered crime hot spots in Ostrava – location, development and influencing factors. Geografický časopis - Geographical Journal. 2018; 70 (1):1.
Chicago/Turabian StyleIgor Ivan; Jiří Horák. 2018. "Registered crime hot spots in Ostrava – location, development and influencing factors." Geografický časopis - Geographical Journal 70, no. 1: 1.
Public transport conditions are analysed using simulated commuting to important employers and recording data about significant features of all simulated trips. Two forms of overall public transport accessibility evaluation are compared—rule based and multivariate based classifications. Rule based classification was developed in several variants integrating two or four indicators, average and non-aggregated values. More valuable results were obtained using extended set of indicators for non-aggregated trips. The multivariate classification utilizes a novel approach to K-means cluster analysis using decile values. The comparison of both classifications shows a primary role of expert based classification. K-means cluster analysis based on deciles or median values are suitable for establishing more common typology but not for a local accessibility evaluation.
Jiří Horák; Igor Ivan; Vít Voženílek; Jan Tesla. Multidimensional Evaluation of Public Transport Accessibility. Lecture Notes in Geoinformation and Cartography 2017, 149 -164.
AMA StyleJiří Horák, Igor Ivan, Vít Voženílek, Jan Tesla. Multidimensional Evaluation of Public Transport Accessibility. Lecture Notes in Geoinformation and Cartography. 2017; ():149-164.
Chicago/Turabian StyleJiří Horák; Igor Ivan; Vít Voženílek; Jan Tesla. 2017. "Multidimensional Evaluation of Public Transport Accessibility." Lecture Notes in Geoinformation and Cartography , no. : 149-164.
Distance-based methods are applied in various fields of research. In this paper, a new relative distance-based method, the W function, is introduced. This method contributes to the assessment of spatial patterns of economic activities using the stochastic Monte Carlo simulation, and supplements the typology of distance-based methods recently drawn up by Marcon and Puech. The capability of the W function is compared with results from the Kd and the recently defined m function methods, which are widely used for monitoring the spatial distribution of economic activities by considering several theoretical and empirical examples. The W function appears to provide more precise estimations of the density of economic activities compared to the m and Kd functions, particularly in cases of complex patterns such as double clustered distribution. It also appears to provide a more accurate evaluation of dispersion.
Pavel Kukuliač; Jiri Horak. W Function: A New Distance-Based Measure of Spatial Distribution of Economic Activities. Geographical Analysis 2016, 49, 199 -214.
AMA StylePavel Kukuliač, Jiri Horak. W Function: A New Distance-Based Measure of Spatial Distribution of Economic Activities. Geographical Analysis. 2016; 49 (2):199-214.
Chicago/Turabian StylePavel Kukuliač; Jiri Horak. 2016. "W Function: A New Distance-Based Measure of Spatial Distribution of Economic Activities." Geographical Analysis 49, no. 2: 199-214.
Sparse data sets may be considered as a one of the issues of big data generating extremely uneven frequency distribution. To deal with this issue, special methods must be applied. The study is focused on the Czech graffiti crimes and selected factors (property offences, buildings, flats, garages, educational facilities, and gambling clubs) which may influence the graffiti crimes occurrence. For regression analysis decision trees with the exhaustive CHAID growing method were applied. Grid models with 100, 500 and 1000 m cells were tested. The model of 1 km grid was evaluated as the best. The most influencing factors are the occurrence of secondary schools and gambling devices enhanced for several territorial units. The results of the decision tree for 1 km grid are validated using alternative models of data aggregation—aggregation around the randomly selected building and randomly distributed points.
Jiří Horák; Igor Ivan; Tomáš Inspektor; Jan Tesla. Sparse Big Data Problem. A Case Study of Czech Graffiti Crimes. Lecture Notes in Geoinformation and Cartography 2016, 85 -106.
AMA StyleJiří Horák, Igor Ivan, Tomáš Inspektor, Jan Tesla. Sparse Big Data Problem. A Case Study of Czech Graffiti Crimes. Lecture Notes in Geoinformation and Cartography. 2016; ():85-106.
Chicago/Turabian StyleJiří Horák; Igor Ivan; Tomáš Inspektor; Jan Tesla. 2016. "Sparse Big Data Problem. A Case Study of Czech Graffiti Crimes." Lecture Notes in Geoinformation and Cartography , no. : 85-106.
The main aim of this work was to investigate the availability and capacity of educational programmes at different levels at European Higher Educational Institutions (HEI) that are directly related to disaster resilience. This investigation was important since education in disaster resilience for citizens, communities, public administrators and decision makers is vital for improving preparedness, mitigation, resistance, absorption and recovery as a result of natural disasters. For this purpose, a study on the capacity of HEIs across Europe to address the threats imposed by natural hazards has been carried out. The study was performed by using a web-based survey tool which ran for 1 year with participants from 28 European countries. Findings of this work showed a great lack of educational programmes in disaster resilience across Europe. However, in recent years, there has been an increase in such programmes mainly at postgraduate level. At undergraduate level, there is only a very limited number of such programmes, which might be related to the multidisciplinary nature of these programmes. The cohort size of the ongoing programmes indicates that they are in good health despite their young age, suggesting the potential and need for many more. The results of this study are valuable for HEIs, policy makers, decision makers and governments as it provides an insight into the existing situation across Europe with regard to educational programmes directly related to disaster resilience which can help them to focus, direct and promote education in disaster resilience according to the needs at national and European level.
Skevi Perdikou; Jiri Horak; Lena Halounová; Roshani Palliyaguru; Andrew Lees. The capacity of European Higher Educational Institutions to address threats imposed by natural hazards. Natural Hazards 2016, 81, 1447 -1466.
AMA StyleSkevi Perdikou, Jiri Horak, Lena Halounová, Roshani Palliyaguru, Andrew Lees. The capacity of European Higher Educational Institutions to address threats imposed by natural hazards. Natural Hazards. 2016; 81 (3):1447-1466.
Chicago/Turabian StyleSkevi Perdikou; Jiri Horak; Lena Halounová; Roshani Palliyaguru; Andrew Lees. 2016. "The capacity of European Higher Educational Institutions to address threats imposed by natural hazards." Natural Hazards 81, no. 3: 1447-1466.
Jiří Horák. The Role of Certification in GIS&T Education. Procedia - Social and Behavioral Sciences 2015, 174, 1356 -1363.
AMA StyleJiří Horák. The Role of Certification in GIS&T Education. Procedia - Social and Behavioral Sciences. 2015; 174 ():1356-1363.
Chicago/Turabian StyleJiří Horák. 2015. "The Role of Certification in GIS&T Education." Procedia - Social and Behavioral Sciences 174, no. : 1356-1363.
The question of modal split or modal share for commuting is still very relevant topic in the studies of transport issues. This paper deals with evaluating of real demands for individual and public transport using for daily commuting between municipalities in the Czech Republic based on data from census 2011. Results discover a strong relationship between individual transport use and geographical location. The highest share of individual transport is in western areas and less populated municipalities. Concurrently the public transport supply is analysed based on data from the Database of public transport connections which has been developing by authors since 2007. Comparing evaluated transport demand and supply, all municipalities are divided into 12 categories. Various demographical (age, education, population) and geographical (altitude, area, distance to regional and national borders, x and y coordinates) factors including commuting time are studied and discussed in four most extreme groups. Typically small demand and small supply for public transport is correlated with high car ownership index, small number of residents, and closeness of regional borders (internal peripheries).
Igor Ivan; Jiří Horák. Demand and Supply of Transport Connections for Commuting in the Czech Republic. Lecture Notes in Geoinformation and Cartography 2014, 137 -147.
AMA StyleIgor Ivan, Jiří Horák. Demand and Supply of Transport Connections for Commuting in the Czech Republic. Lecture Notes in Geoinformation and Cartography. 2014; ():137-147.
Chicago/Turabian StyleIgor Ivan; Jiří Horák. 2014. "Demand and Supply of Transport Connections for Commuting in the Czech Republic." Lecture Notes in Geoinformation and Cartography , no. : 137-147.
The accessibility evaluation of public transport is based on commuting to work conditions in Czech municipalities. Searching in time schedules are supported by client-server parallel processing. Three indicators are calculated for each municipality, district and region. Their evaluation proves the significant differences between commuting times. It indicates that traditional commuting pattern still persists in time schedules. The analysis of how regional differences in accessibility are changed according to commuting time intervals shows that accessibility for late morning is significantly decreased (compare to early morning) in all districts except of Prague and surrounding districts. The most dramatic drop of accessibility (more than 4 times) is recognised in the central part of the country. The combined evaluation of both-way accessibility for public transport discovers areas with serious restrictions on commuting to afternoon and night work shift using.
Jiří Horák; Igor Ivan; David Fojtík. Time of Day Dependency of Public Transport Accessibility in the Czech Republic. Lecture Notes in Geoinformation and Cartography 2014, 93 -108.
AMA StyleJiří Horák, Igor Ivan, David Fojtík. Time of Day Dependency of Public Transport Accessibility in the Czech Republic. Lecture Notes in Geoinformation and Cartography. 2014; ():93-108.
Chicago/Turabian StyleJiří Horák; Igor Ivan; David Fojtík. 2014. "Time of Day Dependency of Public Transport Accessibility in the Czech Republic." Lecture Notes in Geoinformation and Cartography , no. : 93-108.
The accessibility evaluation of public transport is based on commuting conditions in the Czech Republic, where still a significant part of jobs are organised in 2 or 3 work shifts. The usual indicators in such conditions suffer from time of day dependency. The analysis of time dependency is provided for commuting between Czech municipalities for several working time intervals. To conduct such a research, large database with public transport connections must be built using software solution and parallel processing of valid time tables. The sensitivity of results to time selection was partly approved. Even more, important differences in accessibility evaluation between evaluated regions are discovered - the largest changes in accessibility are in the central part (Vysocina) and the modest one in Prague and surroundings.
Jiri Horak; Igor Ivan; David Fojtík; Jaroslav Burian. Large scale monitoring of public transport accessibility in the Czech Republic. Proceedings of the 2014 15th International Carpathian Control Conference (ICCC) 2014, 157 -163.
AMA StyleJiri Horak, Igor Ivan, David Fojtík, Jaroslav Burian. Large scale monitoring of public transport accessibility in the Czech Republic. Proceedings of the 2014 15th International Carpathian Control Conference (ICCC). 2014; ():157-163.
Chicago/Turabian StyleJiri Horak; Igor Ivan; David Fojtík; Jaroslav Burian. 2014. "Large scale monitoring of public transport accessibility in the Czech Republic." Proceedings of the 2014 15th International Carpathian Control Conference (ICCC) , no. : 157-163.
Skevi Perdikou; Jiri Horak; Roshani Palliyaguru; Lena Halounová; Andrew Lees; Boyko Ranguelov; Marco Lombardi. The Current Landscape of Disaster Resilience Education in Europe. Procedia Economics and Finance 2014, 18, 568 -575.
AMA StyleSkevi Perdikou, Jiri Horak, Roshani Palliyaguru, Lena Halounová, Andrew Lees, Boyko Ranguelov, Marco Lombardi. The Current Landscape of Disaster Resilience Education in Europe. Procedia Economics and Finance. 2014; 18 ():568-575.
Chicago/Turabian StyleSkevi Perdikou; Jiri Horak; Roshani Palliyaguru; Lena Halounová; Andrew Lees; Boyko Ranguelov; Marco Lombardi. 2014. "The Current Landscape of Disaster Resilience Education in Europe." Procedia Economics and Finance 18, no. : 568-575.
The research is focused on the study of the impact of the number and the pattern of geometrical entities and colour models in map like drawings upon the file size of PNG format. The extended sample set of PNG images was generated by web map services of 15 European servers. Original images were transformed into different colour models of PNG (RGBA, RGB, Palette, interlaced, non-interlaced) and the differences of file sizes were analysed. Main influencing factors are the colour model, image density, size of lines, anti-aliasing effect and interlacing. The complexity of map drawings can be approximated by the ratio of foreground pixels in an image. In order to minimise files sizes it is recommended to transform images into appropriate palette models, to avoid anti-aliasing changes of transparency and to prefer wide lines.
Jiri Horak; Jan Růžička; Daniela Szturcová; Í Ardielli. Factors influencing PNG format image size in case of linear geometrical entities. International Journal of Intelligent Information and Database Systems 2014, 8, 375 .
AMA StyleJiri Horak, Jan Růžička, Daniela Szturcová, Í Ardielli. Factors influencing PNG format image size in case of linear geometrical entities. International Journal of Intelligent Information and Database Systems. 2014; 8 (4):375.
Chicago/Turabian StyleJiri Horak; Jan Růžička; Daniela Szturcová; Í Ardielli. 2014. "Factors influencing PNG format image size in case of linear geometrical entities." International Journal of Intelligent Information and Database Systems 8, no. 4: 375.
The paper presents results of performance tests of download services of Czech Office of Surveying, Mapping and Cadastre according to INSPIRE requirements. Methodology of testing is explained, including monitoring performance of reference servers. 26 millions of random requests were generated for each monitored operation, layer and coordinate system. The temporal development of performance indicators are analyzed and discussed. Results of performance tests approve the compliance with INSPIRE qualitative requirements for download services. All monitored services satisfy requirements of latency, capacity and availability. The latency and availability requirements are fulfilled with an abundant reserve. No problems in structure and content of responses were detected.
Jiri Horak; Jan Ruzicka; Jiří Ardielli. Performance Testing of Download Services of COSMC. Geoinformatics FCE CTU 2013, 10, 5 -14.
AMA StyleJiri Horak, Jan Ruzicka, Jiří Ardielli. Performance Testing of Download Services of COSMC. Geoinformatics FCE CTU. 2013; 10 ():5-14.
Chicago/Turabian StyleJiri Horak; Jan Ruzicka; Jiří Ardielli. 2013. "Performance Testing of Download Services of COSMC." Geoinformatics FCE CTU 10, no. : 5-14.
This paper is focused on mapping and monitoring of unemployment hot spots using registers of local authorities in the Ostrava City (Czech Republic) to identify socially excluded localities at the micro-scale. The register of unemployed persons and the population register provide data for quantification of specific indicators of a local labour situation. A share of the registered unemployed in reference to residents in productive age can substitute the rate of unemployment due to the high correlation of both indicators. The mapping of unemployment hot spots has been based on data from 2007, 2009, 2010 and 2011 using kernel density estimation. Various settings of bandwidths have been tested to identify socially excluded localities in the city in hopes of identifying the most accurate way to visualise the pattern. These localities have been identified in two expert studies and the most significant sign is considered to be increased unemployment. Appropriate settings of kernel density estimations of the unemployment indicator enable to identify the majority of experts' localised spots. The hot spots have been delimited by an isoline with a suitable boundary value obtained from an optimisation technique based on a coefficient of areal correspondence and an indicator of spatial extension. This method of isolines is recommended for mapping and monitoring of the development of localities in time.Web of Science101463
Tomáš Inspektor; Igor Ivan; Jiri Horak. Mapping and monitoring unemployment hot spots towards identification of socially excluded localities: Case study of Ostrava. Journal of Maps 2013, 10, 35 -46.
AMA StyleTomáš Inspektor, Igor Ivan, Jiri Horak. Mapping and monitoring unemployment hot spots towards identification of socially excluded localities: Case study of Ostrava. Journal of Maps. 2013; 10 (1):35-46.
Chicago/Turabian StyleTomáš Inspektor; Igor Ivan; Jiri Horak. 2013. "Mapping and monitoring unemployment hot spots towards identification of socially excluded localities: Case study of Ostrava." Journal of Maps 10, no. 1: 35-46.