Mapping Emotions: Spatial Distribution of Safety Perception in the City of Olomouc

Pánek, Jiří; Pásztó, Vít; Marek, L.

doi:10.1007/978-3-319-45123-7_16

Cited by 32 publications

(18 citation statements)

References 18 publications

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“…People's perceptions of places vary depending on whether it is day or night, but they are usually perceived similarly by males and females. The four most common hot-spots mentioned in this question in Jeseník were similar to those found in research from other cities (Pánek et al 2017a, Pánek et al 2018. The most significant hot-spot, with 20% of all answers to this question, was the local bus station, followed by Smetana park (17% of answers), Liberty park (6% of answers) and the square of the heroes (4.5% of answers).…”

Section: Local Museum and Former Monasterysupporting

confidence: 81%

“…5). Mapping perceptions of safety has been conducted in various contexts and countries, often as part of wider participatory mapping activities (Lawson et al 2013, Salesses et al 2013, Lipscomb 2014, Li et al 2015, Melas et al 2015, Traunmueller et al 2015, Pánek et al 2017a, Pánek et al 2018. These researchers tend to describe the perception of safety as being linked with built-up areas, and that people's memories of a place last much longer than the real danger of criminality in various locations.…”

Section: Local Museum and Former Monasterymentioning

confidence: 99%

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Participatory Mapping in Community Participation – Case Study of Jeseník, Czech Republic

Pánek

2018

Quaestiones Geographicae

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Community participation has entered the 21st century and the era of e-participation, e-government and e-planning. With the opportunity to use Public Participation Support Systems, Computer-Aided Web Interviews and crowdsourcing mapping platforms, citizens are equipped with the tools to have their voices heard. This paper presents a case study of the deployment of such an online mapping platform in Jeseník, Czech Republic. In total, 533 respondents took part in the online mapping survey, which included six spatial questions. Respondents marked 4,714 points and added 1,538 comments to these points. The main aim of the research was to find whether there were any significant differences in the answers from selected groups (age, gender, home location) of respondents. The results show largest differences in answers of various (below 20 and above 20 year) age groups. Nevertheless further statistical examination would be needed to confirm the visual comparison.

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Section: Local Museum and Former Monasterysupporting

confidence: 81%

Section: Local Museum and Former Monasterymentioning

confidence: 99%

Participatory Mapping in Community Participation – Case Study of Jeseník, Czech Republic

Pánek

2018

Quaestiones Geographicae

Self Cite

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“…It has been applied widely in qualitative geographic information analyses to depict spatial narratives of groups or individuals [24]. Contemporary researchers frequently apply this tool in emotional mapping [41], or as complementary means with spatial video geonarratives [42], or human sensory information [43].…”

Section: Data Collectionmentioning

confidence: 99%

GIS-Based Statistical Analysis of Detecting Fear of Crime with Digital Sketch Maps: A Hungarian Multicity Study

Jakobi

Pődör

2020

IJGI

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This study evaluates fear of crime perception and official crime statistics in a spatial context, by applying digital sketch maps and statistical GIS methods. The study aims to determine explanatory motives of fear of crime by comparing results of selected large, medium and small sized Hungarian cities. Fear of crime information of residents were collected by using a web application, which gave the possibility to mark regions on a map, where respondents have a sense of safety or feel fear. These digital sketch maps were processed by GIS tools, and were converted to grid data, in order to calculate comparable explanatory variables for fear of crime analysis. The grid-based normalised model reflected some similarities and differences between the observed cities. According to the outcomes, examples were found both in coincidences and opposite correlations of crime statistics and perception of unsafe places, highlighting the importance of locality in fear of crime research. Additionally, the results mirrored that the size of the city or the respondent's sex does not significantly influence the overall judgment of places, rather the absolute number of safe markings and the local number of registered crime events could affect local results.Although numerous studies have proved that various spatial factors can trigger fear of crime, the fact is that crime rates in certain areas are not necessarily as high as expected [16,17], consequently, additional explanatory factors should be considered as well. Doran and Lees [18], for example, found relationship between fear of crime and physical disorder. Later, Doran and Burgess [3] proved that the environment in general plays an important role in fear of crime. It was recently shown that even improvements in the environment can have a positive effect on reducing fear of crime [19]. Furthermore, a large amount of studies confirmed that fears of crime are concentrated in areas, which can be described by definite environmental characteristics. For example Lederer and Leitner [20] concluded that fear of being a victim of burglary can be assigned to well-defined geographical hot spots, as well as it is connected with definite statistical features and even with areas having less technical protection.A typical problem of mapping fear of crime, though, is the lack of data on location perceptions. In many countries police have not completed any survey on this topic, therefore, their own data surveys should be made to accumulate information from, e.g., questionnaires [21] or from digital sketch maps, which would conceivably quantify-in a specific way-the level and the area of fear of crime within a city [22][23][24][25][26]. Additionally, several contemporary research papers on fear of crime apply modern IT technologies to draw a more precise picture of the issue. For example Solymosi et al. [27] developed a FOCA application (fear of crime application), which investigates fear of crime as a dynamic phenomenon by tracing the participants' activities, and in this way, the avoidance of ce...

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“…This method allows for the exploration and visualisation of the strength of associations that vary locally, showing the pattern of similar and dissimilar units. In this paper, we employed local Spearman's based on the first order queen's contiguity of CAUs [42].…”

Section: Correlations Similarities and Clusteringmentioning

confidence: 99%

Winter Is Coming: A Socio-Environmental Monitoring and Spatiotemporal Modelling Approach for Better Understanding a Respiratory Disease

Marek

Campbell

Epton

et al. 2018

IJGI

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Chronic Obstructive Pulmonary Disease is a progressive lung disease affecting the respiratory function of every sixth New Zealander and over 300 million people worldwide. In this paper, we explored how the combination of social, demographical and environmental conditions (represented by increased winter air pollution) affected hospital admissions due to COPD in an urban area of Christchurch (NZ). We juxtaposed the hospitalisation data with dynamic air pollution data and census data to investigate the spatiotemporal patterns of hospital admissions. Spatial analysis identified high-risk health hot spots both overall and season specific, exhibiting higher rates in winter months not solely due to air pollution, but rather as a result of its combination with other factors that initiate deterioration of breathing, increasing impairments and lead to the hospitalisation of COPD patients. From this we found that socioeconomic deprivation and air pollution, followed by the age and ethnicity structure contribute the most to the increased winter hospital admissions. This research shows the continued importance of including both individual (composition) and area level (composition) factors when examining and analysing disease patterns.

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Mapping Emotions: Spatial Distribution of Safety Perception in the City of Olomouc

Cited by 32 publications

References 18 publications

Participatory Mapping in Community Participation – Case Study of Jeseník, Czech Republic

Participatory Mapping in Community Participation – Case Study of Jeseník, Czech Republic

GIS-Based Statistical Analysis of Detecting Fear of Crime with Digital Sketch Maps: A Hungarian Multicity Study

Winter Is Coming: A Socio-Environmental Monitoring and Spatiotemporal Modelling Approach for Better Understanding a Respiratory Disease

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