BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2024-academic-tra ck//speaker//QCYMUM BEGIN:VTIMEZONE TZID:EET BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20001231T220000Z TZNAME:EET TZOFFSETFROM:+0200 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20021027T050000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20020331T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-academic-track-EMEQKF@talks.staging.osgeo.or g DTSTART;TZID=EET:20240704T120000 DTEND;TZID=EET:20240704T120500 DESCRIPTION:The aim of this study is to provide a comprehensive view of the issue of open data in Czech cities and thus give the world community an i nsight into the state of open data in the Czech Republic. It serves as a b asis for further research and implementation of open data in urban plannin g. Its results can be used not only for the benefit of the professional co mmunity but can also serve as a basis for decision-making by city authorit ies in the planning and development of urban space. The open data are ther efore integral part of developing smart cities (Ojo\, Curry\, Zeleti\, 201 5). This extensive study deals with the issue of the availability of open data in Czech cities and to what extent are they used use in the framework of urban planning and development of urban space. In the context of rapid digitization and technological progress\, open data is becoming increasin gly important for the effective management and design of urban infrastruct ure. This study systematically analyses the current state of open data in Czech cities\, identifies key aspects of their availability and examines t heir potential applications in urban planning. The study focuses in more d etail on Brno\, which is the second largest city in the Czech Republic and provides freely available data on its website data.brno.cz. \n\nThe first part of the study focuses on the theoretical framework of open data and i ts significance for modern urban planning. The basic principles of open da ta are introduced\, including the standards and formats currently in use. The advantages of open data in the context of transparent decision-making\ , citizen participation and sustainable urban development are also discuss ed. In the Czech Republic\, the possibilities of providing and using open data has been more and more discussed in the last ten years\, especially a t the level of data from state organizations. Nevertheless\, the term open data is not understood in the same way by all organizations\, when for ex ample PDF format is considered as open data format. At the same time\, we also perceive the problem of the completeness\, data quality and consisten cy of open data\, as well as missing metadata for easier understanding of lineage. \n\nThe analysis of available data in specific Czech cities follo ws up in the second part of the study. The analysis performed includes the identification of existing data sources such as geographic data\, traffic information\, demographic data and other relevant information for urban p lanning. Each data source is subject to a detailed evaluation\, including assessment of quality\, topicality and availability. The Czech regional ci ties try to provide open data using geoportals.\, The largest geoportals a re data.brno.cz\, geoportalpraha.cz\, mapy.ostrava.cz\, but there exist ot hers. However\, state-government institutions also provide data. The geopo rtal.cuzk.cz and subsequently geoportal.gov.cz might be considered as the largest provider of data (including open data). A large amount of basic st atistical data is provided by the Czech Statistical Office\, including the last census from 2021\, published mainly as open data. \n\nRegular hackat hons are already organized to increase awareness about open data on these portals\, to illustrate the range of possible use of data and the power of making data available to a wide professional and general public. One of t he most creative examples can be the Minecraft world derived from a 3D mod el of the city of Brno. Such an unconventional method may better attract g eneral public to think more about their city and how to contribute to its improvement. \n\nIn the following part of the study\, concrete examples of the use of open data in urban planning are presented. The making availabl e of 3D data of cities became one of the most significant step for the nee ds of architectural or urban studies. We cannot forget the making accessib le of the basic map study (The Fundamental Base of Geographic Data of the Czech Republic) including Digital model of relief\, Digital model of surfa ce and orthophoto in the form of open data last year by the State Administ ration of Land Surveying and Cadastre. Some potential can be hidden in the emerging Digital Technical Map. Different insights onto the location can arise with the optics of the crime rate published by police office. In sho rt\, successful projects are described where open data played a key role i n optimizing traffic\, planning public spaces\, and improving the quality of life of residents. Based on these examples\, recommendations are propos ed for the further development and use of open data in the urban planning environment. \n\nIn the final part of the study\, the challenges and oppor tunities associated with the implementation of open data in Czech cities a re discussed. Potential strategies for improving the availability of open data are presented\, including collaboration between city authorities\, th e academic sector and civil society. In addition\, ethical and security is sues related to the handling and sharing of sensitive data in an urban con text are stressed. DTSTAMP:20261008T162711Z LOCATION:Omicum SUMMARY:Does open data open new horizons in urban planning? - Nikola Koktav á URL:https://talks.staging.osgeo.org/foss4g-europe-2024-academic-track/talk/ EMEQKF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-academic-track-33VEW9@talks.staging.osgeo.or g DTSTART;TZID=EET:20240704T121000 DTEND;TZID=EET:20240704T121500 DESCRIPTION:The popularity of participative mapping continuously grows and is becoming an essential tool to involve citizens in urban planning\, arch itectural solutions and transport design. Citizens can quickly and easily review proposals and variants\, explore models and visualizations\, expres s their opinions\, pin comments\, and vote on their favourites (Ribeiro an d Ribeiro 2016). Emotional maps and similar mapping tools are frequently u sed in Czechia\, especially for mapping citizens’ attitudes towards both physical and social features of the urban environment. Quantitative asses sment of mapping results can help urban planners better understand citizen s’ perception and improve the targeting of planned measures (Camara\, Ca mboim\, and Bravo 2021). Discussion sometimes arises about the validity of such mapping\, complementarity or substitution of traditional questionnai re surveys. The objective of the paper is to discuss benefits and weakness es of such tools and to compare them with questionnaire surveys.\nThe case study is focused on two middle-sized Czech cities\, Ostrava (OV) and Hrad ec Kralove (HK)\, and selected rural municipalities in their surroundings. Participants are all seniors (age 65+) due to the project aim of understa nding seniors’ spatial mobility\, accessibility and perception. \nThe qu estionnaire survey was conducted in 2022 by the Research Agency STEM/MARK (n=536\, PAPI method 86%\, CAWI method 14%). Quota sampling used stratific ation by age\, gender\, territory\, and urbanization based on census data. \nAt the same time\, two web map applications were launched - the emotiona l and mobility maps. We used the platform EmotionalMaps.eu which utilizes a Leaflet library (Pánek et al. 2021).\nIn the map application\, responde nts indicate their age group and health limitations\, and mark one or more locations: attractive locations\, repulsive locations\, barriers to movem ent\, attractive paths\, repulsive paths\, and approximate residence locat ion. Each marked target can be further specified by 16 reasons with a mult iple-choice option\, visiting frequency\, schedule\, and weather and socia l constraints (Horak et al. 2022).\nIn the mobility map\, respondents spec ify one or more of their favourite locations in the following categories: home\, workplace\, retail\, pharmacy\, post office\, doctor\, supermarket\ , ATM\, worship\, services\, park\, restaurant\, visiting family or friend s\, garden or cottage\, or other place. After marking each point\, they ma y specify frequency of attendance and transport mode.\nThe main advantages for emotional and mobility web mapping are cost effectiveness\, flexibili ty of use\, usually large sample size\, attractiveness of design\, ease of use for people with computer or mobile skill\, ability for accurate posit ioning of the targets\, customized map design (zoom\, pan\, etc.)\, larger extent\, ability to describe more specific conditions\, use of illustrati ve pictures or icons\, interactive help\, consistency monitoring\, integri ty constraints\, and selection from specified options. Disadvantages inclu de no validation of the respondent profile\, bias of respondents towards m ore technically skilled and wealthier people\, privacy concerns\, and dupl icate responses (Wikstrøm 2023).\nThe biggest problems were encountered w hen drawing lines to specify attractive and repulsive paths. We obtained o nly 32 records from OV and 29 records from HK and evident errors represent 19% and 40%\, respectively. \nQuota sampling was not applied on the web m apping data\, only a basic selection of the relevant age group and residen ce in HK or OV. The differences of the respondents’ profiles between the three methods of survey show clear bias towards younger and more healthy seniors in the case of web mapping and CAWI. \nAny surveys’ raw data con tains some inaccuracies\, errors\, or odd responses from people misunderst anding questions\, misusing tools\, trial responses\, intention to damage data or outputs\, or having concerns (e.g.\, losing privacy). Deviations f rom planned quota shares in the quota-based survey may result in the remov al of some respondents and/or the need to conduct an additional survey (in our case\, 40-46% in two villages). The data's temporal consistency is de teriorated by such changes. \nThe primary aim of the survey was to discove r seniors’ mobility targets. We asked for their dwelling location and up to four of their most important targets\, listed in descending order by t heir perceived importance\, written as a free text. To specify the locatio ns of residence and targets we asked for addresses or another useful speci fication. Respondents identified 23 kinds of important targets in HK and 2 4 in OV with the following main priorities: shopping (37 and 24%\, resp.)\ , doctor (19 and 22%)\, family (10 and 13%)\, walking (8 and 6%)\, and fri ends (5 and 4%). An additional problem is that 5% of free-text destination s had multiple targets.\nThe web mobility mapping requested specification of favourite locations for one or more targets in the 13 categories\, the residence and the “other” target (specified by free text). Respondents identified 16 kinds of important targets in HK and 12 in OV with the foll owing priorities: retail (15 and 12%\, respectively)\, supermarket (12 bot h)\, pharmacy (12 and 10%)\, post office (11 and 10%). Such a flat distrib ution is caused by the respondents’ tendency to mark only one target per category.\nThe accuracy of location is variable. While the web mapping ap plication instantly provides coordinates for each location\, the targets f rom questionnaires require geocoding. In our case\, geocoding was successf ul only for 65% of records. Among these\, 18% were geocoded by utilizing t he complete address\, 53% were geocoded by finding the nearest matching de stination\, 24% were geocoded manually with interpretation\, and 5% were g eocoded but only to the center of the street\nFurther\, the spatial distri butions of targets were compared. The clustering of both indicated targets and all targets available in OpenStreetMap is confirmed by the M-function in both variants (questionnaire and web mapping). The analysis of distanc es from a residence to an indicated real target shows more clustering for questionnaire targets around a residence than for those from web mobility mapping. However\, the selection of closer destinations in the questionnai re is influenced by the age bias of respondents and by the limited number of requested targets (up to four).\nThe study contributes to the discussio n on the validity of participative mapping and sheds a light on the import ance of carefully preparing such surveys and pre-processing data comprehen sively. DTSTAMP:20261008T162711Z LOCATION:Omicum SUMMARY:Benefits and pitfalls of emotional and mobility web mapping - Nikol a Koktavá URL:https://talks.staging.osgeo.org/foss4g-europe-2024-academic-track/talk/ 33VEW9/ END:VEVENT END:VCALENDAR