[{"_id":"11283","article_number":"128230","publication":"  Urban forestry & urban greening","title":"Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities","isi":"1","author":[{"orcid":"0000-0002-8841-9345","first_name":"Marcel","full_name":"Cardinali, Marcel","last_name":"Cardinali","id":"58462"},{"first_name":"Mariëlle A.","last_name":"Beenackers","full_name":"Beenackers, Mariëlle A."},{"first_name":"Ghozlane","last_name":"Fleury-Bahi","full_name":"Fleury-Bahi, Ghozlane"},{"last_name":"Bodénan","full_name":"Bodénan, Philippe","first_name":"Philippe"},{"last_name":"Petrova","full_name":"Petrova, Milena Tasheva","first_name":"Milena Tasheva"},{"last_name":"van Timmeren","full_name":"van Timmeren, Arjan","first_name":"Arjan"},{"orcid":"0000-0002-8594-3168","first_name":"Uta","id":"27166","last_name":"Pottgiesser","full_name":"Pottgiesser, Uta"}],"intvolume":"        93","publication_identifier":{"eissn":["1610-8167"],"issn":["1618-8667"]},"place":"[Amsterdam] ","citation":{"havard":"M. Cardinali, M.A. Beenackers, G. Fleury-Bahi, P. Bodénan, M.T. Petrova, A. van Timmeren, U. Pottgiesser, Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities,   Urban Forestry &#38; Urban Greening. 93 (2024).","chicago-de":"Cardinali, Marcel, Mariëlle A. Beenackers, Ghozlane Fleury-Bahi, Philippe Bodénan, Milena Tasheva Petrova, Arjan van Timmeren und Uta Pottgiesser. 2024. Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. <i>  Urban forestry &#38; urban greening</i> 93. doi:<a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">10.1016/j.ufug.2024.128230</a>, .","ufg":"<b>Cardinali, Marcel u. a.</b>: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities, in: <i>  Urban forestry &#38; urban greening</i> 93 (2024).","mla":"Cardinali, Marcel, et al. “Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities.” <i>  Urban Forestry &#38; Urban Greening</i>, vol. 93, 128230, 2024, <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">https://doi.org/10.1016/j.ufug.2024.128230</a>.","apa":"Cardinali, M., Beenackers, M. A., Fleury-Bahi, G., Bodénan, P., Petrova, M. T., van Timmeren, A., &#38; Pottgiesser, U. (2024). Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. <i>  Urban Forestry &#38; Urban Greening</i>, <i>93</i>, Article 128230. <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">https://doi.org/10.1016/j.ufug.2024.128230</a>","short":"M. Cardinali, M.A. Beenackers, G. Fleury-Bahi, P. Bodénan, M.T. Petrova, A. van Timmeren, U. Pottgiesser,   Urban Forestry &#38; Urban Greening 93 (2024).","van":"Cardinali M, Beenackers MA, Fleury-Bahi G, Bodénan P, Petrova MT, van Timmeren A, et al. Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities.   Urban forestry &#38; urban greening. 2024;93.","ama":"Cardinali M, Beenackers MA, Fleury-Bahi G, et al. Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. <i>  Urban forestry &#38; urban greening</i>. 2024;93. doi:<a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">10.1016/j.ufug.2024.128230</a>","ieee":"M. Cardinali <i>et al.</i>, “Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities,” <i>  Urban forestry &#38; urban greening</i>, vol. 93, Art. no. 128230, 2024, doi: <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">10.1016/j.ufug.2024.128230</a>.","chicago":"Cardinali, Marcel, Mariëlle A. Beenackers, Ghozlane Fleury-Bahi, Philippe Bodénan, Milena Tasheva Petrova, Arjan van Timmeren, and Uta Pottgiesser. “Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities.” <i>  Urban Forestry &#38; Urban Greening</i> 93 (2024). <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">https://doi.org/10.1016/j.ufug.2024.128230</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cardinali, Marcel</span> ; <span style=\"font-variant:small-caps;\">Beenackers, Mariëlle A.</span> ; <span style=\"font-variant:small-caps;\">Fleury-Bahi, Ghozlane</span> ; <span style=\"font-variant:small-caps;\">Bodénan, Philippe</span> ; <span style=\"font-variant:small-caps;\">Petrova, Milena Tasheva</span> ; <span style=\"font-variant:small-caps;\">van Timmeren, Arjan</span> ; <span style=\"font-variant:small-caps;\">Pottgiesser, Uta</span>: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. In: <i>  Urban forestry &#38; urban greening</i> Bd. 93. [Amsterdam] , Elsevier BV (2024)","bjps":"<b>Cardinali M <i>et al.</i></b> (2024) Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities. <i>  Urban forestry &#38; urban greening</i> <b>93</b>."},"language":[{"iso":"eng"}],"date_created":"2024-03-24T11:20:11Z","publication_status":"published","volume":93,"keyword":["Soil Science","Ecology","Forestry","Green space","Mediation","Social cohesion","Well-being","Structural equation modelling"],"abstract":[{"lang":"eng","text":"Introduction: In recent decades, there has been a rise in mental illnesses. Community infrastructures are increasingly acknowledged as important for sustaining good mental health. Moreover, green spaces are anticipated to offer advantages for both mental health and social cohesion. However, the mediating pathway between green space, social cohesion and mental health and especially the proximity and characteristics of green spaces that trigger these potential effects remain of interest. Methods: We gathered data from 1365 individuals on self-reported social cohesion and mental health across four satellite districts in European cities: Nantes (France), Porto (Portugal), Sofia (Bulgaria), and Hoje-Taastrup (Denmark). Green space data from OpenStreetMap was manually adjusted using the PRIGSHARE guidelines. We used the AID-PRIGSHARE tool to generate 7 indicators about green space characteristics measured in distances from 100-1500 m, every 100 m. This resulted in 105 different green space variables that we tested in a single mediation model with structural equation modelling. Results: Accessible greenness (900-1400 m), accessible green spaces (900-1500 m), accessible green space corridors (300-800 m), accessible total green space (300-800), and mix of green space uses (700-1100 m) were significantly associated with social cohesion and indirectly with mental health. Green corridors also showed negative indirect and direct associations with mental health in larger distances. Surrounding greenness and the quantity of green space uses were not associated with social cohesion nor indirectly with mental health. We also observed no positive direct associations between any green space variable in any distance to mental health. Conclusions: Our results suggest that accessibility, connectivity, mix of use and proximity are key characteristics that drive the relationship between green spaces, social cohesion and mental health. This gives further guidance to urban planners and decision-makers on how to design urban green spaces to foster social cohesion and improve mental health."}],"user_id":"83781","year":"2024","department":[{"_id":"DEP1000"},{"_id":"DEP1055"}],"status":"public","date_updated":"2025-06-25T12:43:06Z","doi":"10.1016/j.ufug.2024.128230","external_id":{"isi":["001181173100001"]},"type":"scientific_journal_article","publisher":"Elsevier BV"},{"_id":"12830","article_number":"103300","publication":"  Health & place : an international journal ; a social science & medicine publication","title":"Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities","publication_identifier":{"issn":["1353-8292"],"eissn":["1873-2054"]},"author":[{"orcid":"0000-0002-8841-9345","id":"58462","last_name":"Cardinali","full_name":"Cardinali, Marcel","first_name":"Marcel"},{"last_name":"Beenackers","full_name":"Beenackers, Mariëlle A.","first_name":"Mariëlle A."},{"full_name":"Timmeren, Arjan van","last_name":"Timmeren","first_name":"Arjan van"},{"orcid":"0000-0002-8594-3168","full_name":"Pottgiesser, Uta","id":"27166","last_name":"Pottgiesser","first_name":"Uta"}],"intvolume":"        89","isi":"1","publication_status":"published","pmid":"1","volume":89,"language":[{"iso":"eng"}],"date_created":"2025-04-22T14:21:00Z","citation":{"bjps":"<b>Cardinali M <i>et al.</i></b> (2024) Urban Green Spaces, Self-Rated Air Pollution and Health: A Sensitivity Analysis of Green Space Characteristics and Proximity in Four European Cities. <i>  Health &#38; place : an international journal ; a social science &#38; medicine publication</i> <b>89</b>.","short":"M. Cardinali, M.A. Beenackers, A. van Timmeren, U. Pottgiesser,   Health &#38; Place : An International Journal ; a Social Science &#38; Medicine Publication 89 (2024).","apa":"Cardinali, M., Beenackers, M. A., Timmeren, A. van, &#38; Pottgiesser, U. (2024). Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. <i>  Health &#38; Place : An International Journal ; a Social Science &#38; Medicine Publication</i>, <i>89</i>, Article 103300. <a href=\"https://doi.org/10.1016/j.healthplace.2024.103300\">https://doi.org/10.1016/j.healthplace.2024.103300</a>","mla":"Cardinali, Marcel, et al. “Urban Green Spaces, Self-Rated Air Pollution and Health: A Sensitivity Analysis of Green Space Characteristics and Proximity in Four European Cities.” <i>  Health &#38; Place : An International Journal ; a Social Science &#38; Medicine Publication</i>, vol. 89, 103300, 2024, <a href=\"https://doi.org/10.1016/j.healthplace.2024.103300\">https://doi.org/10.1016/j.healthplace.2024.103300</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cardinali, Marcel</span> ; <span style=\"font-variant:small-caps;\">Beenackers, Mariëlle A.</span> ; <span style=\"font-variant:small-caps;\">Timmeren, Arjan van</span> ; <span style=\"font-variant:small-caps;\">Pottgiesser, Uta</span>: Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. In: <i>  Health &#38; place : an international journal ; a social science &#38; medicine publication</i> Bd. 89. Amsterdam [u.a.], Elsevier BV (2024)","ufg":"<b>Cardinali, Marcel u. a.</b>: Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities, in: <i>  Health &#38; place : an international journal ; a social science &#38; medicine publication</i> 89 (2024).","chicago-de":"Cardinali, Marcel, Mariëlle A. Beenackers, Arjan van Timmeren und Uta Pottgiesser. 2024. Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. <i>  Health &#38; place : an international journal ; a social science &#38; medicine publication</i> 89. doi:<a href=\"https://doi.org/10.1016/j.healthplace.2024.103300\">10.1016/j.healthplace.2024.103300</a>, .","chicago":"Cardinali, Marcel, Mariëlle A. Beenackers, Arjan van Timmeren, and Uta Pottgiesser. “Urban Green Spaces, Self-Rated Air Pollution and Health: A Sensitivity Analysis of Green Space Characteristics and Proximity in Four European Cities.” <i>  Health &#38; Place : An International Journal ; a Social Science &#38; Medicine Publication</i> 89 (2024). <a href=\"https://doi.org/10.1016/j.healthplace.2024.103300\">https://doi.org/10.1016/j.healthplace.2024.103300</a>.","havard":"M. Cardinali, M.A. Beenackers, A. van Timmeren, U. Pottgiesser, Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities,   Health &#38; Place : An International Journal ; a Social Science &#38; Medicine Publication. 89 (2024).","ieee":"M. Cardinali, M. A. Beenackers, A. van Timmeren, and U. Pottgiesser, “Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities,” <i>  Health &#38; place : an international journal ; a social science &#38; medicine publication</i>, vol. 89, Art. no. 103300, 2024, doi: <a href=\"https://doi.org/10.1016/j.healthplace.2024.103300\">10.1016/j.healthplace.2024.103300</a>.","ama":"Cardinali M, Beenackers MA, Timmeren A van, Pottgiesser U. Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. <i>  Health &#38; place : an international journal ; a social science &#38; medicine publication</i>. 2024;89. doi:<a href=\"https://doi.org/10.1016/j.healthplace.2024.103300\">10.1016/j.healthplace.2024.103300</a>","van":"Cardinali M, Beenackers MA, Timmeren A van, Pottgiesser U. Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities.   Health &#38; place : an international journal ; a social science &#38; medicine publication. 2024;89."},"place":"Amsterdam [u.a.]","keyword":["Greenspace","Mitigation","Air quality","Public health","Structural equation modelling"],"abstract":[{"lang":"eng","text":"Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and H & oslash;je-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health."}],"department":[{"_id":"DEP1055"},{"_id":"DEP1620"}],"year":"2024","user_id":"83781","status":"public","external_id":{"isi":["001260448200001"],"pmid":["38924920"]},"doi":"10.1016/j.healthplace.2024.103300","date_updated":"2025-06-26T08:48:00Z","type":"scientific_journal_article","publisher":"Elsevier BV"},{"publication":"Journal of Hydrology","article_number":"128729","_id":"12221","language":[{"iso":"eng"}],"date_created":"2024-12-08T19:49:42Z","volume":615,"publication_status":"published","place":"Amsterdam","citation":{"ufg":"<b>La Fuente, Sofia u. a.</b>: Multi-model projections of future evaporation in a sub-tropical lake, in: <i>Journal of Hydrology</i> 615 (2022).","chicago-de":"La Fuente, Sofia, Eleanor Jennings, Gideon Gal, Georgiy Kirillin, Tom Shatwell, Robert Ladwig, Tadhg Moore, u. a. 2022. Multi-model projections of future evaporation in a sub-tropical lake. <i>Journal of Hydrology</i> 615. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2022.128729\">10.1016/j.jhydrol.2022.128729</a>, .","short":"S. La Fuente, E. Jennings, G. Gal, G. Kirillin, T. Shatwell, R. Ladwig, T. Moore, R.-M. Couture, M. Côté, C. Love Råman Vinnå, R. Iestyn Woolway, Journal of Hydrology 615 (2022).","mla":"La Fuente, Sofia, et al. “Multi-Model Projections of Future Evaporation in a Sub-Tropical Lake.” <i>Journal of Hydrology</i>, vol. 615, 128729, 2022, <a href=\"https://doi.org/10.1016/j.jhydrol.2022.128729\">https://doi.org/10.1016/j.jhydrol.2022.128729</a>.","apa":"La Fuente, S., Jennings, E., Gal, G., Kirillin, G., Shatwell, T., Ladwig, R., Moore, T., Couture, R.-M., Côté, M., Love Råman Vinnå, C., &#38; Iestyn Woolway, R. (2022). Multi-model projections of future evaporation in a sub-tropical lake. <i>Journal of Hydrology</i>, <i>615</i>, Article 128729. <a href=\"https://doi.org/10.1016/j.jhydrol.2022.128729\">https://doi.org/10.1016/j.jhydrol.2022.128729</a>","havard":"S. La Fuente, E. Jennings, G. Gal, G. Kirillin, T. Shatwell, R. Ladwig, T. Moore, R.-M. Couture, M. Côté, C. Love Råman Vinnå, R. Iestyn Woolway, Multi-model projections of future evaporation in a sub-tropical lake, Journal of Hydrology. 615 (2022).","chicago":"La Fuente, Sofia, Eleanor Jennings, Gideon Gal, Georgiy Kirillin, Tom Shatwell, Robert Ladwig, Tadhg Moore, et al. “Multi-Model Projections of Future Evaporation in a Sub-Tropical Lake.” <i>Journal of Hydrology</i> 615 (2022). <a href=\"https://doi.org/10.1016/j.jhydrol.2022.128729\">https://doi.org/10.1016/j.jhydrol.2022.128729</a>.","bjps":"<b>La Fuente S <i>et al.</i></b> (2022) Multi-Model Projections of Future Evaporation in a Sub-Tropical Lake. <i>Journal of Hydrology</i> <b>615</b>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">La Fuente, Sofia</span> ; <span style=\"font-variant:small-caps;\">Jennings, Eleanor</span> ; <span style=\"font-variant:small-caps;\">Gal, Gideon</span> ; <span style=\"font-variant:small-caps;\">Kirillin, Georgiy</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span> ; <span style=\"font-variant:small-caps;\">Ladwig, Robert</span> ; <span style=\"font-variant:small-caps;\">Moore, Tadhg</span> ; <span style=\"font-variant:small-caps;\">Couture, Raoul-Marie</span> ; u. a.</span>: Multi-model projections of future evaporation in a sub-tropical lake. In: <i>Journal of Hydrology</i> Bd. 615. Amsterdam, Elsevier BV (2022)","ama":"La Fuente S, Jennings E, Gal G, et al. Multi-model projections of future evaporation in a sub-tropical lake. <i>Journal of Hydrology</i>. 2022;615. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2022.128729\">10.1016/j.jhydrol.2022.128729</a>","van":"La Fuente S, Jennings E, Gal G, Kirillin G, Shatwell T, Ladwig R, et al. Multi-model projections of future evaporation in a sub-tropical lake. Journal of Hydrology. 2022;615.","ieee":"S. La Fuente <i>et al.</i>, “Multi-model projections of future evaporation in a sub-tropical lake,” <i>Journal of Hydrology</i>, vol. 615, Art. no. 128729, 2022, doi: <a href=\"https://doi.org/10.1016/j.jhydrol.2022.128729\">10.1016/j.jhydrol.2022.128729</a>."},"publication_identifier":{"issn":["0022-1694"],"eissn":["1879-2707"]},"intvolume":"       615","author":[{"last_name":"La Fuente","full_name":"La Fuente, Sofia","first_name":"Sofia"},{"last_name":"Jennings","full_name":"Jennings, Eleanor","first_name":"Eleanor"},{"first_name":"Gideon","full_name":"Gal, Gideon","last_name":"Gal"},{"first_name":"Georgiy","full_name":"Kirillin, Georgiy","last_name":"Kirillin"},{"first_name":"Tom","full_name":"Shatwell, Tom","id":"86424","last_name":"Shatwell","orcid":"0000-0002-4520-7916"},{"full_name":"Ladwig, Robert","last_name":"Ladwig","first_name":"Robert"},{"first_name":"Tadhg","last_name":"Moore","full_name":"Moore, Tadhg"},{"last_name":"Couture","full_name":"Couture, Raoul-Marie","first_name":"Raoul-Marie"},{"first_name":"Marianne","last_name":"Côté","full_name":"Côté, Marianne"},{"full_name":"Love Råman Vinnå, C.","last_name":"Love Råman Vinnå","first_name":"C."},{"full_name":"Iestyn Woolway, R.","last_name":"Iestyn Woolway","first_name":"R."}],"title":"Multi-model projections of future evaporation in a sub-tropical lake","status":"public","department":[{"_id":"DEP8022"}],"year":"2022","user_id":"83781","abstract":[{"lang":"eng","text":"Lake evaporation plays an important role in the water budget of lakes. Predicting lake evaporation responses to climate change is thus of paramount importance for the planning of mitigation and adaption strategies. However, most studies that have simulated climate change impacts on lake evaporation have typically utilised a single mechanistic model. Whilst such studies have merit, projected changes in lake evaporation from any single lake model can be considered uncertain. To better understand evaporation responses to climate change, a multi-model approach (i.e., where a range of projections are considered), is desirable. In this study, we present such multi-model analysis, where five lake models forced by four different climate model projections are used to simulate historic and future change (1901–2099) in lake evaporation. Our investigation, which focuses on sub-tropical Lake Kinneret (Israel), suggested considerable differences in simulated evaporation rates among the models, with the annual average evaporation rates varying between 1232 mm year−1 and 2608 mm year−1 during the historic period (1901–2005). We explored these differences by comparing the models with reference evaporation rates estimated using in-situ data (2000–2005) and a bulk aerodynamic algorithm. We found that the model ensemble generally captured the intra-annual variability in reference evaporation rates, and compared well at seasonal timescales (RMSEc = 0.19, R = 0.92). Using the model ensemble, we then projected future change in evaporation rates under three different Representative Concentration Pathway (RCP) scenarios: RCP 2.6, 6.0 and 8.5. Our projections indicated that, by the end of the 21st century (2070–2099), annual average evaporation rates would increase in Lake Kinneret by 9–22 % under RCPs 2.6–8.5. When compared with projected regional declines in precipitation, our projections suggested that the water balance of Lake Kinneret could experience a deficit of 14–40 % this century. We anticipate this substantial projected deficit combined with a considerable growth in population expected for this region could have considerable negative impacts on water availability and would consequently increase regional water stress."}],"keyword":["Ensemble modelling","Lake evaporation","Climate change","Lake Kinneret"],"extern":"1","publisher":"Elsevier BV","type":"scientific_journal_article","quality_controlled":"1","doi":"10.1016/j.jhydrol.2022.128729","date_updated":"2024-12-11T13:18:16Z"},{"type":"book_chapter","publisher":"CORP - Competence Center of Urban and Regional Planning","editor":[{"full_name":"Schrenk, Manfred","last_name":"Schrenk","first_name":"Manfred"},{"first_name":"Vasily V.","full_name":"Popovich, Vasily V.","last_name":"Popovich"},{"first_name":"Peter","last_name":"Zeile","full_name":"Zeile, Peter"},{"first_name":"Pietro","last_name":"Elisei","full_name":"Elisei, Pietro"},{"first_name":"Clemens","full_name":"Beyer, Clemens","last_name":"Beyer"},{"full_name":"Ryser, Judith","last_name":"Ryser","first_name":"Judith"},{"first_name":"Gernot","last_name":"Stöglehner","full_name":"Stöglehner, Gernot"}],"related_material":{"link":[{"relation":"original","url":"https://www.corp.at/archive/CORP2021_49.pdf"}]},"date_updated":"2024-12-04T12:57:10Z","doi":"10.48494/REALCORP2021.1049","quality_controlled":"1","year":"2021","user_id":"83781","department":[{"_id":"DEP1055"},{"_id":"DEP1028"}],"corporate_editor":["CORP – Competence Center of Urban and Regional Planning"],"status":"public","keyword":["mart Cities","Agent-based modelling","KI/AI","Participation","Tangible Data"],"abstract":[{"lang":"eng","text":"AI is on the rise. Powerful cloud platforms and networked software components can perform increasingly complex data evaluations and simulations. Recent research and development projects1  show how great the potential of artificial intelligence is for urban planning. However, despite the impressive, technical possibilities, it currently remains unclear how planning stakeholders and the affected population can be meaningfully involved in the intelligent processes of the \"black box\". The authors are of the opinion that sustainable urban development planning not only requires acceptance of the spatial planning result, as has been the case up to now, but also requires acceptance of the increasingly digitally supported planning process. For this reason, it must also be possible for laypersons to understand the digital analysis and evaluation processes and to comprehend their relevance and spatial interactions. Consequently, simulations must not only run in the computers of the respective planning or engineering offices, but require a simple, haptic analog translation that can also be used in participation processes as already shown in the CityScope projects2.  \r\nFor this project, the big revitalization project of Deutzer Hafen in Cologne to a future district with more than 9.500 daily users is used as a case study in building a decision support system for urban planning. It is composed of three parts: an agent-based model, a tangible user interface and a synthetic population. The project enables users to get in touch with an agent-based model (ABM) without any knowledge in coding or even interacting with computers. It connects physical objects to digital information. Based on the theories of Castiglione et.al.3 , Gehl4 , Shannon5  and Jacobs6  this project shows how to use an artificial and analog simulation model to measure the urban vitality of the public spaces in the district, based on the activity and travelling patterns of the population. This is done by testing different scenarios in which we change interactive parameters of the model: the use of the buildings and the demographics of the population. We can then determine which scenarios benefit the most life in the public spaces of the district, by finding areas of interest or problematic ones.  "}],"conference":{"end_date":"2021-10-10","start_date":"2021-10-07","name":"REAL CORP - International Conference on Urban Planning and Regional Development in the Information Society ","location":"Wien"},"author":[{"full_name":"Barbosa Jardim, Amanda","id":"76917","last_name":"Barbosa Jardim","first_name":"Amanda"},{"full_name":"Müh, Maximilian","last_name":"Müh","id":"74260","first_name":"Maximilian"},{"orcid":"0009-0001-8565-8199","last_name":"Häusler","id":"61520","full_name":"Häusler, Axel","first_name":"Axel"},{"first_name":"Andrea","last_name":"Kondziela","id":"81431","full_name":"Kondziela, Andrea"}],"publication_identifier":{"isbn":["978-3-9504945-0-1"]},"place":"Wien","citation":{"bjps":"<b>Barbosa Jardim A <i>et al.</i></b> (2021) Synthetic and Tangible Agents for an Activity-Based Urban Planning Tool. In Schrenk M et al. 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Schäfer, Die Entwicklung und Modellierung eines Characters in 3ds Max, Hochschule Ostwestfalen-Lippe, Lemgo, 2015.","mla":"Schäfer, Kristina. <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Hochschule Ostwestfalen-Lippe, 2015.","apa":"Schäfer, K. (2015). <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","ufg":"<b>Schäfer, Kristina (2015)</b>: Die Entwicklung und Modellierung eines Characters in 3ds Max, Lemgo.","chicago-de":"Schäfer, Kristina. 2015. <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","havard":"K. Schäfer, Die Entwicklung und Modellierung eines Characters in 3ds Max, Hochschule Ostwestfalen-Lippe, Lemgo, 2015.","bjps":"<b>Schäfer K</b> (2015) <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Schäfer, Kristina</span>: <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo : Hochschule Ostwestfalen-Lippe, 2015","chicago":"Schäfer, Kristina. <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2015.","ieee":"K. Schäfer, <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2015.","ama":"Schäfer K. <i>Die Entwicklung und Modellierung eines Characters in 3ds Max</i>. Lemgo: Hochschule Ostwestfalen-Lippe; 2015.","van":"Schäfer K. Die Entwicklung und Modellierung eines Characters in 3ds Max. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. 162 p."},"has_accepted_license":"1","title":"Die Entwicklung und Modellierung eines Characters in 3ds Max"},{"publisher":"Hochschule Ostwestfalen-Lippe","editor":[{"last_name":"Padoano","full_name":"Padoano, Elio","first_name":"Elio"},{"id":"14290","last_name":"Villmer","full_name":"Villmer, Franz-Josef","first_name":"Franz-Josef"}],"type":"conference","date_updated":"2024-03-22T13:12:47Z","issue":"1","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf","relation":"contains"}]},"status":"public","user_id":"83781","year":"2015","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"abstract":[{"text":"This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure.\r\nThe data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures.\r\n","lang":"eng"}],"page":"163-174","conference":{"location":"Trieste, Italy","end_date":"2015-10-02","start_date":"2015-10-01","name":"5th International Conference \"Production Engineering and Management\" "},"keyword":["Data mining","production failure","multi-variant analysis","multivariate process control","predictive modelling","case study"],"place":"Lemgo","citation":{"chicago":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential Detector to Find Failure in Complex Components.” In <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>, edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 163–74. Lemgo: Hochschule Ostwestfalen-Lippe, 2015.","bjps":"<b>Scheideler E and Ahlemeyer-Stubbe A</b> (2015) Data Mining: A Potential Detector to Find Failure in Complex Components. In Padoano E et al. (eds), <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>. Lemgo: Hochschule Ostwestfalen-Lippe, pp. 163–174.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Ahlemeyer-Stubbe, Andrea</span>: Data Mining: A Potential Detector to Find Failure in Complex Components. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> ; <span style=\"font-variant:small-caps;\">Hochschule Ostwestfalen-Lippe</span> (Hrsg.): <i>Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i>. Lemgo : Hochschule Ostwestfalen-Lippe, 2015, S. 163–174","van":"Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. p. 163–74.","ama":"Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>. Hochschule Ostwestfalen-Lippe; 2015:163-174.","ieee":"E. Scheideler and A. Ahlemeyer-Stubbe, “Data Mining: A Potential Detector to Find Failure in Complex Components,” in <i>Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i>, Trieste, Italy, 2015, no. 1, pp. 163–174.","ufg":"<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea</b>: Data Mining: A Potential Detector to Find Failure in Complex Components, in: <i>Padoano, Elio u. a. 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Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015, pp. 163–174.","mla":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential Detector to Find Failure in Complex Components.” <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>, edited by Elio Padoano et al., no. 1, Hochschule Ostwestfalen-Lippe, 2015, pp. 163–74.","apa":"Scheideler, E., &#38; Ahlemeyer-Stubbe, A. (2015). Data Mining: A Potential Detector to Find Failure in Complex Components. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, &#38; Hochschule Ostwestfalen-Lippe (Eds.), <i>Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i> (Issue 1, pp. 163–174). Hochschule Ostwestfalen-Lippe.","havard":"E. Scheideler, A. Ahlemeyer-Stubbe, Data Mining: A Potential Detector to Find Failure in Complex Components, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015: pp. 163–174."},"language":[{"iso":"eng"}],"date_created":"2019-02-19T07:15:57Z","publication_status":"published","author":[{"last_name":"Scheideler","id":"61522","full_name":"Scheideler, Eva","first_name":"Eva"},{"last_name":"Ahlemeyer-Stubbe","full_name":"Ahlemeyer-Stubbe, Andrea","first_name":"Andrea"}],"publication_identifier":{"isbn":["978-3-941645-11-0"]},"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf","open_access":"1"}],"title":"Data Mining: A Potential Detector to Find Failure in Complex Components","publication":"Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy","_id":"597","oa":"1"}]