![\"23p05](\"https:\/\/www.trt.it\/wp-content\/uploads\/2023\/10\/23p05-TE-urban-mobility-clean-cities-1024x174.jpg\")
<\/h4>\n<\/h4>\nThis study modelled European cities\u2019 pathways to zero-emission urban mobility by 2030 through the development of potential transition scenarios. Each scenario is built on different set of sustainable policy measures, whose impacts is quantified through a series of indicators as output results.<\/p>\n
In addition, multi-criteria cost effectiveness analysis estimated costs and benefits associated to the four transition scenarios. Such analysis was based on four components: (implementation and maintenance) costs of the policy measures, environmental benefits, users\u2019 transport costs and travel time, and revenues for the public administration and service providers.<\/p>\n <\/p>\n For more information:<\/p>\n Modelling European cities\u2019 pathways to zero-emission urban mobility by 2030 through the development of potential transition scenarios This study modelled European cities\u2019 pathways to zero-emission urban mobility by 2030 through the development of potential transition scenarios. Each scenario is built on different set of sustainable policy measures, whose impacts is quantified through a series of indicators as output results. The assessment is realized through MOMOS a quantitative tool which allows to simulate and quantify in a simplified way the impacts of potential mobility transition scenarios in cities. Four potential scenarios, each one with a different focus and a specific combination of policy measures, have been simulated and applied to five real European cities: Brussels, Madrid, Milan, Greater Manchester, and Warsaw. An in-depth data collection defined and reproduced the city characteristics at the base year, including socio-demographic aspects as well as mobility features. The main output of the study consisted in the calculation of the CO2 emissions reduction associated to each scenario. Besides that, a series of core indicators have also been calculated for the 2030 horizon. These included: modal split, public and private fleet electrification, car ownership, road safety, and air pollutants emissions. In addition, multi-criteria cost effectiveness analysis estimated costs and benefits associated to the four transition scenarios. Such analysis was based on four components: (implementation and maintenance) costs of the policy measures, environmental benefits, users\u2019 transport costs and travel time, and revenues for the public administration and service providers. For more information: Clean cities website on the (E)Mission zero study, including technical reports and factsheet results. Briefing of the (E)Mission zero study Interactive tool to explore results of the (E)Mission zero study<\/p>\n","protected":false},"author":4,"featured_media":10278,"menu_order":60,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":true},"portfolio-types":[236,243,250,258],"class_list":["post-11765","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-types-momos-en","portfolio-types-projects","portfolio-types-studies","portfolio-types-urban-mobility"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/portfolio\/11765","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/portfolio"}],"about":[{"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/types\/portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/comments?post=11765"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/media\/10278"}],"wp:attachment":[{"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/media?parent=11765"}],"wp:term":[{"taxonomy":"portfolio-types","embeddable":true,"href":"https:\/\/www.trt.it\/en\/wp-json\/wp\/v2\/portfolio-types?post=11765"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"T&E](\"https:\/\/www.trt.it\/wp-content\/uploads\/2023\/10\/TE-modelling-cities-d.jpg\")
The assessment is realized through MOMOS<\/strong><\/a> a quantitative tool which allows to simulate and quantify in a simplified way the impacts of potential mobility transition scenarios in cities.<\/p>\n![\"clean](\"https:\/\/www.trt.it\/wp-content\/uploads\/2023\/10\/clean-cities.png\")
Four potential scenarios, each one with a different focus and a specific combination of policy measures, have been simulated and applied to five real European cities: Brussels, Madrid, Milan, Greater Manchester, and Warsaw. An in-depth data collection defined and reproduced the city characteristics at the base year, including socio-demographic aspects as well as mobility features.
\nThe main output of the study consisted in the calculation of the CO2 emissions reduction associated to each scenario. Besides that, a series of core indicators have also been calculated for the 2030 horizon. These included: modal split, public and private fleet electrification, car ownership, road safety, and air pollutants emissions.<\/p>\n\n
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