{"id":1204,"date":"2023-01-26T14:00:46","date_gmt":"2023-01-26T14:00:46","guid":{"rendered":"http:\/\/sprouttoolbox.nuacampus.org\/?page_id=1204"},"modified":"2023-05-26T11:01:12","modified_gmt":"2023-05-26T11:01:12","slug":"data-space","status":"publish","type":"page","link":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/data-space\/","title":{"rendered":"Data Space"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text]<span data-contrast=\"none\">This urban mobility shared data space is designed for both passenger and freight transport as a blueprint for harmonising an ecosystem-based mechanism to provide urban mobility data. <\/span><span data-contrast=\"none\">It collects and sorts quantitative and qualitative (raw) data relevant to the Sprout tools. Some of the data are used to calculate relevant indicators, which are used by one of the Sprout tools. By applying these tools, the user will receive crucial knowledge for their decision-making processes to guide mobility transitions sustainably. In collecting data for different but similar purposes, the data space provides urban mobility data harmoniously. During the Sprout project lifetime, it has already been populated with data from the Sprout 1st and 2nd layer cities.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The data space collects data for the following Sprout tools (see Figure 1 below):<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<ul>\n<li>Urban mobility transition inventory<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Cost-based assessment<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Innovation readiness assessment<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Liveability assessment<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Action tracker<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:714,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;335559991&quot;:357}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_single_image image=&#8221;1256&#8243; img_size=&#8221;full&#8221; add_caption=&#8221;yes&#8221; alignment=&#8221;center&#8221; onclick=&#8221;link_image&#8221;]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce6924 {padding-top: 10px;}}@media (max-width:991px){.empty_space69dc132ce6924 {padding-top: 10;}}@media (max-width:600px){.empty_space69dc132ce6924 {padding-top: 10;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce6924 \" data-uid=\"empty_space69dc132ce6924\" ><\/div><style type=\"text\/css\">.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-tab .vc_tta-title-text{font-size: 15px;font-family:;font-weight:600;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-tab .vc_tta-icon{font-size: 14px !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta .vc_tta-tab a{padding: 8px 25px !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tabs-container:before,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_active.vc_tta-tab:after,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_tta-panels-container {border-color: #ccc !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-1 .vc_tta-tab.vc_active,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab.vc_active,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-4 .vc_tta-tab.vc_active,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_tta-tab.vc_active,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab.vc_active,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-1 .vc_tta-tab:hover,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab:hover,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-4 .vc_tta-tab:hover,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_tta-tab:hover,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab:hover,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-panel.vc_active .vc_tta-panel-title {background: #ffffff;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-tab.vc_active a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab.vc_active a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab.vc_active a, .tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-tab:hover a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab:hover a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab:hover a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block  .vc_tta-panel.vc_active .vc_tta-panel-title{color: #00c89a !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-tab,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-panel .vc_tta-panel-title{background: #e4e4e4;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .vc_tta-tab a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab a,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block  .vc_tta-panel .vc_tta-panel-title{color: #777777 !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-1 .vc_tta-tab.vc_active{border-top:1px solid #ff214f !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab.vc_active,tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_tta-tab.vc_active {border:1px solid #ff214f !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-1 .vc_tta-tab:hover{border-top:1px solid #ff214f !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab:hover,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_tta-tab:hover {border:1px solid #ff214f !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-2 .vc_tta-tab.vc_active a:after {border-bottom-color: #ff214f !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-1 .vc_tta-tab{border-top: 1px solid #777 !important;}.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-3 .vc_tta-tab,.tstp_tabs69dc132ce6fee.pt_plus_tabs_block .style-5 .vc_tta-tab{border: 1px solid #777 !important;}<\/style><div class=\"pt_plus_tabs_block tabs_full_justify tstp_tabs69dc132ce6fee\" id=\"tabid_69dc132ce6dd6\" data-uid=\"tstp_tabs69dc132ce6fee\"  ><div class=\"vc_tta-container\" data-vc-action=\"collapse\"><div class=\"vc_general vc_tta vc_tta-tabs vc_tta-o-shape-group vc_tta-tabs-position-top vc_tta-controls-align-center style-4\"><div class=\"vc_tta-tabs-container\"><ul class=\"vc_tta-tabs-list\"><\/ul><\/div><div class=\"vc_tta-panels-container\" ><div class=\"vc_tta-panels\">[vc_tta_section title=&#8221;Urban Mobility<br \/>\nTransition Inventory&#8221; tab_id=&#8221;1674738247913-2741eb05-9d2b&#8221;][vc_column_text]<span data-contrast=\"none\">This inventory can be used as a common framework for cities to collect and integrate data in order to construct a comprehensive overview of their respective current and future mobility status, and to understand as well as to anticipate the urban mobility transition.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span>[\/vc_column_text]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce6ed2 {padding-top: 15px;}}@media (max-width:991px){.empty_space69dc132ce6ed2 {padding-top: 10;}}@media (max-width:600px){.empty_space69dc132ce6ed2 {padding-top: 10;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce6ed2 \" data-uid=\"empty_space69dc132ce6ed2\" ><\/div>[vc_btn title=&#8221;Download the excel sheet&#8221; color=&#8221;vista-blue&#8221; align=&#8221;center&#8221; link=&#8221;url:http%3A%2F%2Fsprouttoolbox.nuacampus.org%2Fwp-content%2Fuploads%2F2023%2F01%2FKPI_SPROUT.xlsx&#8221;][\/vc_tta_section][vc_tta_section title=&#8221;Cost Based<br \/>\nAssessment&#8221; tab_id=&#8221;1674739539752-154715b7-5525&#8243;][vc_column_text]<span data-contrast=\"none\">The main outcome of this analysis is the calculation of the costs generated to each cities\u2019 sustainability area (economy, environment, community and the mobility) by a chosen set of policy responses and to compare those with do-nothing scenarios.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span>[\/vc_column_text]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce6f07 {padding-top: 10px;}}@media (max-width:991px){.empty_space69dc132ce6f07 {padding-top: 10;}}@media (max-width:600px){.empty_space69dc132ce6f07 {padding-top: 10;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce6f07 \" data-uid=\"empty_space69dc132ce6f07\" ><\/div>[vc_btn title=&#8221;Download the excel sheet&#8221; color=&#8221;vista-blue&#8221; align=&#8221;center&#8221; link=&#8221;url:http%3A%2F%2Fsprouttoolbox.nuacampus.org%2Fwp-content%2Fuploads%2F2023%2F01%2FCostBased.xlsx&#8221;][\/vc_tta_section][vc_tta_section title=&#8221;Innovation Readiness<br \/>\nAssessment&#8221; tab_id=&#8221;1674738247921-d574d16c-27eb&#8221;][vc_column_text]<span data-contrast=\"none\">SPROUT developed a self-assessment\u202fto evaluate a city\u2019s\u202fcapability and readiness to enable and to deploy\u202fmobility innovations. The assessment explores the innovation readiness\u202fby looking beyond the mobility system, inter alia analysing the degree of inter-departmental coordination, the\u202fprocurement processes for innovative solutions, planning practices and stakeholder involvement, public investments, cooperation with academia and private actors, the collection and use of data, or the level of intelligent transport services and infrastructure, or the availability of skilled personnel.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span>[\/vc_column_text]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce6f31 {padding-top: 10px;}}@media (max-width:991px){.empty_space69dc132ce6f31 {padding-top: 10;}}@media (max-width:600px){.empty_space69dc132ce6f31 {padding-top: 10;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce6f31 \" data-uid=\"empty_space69dc132ce6f31\" ><\/div>[vc_btn title=&#8221;Download the excel sheet&#8221; color=&#8221;vista-blue&#8221; align=&#8221;center&#8221; link=&#8221;url:http%3A%2F%2Fsprouttoolbox.nuacampus.org%2Fwp-content%2Fuploads%2F2023%2F01%2FInnovReadiness.xlsx&#8221;][\/vc_tta_section][vc_tta_section title=&#8221;Liveability<br \/>\nAssessment&#8221; tab_id=&#8221;1674738303538-3fb4d93e-03c8&#8243;][vc_column_text]<span data-contrast=\"none\">The Liveability self-assessment identifies strengths and weaknesses that relate to a city\u2019s mobility system.\u202fIt uses greenhouse gas emissions, air pollutants, trip lenghts, costs of mobility options, the availability of shared mobility offers, the number of accidents, the availabiltiy of infrastructures, or modal shares of public transport.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span>[\/vc_column_text]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce6f57 {padding-top: 10px;}}@media (max-width:991px){.empty_space69dc132ce6f57 {padding-top: 10;}}@media (max-width:600px){.empty_space69dc132ce6f57 {padding-top: 10;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce6f57 \" data-uid=\"empty_space69dc132ce6f57\" ><\/div>[vc_btn title=&#8221;Download the excel sheet&#8221; color=&#8221;vista-blue&#8221; align=&#8221;center&#8221; link=&#8221;url:http%3A%2F%2Fsprouttoolbox.nuacampus.org%2Fwp-content%2Fuploads%2F2023%2F01%2FLiveability.xlsx&#8221;][\/vc_tta_section][vc_tta_section title=&#8221;Action<br \/>\nTracker&#8221; tab_id=&#8221;1674738318162-6a677f77-3583&#8243;][vc_column_text]The Sprout action tracker derives relevant and feasible indicators to assess cities\u2019 progress towards the achievement of specific policy goals and towards an innovative and sustainable mobility system.[\/vc_column_text]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce6f86 {padding-top: 10px;}}@media (max-width:991px){.empty_space69dc132ce6f86 {padding-top: 10;}}@media (max-width:600px){.empty_space69dc132ce6f86 {padding-top: 10;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce6f86 \" data-uid=\"empty_space69dc132ce6f86\" ><\/div>[vc_btn title=&#8221;Download the excel sheet&#8221; color=&#8221;vista-blue&#8221; align=&#8221;center&#8221; link=&#8221;url:http%3A%2F%2Fsprouttoolbox.nuacampus.org%2Fwp-content%2Fuploads%2F2023%2F01%2FTracker_data.xlsx&#8221;][\/vc_tta_section]<\/div><\/div><\/div><\/div><\/div><div class=\"heading heading_style heading_style69dc132ce711a    style-2\"><div class=\"sub-style\" ><div class=\"head-title text-left\" > <h4 class=\"heading-title text-left \"  style=\"color: #0150ad;font-family:;font-weight:600;\"  data-hover=\"Sprout tools and their connection with SUMI\">Sprout tools and their connection with SUMI<\/h4><\/div><\/div><\/div>[vc_column_text]Sprout tools use data that partly overlaps with SUMI data (Sustainable Urban Mobility Indicators). In order to have a complete approach, the data space collects all SUMI data. The SUMI is a useful tool for cities and urban areas to identify the strengths and weaknesses of their mobility system and to focus on areas for improvement. By collecting data for SUMI, European cities will increasingly harmonise data collection efforts.<\/p>\n<p>The concept of SUMI has been promoted by the European Commission. As cities and urban areas continue to develop Sustainable Urban Mobility Plans (SUMPs) and work towards EU policy goals, it is important for this progress to be documented to ensure that such achievements become visible. More information on the SUMI concept can be found <a href=\"https:\/\/transport.ec.europa.eu\/transport-themes\/clean-transport-urban-transport\/sumi_en\">here<\/a>.<\/p>\n<p>The following Sprout cities have provided SUMI data:<\/p>\n<ul>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_Almada.xlsx\">Almada\/Portugal<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_Arad.xlsx\">Arad\/Romania<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_Budapest_0210.xlsx\">Budapest\/Hungary<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_Gothenburg.xlsx\">Gothenburg\/Sweden<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_Ioannina.xlsx\">Ioannina\/Greece<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_sHertogenbosch.xlsx\">\u2019s Hertogenbosch\/Netherlands<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_TelAviv.xlsx\">Tel Aviv\/Israel<\/a><\/li>\n<li><a href=\"https:\/\/sprouttoolbox.nuacampus.org\/wp-content\/uploads\/2023\/02\/Sprout_SUMI_data_West-Midlands.xlsx\">West Midlands (Birmingham)\/United Kingdom<\/a><\/li>\n<\/ul>\n<p>[\/vc_column_text]<style type=\"text\/css\">@media (min-width:992px){.empty_space69dc132ce714e {padding-top: 22px;}}@media (max-width:991px){.empty_space69dc132ce714e {padding-top: 15px;}}@media (max-width:600px){.empty_space69dc132ce714e {padding-top: 10px;}}<\/style><div class=\"pt-plus-empty-space empty_space69dc132ce714e \" data-uid=\"empty_space69dc132ce714e\" ><\/div><div class=\"heading heading_style heading_style69dc132ce7196    style-2\"><div class=\"sub-style\" ><div class=\"head-title text-left\" > <h4 class=\"heading-title text-left \"  style=\"color: #0150ad;font-family:;font-weight:600;\"  data-hover=\"Minimum set of data\">Minimum set of data<\/h4><\/div><\/div><\/div>[vc_column_text]The data space contains a minimum set of data needed to drive urban mobility policy making in general, and make informed decisions about the implementation of innovative urban mobility solutions in particular, customised to the data capabilities of both rich- and poor data environments, as represented by the variety of the project cities. The two main criteria to define a minimum set of data are<\/p>\n<ul>\n<li>availability and<\/li>\n<li>relevance<\/li>\n<\/ul>\n<p>In terms of <strong>availability<\/strong>, the Sprout project cycle has revealed a mixed picture. Many cities do have a lot of quantified data available, thanks to their data collection tools, monitoring efforts and cooperation with private actors. However, many cities are only starting with systematic data collection.<\/p>\n<p>Sprout has therefore developed an approach of data collection, which mainly relies on data from self-assessment surveys. This allows cities to apply the Sprout tools even in data-poor environments. The <u>innovation readiness<\/u> assessment, the <u>liveability<\/u> assessment and the <u>action tracker<\/u> manage to mainly rely on such self-assessments, as illustrated in Figure 1. However, some components of the liveability self-assessment and the action tracker are enriched with input data from external sources and thus go beyond a pure self-assessment.<\/p>\n<p>The <u>cost-based<\/u> assessment relies on a combination of local and national statistics. Again, limited data access is of minor importance, as the cost-based analysis essentially requires one main variable: the total distance covered of passengers or freight per mode in the respective city (measured in vehicle kilometres in both cases). This variable has to be found for the current state and for each policy scenario, be it a do-nothing scenario or the Sprout policy response.<\/p>\n<p>In terms of <strong>relevance<\/strong>, the most important added value of the Sprout tools is their ability to assess the innovation readiness of a city, and to assess the impact of the Sprout policy response. Therefore, the a) <u>self-assessment on innovation readiness<\/u> and b) <u>the cost-based assessment<\/u> are crucial. As these two tools also rely on available data (as explained above), they can therefore be defined as minimum set of data.<\/p>\n<p>As explained above, the liveability assessment and the action tracker partly rely on external data sources. City administrations are encouraged to collect as many data as necessary. Many such data should be available in-house. However, they can apply both tools by exclusively relying on self-assessments. Validity will be strengthened with an increasing amount of data.<\/p>\n<p>[\/vc_column_text][vc_column_text]<\/p>\n<h4><\/h4>\n<h5><strong>Minimum set of data: 3-tiered approach<\/strong><\/h5>\n<div class=\"wpdt-c row wpDataTableContainerSimpleTable wpDataTables wpDataTablesWrapper\n\"\n    >\n        <table id=\"wpdtSimpleTable-12\"\n           style=\"border-collapse:collapse;\n                   border-spacing:0px;\"\n           class=\"wpdtSimpleTable wpDataTable\"\n           data-column=\"3\"\n           data-rows=\"3\"\n           data-wpID=\"12\"\n           data-responsive=\"0\"\n           data-has-header=\"1\">\n\n                    <thead>        <tr class=\"wpdt-cell-row \" >\n                                <th class=\"wpdt-cell wpdt-bc-0150AD wpdt-tc-FFFFFF wpdt-bold wpdt-fs-000014 wpdt-valign-middle wpdt-align-left wpdt-ff-000004\"\n                                            data-cell-id=\"A1\"\n                    data-col-index=\"0\"\n                    data-row-index=\"0\"\n                    style=\" width:30.442978322337%;                    padding:10px;\n                    \"\n                    >\n                                        Minimum set of data, crucial and  available                    <\/th>\n                                                <th class=\"wpdt-cell wpdt-bc-0150AD wpdt-tc-FFFFFF wpdt-bold wpdt-fs-000014 wpdt-valign-middle wpdt-align-left wpdt-ff-000004\"\n                                            data-cell-id=\"B1\"\n                    data-col-index=\"1\"\n                    data-row-index=\"0\"\n                    style=\" width:31.1027332705%;                    padding:10px;\n                    \"\n                    >\n                                        Additional data, generally available  because of self-assessment                    <\/th>\n                                                <th class=\"wpdt-cell wpdt-bc-0150AD wpdt-tc-FFFFFF wpdt-bold wpdt-fs-000014 wpdt-valign-middle wpdt-align-left wpdt-ff-000004\"\n                                            data-cell-id=\"C1\"\n                    data-col-index=\"2\"\n                    data-row-index=\"0\"\n                    style=\" width:38.454288407163%;                    padding:10px;\n                    \"\n                    >\n                                        Additional data, available with effort                    <\/th>\n                                        <\/tr>\n                    <tbody>        <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-align-left wpdt-ff-000000 wpdt-fs-000014\"\n                                            data-cell-id=\"A2\"\n                    data-col-index=\"0\"\n                    data-row-index=\"1\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Questions from innovation readiness  assessment                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-ff-000000 wpdt-fs-000014\"\n                                            data-cell-id=\"B2\"\n                    data-col-index=\"1\"\n                    data-row-index=\"1\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        23 from 46 questions of the liveability  assessment                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-ff-000000 wpdt-fs-000014\"\n                                            data-cell-id=\"C2\"\n                    data-col-index=\"2\"\n                    data-row-index=\"1\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        23 from 46 questions of the liveability  assessment                    <\/td>\n                                        <\/tr>\n                            <tr class=\"wpdt-cell-row \" >\n                                <td class=\"wpdt-cell wpdt-align-left wpdt-ff-000000 wpdt-fs-000014\"\n                                            data-cell-id=\"A3\"\n                    data-col-index=\"0\"\n                    data-row-index=\"2\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        Data from cost-based assessment                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-ff-000000 wpdt-fs-000014\"\n                                            data-cell-id=\"B3\"\n                    data-col-index=\"1\"\n                    data-row-index=\"2\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        8\/37 questions of the action tracker                    <\/td>\n                                                <td class=\"wpdt-cell wpdt-align-left wpdt-ff-000000 wpdt-fs-000014\"\n                                            data-cell-id=\"C3\"\n                    data-col-index=\"2\"\n                    data-row-index=\"2\"\n                    style=\"                    padding:10px;\n                    \"\n                    >\n                                        28\/37 questions of the action tracker                    <\/td>\n                                        <\/tr>\n                    <\/table>\n<\/div><style id='wpdt-custom-style-12'>\n.wpdt-bc-0150AD { background-color: #0150AD !important;}\n.wpdt-tc-FFFFFF { color: #FFFFFF !important;}\n.wpdt-fs-000014 { font-size: 14px !important;}\n.wpdt-ff-000004 { font-family: Arial, Helvetica, sans-serif !important;}\n.wpdt-ff-000000 { font-family: inherit !important;}\n<\/style>\n[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text]This urban mobility shared data space is designed for both passenger and freight transport as a blueprint for harmonising an ecosystem-based mechanism to provide urban mobility<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1204","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/pages\/1204","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/comments?post=1204"}],"version-history":[{"count":48,"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/pages\/1204\/revisions"}],"predecessor-version":[{"id":1392,"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/pages\/1204\/revisions\/1392"}],"wp:attachment":[{"href":"https:\/\/sprouttoolbox.nuacampus.org\/index.php\/wp-json\/wp\/v2\/media?parent=1204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}