{"id":5183,"date":"2026-01-19T22:52:57","date_gmt":"2026-01-19T21:52:57","guid":{"rendered":"https:\/\/mobileworlds.online\/?page_id=5183"},"modified":"2026-01-19T23:06:12","modified_gmt":"2026-01-19T22:06:12","slug":"the-mobileworlds-spatial-analysis-toolkit","status":"publish","type":"page","link":"https:\/\/mobileworlds.online\/pt\/the-mobileworlds-spatial-analysis-toolkit\/","title":{"rendered":"The MobileWorlds Spatial Analysis Toolkit"},"content":{"rendered":"<p>The MobileWorlds Spatial Analysis Toolkit uses spatial analysis to make <strong>culturally situated values and mobility preferences<\/strong> visible. It supports <strong>diversity and inclusion<\/strong> by recognizing that what is perceived as desirable, comfortable, or meaningful mobility is not universal but <strong>embedded in everyday practices, histories, and social positions<\/strong>. It starts from empirical material (walk-along interviews, surveys, and workshops), translates abstract concepts into operationalized indicators and mappable proxies, and then uses guiding questions to compare a generic picture of culturally identifiable mobility conditions with designed user-profiles, weighted maps, and route choices that reflect different typologies of preference.<\/p>\r\n<h3 style=\"text-align: left;\">A. Objectives \/ Applicability<\/h3>\r\n<!-- \/wp:post-content -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\"><!-- wp:accordion-heading \/-->\r\n\r\n<!-- wp:accordion-panel -->\r\n<div class=\"wp-block-accordion-panel\" role=\"region\"><!-- wp:list -->\r\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\r\n<li>Use spatial analysis to identify, visualize, and interpret different values and cultures of mobility.<\/li>\r\n<li>Use findings from walk-along interviews, surveys, and workshops to propose concepts, and to translate them into spatial indicators.<\/li>\r\n<li>Teach a repeatable method: abstract concept \u2192 operationalized indicator \u2192 mappable proxy (e.g., \u201cquiet\u201d).<\/li>\r\n<li>Use this toolkit when you want to move beyond \u201cfastest route\u201d logic, and explore how people value and can find comfort, pleasure, and meaning in everyday mobility.<\/li>\r\n<!-- \/wp:list-item --><\/ul>\r\n<!-- \/wp:list --><\/div>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\"><!-- wp:accordion-heading -->\r\n<h3 class=\"wp-block-accordion-heading\">B. Key questions addressed<\/h3>\r\n<div class=\"wp-block-accordion-panel\" role=\"region\">\r\n<ul class=\"wp-block-list\">\r\n<li>What values and cultures of mobility appear in the empirical material, and how do they differ across groups?<\/li>\r\n<li>What does an abstract value like \u201cquiet\u201d mean to different people, and what spatial conditions might support it?<\/li>\r\n<li>How do results change when the same city is analyzed using different value weightings (user typologies)?<\/li>\r\n<li>What happens when route choice is understood as culturally situated and preference-based, rather than defined only by time efficiency?<\/li>\r\n<!-- \/wp:accordion-heading --><\/ul>\r\n<h3>C. Materials \/ Spatial conditions<\/h3>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion --><\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\">\r\n<div class=\"wp-block-accordion-panel\" role=\"region\"><!-- wp:list -->\r\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\r\n<li>Walk-along interview outputs (notes, transcripts, sketches\/drawings, photos).<\/li>\r\n<li>Survey results and workshop outputs (including lists of valued elements and weightings).<\/li>\r\n<li>OpenStreetMap (OSM) features and tags.<\/li>\r\n<li>A GIS environment (e.g., QGIS) and ORS Tools (OpenRouteService) for routing.<\/li>\r\n<li>A simple spreadsheet to track the chain from concept \u2192 indicators \u2192 OSM proxies \u2192 weights \u2192 assumptions\/limits.<\/li>\r\n<li>Ideally, plan time for a quick \u201creality check\u201d walk or workshop validation once first maps are produced. Potentially allow the maps to be updated as situations shift (e.g. a noisy or path-blocking construction site being installed or removed)<\/li>\r\n<!-- \/wp:list-item --><\/ul>\r\n<!-- \/wp:list --><\/div>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\"><!-- wp:accordion-heading -->\r\n<h3 class=\"wp-block-accordion-heading\"><span class=\"wp-block-accordion-heading__toggle-title\">D. Key steps<\/span><\/h3>\r\n<!-- \/wp:accordion-heading -->\r\n\r\n<!-- wp:accordion-panel -->\r\n<div class=\"wp-block-accordion-panel\" role=\"region\"><!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\"><!-- wp:accordion-heading -->\r\n<ul>\r\n<li>Start from the empirical material. Identify concepts that matter to participants (e.g., quiet, nature contact, views, social stop points, novelty).<\/li>\r\n<li>Clarify what each concept means. For each concept, write down at least 2\u20133 distinct interpretations (the same word often means different things to different groups).<\/li>\r\n<li>Operationalize into indicators. Translate each interpretation into something you can measure spatially.\r\n<ul>\r\n<li>Example: \u201cquiet\u201d may mean being away from high traffic and industrial noise, being close to green\/blue spaces, and being away from crowded areas.<\/li>\r\n<\/ul>\r\n<\/li>\r\n<li>Choose mappable proxies. Match each indicator to one or more OpenStreetMap features\/tags (and note what is not captured in OSM).<\/li>\r\n<li>Build user profiles (typologies). Define typologies as bundles of values with explicit personality and cultural values. These are not individuals.<\/li>\r\n<li>Create two outputs:\r\n<ul>\r\n<li>Map type 1: Multi-criteria spatial analysis. First produce a generic map of culturally identifiable and preferred mobility conditions, then produce profile-weighted versions.<\/li>\r\n<li>Map type 2: Routing comparison (ORS). For each profile, produce a fastest route and a value-adapted route (e.g., via caf\u00e9s, along quiet tree-lined lanes).<\/li>\r\n<\/ul>\r\n<\/li>\r\n<li>Interpret together. Compare where and why preferred areas and routes change across typologies, and what this implies for planning and everyday life.<\/li>\r\n<\/ul>\r\n<h3>E. Key actors to consider<\/h3>\r\n<\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion --><\/div>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item -->\r\n\r\n<!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\">\r\n<div class=\"wp-block-accordion-panel\" role=\"region\"><!-- wp:list -->\r\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\r\n<li>The research team (qualitative analysis, spatial analysis, and facilitation roles).<\/li>\r\n<li>Participants and workshop contributors (especially for validating interpretations and weights).<\/li>\r\n<li>Local planners and practitioners (if outputs are meant to inform design or interventions).<\/li>\r\n<li>Remember that OpenStreetMap itself is an actor: what is mapped and not mapped shapes what can be analysed.<\/li>\r\n<\/ul>\r\n<\/div>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item -->\r\n\r\n<!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\"><!-- wp:accordion-heading -->\r\n<h3 class=\"wp-block-accordion-heading\"><span class=\"wp-block-accordion-heading__toggle-title\">F. Key timings to consider<\/span><\/h3>\r\n<!-- \/wp:accordion-heading -->\r\n\r\n<!-- wp:accordion-panel -->\r\n<div class=\"wp-block-accordion-panel\" role=\"region\"><!-- wp:list -->\r\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\r\n<li>Plan time after fieldwork to extract concepts and agree a first indicator set.<\/li>\r\n<li>Plan time for iteration: indicator design often needs at least one revision once you see what the data can and cannot support.<\/li>\r\n<li>Plan time for data preparation and GIS processing.<\/li>\r\n<li>Plan time to run and compare ORS routes across profiles.<\/li>\r\n<li>Ideally, schedule a short validation moment (mini-workshop, walk, or feedback session) after the first map drafts.<\/li>\r\n<li>Ideally, create a link or other indication for users to be able to update the points of interest and\/or ORS routes<\/li>\r\n<!-- \/wp:list-item --><\/ul>\r\n<!-- \/wp:list --><\/div>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\"><!-- wp:accordion-heading -->\r\n<h3 class=\"wp-block-accordion-heading\"><span class=\"wp-block-accordion-heading__toggle-title\">G. Examples for inspiration<\/span><\/h3>\r\n<!-- \/wp:accordion-heading -->\r\n\r\n<!-- wp:accordion-panel -->\r\n<div class=\"wp-block-accordion-panel\" role=\"region\"><!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\">\r\n<ul>\r\n<li>A complete worked example: \u201cquiet\u201d \u2192 multiple indicators \u2192 chosen OSM proxies \u2192 multi-criteria map \u2192 route comparison.<\/li>\r\n<li>Two or three \u201croute pairs\u201d (fastest vs value-adapted) for contrasting profiles.<\/li>\r\n<li>A \u201cwhimsy route\u201d example that shows how small pull factors (views, caf\u00e9s, water, trees) change the journey experience.<\/li>\r\n<\/ul>\r\n<p><em>[more coming soon]<\/em><\/p>\r\n<h3>H. Tips &amp; Tricks<\/h3>\r\n<\/div>\r\n<!-- \/wp:accordion --><\/div>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\"><!-- wp:accordion-item -->\r\n<div class=\"wp-block-accordion-item\">\r\n<ul>\r\n<li>Remember that OSM features are <strong>proxies<\/strong>, not direct measurements. Always document assumptions and known gaps.<\/li>\r\n<li>Keep the translation chain visible (concept \u2192 indicator \u2192 proxy) so the analysis stays interpretable.<\/li>\r\n<li>Expect value conflicts (quiet vs lively, novelty vs predictability). Do not average them away too quickly; treat them as findings.<\/li>\r\n<li>Start with a small indicator set and expand only once the workflow is stable.<\/li>\r\n<li>Make sure you can explain each map result back in everyday language, using examples from the interviews and workshops.<\/li>\r\n<\/ul>\r\n<h3>F. Further reading \/ Resources<\/h3>\r\n<!-- \/wp:accordion-panel --><\/div>\r\n<!-- \/wp:accordion-item --><\/div>\r\n<!-- \/wp:accordion -->\r\n\r\n<!-- wp:accordion -->\r\n<div class=\"wp-block-accordion\" role=\"group\">\r\n<div class=\"wp-block-accordion-item\">\r\n<h3 class=\"wp-block-accordion-heading\"><!-- wp:list --><\/h3>\r\n<!-- \/wp:accordion-heading -->\r\n\r\n<!-- wp:accordion-panel -->\r\n<div class=\"wp-block-accordion-panel\" role=\"region\">\r\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\r\n<li>Craine, J., &amp; Aitken, S. C. (2019). Rethinking Maps, New Frontiers in Cartographic Theory. 167\u2013184. <a href=\"https:\/\/doi.org\/10.4324\/9780203876848-15\" rel=\"nofollow\">https:\/\/doi.org\/10.4324\/9780203876848-15<\/a><\/li>\r\n<li>Steger, A., Evans, E., &amp; Wee, B. (2021). Emotional cartography as a window into children\u2019s well-being: Visualizing the felt geographies of place. Emotion, Space and Society, 39, 100772. <a href=\"https:\/\/doi.org\/10.1016\/j.emospa.2021.100772\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.emospa.2021.100772<\/a><\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>The MobileWorlds Spatial Analysis Toolkit uses spatial analysis to make culturally situated values and mobility preferences visible. 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