{"id":2455052,"date":"2024-08-21T11:15:10","date_gmt":"2024-08-21T18:15:10","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2455052"},"modified":"2025-09-02T16:02:23","modified_gmt":"2025-09-02T23:02:23","slug":"huff-model-uc2024","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024","title":{"rendered":"Use the Huff model to affirm site selection in Business Analyst Pro"},"author":78361,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37171,28211],"tags":[774872,771172],"industry":[],"product":[36711,36561],"class_list":["post-2455052","blog","type-blog","status-publish","format-standard","hentry","category-business","category-health","tag-esri-user-conference-2024","tag-huff-model","product-bus-analyst","product-arcgis-pro"],"acf":{"authors":[{"ID":10262,"user_firstname":"Darren","user_lastname":"Cook","nickname":"Darren Cook","user_nicename":"dcook","display_name":"Darren Cook","user_email":"dcook@esri.com","user_url":"","user_registered":"2019-12-03 15:51:19","user_description":"Darren is a Product Engineer on the Business Analyst team. He enjoys the collaborative process of creating features that enable Business Analyst customers to model their vision of success.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/c4b9a5418b3c6305c22f9ff753722d05b47893990d57a019f9a9f841ab2a5f7e?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/c4b9a5418b3c6305c22f9ff753722d05b47893990d57a019f9a9f841ab2a5f7e?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"},{"ID":78361,"user_firstname":"Gemma","user_lastname":"Goodale-Sussen","nickname":"Gemma Goodale-Sussen","user_nicename":"ggoodalesussen","display_name":"Gemma Goodale-Sussen","user_email":"ggoodalesussen@esri.com","user_url":"","user_registered":"2020-08-06 15:49:58","user_description":"Gemma is a writer at Esri, focusing on content for the ArcGIS Business Analyst team.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/20180531_171833_2-e1596730690224-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Did you catch the Huff model demo at UC 2024? Read on for step-by-step instructions on the workflow.","flexible_content":[{"acf_fc_layout":"content","content":"<p>ArcGIS Business Analyst includes many tools to assist in decision-making, especially when it comes to choosing a location for a business or service facility. You might use Business Analyst Web App to perform a smart map search or suitability analysis that will identify the top locations for your enterprise, and even rank them to pick the best one.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2456072,"id":2456072,"title":"Image1_2","filename":"Image1_2.png","filesize":205179,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image1_2","alt":"Suitability analysis showing final ranked sites","author":"78361","description":"","caption":"","name":"image1_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-09 21:31:24","modified":"2024-08-09 21:31:38","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1485,"height":810,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","medium-width":464,"medium-height":253,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","medium_large-width":768,"medium_large-height":419,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","large-width":1485,"large-height":810,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","1536x1536-width":1485,"1536x1536-height":810,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","2048x2048-width":1485,"2048x2048-height":810,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2-826x451.png","card_image-width":826,"card_image-height":451,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image1_2.png","wide_image-width":1485,"wide_image-height":810}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>But how do you go from \u201chere\u2019s my best guess based on local demographics\u201d to modeling sales potential of the new location and gauging its impact on existing locations? How can you land on a solid confirmation of your choice, supported by business data?<\/p>\n"},{"acf_fc_layout":"sidebar","content":"<p>See suitability analysis in action by reading <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/urgent-care-center-suitability-analysis\/\" target=\"_blank\" rel=\"noopener\">Identify the best location for an urgent care center<\/a>.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"<p>One approach is to bring your analysis into Business Analyst Pro and use the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/huff-model-overview.htm\" target=\"_blank\" rel=\"noopener\">Huff model<\/a> to project demand and potential sales of your new location. This model allows you to attach specific, data-driven probability to a candidate location and present real-world statistics to stakeholders. The model creates probability rates that indicate the likelihood that consumers will choose this new location over the other existing locations. These rates are created for all areas of the market, defined by the extent of the Sales Potential features parameter in the tool.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2465702,"id":2465702,"title":"Image2_2","filename":"Image2_2.png","filesize":193769,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image2_2-2","alt":"Huff model results","author":"78361","description":"","caption":"","name":"image2_2-2","status":"inherit","uploaded_to":2455052,"date":"2024-08-21 15:06:26","modified":"2024-08-21 15:06:37","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":602,"height":285,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","medium-width":464,"medium-height":220,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","medium_large-width":602,"medium_large-height":285,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","large-width":602,"large-height":285,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","1536x1536-width":602,"1536x1536-height":285,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","2048x2048-width":602,"2048x2048-height":285,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","card_image-width":602,"card_image-height":285,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image2_2.png","wide_image-width":602,"wide_image-height":285}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<h2>Huff model demo at UC 2024<\/h2>\n<p>If you attended or livestreamed Business Analyst sessions at this year\u2019s User Conference, you likely encountered the Huff model in the \u201cArcGIS Business Analyst: An Overview\u201d demonstration. The session walked through the process of siting an urgent care center in Fresno County, California. Below, you can follow along with the demo using step-by-step instructions.<\/p>\n"},{"acf_fc_layout":"sidebar","content":"<p>Huff model demo at UC 2024 followed these steps:<\/p>\n<ol>\n<li><a href=\"#setupdata\">Obtain or set up quantitative data of interest, such as sales.<\/a><\/li>\n<li><a href=\"#enrichareas\">Define your areas of interest, such as Block Groups in Fresno County, and enrich them using the quantitative data.<\/a><\/li>\n<li><a href=\"#addlocations\">Add candidate location and existing locations.<\/a><\/li>\n<li><a href=\"#setupmodel\">Set up and run the Huff model using distance and attractiveness.<\/a><\/li>\n<li><a href=\"#interpretresults\">Interpret the results.<\/a><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"<h3 id=\"setupdata\">Set up sales data<\/h3>\n<p>The goal of a Huff model analysis is to learn the probability that people in your region will visit your location, based on how far the new facility is from them as well as how attractive the facility is (more on attractiveness later). At the end, you\u2019ll have percentages that indicate the likelihood of customers visiting. However, you\u2019ll also be able to extrapolate other useful information from this probability. That information can be anything quantitative: potential revenue, number of visits, etc. In Huff model parlance, this is the \u201cSales Potential Field.\u201d As long as you have that numeric data, you can use the Huff model results to estimate it.<\/p>\n<p>In the demo, we used a custom variable we\u2019d prepared beforehand\u2014total urgent care revenue for all the block groups in Fresno. That way, when we calculated the percentage of customers that would visit a new urgent care location, we could also extrapolate to understand how much revenue the customers would bring to the new facility.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2465712,"id":2465712,"title":"Image3_2","filename":"Image3_2.png","filesize":25844,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image3_2-2","alt":"Data browser showing custom data","author":"78361","description":"","caption":"","name":"image3_2-2","status":"inherit","uploaded_to":2455052,"date":"2024-08-21 15:06:49","modified":"2024-08-21 15:07:05","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":335,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","medium-width":464,"medium-height":259,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","medium_large-width":600,"medium_large-height":335,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","large-width":600,"large-height":335,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","1536x1536-width":600,"1536x1536-height":335,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","2048x2048-width":600,"2048x2048-height":335,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","card_image-width":600,"card_image-height":335,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image3_2.png","wide_image-width":600,"wide_image-height":335}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"sidebar","content":"<p>Don\u2019t be fooled by the name! \u201cTrade areas\u201d in Business Analyst Pro refer to any geographic polygon, including rings, drive times, and geographic boundaries.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"<h3 id=\"enrichareas\">Enrich areas of interest<\/h3>\n<p>With our sales potential variable in hand, we\u2019re now ready to sketch in the contours of our area of interest, Fresno County. What is the urgent care revenue in each block group of the county? Let\u2019s add it to the map by mapping the block groups and enriching them with the variable. For this, we\u2019ll use the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/generate-standard-geography-distance-or-time-based-trade-areas.htm#ESRI_SECTION1_2FB8315DAF9C4252A2427CA152410175\" target=\"_blank\" rel=\"noopener\">Generate Standards Geography Trade Areas<\/a> geoprocessing tool.<\/p>\n"},{"acf_fc_layout":"content","content":"<p>Open the tool from the Trade Areas toolset (or simply search the name), then choose <strong>Block Groups<\/strong> as the geography level. Under <strong>Geography IDs List<\/strong>, click the folder to browse all block groups in the U.S. (Make your way along the following folder path: US by BlockGroups &gt; California &gt; Fresno County, then select all. You\u2019ll have 637 block groups.)<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2464872,"id":2464872,"title":"Image4_2","filename":"Image4_2.png","filesize":96222,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image4_2","alt":"Selecting all block groups in Fresno County, California","author":"78361","description":"","caption":"","name":"image4_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-20 22:42:48","modified":"2024-08-20 22:43:09","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":393,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","medium-width":398,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","medium_large-width":600,"medium_large-height":393,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","large-width":600,"large-height":393,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","1536x1536-width":600,"1536x1536-height":393,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","2048x2048-width":600,"2048x2048-height":393,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","card_image-width":600,"card_image-height":393,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image4_2.png","wide_image-width":600,"wide_image-height":393}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Name the layer something logical, like FresnoBGs. Now we\u2019ll open the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/enrich-layer.htm\" target=\"_blank\" rel=\"noopener\">Enrich Layer<\/a> tool and use it to append the urgent care revenue variable to these block groups. Once you\u2019ve opened the tool, set the input features to your FresnoBGs layer and click the <strong>Add<\/strong> button next to <strong>Variables<\/strong>.<\/p>\n<p>In the data browser, navigate to the variable you want to use for sales potential or whatever numeric attribute you\u2019re interested in, such as customer visits.<\/p>\n"},{"acf_fc_layout":"sidebar","content":"<p><strong>Tip:<\/strong> You don&#8217;t have to have custom data in hand to make use of the Huff model. Business Analyst data spans a plethora of useful collections. Other (non-custom) variables you could use in this scenario:<\/p>\n<ul>\n<li>A variable from the Psychographics data collection indicating high preference for visiting urgent cares over doctors<\/li>\n<li>A variable measuring total healthcare expenditures<\/li>\n<li>A variable measuring expenditures on physician care specifically<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Also, keep in mind that the tool output applies the probability rate to one specific variable\u2014but you can use this rate outside of Huff model and apply it to any data (within reason, of course).<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"<p>When you click <strong>Run<\/strong>, a layer that looks very similar to your block group layer is created\u2014but open the attribute table and you\u2019ll find that each block group now also includes the sales potential variable as well.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2465722,"id":2465722,"title":"Image5_2","filename":"Image5_2.png","filesize":264068,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image5_2","alt":"Enriched layer and attribute table showing urgent care revenue variable","author":"78361","description":"","caption":"","name":"image5_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-21 15:07:59","modified":"2024-08-21 15:08:33","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":399,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","medium_large-width":600,"medium_large-height":399,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","large-width":600,"large-height":399,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","1536x1536-width":600,"1536x1536-height":399,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","2048x2048-width":600,"2048x2048-height":399,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","card_image-width":600,"card_image-height":399,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image5_2.png","wide_image-width":600,"wide_image-height":399}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<h3 id=\"addlocations\">Add locations<\/h3>\n<p>Now we need to map the locations for the analysis, which means both the candidate location we\u2019re assessing and the existing locations we\u2019re comparing it to. In the urgent care demo, this meant bringing in the top candidate site we\u2019d found in the exploratory suitability analysis we\u2019d done in Business Analyst Web App, accomplished using the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/add-business-analyst-web-app-sites.htm\" target=\"_blank\" rel=\"noopener\">Add sites from Business Analyst Web App<\/a> workflow.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2465762,"id":2465762,"title":"Image6_3","filename":"Image6_3.png","filesize":32919,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image6_3","alt":"Workflow button in Business Analysis gallery","author":"78361","description":"","caption":"","name":"image6_3","status":"inherit","uploaded_to":2455052,"date":"2024-08-21 15:09:55","modified":"2024-08-21 15:10:10","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":597,"height":172,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3-213x172.png","thumbnail-width":213,"thumbnail-height":172,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","medium-width":464,"medium-height":134,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","medium_large-width":597,"medium_large-height":172,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","large-width":597,"large-height":172,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","1536x1536-width":597,"1536x1536-height":172,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","2048x2048-width":597,"2048x2048-height":172,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","card_image-width":597,"card_image-height":172,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image6_3.png","wide_image-width":597,"wide_image-height":172}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Then, to map all the urgent care centers in Fresno County, we performed a <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/business-and-facilities-search.htm\">points of interest search<\/a> using the keyword \u201cUrgent Care.\u201d<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2465742,"id":2465742,"title":"Image7_2","filename":"Image7_2.png","filesize":737660,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image7_2","alt":"Map showing candidate sites and POI search results","author":"78361","description":"","caption":"","name":"image7_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-21 15:08:52","modified":"2024-08-21 15:09:10","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1281,"height":855,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","medium-width":391,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","medium_large-width":768,"medium_large-height":513,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","large-width":1281,"large-height":855,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","1536x1536-width":1281,"1536x1536-height":855,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","2048x2048-width":1281,"2048x2048-height":855,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2-697x465.png","card_image-width":697,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image7_2.png","wide_image-width":1281,"wide_image-height":855}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<h3 id=\"setupmodel\">Set up Huff model<\/h3>\n<p>Now for the main event! We\u2019ve put everything on the map, so we just need to tell the Huff model which information goes where. There are many fields in the Huff model pane, but don\u2019t worry, we\u2019ll walk through it together.<\/p>\n<p>First: <strong>Input Facility Features<\/strong> and <strong>Input Candidate Features<\/strong>. Yep, you guessed it, those correspond to the existing facilities we mapped using points of interest search, and the candidate location we added from the web app. We\u2019ll pick ID fields for each of them as well:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2464892,"id":2464892,"title":"Image8_2","filename":"Image8_2.png","filesize":32637,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image8_2","alt":"Locations added to the model","author":"78361","description":"","caption":"","name":"image8_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-20 22:44:29","modified":"2024-08-20 22:44:41","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":428,"height":289,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","medium-width":387,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","medium_large-width":428,"medium_large-height":289,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","large-width":428,"large-height":289,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","1536x1536-width":428,"1536x1536-height":289,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","2048x2048-width":428,"2048x2048-height":289,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","card_image-width":428,"card_image-height":289,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image8_2.png","wide_image-width":428,"wide_image-height":289}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Next we\u2019ll deal with the variable we\u2019re using to define the sales potential. Remember, this can be any numeric variable you have determined is a good estimate for measuring the location\u2019s success. (It\u2019s called \u201csales potential\u201d here because sales figures are so frequently used to estimate success.) In the demo, we\u2019ve used the custom urgent care revenue variable.<\/p>\n<p>For <strong>Input Sales Potential Features<\/strong>, we selected the features with that variable attached\u2014aka the enriched block group layer. We picked an ID field for it as well. Then we identify <strong>Sales Potential Field<\/strong> as that urgent care revenue variable within the enriched layer:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2464902,"id":2464902,"title":"Image9_2","filename":"Image9_2.png","filesize":20305,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image9_2","alt":"Sales potential parameters in the model","author":"78361","description":"","caption":"","name":"image9_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-20 22:45:15","modified":"2024-08-20 22:45:36","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":426,"height":146,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2-213x146.png","thumbnail-width":213,"thumbnail-height":146,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","medium-width":426,"medium-height":146,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","medium_large-width":426,"medium_large-height":146,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","large-width":426,"large-height":146,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","1536x1536-width":426,"1536x1536-height":146,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","2048x2048-width":426,"2048x2048-height":146,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","card_image-width":426,"card_image-height":146,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image9_2.png","wide_image-width":426,"wide_image-height":146}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"sidebar","content":"<p>This interplay, between larger distance (decreases desire to venture to a location) and greater attractiveness (increases desire to venture to a location), is what the Huff model was made to address. To learn the specifics, read <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/business-analyst\/understanding-huff-model.htm\" target=\"_blank\" rel=\"noopener\">How Huff model works<\/a>.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"<p>Now we get to the special sauce ingredients that make the Huff model unique: attractiveness and distance! You&#8217;ll select an attractiveness variable that exists in both the existing locations&#8217; and candidate site&#8217;s attribute tables. This variable is used to compare the candidate location to all others.<\/p>\n"},{"acf_fc_layout":"content","content":"<p>An attractiveness exponent value is also set. This value indicates the importance of the attractiveness variable when comparing locations to find the best one to visit. Larger exponent values will increasingly amplify differences. A distance exponent is also set to further assist the model in comparing locations to visit. This value is negative by default, since greater distance results in a lower likelihood of visiting a location.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2464912,"id":2464912,"title":"Image10_2","filename":"Image10_2.png","filesize":21843,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image10_2-2","alt":"Attractiveness and distance parameters in the model","author":"78361","description":"","caption":"","name":"image10_2-2","status":"inherit","uploaded_to":2455052,"date":"2024-08-20 22:46:08","modified":"2024-08-20 22:46:28","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":428,"height":176,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2-213x176.png","thumbnail-width":213,"thumbnail-height":176,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","medium-width":428,"medium-height":176,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","medium_large-width":428,"medium_large-height":176,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","large-width":428,"large-height":176,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","1536x1536-width":428,"1536x1536-height":176,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","2048x2048-width":428,"2048x2048-height":176,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","card_image-width":428,"card_image-height":176,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image10_2.png","wide_image-width":428,"wide_image-height":176}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Similarly, we\u2019ll let the <strong>Distance Exponent<\/strong> value remain -1.5, also the default. The relationship between these two is instructive, and the reason for these default values: generally, distance\u2019s negative influence is a little more important than the positive influence of attractiveness.<\/p>\n<p>It\u2019s finally time: we click <strong>Run<\/strong>!<\/p>\n<p>&nbsp;<\/p>\n<h3 id=\"interpretresults\">Interpret the Huff model results<\/h3>\n<p>The tool creates a layer that symbolizes the probability that customers in each respective block group will visit the new urgent care location. At first glance, the results look sort of predictable: the block groups closest to the candidate location are the most likely to patronize it, at a rate of 55% likelihood.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2464922,"id":2464922,"title":"Image11_2","filename":"Image11_2.png","filesize":235614,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image11_2","alt":"Probability layer produced by Huff model","author":"78361","description":"","caption":"","name":"image11_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-20 22:46:59","modified":"2024-08-20 22:47:21","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":921,"height":569,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","medium-width":422,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","medium_large-width":768,"medium_large-height":474,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","large-width":921,"large-height":569,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","1536x1536-width":921,"1536x1536-height":569,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","2048x2048-width":921,"2048x2048-height":569,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2-753x465.png","card_image-width":753,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image11_2.png","wide_image-width":921,"wide_image-height":569}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>But a glance at the cluster of urgent care centers immediately to the north of the candidate location shows the impact of shorter distances. The rest of the map would indicate these block groups would be shaded in shades of dark and medium orange, but instead these fairly nearby block groups have a very low likelihood of patronizing the new facility.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2465772,"id":2465772,"title":"Image12_2","filename":"Image12_2.png","filesize":238389,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/health\/huff-model-uc2024\/image12_2","alt":"The influence of existing locations on the candidate location","author":"78361","description":"","caption":"","name":"image12_2","status":"inherit","uploaded_to":2455052,"date":"2024-08-21 15:10:53","modified":"2024-08-21 15:11:17","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":923,"height":571,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","medium-width":422,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","medium_large-width":768,"medium_large-height":475,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","large-width":923,"large-height":571,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","1536x1536-width":923,"1536x1536-height":571,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","2048x2048-width":923,"2048x2048-height":571,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2-752x465.png","card_image-width":752,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Image12_2.png","wide_image-width":923,"wide_image-height":571}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>At first glance, the results of the Huff model indicate that we are meeting our objective of relieving overcrowding of existing locations while avoiding cannibalization and also providing better access to the residents of the rural western side of the county.<\/p>\n"}],"related_articles":[{"ID":2021572,"post_author":"321952","post_date":"2023-07-18 10:10:55","post_date_gmt":"2023-07-18 17:10:55","post_content":"","post_title":"Analyze distance and attractiveness using Huff models in ArcGIS Business Analyst Pro","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"analyze-distance-and-attractiveness-using-huff-models-in-arcgis-business-analyst-pro","to_ping":"","pinged":"","post_modified":"2023-07-18 10:13:31","post_modified_gmt":"2023-07-18 17:13:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2021572","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2419072,"post_author":"290952","post_date":"2024-07-03 19:36:49","post_date_gmt":"2024-07-04 02:36:49","post_content":"","post_title":"ArcGIS Business Analyst at the 2024 Esri User Conference","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-business-analyst-at-the-2024-esri-user-conference","to_ping":"","pinged":"","post_modified":"2025-08-13 10:23:44","post_modified_gmt":"2025-08-13 17:23:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2419072","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2330152,"post_author":"341682","post_date":"2024-05-08 13:37:07","post_date_gmt":"2024-05-08 20:37:07","post_content":"","post_title":"What\u2019s new in ArcGIS Business Analyst Pro | May 2024","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-business-analyst-pro-may-2024","to_ping":"","pinged":"","post_modified":"2024-05-08 13:37:07","post_modified_gmt":"2024-05-08 20:37:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2330152","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Card1.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Banner1_2.png","show_article_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - 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