{"id":520832,"date":"2022-06-28T19:59:11","date_gmt":"2022-06-29T02:59:11","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcnews&p=520832"},"modified":"2022-06-28T11:31:59","modified_gmt":"2022-06-28T18:31:59","slug":"street-sweepers-gis-help-north-las-vegas-determine-roadway-improvement-costs","status":"publish","type":"arcnews","link":"https:\/\/www.esri.com\/about\/newsroom\/arcnews\/street-sweepers-gis-help-north-las-vegas-determine-roadway-improvement-costs","title":{"rendered":"Street Sweepers, GIS Help North Las Vegas Determine Roadway Improvement Costs"},"author":5752,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[401,134052,1021],"tags":[163372,134592,161482,452361,161242],"arcnews_issues":[479682],"class_list":["post-520832","arcnews","type-arcnews","status-publish","format-standard","hentry","category-government","category-public-works","category-transportation","tag-arcgis-desktop","tag-field-data-collection","tag-maintenance","tag-modelbuilder","tag-roads","arcnews_issues-summer-2022","arcnews_sections-your-work"],"acf":{"short_description":"After inventorying its roads, the city built a network schema to show where pavement needed to be replaced and how much it would cost.","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"content","content":"For most cities, keeping paved roadways in good condition is the single largest maintenance function they perform. This includes sweeping streets; patching pavement; applying life-extending overlays to streets and highways; and road striping to ensure that drivers, pedestrians, and others know the rules of the road.\r\n\r\nHaving a complete inventory of public roadway surfaces and pavement conditions is the first big step any city needs to take when looking to understand what kinds of road-based maintenance and improvements to undertake. Knowing the number of paved lane miles and the condition of the paved roadway network is critical for determining future maintenance costs and prioritizing funding."},{"acf_fc_layout":"image","image":519232,"image_position":"right","orientation":"vertical","hyperlink":""},{"acf_fc_layout":"content","content":"Over the last several years, the City of North Las Vegas, Nevada, has used ArcGIS technology to map its entire 102-square-mile area and create the various infrastructure layers needed to develop a geodatabase of off-site improvement projects (i.e., construction projects to repair and enhance infrastructure used for public travel). The aim was to build a roadway network schema that the city could employ to determine where pavement replacement needed to occur and how much it would cost. Now, this data is being used for longer-term planning on other roadway projects throughout North Las Vegas."},{"acf_fc_layout":"content","content":"

Putting Hodgepodge Data into a Single GIS Layer<\/h2>\r\nAs in many cities in the United States, North Las Vegas consists of private roads and public streets and highways that are maintained by different authorities. Moreover, the city is continually growing. From 2015 to 2020, it added 20.6 centerline miles to its road network, increasing its roadway profile by 3 percent over that five-year period. Thus, conducting a roadway inventory and converting it into useful data wasn\u2019t a straightforward process and required frequent updates.\r\n\r\nThe inventory that the City of North Las Vegas carried out includes 640 centerline miles of public paved streets and 176 centerline miles of private paved roads. Since the city only maintains public roads, mapping and evaluating the public roadway network and associated road conditions in a single GIS layer was a major component of assembling the geodatabase.\r\n\r\nTo map the roadways, the city\u2019s GIS analysts relied on parcel and centerline data compiled and maintained by the county. Relevant parcel information was obtained from plat maps, and each parcel was assigned a value to denote whether it was a public or private roadway. Analysts then used ArcGIS Desktop to query the public roadway parcels and join them to the street centerline data in the roadway layer.\r\n\r\nWhile developing this layer, analysts discovered that the region has a long history of changing approved roadway widths and realigning streets. They also learned that there was limited data available on roadway conditions. Most historical information was maintained on hanging paper maps, in Mylar plans stored in slide drawers, and on various spreadsheets used throughout the city\u2019s public works department. This hodgepodge data made it difficult to develop a roadway network schema.\r\n\r\nTo assist with all this, the city\u2019s GIS analysts obtained raster aerial imagery of North Las Vegas from Esri partner Nearmap and stitched the images together in one seamless image database (SID) file using GeoExpress from Esri partner LizardTech (now Extensis). Analysts also reviewed scaled civil design drawings and evaluated historical pavement records to determine roadway dimensions and pavement thickness\u2014something that had never been entered into the city\u2019s GIS. This allowed the analysts to incorporate the condition and thickness of pavement sections as attributes in the roadway network layer."},{"acf_fc_layout":"content","content":"

Street Sweeper Operators Become Data Collectors<\/h2>\r\nThe next step was to determine the condition of roadway pavement throughout the city. And the team had an interesting idea: to have street sweepers collect data on road surface conditions.\r\n\r\nFor street sweeping, North Las Vegas is divided into 16 zones that are cleaned on various days of the week. Each street sweeper is equipped with software that records its location in real time. The idea was to have street sweeper operators use a four-button panel installed in the cab to record pavement conditions as they went over each section of street on their routes. The four-tier visual rating system worked as follows:\r\n