{"id":967,"date":"2016-10-17T12:35:18","date_gmt":"2016-10-17T19:35:18","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f16\/?p=967"},"modified":"2016-10-17T12:35:18","modified_gmt":"2016-10-17T19:35:18","slug":"l-a-controllers-office-street-grades","status":"publish","type":"post","link":"http:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/17\/l-a-controllers-office-street-grades\/","title":{"rendered":"L.A. Controller’s Office: Street Grades"},"content":{"rendered":"

This data set<\/a> within the L.A. Controller\u2019s office compiles Los Angeles County\u2019s street pavement conditions according to a Pavement Condition Index. Each record is a numerical rating of the street conditions, with ranges going from good, fair, to poor. Each record contains a street name, location, and date. The data is arranged on an interactive map, showing green, yellow, and red areas for good, fair, and poor road conditions, respectively. It also highlights the neighborhood councils and council districts partitioning the city and allows a viewer to see the varying road repair plans across time by toggling by year. <\/span><\/p>\n

This dataset\u2019s ontology\u00a0organizes\u00a0data with an aim to understand where and when street conditions have been suffering and where they have been improved. The options to toggle between time periods and view district boundaries implies that those are pieces of information that provide contrast depending on spatial and temporal context. This ontology would benefit any worker under the Bureau of Street Services, which is where this dataset and interactive site originates from. It would be helpful in understanding the terrain of Los Angeles, the current conditions of the roads, and what work has been done in the past to remedy problem areas. It also goes to show what work needs to be done further regarding road conditions in certain areas, as there are certain districts with predominantly green (good) conditions, while others are overwhelmingly red (poor). It can also give insight to where funds are being allocated within those districts, specifically what amount of funds are being invested in street pavement repair. <\/span><\/p>\n

This dataset gives a lot of insight into what the road conditions are like in Los Angeles, and also accurately shows the road repair plans as well. It communicates this data effectively through visual assets that only strengthen the narrative it sets out to convey. With regards to what\u2019s left out of this dataset, it does seem like the data paints an incomplete picture. Many of the roads in the San Fernando Valley are documented and categorized, but lots of areas are lacking in representation. West LA and mid-city, for example, are sparse in data. Understanding the street conditions form the data presented in those areas would be more difficult and possibly misleading, as one may not be able to reach legitimate conclusions from just this data. <\/span><\/p>\n

I think an interesting ontology to present this data in would be one that demonstrates some cultural\/political information along with the street conditions. Incorporating information about the different council districts and their financial brackets or their budget breakdown would be interesting, so one would be able to make conclusions about the causes of the varying road conditions throughout the LA area. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

This data set within the L.A. Controller\u2019s office compiles Los Angeles County\u2019s street pavement conditions according to a Pavement Condition Index. Each record is a numerical rating of the street … Continue reading “L.A. Controller’s Office: Street Grades”<\/span><\/a><\/p>\n","protected":false},"author":82,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-967","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/967","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/users\/82"}],"replies":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=967"}],"version-history":[{"count":0,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/967\/revisions"}],"wp:attachment":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=967"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=967"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}