{"id":3303,"date":"2019-08-21T16:27:38","date_gmt":"2019-08-21T14:27:38","guid":{"rendered":"http:\/\/en.advancedfleetmanagementconsulting.com\/?p=3303"},"modified":"2019-08-21T16:27:38","modified_gmt":"2019-08-21T14:27:38","slug":"3303","status":"publish","type":"post","link":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/2019\/08\/21\/3303\/","title":{"rendered":"Ride-Hailing: A Major Contributor to City Congestion"},"content":{"rendered":"

\"The<\/p>\n

The study looked at combined\u00a0vehicle miles traveled (VMT) in September 2018 in six major metropolitan areas: Los Angeles, San Francisco, Seattle, Chicago, Boston, and Washington, D.C. Photo via Uber.\u00a0<\/em><\/p>\n

Ride-Hailing: A Major Contributor to City Congestion<\/h2>\n

Decreasing traffic congestion has often been touted as the primary reason behind the use of ride-hailing apps. However, a new study, commissioned by ride-hailing giants Uber and Lyft, found that ride-hailing vehicles actually increases\u00a0traffic congestion in major cities.<\/p>\n

The study looked at combined\u00a0vehicle miles traveled (VMT) in September 2018 in six major metropolitan areas: Los Angeles, San Francisco, Seattle, Chicago, Boston, and Washington, D.C. It\u00a0revealed that ride-hailing vehicles’ average VMT to be in the low single digits as a percentage when compared to overall vehicle traffic.<\/p>\n

In\u00a0the Seattle area, Uber and Lyft rides made up 1.1% of VMT, the lowest percentage recorded in areas studies. At its highest in the San Francisco metro region, Uber and Lyft made up 2.7%.<\/p>\n

<\/div>\n\n\n\n\n\n\n\n\n\n\n
Metro region<\/th>\nOther other VMT<\/th>\nUber, Lyft VMT<\/th>\n<\/tr>\n<\/thead>\n
Boston<\/td>\n98%<\/td>\n2%<\/td>\n<\/tr>\n
Chicago<\/td>\n98%<\/td>\n2%<\/td>\n<\/tr>\n
LA<\/td>\n99%<\/td>\n1%<\/td>\n<\/tr>\n
San Francisco<\/td>\n97%<\/td>\n3%<\/td>\n<\/tr>\n
Seattle<\/td>\n99%<\/td>\n1%<\/td>\n<\/tr>\n
Washington, DC<\/td>\n98%<\/td>\n2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\nVMT numbers change when looking at metro region vs. core county.<\/p>\n

For instance, while ride-hailing in the San Francisco metro area contributed 2.7% to total VMT, in core county, in made up nearly 13%. The gap is smaller in some areas, like Seattle, where VMT for the county increased to 1.9% on average.<\/p>\n\n\n\n\n\n\n\n\n\n\n
Core rounty<\/th>\nAll other VMT<\/th>\nUber, Lyft VMT<\/th>\n<\/tr>\n<\/thead>\n
Suffolk County (Boston)<\/td>\n92%<\/td>\n8%<\/td>\n<\/tr>\n
Cook County (Chicago)<\/td>\n97%<\/td>\n3%<\/td>\n<\/tr>\n
Los Angeles County (LA)<\/td>\n97%<\/td>\n3%<\/td>\n<\/tr>\n
San Francisco County (SF)<\/td>\n87%<\/td>\n13%<\/td>\n<\/tr>\n
King County (Seattle)<\/td>\n98%<\/td>\n2%<\/td>\n<\/tr>\n
Washington, DC (City limits)<\/td>\n93%<\/td>\n7%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

Among the reports findings\u00a0was the revelation that on average, Uber and Lyft drivers spend the majority of their time driving without passengers in the vehicle.<\/p>\n

Source: https:\/\/www.autorentalnews.com<\/a><\/p>\n

FLEET MANAGEMENT AUDIT<\/h3>\n

Fleet management is the use of a set of vehicles in order to provide services to a third-party, or to perform a task for our organization, in the most efficient and productive manner with a determined level of service and cost.<\/p>\n

Fleet management activities are shown in the following graph 1:<\/p>\n

\"fleet<\/p>\n

Graph 1: fleet management activities<\/p>\n

The proposal audit analyses and assesses all fleet management activities shown in the graph 1, and its main goals are:<\/p>\n