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10.1016/j.trd.2020.102396 http://scihub22266oqcxt.onion/10.1016/j.trd.2020.102396 C7329686/?report=reader!7329686!32834737     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Transp+Res+D+Transp+Environ 2020 ; 86 (ä): 102396 Nephropedia Template TP {{tp|p=32834737|t=2020. Spatial associations of dockless shared e-scooter usage |pdf=|usr=}}{{32834737}} gab.com Text Spatial associations of dockless shared e-scooter usage JO: Transp Res D Transp Environ http://www.kidney.de/pget.php?&tw=1&pmid=32834737 #FOAvip In this study, we explore the usage of e-scooter sharing services in Austin, Texas over about a six-month period. The study is based on trip records of all the shared e-scooter operators in Austin and includes trip start and end locations. We use both analysis of trip patterns and spatial regression techniques to examine how the built environment, land use, and demographics affect e-scooter trip generation. Our findings show that people use e-scooters almost exclusively in central Austin. Commuting does not seem to be the main trip purpose, and usage of e-scooters is associated with areas with high employment rates, and in areas with bicycle infrastructure. People use e-scooter sharing regardless of the affluence of the neighborhood, although less affluent areas with high usage rates have large student populations, suggesting that students use this mode of travel. Implications for planners suggest that better bicycle infrastructure will facilitate e-scooter usage, college towns are a ready market for e-scooter sharing services, and e-scooters may be a substitute for some short non-work trips, reducing car usage, and benefiting the environment. Twit Text FOAVip Spatial associations of dockless shared e-scooter usage ????Transp Res D Transp Environ http://www.kidney.de/pget.php?&tw=1&pmid=32834737 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834737 #FOAvip English Wikipedia <ref>{{Cite pmid|32834737}}</ref> Spatial associations of dockless shared e-scooter usage #MMPMID32834737 Caspi O; Smart MJ; Noland RB Transp Res D Transp Environ 2020[Sep]; 86 (ä): 102396 PMID32834737show ga In this study, we explore the usage of e-scooter sharing services in Austin, Texas over about a six-month period. The study is based on trip records of all the shared e-scooter operators in Austin and includes trip start and end locations. We use both analysis of trip patterns and spatial regression techniques to examine how the built environment, land use, and demographics affect e-scooter trip generation. Our findings show that people use e-scooters almost exclusively in central Austin. Commuting does not seem to be the main trip purpose, and usage of e-scooters is associated with areas with high employment rates, and in areas with bicycle infrastructure. People use e-scooter sharing regardless of the affluence of the neighborhood, although less affluent areas with high usage rates have large student populations, suggesting that students use this mode of travel. Implications for planners suggest that better bicycle infrastructure will facilitate e-scooter usage, college towns are a ready market for e-scooter sharing services, and e-scooters may be a substitute for some short non-work trips, reducing car usage, and benefiting the environment. äSpatial associations of dockless shared e-scooter usage (epmc).pdf DeepDyve Pubget Overpricing