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- Henry Cunningham
- 5 years ago
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1 !"#$"%&"'"#($"))$% *+,-.#+#%$)%/#")012#-3%4+"5%26%!""7*"83%% 9)$:+#0$-;%<2==+(+%*2)52)% % >C%7+1-+'8+#%AB>?% 7D/DEDFDFD/D%0,G22=% >?%@.(.0-%AB>?%!""#$%&$'()#")'*+,(-#.(/#0121+3(1"(4#"5#"(
2 H+'2(#"1G$,%I% 72,$"=%,G")(+% 7G$J%$)%+,2)2'$,% 12K+#% E"1$5%.#8")$0"L2)% <=$'"-+%,G")(+% % /+,G)2=2($,"=% 8#+"M-G#2.(G0% *2)52)N% F,2)2'$,%,20-%26%,2)(+0L2)%K"0% OPD?8%$)%AB>Q%%
3 !.=LR5$#+,L2)"=%,2''.)$,"L2)%8+-K++)%.0+#0%I% E+"=RL'+3%$)-+(#"-+5%I%,.0-2'$T+5% 822M$)(3%1";'+)-3%8$==$)(% <G")($)(%-#":+=%G"8$-0%")5%-#")012#-%'$S%%
4 U+)+#"L2)%V%G"0%8++)%W8"-G+5%$)%8$-0%")5%8;-+0X% 0$),+%8$#-G% <2)0$0-+)-%52K)K"#5%-#+)5%$)%-G+%1+#,+)-"(+% 26%;2.)(%1+21=+%2K)$)(%"%5#$:$)(%=$,+)0+% <G")($)(%+S1+,-"L2)0%-2K"#5% $)5$:$5."=$T"L2)%")5%0.0-"$)"8$=$-;% Y6#2'%2K)+#0G$1%-2%.0+#0G$1% digital
5 Z+K%'28$=$-;%0+#:$,+0%$)%*2)52)%
6 [2.#)+;%\="))+#0%
7 What about infrastructure integration?
8 ])-+(#"-+5%$)6#"0-#.,-.#+% <+)-#"=% *2)52)N% +:+#;-G$)(% $0%-G+#+%
9 ])-+(#"-+5%$)6#"0-#.,-.#+% ^2)+%AN% "='20-% +:+#;-G$)(% $0%-G+#+%
10 How do Londoners travel?
11 ])1.-%H"-"% *2)52)%/#":+=%H+'")5%7.#:+;%_*/H7`3%ABBPRAB>a% -! >ba3bbc%1"#l,$1")-03% -! %QCC3AQC%-#$103%")5% -! %CBP3CbP%0-"(+0%
12 7-"(+0%1+#%/#$1% QDA%-#$10% 1+#%5";% acc%26% -G+%-#$10%,2)0$0-%26% 2)+%0-"(+%% 2:+#%PBc% G":+%'2#+% -G")%2)+% 0-"(+%%
13 Transport Mode % Walk Cycle Driver (private vehicle) Passenger (private vehicle) Bus UG, OG, DLR, Tr NaLonal Rail Taxi Car is the most popular mode ShiJ away from driving cars
14 H$0-"),+%26%7-"(+0%8;%!25+% 6( ab% QP% QB% AP% AB% >P% >B% P% B% <"#%5#$:+#% <"#% 1"00+)(+#% f.0% 9U3gU3% H*E3%/#% E"$=% /"S$% 9)5+#%>%M'% >RA%M'% ARQ%M'% QRP%M'% PR>B%M'% >BRAB%M'% B:+#%AB%M'% <"#%$0%-G+% 1#+52'$)")-% '25+%62#%-#$10% h>m'%'25+% Z2#-G%F"0-% I%<+)-#"=% *2)52)N% -#$10%hAM'%
15 ])-+#'25"=%/#$10% /"S$%% E"$=% 9U3%gU3%H*E3% f.0%% <"#%\"00+)(+#% <"#%H#$:+#% <;,=+% e"=m% E"$=%I%/.8+% ij% $)-+#'25"=% -#$10% Bc% ABc% abc% bbc% CBc% >BBc% g)=;%2)+%'25+%_$),=.5$)(%",,+00%")5%+(#+00%$6%k"=m$)(`%!2#+%-g")%2)+%'25+%
16 eg"-%"82.-%)+k%'28$=$-;%0+#:$,+0k% ij%gl,$"=%5"-"0+-0%52%)2-%2m+#%$)62#'"l2)%"82.-%)+k%'28$=$-;% 0+#:$,+0%")5%'28$=$-;%"110%
17 7-"-+%26%-G+%"#-%5"-"%,2==+,L2)%-22=0% >?%
18 London Mobility Survey (LMS) Step 1: Create your account at hnps://london.fmsensing.com/general Step 2: Answer the pre-queslonnaire survey Most of the queslons have been taken from LTDS queslonnaire Extra queslons have been added to customise it to the purpose of our study: Car-Sharing Parking Journey planners Step 3: Download the FM Sensing app and start tracking your aclviles for one week Step 4: AJer a week of tracking and validalng your aclviles, go to the post survey page to check your stalslcs and tell us your opinion about a new mobility service for London 18
19 >d%
20 @,L:$-;%H$"#;%R%r+#$s,"L2)%! FS"'1=+0%26%-#$10%:+#$s,"L2)%_,"#3%#"$=3%-.8+`% AB%
21 Activity Diary- Tracking! Open APIs have been linked in the back-end of the system to enhance predictions, reduce response burden, and record more information. Google Polyline Decoder (determine trace segments leading up to each stop) Google Places API (transit stations locations) TfL StopPoint API (transit stations IDs needed for fare calculation) TfL Fares API (fares for tube and rail based on zone and time of the day) TfL Capping Rates (shapefiles for pricing zones) In real time for each trip Oyster Zones (shapefiles for pricing zones) 21
22 Activity Diary: Tracking! Information from Open APIs is linked to each trip Status of the PT services API Disruptions API TfL Embarkation Points Facilities API for each trip Bike Points & Cycle Hire API Car Parks Occupancy API TfL Traffic Cameras API Weather API Twitter API!! Travel time & cost for alternative transport modes is automatically calculated National Rail API Uber & Google API 22
23 Example: Traffic Cameras Data Potential for image processing 23
24 London Mobility Survey: Mobility Record! Trip data & Pre-questionnaire are used to provide statistics to users! Mobility Record (monthly)! Users love to get feedback 24
25 London Mobility Study: Mobility Record 25
26 Avtudes Towards Uber's Services 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% I enjoy not having to hassle with payment I love seeing where the UBER vehicle is in real Lme I love how the driver automalcally knows where I am The only reason I choose UBER is because it is cheaper than other taxis I trust the reliability of Uber I like to have a look at my trip history I like being able to send a text with a live map of my progress to my friends I enjoy using SpoLfy when I ride an UBER Don't Know point Likert scale: 1=Completely disagree,, 7=Completely agree
27 <"#R2K)+#0%"v-.5+0% <"#R2K)+#0%0++'%-2%6",+%0+:+#"=%1"$)%12$)-0%KG$=+%5#$:$)(N%%! bdc%,="$'+5%-g"-%5#$:$)(%$0%"%)$(g-'"#+d%/g$0%"v-.5+%#+'"$)0% 6"$#=;%,2)0-")-%",#200%"==%-G+%#+0$5+)L"=%T2)+0D%! P>c%0-"-+5%-G"-%,2)(+0L2)%$0%"%1#28=+'%KG+)%-G+;%5#$:+D%/G20+% KG2%=$:+%$)%T2)+0%>RA%0++'%-2%6",+%-G+%8$((+0-%,2)(+0L2)% 1#28=+'0%"0%?ac%26%-G+'%"(#++%K$-G%-G$0%0-"-+'+)-D%%! abc%5+,="#+5%-g"-%$-%-"m+0%-g+'%"%=2-%26%l'+%-2%s)5%"%1"#m$)(% 01",+%KG+)%-G+;%.0+%-G+$#%:+G$,=+0D%%
28 Z2)R,"#R2K)+#0%"v-.5+0% I believe there is no need to own a car in London The number of cars is a big problem in London
29 Z2)R,"#R2K)+#0%"v-.5+0%
30 Z2)R,"#R2K)+#0%"v-.5+0%! C?c%8+=$+:+%-G"-%-G+#+%$0%)2%)++5%-2%2K)%"%,"#%$)%*2)52)3%#+("#5=+00% 26%-G+$#%"(+%2#%-G+%T2)+%-G+;%=$:+%$)D%!?Cc%8+=$+:+%-G"-%-G+%).'8+#%26%,"#0%$0%"%8$(%1#28=+'%62#%-G+%9&%,"1$-"=D%!?Ac%8+=$+:+%-G"-%2K)$)(%"%,"#%$0%"%8$(%G"00=+D%!?Bc%,="$'+5%-G"-%1+21=+%0G2.=5%8.;%6+K+#%,"#0D%! aac%26%)2)r,"#r2k)+#0%0-"-+5%-g"-%-g+;%k$==%5+s)$-+=;%)2-%8.;%"%,"#% $)%-G+%6.-.#+D%!$==+)$"=0%"#+%-G20+%KG2%"(#++%-G+%'20-%K$-G%-G$0% 0-"-+'+)-D%
31 @v-.5+0%-2k"#50%0g"#+5%'28$=$-;% /G#+582%AB>?3%7-2,MG2='%
32 K+%)++5%"%Y% quantum leap in technology, ")5 a paradigm shift in thinking
33 /#":+==$)(%Y%%)2-%")%+"0;%$00.+% /G#+582%AB>?3%7-2,MG2='%
34 Rethinking mobility W!28$=$-;%"0%"%7+#:$,+X%
35 !""7%<2),+1-% 7+"'=+00%'28$=$-;% /#")012#-%% 21+#"-2#0%!""7% g1+#"-2#% 90+#0%!.=L'25"=%[2.#)+;%\="))+#% E+"=%/$'+%])62#'"L2)% ])62#'"L2)%I% \="))$)(%])-+(#"L2)% f22m$)(% \";'+)-% U+v)(%2)%82"#5%o%/$,M+-% \";'+)-%I%/$,M+L)(% ])-+(#"L2)%
36 Qb%26%>b% Current Situation MaaS model /Ef%AB>b3%e"0G$)(-2)%H<D% Urban Trips......!""#$ %&'()*+& Intercity Trips City X City X!""#$ %&'()*+& City Y City Y
37 Q?%26%>b% /Ef%AB>b3%e"0G$)(-2)%H<D%! /G+%!""7%'25+=%,2:+#0%0+:+#"=%,2),+1-0%-G"-%G":+% 8++)%+S-+)0$:+=;%5$0,.00+5%$)%-G+%-#")012#-"L2)% 0+,-2#%5.#$)(%="0-%5+,"5+0D%%!! /G+0+%"#+%-G+%$)-+(#"L2)3%$)-+#,2))+,L:$-;%")5% 21L'$T"L2)%26%-G+%-#")012#-%0+#:$,+03%0'"#-%")5%0+"'=+00% '28$=$-;3%")5%0.0-"$)"8$=$-;D% %! %/G+%'25+=%"=02%$),=.5+0%,2),+1-0%-G"-%G":+%#+,+)-=;% +'+#(+5%:$"%-G+%])-+#)+-%26%/G$)(0%")5%-G+%0G"#+5% +,2)2';3%0.,G%"0%-G+%-+#'%W"0%"%0+#:$,+X%")5% 1+#02)"=$0"L2)D%%
38 90$)(%!""7R*2)52)%
39 MaaS-London rethinking mobility /G")M%;2.x%!"#$"%&"'"#($"))$% 'DM"'"#($"))$y.,=D",D.M%
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