making connections and scheduling on the route to school: the smartphone enabled walking school bus

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Making Connections and Scheduling on the Route to School: The Smartphone Enabled Walking School Bus Sarah Norgate, Nichola Street (University of Salford) Christopher Winstanley , Mike Harding & Nigel Davies (Lancaster University) 1

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Making Connections and Scheduling on the Route to School: The Smartphone Enabled

Walking School Bus

Sarah Norgate, Nichola Street (University of Salford) Christopher Winstanley , Mike Harding & Nigel Davies

(Lancaster University)

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Current and future challenges in school travel

• Implications of the European Environment AgencyReport (2013).

• Peak proportion of cars on the roads taking children toschool in urban areas is 25% of all traffic (DfT, 2010).

• Currently 42% pupils age 5-10 years driven to schoolcompared with 37% in 2000 (DfT, 2010).

• Last 30 years, average size UK primary school ~ 200pupils. By 2020 population of pupils in state fundedprimary schools is projected to rise by 18% (DfE,2012). 2

3

Time for a fresh look at Walking School Buses (WSB)?

Timeline of WSB innovation:

1990: David Engwicht innovates WSBs.

1992: Hertfordshire (Wheatfields Primary) launch.

2013: Smart mobility device “Where is my walking school bus?” App trialled in Greater Manchester.

The future: Expansion to ‘Smart Cities’? 4

Is there a case for an increased role for WSBs?

• Obesity rate increase from 17% to 19% (2007 - 11).• Data on health benefits of Walking School Buses (WSB),particularly relevant to longer term habit formation. • Status of children’s independent mobility in Europe(PSI, 2013) shows some variation. • Number of 7-10 year olds ‘usually accompanied’ by anadult to school rose from 72% in 2002 to 80% (DfT, 2011).

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Reasons cited by parents for accompanying child to school (DfT, 2011)

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Fear of assault or molestation

Convenient to accompany

child

Child might get lost

Traffic danger Child might not arrive in time

Conceptions of ‘time’: A case for developing WSBs ?

• ‘Time’ as a barrier to children’s independent mobility.

• International evidence (review of 12 studies based on9173 children and >300 schools) identified ‘time’ as bothbarrier and facilitator to effective functioning of WSBs(Smith et al. in press).

• By 2015, 80% internet users will access internet bymobile device, so could smart mobility make WSB moreconvenient to users?

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Animation of the concept

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Award-winning impact pathway informed by multiple stakeholders

Na#onal  and  regional  policy  influencing    -­‐  

Modeshi6  

Transport  for  Greater  Manchester  

District  authori#es  *  

Primary  schools  &  Headteacher  

WSB  Coordinators  

Family  

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• ModeshiftUK Award for partnershipengagement, ‘Where is my Walking School Bus’ App.

• Contribution towards Leading ParentPartnership Award

• Partnerships with district authoritiesincluding Trafford, Manchester City, Urban Vision, Oldham, Wigan, Stockport, Bolton Tameside Council’s.

Do users show any intention of adoption of the “Where’s my Walking School Bus?” App?

• 29 users (13 WSBCs; 6 HTs; 10 parents) from 15 schools.• 8 ‘below average’ deprivation on UK Network Public Health

Observatories.• Individual semi-structured interviews via ‘storyboards’ and

‘screenshots’ of smartphones.• 21/29 accepted it; 8 ‘ambiguous’ & no rejects.• 33 ‘pros’ identified with 17 related to timing:

- confidence in timing of ‘set off’ /progression (9/17)- fluidity under scheduling constraints or time pressure (5/17).

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Research phase one

Distribution of ‘Pros’ on the Unified Theory of Acceptance and Use of Technology (Venkatesh et al.,

2003)

BenMessaoud C, Kharrazi H, MacDorman KF (2011) Facilitators and Barriers to Adopting Robotic-Assisted Surgery: Contextualizing the Unified Theory of Acceptance and Use of Technology. PLoS ONE 6(1): e16395. doi:10.1371/journal.pone.0016395 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0016395

10/33

22/33

0/33

1/33

Convenience Lateness

Knowing on way Built environment

Adverse weather

10/33 ‘pros’ related to specific conditions where visibility helps.

Distribution of ‘Cons’ on the Unified Theory of Acceptance and Use of Technology (Venkatesh et

al., 2003)

BenMessaoud C, Kharrazi H, MacDorman KF (2011) Facilitators and Barriers to Adopting Robotic-Assisted Surgery: Contextualizing the Unified Theory of Acceptance and Use of Technology. PLoS ONE 6(1): e16395. doi:10.1371/journal.pone.0016395 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0016395

11/22

1/22

8/22

2/22

Digital access for

users Planning &

numbers Safety of

WSB

Cognitive constraints for WSBC

Trust in WSBC

‘Cons’ – are they insurmountable?

Is there any evidence of the impact of ‘early phase’ of adoption of ‘WSB’ smart mobility on user cognitions?

• Do users in a ‘smart mobility’condition perceive waiting timeduration shorter or longer than‘control’ group users?

• How do users in the smartmobility condition talk abouttheir waiting experience?

• Do users with different mental‘time perspectives’ (Webster,2011) perceive waiting timedifferently?

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Research phase two

Time Expansive

Futurists

Reminiscers Time Restrictive

High

High Low

Low

Past

Futu

re

Figure 1. Four-category conceptual mode;, BTPS category labels are in bold. Taken from Webster 2011.

Methods

• Trialled in Manchester, U.K. with six schools acrossthe demographic range.

• Focus on cognitive experience in the early phase ofadoption (one day, five days, five weeks).

• Compared perceived waiting time across a ‘smartmobility’ experimental condition with a ‘control’condition.

• Semi-structured interviews with adopters in the‘smart mobility’ condition.

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Sample  characteris#cs  

Experimental  (N=26)  

Control  (N=21)  

Sta7s7cal  Outcomes  

Number  who  are  female  parents   24   19   -­‐  

Previous  mobile  phone  experience  i.e.  owner  

100%   100%  

Mean  no.  of  months  of  previous  WSB  use  (standard  devia7on)  

13.39  (15.50)   14.12  (19.04)   No  significant  difference  (p=0.87)  

Mean  dura7on  in  minutes  of  perceived  wai7ng  7me  of  

tradi7onal  WSB.    

4.23  (3.17)   3.67  (2.08)   No  significant  difference  (p=0.48)  

Distribu7on  in  par7cipa7on  across  trials  

1  day   26   21  

Mul7ple  Day  Distribu7ons    across  trials  (based  on  mean  3-­‐5  days)  

Mul7ple  Days   12   8  

Distribution of Time Perspective across groups as measured by The Balanced Time Perspective

Scale (Webster, 2011)

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Time  perspec#ve   Experimental  (N=26)   Control  (N=21)  

Time  Expansive   14   12  

Reminiscers   5   5  

Time  Restric7ve   5   3  

Futurist   2   1  

Total   26   21  

Results

• One day trial: Significant 3 way interaction betweencondition (Smart Mobility vs Control), time point (pre-trial vs trial) and Balanced Time Perspective category.F(3,32)=2.82, p=0.054.

• Multiple days trials: Significant 3 way interactionbetween condition (Smart Mobility vs Control), timepoint(pre-trial vs trial) and Balanced Time Perspectivecategory. F(3,32)=4.15, p=0.001.

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Thematic analysis from the experimental group (n=21)

Theme n Representative comment PROs ‘Time’ 6 “Being able to track the WSB meant we were able to leave the house just

before it reached us, cutting down the waiting time.”

Child use 4 “The children enjoyed following the bus (on App) learning about where the signal came from.”

Visibility of WSB

2 “Felt App useful as I was able to see where WSB was. Also I was able to see when they arrived at school.”

Generic 2 “The Application was great.”

CONs Usability On day

2 “Bus app did not work so we left early to make sure we did not miss it”

‘Time’ 1 “The bus arrived later at 8.17hrs when its latest time is 8.17hrs, I was anxious

OTHER 2 “I don’t really wait when my children are ready as they just knock the door ..”

No commentleft

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TOTAL 21 21

Representative quotes from 5 Week Post-Trial Interviews

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Theme Example quotation

Positive Time “The most enjoyable, for me it’s that you do things just in time. To like

what I hate is going out and waiting for another two minutes or three minutes, like previously. That’s why I’m dreading what are we going to do without the App.”

Relaxed/Less Stressful

“With the App it’s more relaxed to get on with what you need to do”

Confidence in App

“..as the days and the weeks went on, you could like I said, have more confidence in it and yes, definitely is going to be on time..”

Negative Features that were not used

“I never took any notice of the predicted arrival times at all. That’s probably more you can rely on that more than predicted- because it’s predicted isn’t it. You can see exactly where they are.”

Initially difficult to incorporate into morning routine.

“I think maybe the first couple of days, obviously getting used to it and getting into it and things it was a bit, I wouldn’t say stressful or frustrating. It was just because it was something new to get used to”

Conclusions and Next Steps

• Impact of ‘early phase’ adoption of smart mobilitydemonstrated impact on user waiting experience – includingcognitions - which strengthened over the trial.

• Implications for design of future smart mobility initiativesincluding digital inclusion.

• Next steps: Expansion to Android and Self-service user websiteunder development.

• Interest from school leadership teams in USA, Canada,Norway and Germany.

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Thank you for your time.

[email protected] @SarahNorgate

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