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Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

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Page 1: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Planning for and Learning from Disruptions

Greg Marsden – LeedsJillian Anable - AberdeenIain Docherty - Glasgow

Page 2: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Presentation

• What do we mean by disruptions?– What do they reveal?

• Researching disruption– National survey– Action research

• Implications

Page 3: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Disruptions come in various forms

Source: Getty Images

Australia: source- telegraph.co.uk

Page 4: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Disruptions reveal insights

• “Studying moments when infrastructures cease to work as they normally do is perhaps the most powerful way of really penetrating and problematising those very normalities of flow and circulation to an extent where they can be subjected to critical scrutiny”

(Graham, 2010)

Page 5: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

What do we mean by disruptions?

Moments where systems cease to work as they normally do and which have a significant impact

on mobility

Page 6: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

“Although the stimulus for change varied, in each case drivers needed to decide what to do when their normal travel patterns were disrupted, and there were useful insights from all the examples as to how they reacted.”Cairns, S., Atkins, S. and Goodwin, P.G. (2002) Disappearing Traffic? The story so far, Proceedings of the Institution of Civil Engineers: Municipal Engineer 151 (1), 13-22

Page 7: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

What do we mean by disruptions?

Page 8: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

National Survey

Q1. How is disruption conceptualised (i.e. what is it?)Q2. What role does it play in everyday life (i.e. how often does it occur?)Q3. What events cause disruption?Q4. How does this vary by mode, socio-demographics and place?

Page 9: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

The data

• On-line panel survey (YouGov)• Early September 2013• n=2700• Pre cognitive testing (n=27) + pilot (n=100)• 20 minutes average completion time

• Weighting: ONS stats on composition of each local authority area to weight the data by age, gender and social grade.

Page 10: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Sampling Regions

6 Travel to Work Areas (TTWA)

Geographically and socio-demographically diverse, and provide a better representation of a regions sphere of influence.

•Aberdeen (n=436)•Liverpool (n=410)•London (n=632)•Reading & Bracknell (n=410)•Yeovil & Chard (n=405)•York (n=407) Total n=2700

Page 11: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

How did we define disruption to participants?

Introductory rubric:• “The topic of this survey is ‘disruption.’ By ‘disruption’ we mean

events that cause us to change our travel arrangements and/or the activities we were planning to do. This can include disruption which happens on the roads, railways and other modes of transport, but can also include many other types of events which cause us to have to change our plans.”

Example question:• “ How frequently would you say your plans to get to/from the

following activities are disrupted for some reason? This may be due to something happening with the transport mode you intend to use (i.e. your car breaks down or the train is cancelled), but it could also be due to something non-transport related like your child falls ill and you have to change your plans of how/when/whether to travel.”

Page 12: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Q1: How is disruption conceptualised? • 17 attitude statements to 5 ‘factors’ representing key

conceptual dimensions of disruption:Factor Attitude statement, each prefixed by “Disruption…”

F1. Negative emotional impacts …worries me…makes me feel vulnerable…makes me feel angry…has a major impact on my life…is something that can have a negative impact on me…is a constant frustration for me

F2. Positive emotional impacts …can be exciting…is something that can have a positive impact on me…can open my eyes to new ways of doing things

F3. Frequency …is something out of the ordinary…is something I expect to happen frequently…is not something that I expect to happen very often

F4. Control …is something that cannot be controlled…is something that cannot be anticipated…is something I just accept

F5. Causes …mostly results from human (or man-made causes)…mostly results from natural or environmental causes

Page 13: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Construct developmentConstruct Definition WP1 questions

Variability Travel patterns are currently variable/change from day to day

NOT asked directly. We asked about:frequency of experiencing disruption on different journey purposesgeneral perception of frequency of disruption (various attitude statements)

Flexibility Travel patterns have the potential to change (Timing, Route, Mode)

“How easy/difficult would it have been to…o …travel at a different time of the day?o …used a different mode?o …cancelled/postponed the trip?

Coping Capacity Self reported ability to adapt/ cope with unexpected disruption

I am quite knowledgeable about transport options and routes and this makes it easier for me to cope with disruption

I consider myself to be quite good at coping with travel disruption

I find it difficult to adapt when travel options change My health makes it difficult for me to be flexible with

my travel

Acceptability Degree to which disruption is expected and even seen as a good thing

Negative impacts Positive impacts Stated acceptability

Page 14: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Flexibility: How easy would it be to change?

• Respondents in employment (excluding home workers) regarding the journey to work (51% / n=1,387)

58.6% of journeys made by car/van/motorcycle 22.4% by public transport 18.5% walk/cycle

39.7% of journeys ≤5 miles

10% drop-off/pick-up children as part of journey 45% have to travel outside of the workplace sometimes 14% care for an adult outside of their normal working activities 33% work at home at least one day a week

Page 15: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Perceived (in)flexibility

Least flexibility =16.4%

Highest flexibility =6.4%

Page 16: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Q2. What role does it play in everyday life? (i.e. how often does it occur)?

• Respondents were asked how often their travel plans were disrupted (1=Always, 5=Never) while undertaking 5 common everyday journeys…-work (paid)-work (voluntary)-shopping-caring for an adult- taking children to school/nursery

• …as well as up to 3 self-named additional journeys that they undertook regularly as part of their everyday life (e.g. going to the gym or seeing friends).

• We were interested here not so much in which trips were the most disrupted per se (although this was of interest elsewhere) but what role disruption plays in everyday life.

Page 17: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow
Page 18: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Q3. What sort of events cause disruption?

Respondents were asked to state the last time that their plans had been disrupted by adverse weather conditions, strike action on the transport system, road works, an accident or mechanical failure on public transport, and having to care for a friend or relative (including children).

•Over half of respondents (50.6%, n= 1365) experienced at least one type of disruption in the preceding month. Of these, 14.6% experienced 2 or more disruptions.

•Generally speaking, and as expected, those who claimed they were ‘often’ or ‘always’ disrupted were more likely to have experienced disruption in the preceding month. But who are these people…?

Page 19: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

What type of events lead to the most disruption? (open ended question)

(open ended q – coded into 7 categories; n=103 of respondents who said their journey to work was ‘always’ or ‘often’ disrupted)

Transport system-related events responsible for 70% of disruption on the journey to work

Page 20: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Q4. How does this vary by mode, place, and socio-demographics?

• Who experiences the most disruption?

Significant? Always and Often(11.3%)

Sometimes(30.6%)

Rarely and Never(58.1%)

Aged 17-29 Aged 60+

Yes (p<001) 19.4%19.7%

13.9%29.5%

11.5%35.1%

Female Yes (p<.05) 55.9% 52.3% 48.1%

Have access to a car No (p=.940) 74.3% 73.9% 73.5%

Earn less than £20kEarn more than £75k

No (p=.809) 18.8%9.2%

19.7%10.0%

17.5%9.1%

Regularly use public transport Yes (p<001) 29.6% 17.6% 11.5%

Have at least two additional travel responsibilities (travel

at work, caring for adults, children) (p<001)

Yes (p<001) 13.2% 6.2% 3.3%

Have a disability Yes (p<001) 21.4% 13.1% 12.7%

Page 21: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Does disruption vary by location?(percentage of respondents Rarely or Never, Sometimes, and Often or Always disrupted.

Page 22: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Thoughts…• Having access to a car does not reduce perceived experience of

disruption , although – • - the more public transport is used, the more disruption is

experienced• Having additional travel responsibilities increases perceived

exposure to disruption• It is not clear whether having a disability cuts across other factors in

terms of ones experience of disruption, or amplifies existing vulnerabilities.

• London residents do seem to experience greater levels of disruption• It is an extremely complex picture. The way people perceive and

experience disruption is not just a matter of who they are or where they live (although this still can be important), it also relates to their past experiences, their attitudes, their perceived flexibility and their ability to cope with the event.

Page 23: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Researching DisruptionUnplanned Events

Page 24: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Disruption Project Case Study Winter Weather

Page 25: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Disruption Context• The UK experienced a bout

of disruptive wintery weather that started 18 January and lasted for just over a fortnight.

• Disruption for several days• School closures – more than

5,000 on 21st January • Cancellation of public transport

– including major airports• Road closures• Difficulty travelling on roads

that were open.

Page 26: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Online Panel Survey• Decision to deploy an online panel survey made on 21

January.• N = 2418• 6 of the worst affected regions chosen:

o Hampshire, Kent and Surreyo Norfolko South Waleso West Yorkshire

Page 27: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Mode Use by Journey PurposeMode Commute Biz

TravelSchool/ Child Care

Other Care

Health Leisure Shopping Sport Meet n Greet

Other

Walk 10% 2% 37% 12% 11% 19% 19% 9% 6% 25%

Bicycle 3% 0% 0% 0% 0% 2% 2% 3% 0% 1%

Car 76% 82% 60% 87% 82% 76% 78% 84% 79% 61%

Bus 11% 6% 14% 8% 16.5% 8% 14% 4% 9% 10%

Train 14% 12% 3% 1% 1% 7% 3% 4% 11% 6%

Plane 0% 4% 0% 0% 0% 1% 0% 1% 1% 0%

Other 2% 12% 3% 1% 0% 1% 2% 3% 4% 11%

Page 28: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Main activity affectedActivity Delayed

StartDelayed Finish

Postponed Cancel New Destination

Conducted At Home

Other n

Commute 49% 32% 8% 41% 2% 12% 5% 974

Biz Travel 21% 17% 41% 41% 2% 5% 4% 126Return Home 26% 46% 16% 16% 4% 0% 5% 74

Health 7% 7% 48% 37% 0% 0% 7% 85School/ Child Care

14% 5% 10% 80% 0% 3% 2% 278

Other Care 22% 23% 34% 25% 1% 8% 9% 77

Shopping 16% 8% 46% 34% 5% 5% 2% 250

Sport 3% 1% 24% 75% 1% 0% 0% 113Leisure 5% 3% 28% 59% 2% 1% 7% 151Family/ Friends

9% 4% 46% 45% 2% 2% 1% 194

Other 12% 8% 15% 24% 1% 1% 11% 95

Page 29: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Role of Distance

Distance Carried On

Conducted at Home

Another form of Transport

Cancelled Rearranged Someone Else

New Destination

Other N

0-2 miles 21% 5% 8% 43% 18% 4% 2% 11% 473

3-5 miles 21% 8% 9% 45% 22% 3% 3% 6% 524

6-10 miles 11% 11% 8% 42% 22% 3% 4% 5% 485

11-20 miles 28% 13% 9% 35% 22% 3% 2% 3% 399

21-50 miles 23% 20% 7% 34% 28% 2% 2% 4% 335

51+ miles 22% 8% 6% 32% 42% 3% 2% 4% 201

Page 30: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Does mode make a difference?

Mode of Transport

Carried On

Conducted at Home

Another form of Transport

Cancelled Rearranged Someone Else

New Destination

Other N

Walk 26% 10% 4% 46% 19% 5% 1% 7% 345

Car 21% 11% 8% 41% 26% 3% 3% 6% 1,812

Bus 27% 9% 13% 42% 23% 2% 3% 2% 266

Train 40% 17% 15% 27% 17% 1% 2% 4% 230

Bicycle 32% 13% 40% 34% 3% 0% 5% 0% 38

Plane 39% 8% 0% 31% 8% 8% 8% 15% 13

Page 31: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Does previous experience matter?

Experience Carried On

Conducted at Home

Another form of Transport

Cancelled Rearranged Someone Else

Elsewhere Other

0 times 24% 7% 6% 40% 22% 3% 2% 7%

1-2 times 22% 8% 8% 43% 26% 4% 2% 6%

3-6 times 23% 13% 9% 38% 25% 3% 3% 6%

7+ times 24% 14% 11% 39% 22% 2% 2% 5%

Page 32: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Statistically Significant Outcomes• Those aged 30+ years have a higher probability of not making their journey,

particularly the case for those aged 30 to 49 years which probably reflects the fact that they have children to care for.

• Walk and train journeys have a higher probability of taking place compared to car. The main difference is that walk journeys have a much higher probability of taking place. Note that the other modes are not significant.

• Compared with frequent journeys less frequent journeys have a higher probability of not taking place, particularly low journey frequencies.

• If the respondent is not physically expected to be in work then there is high probability that they will not make the journey, suggesting they will work from home.

• If the employer is not accommodating then there is a stronger possibility that the employee will make the journey into work.

Page 33: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Disruption Project Case StudyYork Floods

Page 34: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Some Key Findings• For an event lasting a week or less, many activities can be

rescheduled• More significant to many

– Funeral, visiting elderly relative– Caring, single parent families

• Public transport services to some communities were cut – a problem to rely on public transport?

• Access by bike was much easier than by car for many• Impacts of school closures was greater than transport system• E-working can be undertaken for some

Page 35: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

CAR responses

Page 36: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

CYCLE responses

Page 37: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Drawing Together Unplanned• Greater flexibility in retiming activities

– Earlier vs Later– Today, Tomorrow or Next Week

• Learnt strategies are used– Resource to cultivate– Novelty led to some in York being ‘caught out’

• Without good guidance and/or communication bad choices are made– ‘Call it’ early– Only travel if necessary???

• Mode specific response to events• Not just a transport issue – schools, healthcare...

Page 38: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Researching DisruptionPlanned Events

• A major sporting event – London 2012– Largely temporary change to normal

• A major office consolidation– Creating a ‘new normal’

• Characteristics– Long warning period– Time horizon known– Control is higher– Scope is defined

Page 39: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Disruption Project Case StudyLocal Council Reorganisation

• 18 sites consolidated into two• Open plan integrated working space• Not enough desks for people• Shared meeting space• No formal parking• Increase in flexible working and move to paperless• Distances most people ‘moved’ small – 14% mode shift• N = 271 questionnaire• 32 Interviews

Page 40: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Days in Office – Before and After

Worked 0 Days 1 Day 2 Days 3 Days 4 Days 5 Days 6+ days

Before 2% 2.5% 2% 8% 16% 70% 0.5%

After 1.5% 2.5% 4.5% 16.5% 27.5% 48% 0.5%

Page 41: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Departure time variability

Depart A lot more variable

A little more variable

Just as variable

A little less variable

A lot less variable

For work 6% 20.5% 62.5% 6% 4.5%

From work 8.5% 19.5% 61.5% 6% 5%

Increases

Page 42: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Has your spouse/partner had to make changes as a result?

Yes – a lot of changes 3%

Yes – some changes 15.5%

No – I have made changes but they have not 22.5%

No – I have not made changes and neither have they 38%

I don’t have a spouse or partner 21.5%

Page 43: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Drawing Together Planned• Major changes are more acceptable than normally considered• ‘Non-transport’ interventions have important transport

opportunities• Greater flexibility in retiming activities

– Earlier vs Later– Need to think also of household structure

• Scope for greater home working but limits• Good communication led to good choices

– But even those not planning to, do change

• Longevity depends on wider conditions

Page 44: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

So What?• Taking practical lessons to stakeholders• Series of interviews with key stakeholders from

transport *and other* sectors– ‘Framing’ disruption: are ‘elite’ conceptions of

disruptions and their importance consistent with empirical data?

– Testing ideas about coping with/proactively using disruption to innovate

• Deliberative policy-design workshops to follow• Resource for survey still there

Page 45: Planning for and Learning from Disruptions Greg Marsden – Leeds Jillian Anable - Aberdeen Iain Docherty - Glasgow

Thank Youwww.disruptionproject.net

[email protected]@abdn.ac.uk

[email protected]