Dynamic Adaptive Planning (DAP)

  • Warren E. WalkerEmail author
  • Vincent A. W. J. Marchau
  • Jan H. Kwakkel
Open Access


  • DAP is a DMDU approach for designing a plan that explicitly includes provisions for adaptation as conditions change and knowledge is gained.

  • The resulting plan combines actions to be taken right away with those that make important commitments to shape the future and those that preserve needed flexibility for the future.

  • The approach includes the specification of a monitoring system, together with the specification of actions to be taken when specific trigger values are reached.

  • This chapter describes the DAP approach and illustrates it with a (more or less) fictitious case. A real-life application is given in Chap.  8.

3.1 Introduction

Most strategic plans implicitly assume that the future can be predicted. A static plan is developed using a single future, often based on the extrapolation of trends, or a static ‘robust’ plan is developed that will produce acceptable outcomes in a small set of plausible future worlds. However, if the future turns out to be different from the hypothesized future(s), the plan might fail. Furthermore, not only is the future highly uncertain, the conditions planners need to deal with are changing over time (the economic situation, annual rainfall, etc.). This chapter describes an approach for planning under conditions of deep uncertainty called Dynamic Adaptive Planning (DAP). This approach is based on specifying a set of objectives and constraints, designing an initial plan consisting of short-term actions, and establishing a framework to guide future (contingent) actions. A plan that embodies these is explicitly designed to be adapted over time to meet changing circumstances.

DAP was first outlined by Walker et al. (2001) and made more concrete by Kwakkel et al. (2010). DAP has been explored in various applications, including flood risk management in the Netherlands in light of climate change (Rahman et al. 2008) and policies with respect to the implementation of innovative urban transport infrastructures (Marchau et al. 2008), congestion road pricing (Marchau et al. 2010), intelligent speed adaptation (Agusdinata et al. 2007), and ‘magnetically levitated’ (Maglev) rail transport (Marchau et al. 2010). Central to DAP is the acknowledgment of uncertainty, that ‘in a rapidly changing world, fixed static policies are likely to fail’ (Kwakkel et al. 2010). As new information becomes known, the plan should incorporate the ability to adapt dynamically through learning mechanisms (Kwakkel et al. 2010; Walker et al. 2001).

DAP is based in part on concepts related to Assumption-Based Planning (ABP) (Dewar et al. 1993). In ABP, an assumption is an assertion about some characteristic of the world that underlies a plan. A critical (load-bearing) assumption is an assumption whose failure would mean that the plan would not meet its objectives (i.e., would not be successful). An assumption is vulnerable if plausible events could cause it to fail within the expected lifetime of the plan. In brief, DAP involves specifying goals and objectives, developing an initial plan to meet these goals and objectives, identifying the vulnerabilities of the plan (i.e., how it might fail), adding to the plan a set of initial actions to be taken immediately upon implementation to protect it against some of these vulnerabilities, and establishing signposts to monitor the remaining uncertain vulnerabilities. During implementation, if the monitoring program indicates that one or more of the signposts reaches a predetermined critical level, predetermined contingent actions are taken (‘triggered’) to ensure that the plan stays on track to meet its goals and objectives. The plan, monitoring program, and contingent adaptations remain in place unless monitoring indicates that the intended outcomes can no longer be achieved, or if the goals and objectives change. In these instances, the entire plan is then reassessed, and a new plan is designed. The elements of flexibility, adaptability, and learning enable the plan to adjust to new information as it becomes available and therefore to deal with deep uncertainty. (The new information might reveal developments that can make the plan more successful, or succeed sooner; the adaptive plan should also be designed to take advantage of such opportunities.)

The DAP approach is carried out in two phases: (1) the design phase, in which the plan, monitoring program, and various pre- and post-implementation actions are designed, and (2) the implementation phase, in which the plan and the monitoring program are implemented and contingent actions are taken, if triggered. The five steps of the design phase are shown in Fig. 3.1. Once the plan is established through the five design steps shown, the plan is implemented and monitoring commences.
Fig. 3.1

Steps for DAP (Walker et al. 2013, p. 344)

3.2 The DAP Approach

  • Step I (Stage Setting) and Step II (Assembling an Initial Plan)

As a foundation for the plan, the goals and objectives that are important to the planners and stakeholders are defined—i.e., what constitutes a successful outcome. Constraints on the plan are identified, and a set of alternative actions to achieve the objectives are analyzed. In Step II, an initial plan that meets the goals and objectives is assembled from the alternatives that have been identified (as might be done, for example, in a traditional policy analysis study (Walker 2000)). The necessary conditions for success are outlined (e.g., social, technological, physical, political, economic, or other conditions necessary for the plan to succeed). It is very important in this step to identify the range of necessary conditions for success, as these are used in later steps to identify vulnerabilities, signposts, and triggers. For this reason, it is important to involve managing agencies, as well as other stakeholders.
  • Step III (Increasing the Robustness of the Initial Plan)

The static robustness of the initial plan is increased through a series of anticipatory actions taken in direct response to vulnerabilities and opportunities. Vulnerabilities that can diminish the success of the initial plan, and opportunities that can increase the success of the initial plan, are first identified. Analytical tools, such as Exploratory Modeling and Analysis (EMA) (Bankes et al. 2013), and scenario analysis (van der Heijden 1996), or expert opinions using Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis (Osita et al. 2014), may be used to investigate plausible future conditions to ensure that relevant vulnerabilities are identified. An approach based on EMA, called Scenario Discovery (Bryant and Lempert 2010; Kwakkel et al. 2012), can be used to identify the scenarios in which a plan would perform poorly. These scenarios highlight the vulnerabilities of the plan. Then, actions can be specified to protect the plan from failing if any one of these scenarios occurs. A way to specify protective actions is to use threats, opportunities, weaknesses, and strengths (TOWS) analysis (Weihrich 1982), which uses a SWOT analysis as input, and translates the outcomes of the SWOT analysis into actions. Other possible techniques include Delphi (Rowe et al. 1991), ABP (Dewar et al. 1993), and scenario analysis (van der Heijden 1996).
Five types of anticipatory actions can be taken immediately upon implementation of the plan to address these vulnerabilities (and opportunities), thus increasing the robustness of the initial plan. These five types of actions are (Walker et al. 2013):
  • Mitigating actions (M)—Actions that reduce adverse impacts on a plan stemming from certain (or very likely) vulnerabilities.

  • Hedging actions (H)—Actions that reduce adverse impacts on a plan, or spread or reduce risks that stem from uncertain vulnerabilities (much like buying car insurance).

  • Seizing actions (SZ)—Actions that take advantage of certain (or very likely) opportunities that may prove beneficial to the plan.

  • Exploiting actions (E)—Actions that take advantage of (uncertain) new developments that can make the plan more successful, or succeed sooner.

  • Shaping actions (SH)—Actions taken proactively to affect external events or conditions that could either reduce the plan’s chance of failure or increase its chance of success.

Mitigating actions and hedging actions prepare the initial plan for potential adverse effects and in this way try to make the plan more robust. Seizing actions and exploiting actions are actions taken now to change the policy in order to take advantage of available opportunities, which can also make the plan more robust. In contrast, shaping actions are proactive and aim at affecting external forces in order to reduce the chances of negative outcomes or to increase the chances of positive outcomes. As such, shaping actions aim not so much at making the plan more robust, but at changing the external situation in order to change the nature of the vulnerability or opportunity. For example, marketing is an attempt to increase the demand for a given product. In this way, one tries to prevent insufficient demand for the product.
  • Step IV (Setting up the Monitoring System)

A monitoring system is developed that will inform decisionmakers about actions that can be taken in response to new conditions. This constitutes the learning component that gives DAP the flexibility to adapt to new conditions over time. This introduces the element of adaptive robustness, which makes DAP able to deal with deep uncertainty, and distinguishes it from scenario-based approaches that are based on responding to a single or small set of hypothesized futures to achieve static robustness. The monitoring program consists of signposts and triggers. Signposts specify the types of information and variables that should be monitored to show (1) whether the initial plan is currently achieving its goals and/or (2) whether the vulnerabilities and opportunities identified in Step 3 are impeding the plan from achieving its goals in the future. Triggers are the critical signpost levels or events that, when they occur, signify that (contingent) actions should be taken to ensure the initial plan remains on course in order to continue to achieve its specified goals.
  • Step V (Preparing the Trigger Responses)

A series of trigger events and associated responsive actions are developed prior to implementation to allow the plan to adapt to new conditions if a trigger event occurs over the life of the plan. Preparation of these contingent actions may include carrying out studies, engineering design work, or developing supporting political and financial plans. The results of these efforts are then saved for use if trigger events occur after the actions in Steps II and III have been implemented. Walker et al. (2013) describe the four types of contingent actions that can be taken:
  • Defensive actions (DA)—Responsive actions taken after implementation of the initial plan to clarify the plan, preserve its benefits, or meet outside challenges in response to specific triggers, but that leave the initial plan unchanged.

  • Corrective actions (CR)—Adjustments to the initial plan in response to specific triggers.

  • Capitalizing actions (CP)—Responsive actions taken after implementation of the initial plan to take advantage of opportunities that further improve its performance.

  • Reassessment (RE)—A process initiated when the analysis and assumptions critical to the plan’s success have lost validity (i.e., when unforeseen events cause a shift in the fundamental goals, objectives, and assumptions underlying the initial plan).

The dynamic adaptive plan is then implemented. This involves the implementation of:
  • the initial plan identified in Step II;

  • the mitigating, hedging, seizing, and shaping actions developed in Step III;

  • and the monitoring program developed in Step IV.

If one of the signposts’ trigger events occurs after implementation of the initial plan, one or more of the contingent actions developed in Step V is executed. If the original objectives of the plan and constraints on it remain in place upon occurrence of the trigger event, then defensive or corrective actions will be taken. If the monitoring program encounters an opportunity, then capitalizing actions will be taken. If the monitoring program indicates a change that invalidates the initial plan’s goals, objectives, or intended outcomes (e.g., vulnerabilities exist or evolve beyond those considered during Step III—for example, the occurrence of a ‘Black Swan’ event (Taleb 2007)), then the complete plan is reassessed. However, reassessment does not mean completely starting over, as the knowledge of outcomes, objectives, measures, etc., learned during the initial DAP process would accelerate the new planning process.

3.3 A DAP Illustration: Strategic Planning for Schiphol Airport1

Amsterdam Airport Schiphol’s position as a hub within Europe is under pressure. The merger of Air France and KLM has resulted in the threat that KLM, Schiphol’s hub carrier, which is responsible for more than half of the scheduled aircraft movements at the airport, might move a significant portion of its operations to Charles de Gaulle Airport. The other major airports in Europe are planning on expanding their capacity or are developing dual airport systems, while Schiphol’s capacity is under threat of being reduced due to climate change induced changes in wind conditions and lack of societal support for capacity expansion. Together, this makes the long-term planning for Schiphol both urgent and problematic.

In the remainder of this section, we illustrate how each of the steps of DAP might be applied to the case of the long-term development of Schiphol. Its purpose is to illustrate DAP and how it could be applied in practice. To make the approach clear and understandable, the example simplifies some of the key challenges Schiphol faced in the recent past, when this study was performed. Therefore, the case should not be understood as presenting a realistic plan for the long-term development of Schiphol. It is merely an example loosely based on real planning issues and debates that planners are currently facing with respect to the long-term development of an airport.

  • Step I: Stage Setting

As outlined in its long-term vision (Schiphol Group and LVNL 2007), the main goals of the Schiphol Group are (1) to create room for the further development of the network of KLM and its Sky team partners, and (2) to minimize (and, where possible, reduce) the negative effects of aviation in the region. Underlying the first goal is the implicit assumption that aviation will continue to grow. However, in light of recent developments such as climate change and the financial crisis, this assumption is questionable. Therefore, as part of our ‘thought experiment,’ we rephrased this first goal more neutrally as ‘retain market share.’ If aviation in Europe grows, Schiphol will have to accommodate more demand in order to retain its market share, while if aviation declines, Schiphol could still reach its goal of retaining market share.
There are several types of changes that can be made at Schiphol in order to achieve its goals of retaining market share and minimizing the negative effects of aviation. Schiphol can expand its capacity by using its existing capacity more efficiently and/or building new capacity. It can also expand its capacity or use its existing capacity in a way that mitigates the negative effects of aviation. More explicitly, among the alternatives that Schiphol might consider are:
  1. 1.

    Add a new runway

  2. 2.

    Add a new terminal

  3. 3.

    Use the existing runway system in a more efficient way, in order to improve capacity

  4. 4.

    Use the existing runway system in a way that minimizes noise impacts

  5. 5.

    Move charter operations out of Schiphol (e.g., to Lelystad)

  6. 6.

    Move Schiphol operations to a new airport (e.g., in the North Sea)

  7. 7.

    Invest in noise insulation of surrounding buildings and houses.

Some of these actions can be implemented immediately (e.g., using the existing runway system in a more efficient way). For others, an adaptive approach would be to begin to prepare plans and designs (e.g., for a new runway), but to begin actual building only when conditions show it to be necessary (i.e., when it is triggered). The various alternative actions can, of course, be combined. The actions are constrained by costs, spatial and legal restrictions, public acceptance, and the landside accessibility of Schiphol. The definition of success includes that Schiphol maintains its market share and that living conditions improve compared to some reference situation (e.g., number of people affected by noise within a specified area).
  • Step II: Assembling an Initial Plan

An initial plan might be to immediately implement existing plans for using the runways more efficiently (alternative 3) and in a way that reduces noise impacts (alternative 4). It might also include all alternatives that focus on planning capacity expansions, without beginning to build any of them (i.e., alternatives 1, 2, and 5). A final element of the initial plan would be alternative 7: invest in noise insulation. The choice for only planning capacity expansions but not yet building them is motivated by the fact that Schiphol is currently constrained by the environmental rules and regulations, not by its physical capacity. This also motivates the choice for alternatives 3 and 4, which together can reduce the negative externalities of aviation.

In addition to the capacity expansions, Schiphol can develop plans to move charter operations to nearby Lelystad Airport, which would reduce noise around Schiphol and increase Schiphol’s capacity for regular flight operations. In order to realize such a move, Lelystad Airport would need to be expanded considerably, so planning should be started right away. Charter operations should then be moved there as soon as possible. In the short run, this would create additional capacity and reduce noise at the edges of the night, which is favorable for Schiphol, because the current noise regulation system heavily penalizes flights in the evening (19.00–23.00) and during the night (23.00–07.00). Note that Schiphol is currently implementing a plan for moving some operations to Lelystad.

In summary, the initial plan involves using the existing runway system in a more efficient and noise-reducing way; investing in noise insulation; and initiating plans for capacity expansion.

In light of Schiphol’s goals (retaining market share and minimizing the negative effects of aviation (Schiphol Group and LVNL 2007)), several necessary conditions for the success of the initial plan can be specified, including
  • Support from crucial stakeholders

  • Sufficient landside accessibility

  • ‘Self-hubbing’ grows as expected

  • ‘Airport city’ development increases

  • Schiphol retains its current market share

  • The population affected by noise and the number of noise complaints does not increase

  • Schiphol’s competitive position in terms of available capacity in Europe does not decrease.

  • Step III: Increasing the Robustness of the Initial Plan

The long-term development of Schiphol is complicated by the many and diverse trends and developments that can affect Schiphol. These developments and trends present both opportunities and vulnerabilities for the initial plan. Some of these vulnerabilities are fairly certain. These are given in Table 3.1. Two fairly certain vulnerabilities of the initial plan are resistance from stakeholders and a reduction in landside accessibility. The mitigating actions for addressing these vulnerabilities are very similar to actions under discussion by the Dutch government (V&W 2007). A shaping action for the vulnerability of landside accessibility is investment in research. In addition to vulnerabilities, there are also some opportunities available to Schiphol. First, there is research showing the potential for ‘self-hubbing’ (Burghouwt 2007; Malighetti et al. 2008). Self-hubbing means that passengers arrange their own flights and routes, using low-cost carriers or a variety of alliances, in order to minimize costs and/or travel time. Schiphol has a great potential for attracting such self-hubbing passengers because it has direct links to about 300 destinations. Schiphol can seize this opportunity by developing and implementing services tailored to self-hubbing passengers, such as services for baggage transfer and help with acquiring boarding passes. Furthermore, Schiphol could take into account walking distances between connecting European flights when allocating aircraft to gates. A second opportunity is presented by the fact that airports in general, and Schiphol in particular, are evolving into ‘airport cities.’ Given the good transport connections available, an airport is a prime location for office buildings. Schiphol can seize this opportunity by investing in non-aeronautical landside real estate development.
Table 3.1

Certain (very likely) vulnerabilities and opportunities, and responses to them

Vulnerabilities and opportunities

Mitigating (M), Shaping (SH), and Seizing (SZ) actions

Reduction of the landside accessibility of the airport

M: Develop a system for early check-in and handling of baggage at rail stations

SH: Invest in R&D into the landside accessibility of the Randstad area

Resistance from Schiphol stakeholders (e.g., environmental groups, people living around Schiphol)

M: Develop plans for green areas to compensate for environmental losses

M: Offer financial compensation to residents in the high noise zone

Rise of self-hubbing

SZ: Design and implement a plan for supporting self-hubbing passengers with finding connection flights, transferring baggage, and acquiring boarding passes

Rise of the airport city

SZ: Diversify revenues by developing non-aeronautical landside real estate

Not all vulnerabilities and opportunities are very likely. The real challenge for the long-term development of Schiphol is presented by uncertain vulnerabilities and opportunities. Table 3.2 presents some of the uncertain vulnerabilities, together with possible hedging (H) and shaping actions (SH) to take right away to handle them. The vulnerabilities and opportunities can be directly related and categorized according to the success conditions specified in the previous step. With respect to the success condition of retaining market share, air transport demand might develop significantly different from what is hoped and anticipated. Schiphol can respond to this development by making Lelystad Airport suitable for handling non-hub-essential flights. Another vulnerability is that KLM might decide to move a significant part of its operations to Charles de Gaulle Airport in Paris. This will leave Schiphol without its hub carrier, significantly reducing demand, and changing the demand to origin–destination (O/D) demand. Schiphol could prepare for this vulnerability by making plans for adapting the terminal to the requirements of an O/D airport, and by diversifying the carriers that serve Schiphol. Schiphol can also try to directly affect KLM by investing in a good working relationship, reducing the chance that KLM will leave. There is also uncertainty about the future of the hub-and-spoke network structure. Due to Open Sky agreements and the development of the Boeing 787, long-haul low-cost, hub bypassing, and self-hubbing become plausible, resulting in the emergence of long-haul low-cost carriers (LCC) and increasing transfer between short-haul low-cost, and long-haul carriers (both LCC and legacy carriers). Schiphol can prepare for this by developing a plan to change its current terminal to serve a different type of demand, and by taking these plausible developments into consideration when designing the new LCC terminal and its connection with the existing terminal. If a transformation to international O/D traffic and/or a no-frills airport is needed, this plan can be implemented, making sure that the transformation can be achieved quickly.
Table 3.2

Uncertain vulnerabilities and opportunities, and responses to them

Vulnerabilities and opportunities

Hedging (H) and Shaping (SH) actions

Necessary condition for success: retain market share

Demand for air traffic grows faster than forecast

H: Prepare Lelystad Airport to receive charter flights

Demand for air traffic grows slower than forecast

SH: Advertise for flying from Schiphol

Collapse or departure of the hub carrier (KLM) from Schiphol

H: Prepare to adapt Schiphol to be an O/D airport

H: Diversify the carriers serving Schiphol

SH: Develop a close working relation with KLM

Rise of long-haul low-cost carriers

H: Design existing and new LCC terminal to allow for rapid customization to airline wishes.

Rise of self-hubbing, resulting in increasing transfers among LCC operations

H: Design a good connection between the existing terminal and the new LCC terminal, first with buses, but leave room for replacing it with a people mover

Necessary condition for success: population affected by noise and the number of noise complaints should not increase

Maintain current trend of decrease of environmental impact of aircraft

SH: Negotiate with air traffic control on investments in new air traffic control equipment that can enable noise abatement procedures, such as the continuous descent approach

SH: Invest in R&D, such as noise abatement procedures

Increase in the population density in area affected by noise

H: Test existing noise abatement procedures, such as the continuous descent approach, outside the peak periods (e.g., at the edges of the night)

SH: Negotiate with surrounding communities to change their land use planning

SH: Invest in R&D, such as noise abatement procedures

Change in the valuation of externalities by the public

SH: Invest in marketing of the airport to brand it as an environmentally friendly organization

SH: Join efforts to establish an emission trading scheme

Necessary condition for success: Schiphol’s competitive position in terms of available capacity in Europe does not decrease

Other major airports in Europe increase capacity

No immediate action required

Development of wind conditions due to climate change

H: Have plans ready to quickly build the sixth runway, but do not build it yet. If wind conditions deteriorate even further, start construction

The second success condition is that the population affected by noise, and the number of noise complaints, should not increase. Vulnerabilities and opportunities associated with this condition are that the environmental impacts of aircraft decreases, the population density in the area affected by noise increases, and the valuation of externalities (predominantly noise) by the large public changes. If the current trend of decreasing environmental impact slows down, the area affected by noise might increase. If demand increases, it is also possible that the area affected by noise will increase. On the other hand, the trend could also accelerate, giving Schiphol the opportunity to expand the number of flights that is handled. Given the potential impact of this trend, Schiphol should try and shape its development by investing in R&D and negotiate with air traffic control about testing noise abatement procedures, such as continuous descent approaches. If the population density changes, the situation is similar. If it increases, the number of people affected by noise will increase, while if it decreases, the number of people affected by noise will decrease. Schiphol can try and shape this development by negotiating with surrounding communities about their land use planning, and invest in research (or even implement measures) that can make the area affected by noise smaller. It can also hedge against a growing population density by starting to test noise abatement procedures outside peak hours. This will make the area affected by noise smaller. Thus, even if the population density increases, the total number of people affected will not increase. A third uncertainty is how the valuation of noise will change in the future. If noise will be considered more of a nuisance, complaints are likely to go up and vice versa. Schiphol could try to affect this valuation by branding the airport as environmentally friendly and support the development of an emission trading scheme that also includes aviation.

The third success condition is that Schiphol’s competitive position in terms of available capacity in Europe does not decrease. Schiphol is vulnerable to capacity developments at other airports in Europe. The major hubs in Europe are all working on expanding their capacities, either by adding runways and expanding terminals, or by moving non-hub-essential flights to alternative airports in the region. Schiphol should monitor these developments closely and, if necessary, speed up its capacity investments. A second vulnerability is the robustness of Schiphol’s peak hour capacity across weather conditions. Under southwesterly wind conditions, Schiphol’s hourly capacity is almost halved, resulting in delays and cancellations. If (e.g., due to climate change) these wind conditions were to become more frequent, Schiphol would no longer be able to guarantee its capacity. Schiphol should hedge against this by having plans ready for building the sixth runway.

  • Step IV: Setting up the Monitoring System and Step V: Preparing the Trigger Responses

Step IV sets up the monitoring system and identifies the actions to be taken when trigger levels of the signposts are reached. The vulnerabilities and opportunities are those presented in Table 3.2. Table 3.3 shows the signpost to be set up for each vulnerability and each opportunity, and the possible responsive actions in case of a trigger event. The numbers used as triggers are for illustrative purposes only. For example, if demand increases twice as fast as expected, this presents an opportunity (extra business) and a vulnerability (increased noise) and triggers capitalizing and defensive actions. Suppose that demand grows, e.g., 25% slower than anticipated. This presents a threat to the plan. In reaction, investments in capacity are delayed or even canceled. If demand either fully breaks down or explodes, then the plan should be reassessed.
Table 3.3

Monitoring, triggers, and actions

Vulnerabilities and opportunities

Monitoring and trigger system

Actions (Reassessment (RE), Corrective (CR), Defensive (DA), Capitalizing (CP))

Necessary condition for success: retain market share

Demand for air traffic grows faster than forecast

Monitor the growth of Schiphol in terms of passenger movements, aircraft movements (and related noise and emissions). If double demand (trigger), take CP-action; if demand explodes, take RE-action

CP & DA: Begin to implement the plan for the new terminal and the new runway

RE: Reassess entire plan

Demand for air traffic grows slower than forecast

Monitor types of demand. If overall demand is decreasing by half of forecast, take DA-actions. If demand fully breaks down, take RE-action. If transfer rate decreases below 30%, take CR-action

DA: Delay investments and reduce landing fees

RE: Reassess entire plan

CR: Cancel terminal capacity expansions

Collapse or departure of the hub carrier (KLM) from Schiphol

Monitor the network of KLM–Air France. If 25% of flights are moved, take DA-action; if 50%, take CR-action; if 80% or more, take RE-action

DA: Diversify the carriers that fly from Schiphol

CR: Switch airport to an O/D airport by changing terminal

RE: Reassess entire plan

Rise of long-haul low-cost carriers

Monitor development of the business model of low-cost carriers. If long-haul LCC carriers make profit for 2 years, take CP-action

CP: Attract long-haul LCC by offering good transfer between LCC terminal and existing terminal and/or by offering wide-body aircraft stands at the LCC terminal

Rise of self-hubbing, resulting in increasing transfers between LCC operations

Monitor transfer rate among LCC flights and between LCC and legacy carriers. If transfer rate becomes more than 20%, take CP-action

CP: Expand transfer capabilities between the new LCC terminal and the existing terminal

Necessary condition for success: population affected by noise and the number of noise complaints should not increase

Maintain current trend of decrease of environmental impact of aircraft

Monitor noise footprint and emissions of the fleet mix serving Schiphol and of the new aircraft entering service. If there is an increase of noise or emissions of 10%, take CR-action

CR: Change landing fees for environmentally unfriendly planes

Increase in the population density in area affected by noise

Monitor population affected by noise. If population affected by noise increases by 2%, take DA-action; by 5%, take CR-action; by 7.5%, take RA-action. If population density decreases by 2%, take CP-action

DA: Expand insulation program and explain initial plan again

CR: Slow down growth by limiting available slots

RE: Reassess entire plan

CP: Make new slots available

Change in the valuation of externalities by the public

Monitor the complaints about Schiphol. If complaints increase by an average of 5% over 2 years, take DA-action; if complaints increase by an average of 10% or more over 2 years, take CR-action

DA: Increase investments in marketing and branding

CR: Slow down the growth of Schiphol by limiting the available slots

Necessary condition for success: Schiphol’s competitive position in terms of available capacity in Europe does not decrease

Other major airports in Europe increase capacity

Monitor declared capacity for the major airports in Europe. If declared capacity is up by 25%, take DA-action

DA: Speed up expansions

Development of wind conditions due to climate change

Monitor the prevailing wind conditions throughout the year. If for 2 years in a row the number of days with crosswind conditions exceeds 50, take DA-action

DA: Begin to implement the plan for the new runway

3.4 Implementation and Adaptation

After Step V has been completed, the dynamic adaptive plan has been completely designed. That plan is then implemented. It consists of the initial plan specified in Step II, the actions specified in Tables 3.1 and 3.2, and the system of monitoring, triggers, and actions specified in Table 3.3. Note that the new runway being planned in the initial plan is not built yet, but can be built easily when necessary in light of demand increases or capacity decreases at other major European airports. As such, it is what is known as a ‘real option.’ Planning should also be started for the new terminal (including its connections to the highway system, the rail system, and required utilities). However, construction of the terminal itself should begin only if triggered by demand developments or capacity developments at other airports.

During implementation, Schiphol monitors the development. Schiphol might experience faster growth than anticipated in the plan. The signposts might indicate that Schiphol is maintaining its position as a major airport for the Sky Team alliance and its partners; however, the boundaries set for safety, the environment, and quality of life, and spatial integration with its surroundings might be violated. If so, construction of the new terminal can start. In addition, actions need to be taken to defend the plan with respect to the negative external effects. The noise insulation program can be expanded, and more investment can be made in branding and marketing that aim at explaining the plan. If these actions prove to be insufficient, the noise insulation program can be expanded; Schiphol should start to buy out residents that are heavily affected by noise and increase landing fees for environmentally unfriendly planes. If this still is insufficient, Schiphol should consider limiting the number of available slots, especially during the night and edges of the night. If these actions are still insufficient, either because demand grows very fast or because the environmental impact grows too fast, the plan should be reassessed. If this alternative is chosen, the decisionmakers would reiterate through the adaptive planning steps in order to develop a new (adaptive) plan.

3.5 Conclusions

Long-term plans must be devised in spite of profound uncertainties about the future. When there are many plausible scenarios for the future, it may be impossible to construct any single static plan that will perform well in all of them. It is likely, however, that over the course of time new information will become available. Thus, plans should be adaptive—devised not to be optimal for the best estimate future, but robust across a range of plausible futures.

Such plans combine actions that are time urgent with those that make important commitments to shape the future and those that preserve flexibility needed for the future. DAP is an approach to plan design and implementation that explicitly confronts the pragmatic reality that traditional (static) plans need to be adjusted as the world changes and as new information becomes available. The approach allows planners to cope with the uncertainties that confront them by creating plans that respond to changes over time and that make explicit provision for learning. The approach makes adaptation explicit at the outset of plan design. Thus, the inevitable changes in the plan become part of a larger, recognized process and would not be forced to be made repeatedly on an ad hoc basis, which would be the case if the plan were static.

The DAP approach has several strengths. First, it is relatively easy to understand and explain. Second, it encourages planners to think about ‘what if’ situations and their outcomes, and to make decisions over time to adapt while maintaining flexibility with respect to making future changes; this also helps in foreseeing undesirable lock-ins or other path dependencies so that they can be avoided. Third, it makes explicit that adaptation is a dynamic process that takes place over time; it forces planners to consider changes continuously over time, rather than at one or a few points in time as most scenario approaches do. On the other hand, the resulting plan might end up costing more if no responsive actions are needed. Also, setting up the monitoring system may be complicated, the monitoring itself may be expensive over a long period, and policymakers and politicians may resist the idea of committing to adaptive actions in advance.


  1. 1.

    Based on Kwakkel et al. (2010).


  1. Agusdinata, D. B., Marchau, V. A. W. J., & Walker, W. E. (2007). Adaptive policy approach to implementing intelligent speed adaptation. IET Intelligent Transport Systems (ITS), 1(3), 186–198.CrossRefGoogle Scholar
  2. Bankes, S., Walker, W. E., & Kwakkel, J. H. (2013). Exploratory modeling and analysis. In S. Gass & M. Fu (Eds.), Encyclopedia of operations research and management science (3rd ed.). New York: Springer.Google Scholar
  3. Bryant, B. P., & Lempert, R. J. (2010). Thinking inside the box: A participatory computer-assisted approach to scenario discovery. Technological Forecasting and Social Change, 77, 34–49.CrossRefGoogle Scholar
  4. Burghouwt, G. (2007). Airline network development in Europe and its implications for airport planning. Burlington, USA: Ashgate Publishing Company.Google Scholar
  5. Dewar, J. A., Builder, C. H., Hix, W. M., & Levin, M. (1993). Assumption-based planning: A planning tool for very uncertain times. Santa Monica, CA: MR114-A, RAND.Google Scholar
  6. Kwakkel, J. H., Walker, W. E., & Marchau, V. A. W. J. (2010). Adaptive airport strategic planning. European Journal of Transport and Infrastructure Research, 10(3), 249–273.Google Scholar
  7. Kwakkel, J. H., Auping, W., & Pruyt, E. (2012). Dynamic scenario discovery under deep uncertainty: The future of copper. Technological Forecasting and Social Change, 80(4), 789–800.
  8. Malighetti, P., Paleari, S., & Redondi, R. (2008). Connectivity of the European airport network: ‘SelfHelp Hubbing’ and business implicatons. Journal of Air Transport Management, 14(2), 53–65.CrossRefGoogle Scholar
  9. Marchau, V. A. W. J., Walker, W. E., & van Duin, R. (2008). An adaptive roach to implementing innovative urban transport solutions. Transport Policy, 15(6), 405–412.CrossRefGoogle Scholar
  10. Marchau, V. A. W. J., Walker, W. E., & van Wee, G. P. (2010). Dynamic adaptive transport policies for handling deep uncertainty. Technological Forecasting and Social Change, 77, 940–950.CrossRefGoogle Scholar
  11. Osita, H. C., Idoko O. R., & Nzwkwe, J. (2014). Organizations stability and productivity: The role of SWOT analysis. International Journal of Innovative and Applied Research, 2(9), 23–32.Google Scholar
  12. Rahman, S. A., Walker, W. E., & Marchau, V. A. W. J. (2008). Coping with uncertainties about climate change in infrastructure planning: An adaptive policymaking approach. Rotterdam: Ecorys.Google Scholar
  13. Rowe, G., Wright, G., & Bolger, F. (1991). Delphi, a re-evaluation of research and theory. Technological Forecasting and Social Change, 53, 235–251.CrossRefGoogle Scholar
  14. Schiphol Group, & LVNL. (2007). Verder Werken aan de toekomst van Schiphol en de regio. Schiphol Group, Air Traffic Control the Netherlands.Google Scholar
  15. Taleb, N. N. (2007). The black swan. New York: Random House.Google Scholar
  16. van der Heijden, K. (1996). Scenarios: The art of strategic conversation. Chichester, UK: Wiley.Google Scholar
  17. V&W. (2007). Lange Termijn Verkenning Schiphol: probleemanalyse. Ministerie van Verkeer en Waterstaat.Google Scholar
  18. Walker, W. E., Rahman, S. A., & Cave, J. (2001). Adaptive policies, policy analysis, and policymaking. European Journal of Operations Research, 128, 282–289.CrossRefGoogle Scholar
  19. Walker, W. E., Marchau, V. A. W. J., & Kwakkel, J. H. (2013). Uncertainty in the framework of policy analysis. In W. E. Walker & W. A. H. Thissen (Eds.), Public policy analysis: New developments. New York: Springer.Google Scholar
  20. Walker, W. E. (2000). Policy analysis: A systematic approach to supporting policymaking in the public sector. Journal of Multicriteria Decision Analysis, 9(1–3), 11–27.CrossRefGoogle Scholar
  21. Weihrich, H. (1982). The TOWS matrix: A tool for situational analysis. Long Range Planning, 15(2), 54–66.CrossRefGoogle Scholar

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Authors and Affiliations

  • Warren E. Walker
    • 1
    Email author
  • Vincent A. W. J. Marchau
    • 2
  • Jan H. Kwakkel
    • 1
  1. 1.Delft University of TechnologyDelftThe Netherlands
  2. 2.Radboud University (RU)NijmegenThe Netherlands

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