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Polycentric networks

Polycentric networks is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Polycentric networks rather than just read about it. In short: In public policy a polycentric network is a group of distinct local, regional, or national entities that work co-operatively towards a common goal. Proponents claim that such networks can better adapt to changing issues collectively than individually, thus providing network participants better results from relevant efforts.

Key takeaways

  • Polycentric networks belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Polycentric networks to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Polycentric networks from memory before moving on to harder problems.

Reference excerpt

In public policy a polycentric network is a group of distinct local, regional, or national entities that work co-operatively towards a common goal. Proponents claim that such networks can better adapt to changing issues collectively than individually, thus providing network participants better results from relevant efforts.

Urban contexts Robert Kloosterman and Bart Lambregts define polycentric urban regions as collections of historically distinct jurisdictions that are administratively and politically independent. These jurisdictions are in close proximity and well connected through infrastructure. The literature on polycentric urban regions is limited and unconsolidated, so diverse concepts exist. Evert Meijers claimed that polycentric networks are especially prominent in Europe. Rural polycentric networks are nearly non-existent. Urban polycentric networks draw heavily on economic network theories. According to Meijers, “individual cities in these collections of distinct but proximally-located cities relate to each other in a synergistic way, making the whole network of cities more than the sum of its parts”.

Implementation Polycentric networks have different spatial characteristics, reflecting a micro, meso, or macro-level of connections in a given region. These different scales allow flexible and convertible networks for spatial planning in complex regions and systems.

Micro-level: intra-urban or intra-regional aspects within a certain city region. The emphasis at this level is “urban functional and economic complementarities” which make “cooperation and improved links” major engines of regional economic performance and “promote integrated spatial development strategies for city clusters”. Meso-level: inter-metropolitan issues within a delimited area. The emphasis at this level is very similar to the micro-level, with added specialization. Macro-level: inter-metropolitan issues on a continental or global scale. At the macro level polycentricism is considered to be “a useful alternative model to enhance regional development more evenly across the European territory”.

Metropolitan areas In metropolitan areas, the scale and intensity of collaboration is a key determinant of whether or not polycentric networks function properly. Metropolitan planning organizations (MPOs) have given researchers a unique opportunity to study the scale and intensity of collaboration. A 2015 study of 381 MPOs in the United States, found a direct link between the MPO's scale and performance. The study concluded that more intense MPO collaboration across both vertical and horizontal stakeholders improved performance. The study found that MPOs that focused more on vertical collaboration (between the state and higher-up agencies) saw a decrease in their perceived performance. The study looked at 15 indicators including condition of transportation network, mobility for disadvantaged populations, air quality, highway congestion, public participation, extent of coordination and stakeholder involvement, satisfaction among general public, satisfaction among local stakeholders, compliance with federal and state rules, transportation systems security, accessibility, reliability, and safety, travel demand model accuracy and project implementation.

Future polycentric networks Researcher Perry Yang claimed that the future for polycentric networks lies in sustainability. Yang conducted research in Singapore around cities' push for greater sustainability. With globalization and the separation of land comes split ecosystems and habitat changes to built infrastructure for human development. A big issue for sustainability is how to minimize human environmental impact while thriving as a species. Yang's research explored Singapore's growth over time. He noted that this growth was largely industrial and revolved around rapid mass transit (MRT), which connects areas of the island. The general shift seen in Singapore can be seen as the impact of polycentric networks throughout the island with the implementation of rezoning policies. From 1986 to 1994, much rezoning occurred due to changes in land use policy. Yang found that transit and raw materials are central to growth in rapidly developing areas and argued that Singapore is a good example of a polycentric urban form, but may not be adequate to establish an urban sustainability model.

See also Economics of networks Supply chain collaboration

References

Worked examples

Example 1 — a first encounter with Polycentric networks

Start with the simplest possible case. Write down what Polycentric networks claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Polycentric networks before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Polycentric networks ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Polycentric networks

In research
Polycentric networks appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Polycentric networks in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Polycentric networks is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cityscapes, Community development, Economic integration, so understanding it makes those chapters shorter.
In everyday life
Look for Polycentric networks outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Polycentric networks in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Polycentric networks means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Polycentric networks out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Polycentric networks in simple terms?

In public policy a polycentric network is a group of distinct local, regional, or national entities that work co-operatively towards a common goal. Proponents claim that such networks can better adapt to changing issues collectively than individually, thus providing network participants better resu…

Why does Polycentric networks matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Polycentric networks?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Polycentric networks.

Tags

  • Cityscapes
  • Community development
  • Economic integration
  • Environmental impact assessment
  • Metropolitan areas
  • Natural resource management
  • Networks
  • Spatial planning
  • Transport and the environment
  • Travel
  • Urban planning
  • Urban planning in Singapore

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