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The principle of least effort is the theory that the “one single primary principle” in any human action, including verbal communication, is the expenditure of the least amount of effort to accomplish a task. Also known as Zipf’s Law, Zipf’s Principle of Least Effort, and the path of least resistance.
The principle of least effort (PLE) was proposed in 1949 by Harvard linguist George Kingsley Zipf in Human Behavior and the Principle of Least Effort (see below). Zipf’s immediate area of interest was the statistical study of the frequency of word use, but his principle has also been applied in linguistics to such topics as lexical diffusion, language acquisition, and conversation analysis.
In addition, the principle of least effort has been used in a wide range of other disciplines, including psychology, sociology, economics, marketing, and information science.
Examples and Observations
Language Changes and the Principle of Least Effort
“One explanation for linguistic change is the principle of least effort. According to this principle, language changes because speakers are ‘sloppy’ and simplify their speech in various ways. Accordingly, abbreviated forms like math for mathematics and plane for airplane arise. Going to becomes gonna because the latter has two fewer phonemes to articulate. . . . On the morphological level, speakers use showed instead of shown as the past participle of show so that they will have one less irregular verb form to remember.
“The principle of least effort is an adequate explanation for many isolated changes, such as the reduction of God be with you to good-bye, and it probably plays an important role in most systemic changes, such as the loss of inflections in English.”
(C.M. Millward, A Biography of the English Language, 2nd ed. Harcourt Brace, 1996)
Writing Systems and the Principle of Least Effort
“The principal arguments advanced for the superiority of the alphabet over all other writing systems are so commonplace that they need not be repeated here in detail. They are utilitarian and economic in nature. The inventory of basic signs is small and can be easily learned, whereas it asks for substantial efforts to master a system with an inventory of thousands of elementary signs, like the Sumerian or Egyptian, which did what the Chinese, according to the evolutionary theory, should have done, namely give way to a system which can be handled with greater ease. This kind of thinking is reminiscent of Zipf’s (1949) Principle of Least Effort.”
(Florian Coulmas, “The Future of Chinese Characters.” The Influence of Language on Culture and Thought: Essays in Honor of Joshua A. Fishman’s Sixty-Fifth Birthday, ed. by Robert L. Cooper and Bernard Spolsky. Walter de Gruyter, 1991)
G.K. Zipf on the Principle of Least Effort
“In simple terms, the Principle of Least Effort means, for example, that a person in solving his immediate problems will view these against the background of his future problems, as estimated by himself. Moreover, he will strive to solve his problems in such a way as to minimize the total work that he must expend in solving both his immediate problems and his probable future problems. That, in turn, means that the person will strive to minimize the probable average rate of his work-expenditure (over time). And in so doing he will be minimizing his effort. . . . Least effort, therefore, is a variant of least work.”
(George Kingsley Zipf, Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology. Addison-Wesley Press, 1949)
Applications of Zipf’s Law
“Zipf’s law is useful as a rough description of the frequency distribution of words in human languages: there are a few very common words, a middling number of medium frequency words, and many low-frequency words. [G.K.] Zipf saw in this a deep significance. According to his theory, both the speaker and the hearer are trying to minimize their effort. The speaker’s effort is conserved by having a small vocabulary of common words and the hearer’s effort is lessened by having a large vocabulary of individually rarer words (so that messages are less ambiguous). The maximally economical compromise between these competing needs is argued to be the kind of reciprocal relationship between frequency and rank that appears in the data supporting Zipf’s law.”
(Christopher D. Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing. The MIT Press, 1999)
“The PLE has been most recently applied as an explanation in the use of electronic resources, most notably Web sites (Adamic & Huberman, 2002; Huberman et al.
1998) and citations (White, 2001). In the future, it could be fruitfully used to study the tradeoff between the use of documentary sources (e.g. Web pages) and human sources (e.g. through email, listserves, and discussion groups); since both types of sources (documentary and human) are now located conveniently on our desktops, the question becomes: When will we choose one over the other, given that the difference in the effort has lessened?”
(Donald O. Case, “Principle of Least Effort.” Theories of Information Behavior, ed. by Karen E. Fisher, Sandra Erdelez, and Lynne [E.F.] McKechnie. Information Today, 2005)
Source:
Nordquist, Richard. “The Principle of Least Effort: Definition and Examples of Zipf’s Law.” ThoughtCo, Feb. 11, 2020, thoughtco.com/principle-of-least-effort-zipfs-law-1691104.
Settlements can be described as being part of the urban hierarchy. Where they stand on the hierarchy depends on many factors, the main ones being population, the number of services a settlement has and its sphere of influence. The best way to show the urban hierarchy is by using a pyramid, as shown in the diagram later.
The most obvious way of deciding where a settlement ranks on the urban hierarchy is by using the population of that settlement. The larger the population, the higher the settlement is placed on the hierarchy.
In the UK, the largest city in terms of population is London, which most people would agree is the most important settlement in the country and so deserves to be placed on the top of the urban hierarchy for the UK.
After that, the division between what is classified in each layer is a bit vague. Different sources will have different numbers for how many people are needed for a place to be called a city rather than a town for instance.
However, the most important thing to notice on the diagram is that as you go up the hierarchy, there becomes a lot less of that type of settlement. So, the diagram shows us that there are huge numbers of isolated farmhouses and hamlets. There are fewer villages and small towns and so on.
In the UK, many people would argue that only London should be placed in the highest rung of the triangle. However, some other large cities, such as Birmingham, Manchester, and Leeds are growing fast and may be considered to have reached the top level as well.

Services are things such as retailers(shops), professionals (doctors, lawyers, etc), entertainment, government functions, and leisure. The theory goes that the larger a settlement is, and therefore the higher it is on the urban hierarchy, the more services and functions it will have.
In general, in the UK, this is the case. London is the settlement at the top of the urban hierarchy, and it has the greatest number of services and functions of any settlement in the country. For instance, it has the major international airports, it is the seat of our national government, it has the widest range of shops, including very special ones, and it has the most renowned professional services. This is because its population is large enough to support all of the services.
A small village may on the other hand only have the population to support a pub, post office, village store and perhaps a small garage.

Villages and other rural settlements have found over the last 20 years that it has been increasingly hard for services to remain viable in these settlements. Small post offices and banks have frequently been closed down, as there are simply not enough people using them to make them viable.
The number of services and functions that a town provides normally relates to the number of people living there.
There are, however, two noted anomalies. These are examples of settlements that do not conform to the general pattern, and they are explained below:
Anomaly A: A Tourist town: Towns, such as Brighton, Blackpool, and Eastbourne, that have grown due to the tourist industry, often have more services than their population suggests they should have. This is because many of their services are catering to the huge numbers of tourists who flood into the towns during the summer months. Hotels, guesthouses, restaurants, beach shops and ice cream stalls all are aimed to provide services for the tourists.
The extra tourist numbers swell the total population during the summer to a level that is more appropriate for the number of services provided.
Anomaly B: A Commuter Settlement: Many rural villages are becoming commuter centers, where people live, but work elsewhere. Many villages and towns around the London area fulfill this function.
Commuter settlements have a large resident population, but as very few of them actually work in the village, there is nobody to support any services. The commuters will do their shopping and banking in the city where they work. This means that these settlements will have fewer services than their population suggests they should have. Some commuter settlements are changing their services to cater to the different residents, with restaurants and cafes replacing the traditional village services.
The sphere of influence of a settlement describes the area that is served by a settlement, for a particular function. Its sphere of influence for different functions may cover vastly different areas. For instance, a supermarket may attract people from a 20-mile radius, whilst a leisure activity, such as going to the theatre may attract them from far further away.
The larger a settlement is the greater its sphere of influence is likely to be, as it has a wider range of services and functions to attract people to go there. This is shown in the diagram below. A small village may only have a village store selling daily newspapers and food such as bread and milk. People will only travel the shortest distance they need to buy these products. They are described as being convenience goods. In other words, something that you can buy easily and for the same price all over the place.
A larger town would have a wider sphere of influence because it would have shops and services that are more specialist, and so people would be willing to travel further to use them. An example might be a furniture shop. This sells comparison goods, in other words, products that you might shop around for before going ahead and buying something.

There are two major ideas to consider when looking at the sphere of influence of a shop of service. These are called the range and threshold population of a good.
The range of a good or service describes the maximum distance that someone would be willing to travel to obtain that good or service. A newspaper shop has a small range because people will not travel far to use them. A cinema has a much wider range as people are prepared to travel much further to go to it.
The threshold population of a good or service is the minimum number of people needed to allow that shop or service to be successful. The more specialist a shop is the larger its threshold population is.
A newsagent will have a small threshold, whereas a supermarket like Tesco needs a much larger population before it can consider opening a store.
Difference between Service and Function
is that function is what something does or is used for while service is an event in which an entity takes the responsibility that something desirable happens on the behalf of another entity or service can be service tree.
is that function is to have a function while service is to serve.
Tourism and tourist show spatial affinity. Tourists tend to be attracted to some regions from antiquity.
There are four major sets of factors affecting spatial affinity:
Units of Consideration-Regions
Accommodation
The distribution of accommodation is the most widely used measure in the tourist industry. Accommodation statistics tend to be used mainly to indicate spatial variations in the importance of tourism or to identify regions of different type of tourist activity.
Attractions
To find appropriate explanations, one has to examine the complexities of tourist behavior, drawing power of major attractions, professional efforts by respective state governments, the approach of Central government towards states, the status of infrastructural networks including connectivity and overall socio-economic development.
Economic Impact of Tourism
Over the past six decades, a continued expansion can be observed in the tourism sector, becoming one of the largest and fastest-growing economic sectors in the world, according to the data provided by UNWTO (2016): almost 1.200 million international arrivals of tourists were observed in 2015, while this number was only 25 million in 1950. Although the American continent and the Asia-Pacific regions have registered higher growth rates in the last few years, Europe is still the continent accommodating the highest number of international travelers in the world. Two European countries (France and Spain) rank among the 4 largest destinations, from the point of view of both the number of visitors and the revenues generated by tourism.
Nevertheless, the importance of Europe in the context of global tourism is higher when we consider the number of international travelers (51% of the international arrivals worldwide) rather than the revenues obtained (36%). With much fewer travelers, the Asia-Pacific region (24% of the global volume of international arrivals) achieves a similar revenue compared to Europe (33%), while the American continent registers 24% of the global tourism revenues (receiving only 16% of the international travelers)
Tourists
Tourists have a special spatial affinity for some places, for example, India has fascinated the travelers from the time immemorial. Perhaps the early travelers to India were the trading Persians. Evidence of caravans from Persia visiting India lies engraved in the inscriptions dating to the Persian King Darius. During the rule of Guptas, there was free access to the ports along with western coast~ seaborne commerce with Europe through Egypt was yet another reason for travel in and around the country. There was enough evidence of cultural exchanges between Persia and Chandra Gupta Maurya.
Space, Geography and Tourism
the human activities, focusing on both tourist generating and tourist-receiving areas as well as the links between them. ”
The spatial study can be undertaken at a variety of scales;