Food-borne pathogens and food poisoning in milk production source.
\r\n\t
",isbn:"978-1-80356-921-5",printIsbn:"978-1-80356-920-8",pdfIsbn:"978-1-80356-922-2",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"bdff63f3c5e98fc95d76217516cb1420",bookSignature:"Dr. Longbiao Li",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11817.jpg",keywords:"Next-Generation Polymer-Matrix Composites, Next-Generation Ceramic-Matrix Composites, Next-Generation Metal-Matrix Composites, Mechanical Properties, Tensile, Compression, Shear, Fracture, Durability, Creep, Damage Mechanisms, Oxidation",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 6th 2022",dateEndSecondStepPublish:"June 17th 2022",dateEndThirdStepPublish:"August 16th 2022",dateEndFourthStepPublish:"November 4th 2022",dateEndFifthStepPublish:"January 3rd 2023",remainingDaysToSecondStep:"24 days",secondStepPassed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"Lecturer at the Nanjing University of Aeronautics and Astronautics and author of 184 SCI journal publications, 8 monographs, 3 edited books, 3 textbooks, 3 book chapters, 30 Chinese Patents, 2 US Patents, 2 Chinese Software Copyrights, and more than 20 refereed conference proceedings.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"260011",title:"Dr.",name:"Longbiao",middleName:null,surname:"Li",slug:"longbiao-li",fullName:"Longbiao Li",profilePictureURL:"https://mts.intechopen.com/storage/users/260011/images/system/260011.jpg",biography:"Dr. Longbiao Li is a lecturer in the College of Civil Aviation at the Nanjing University of Aeronautics and Astronautics. Dr. Li’s research focuses on the vibration, fatigue, damage, fracture, reliability, safety and durability of aircraft and aero engine. In this research area, he is the first author of 184 SCI journal publications (49 JCR Q1), 8 monographs, 3 edited books, 3 textbooks, 3 book chapters, 30 Chinese Patents, 2 US Patents, 2 Chinese Software Copyright, and more than 20 refereed conference proceedings. 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Kawsar Alam",coverURL:"https://cdn.intechopen.com/books/images_new/6805.jpg",editedByType:"Edited by",editors:[{id:"199691",title:"Dr.",name:"Md. Kawsar",surname:"Alam",slug:"md.-kawsar-alam",fullName:"Md. Kawsar Alam"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"67214",title:"Microbial Contamination in Milk Quality and Health Risk of the Consumers of Raw Milk and Dairy Products",doi:"10.5772/intechopen.86182",slug:"microbial-contamination-in-milk-quality-and-health-risk-of-the-consumers-of-raw-milk-and-dairy-produ",body:'\nThe objective of the dairy industry is to maintain productivity and competitiveness in a growing milk commerce, which is demanding a large volume of milk and a wide range of dairy products in the food market and the preferences of the final food consumer with remarkable differences according to patterns of consumer behavior by demographic categories, culture, and socioeconomic variations in the human population in the food market [1, 2]. The consumers prefer a safe and healthy milk product selection, with a great variety and availability in the market. This fact affects the health and nutrition consumer’s information about the milk products made with raw milk [3, 4]. Milk is also an important source of bacterial infection for human health, when milk is consumed without pasteurization [5, 6, 7]. Milk is a basic food in the human diet with great value as a nutritious healthy food; in the first years of human life, milk and dairy products are an important nutritional fact in the diet of the adult population [8]. According to the sustainable production system, their main priorities are contributing to the regional social and economic development, land resource preservation, and animal welfare quality in dairy cattle husbandry maintaining a productive healthy cow herd to produce high milk quality [9]. The global responsibilities of the milk industry and big dairy farm and small holder producers are offering high-quality milk and safe dairy products in the commerce preventing food-borne diseases to spread in the population [10, 11].
\nThe milk market requires and offers safe and high-quality products, preventing a contamination source by good hygiene practices to reduce a possible exposure of food-borne pathogens and chemical milk residues. The mammary gland participates in the excretion of numerous xenobiotic substances from veterinary drug milk residues and contaminants originated from milk and other chemical residues to environmental pollutants on the grasslands, animal feedstuffs, and the field crops [12]. The presence of residual concentrations of milk contaminants and pathogens is an indicator of milk quality in cow dairy farms. In evaluating the raw milk bulk tank at the dairy farms, quick information about udder health status, environmental pathogens, milk chemical residues, and antibiotics is obtained [13, 14, 15, 16]. The relationship among dairy cow production and milk safety and dairy product quality is considered in different subjects: raw and pasteurized milk contamination and microbial aspects of the quality of milk and dairy products, cow husbandry in animal welfare influence, feeding conditions, and herd hygiene practices and milk composition. Also the environmental pollutants, and chemicals from agriculture, pesticides residues, drug veterinary residues and management in dairy production. Those relationships that exist in milk production are auditable and selectively regulated to prevent milk contaminants. The contaminants agents are tracking and monitored at milk parlor, in refrigerated milk tank and the milk bulk tank on platform by the application of proper sampling methods required in the Control Analytical Methods for milk quality in Dairy Industry Management assurance the food safety [17]. Are affecting milk production and dairy products related to food safety and milk quality [18]. In the phenomenon of the climatic change, the zoonosis and food-borne diseases are priorities in the public health programs in many countries, ones of the surveillance task is the diseases transmitted by raw milk, and unpasteurized fresh dairy products [19, 20]. The aflatoxin M1 contamination levels in milk appear to be a serious health hazard derivate from hepatotoxic and carcinogen effects of aflatoxin M1, which show a high risk on milk food safety. The milk contamination risk is established through the forages, corn and concentrated feeds; those are contaminated by aflatoxin B1 (AFB1). There is an aim to watch over the limit exposure to aflatoxins in dairy by imposing regulatory limits [21]. The presence of biotics from grazing cows and conserved pastures and feeding grains, like aflatoxins AFB1 and AFM2, has been usually monitored in milk [22]. In dairy production, an important practice is oriented to reduce environment fungal contamination and the proper conserving methods of silages, forages, and grains for animal feed [23]. The controlled grazing land is a relevant characteristic of the milk produced at grazing, was its richness in beta-carotene, lutein, vitamin E and sesquiterpenes among winter seasonal period monitored farms. These conditions should have a great influence on the physicochemical milk profile of raw milk bulk tank at dairy farm, in comparison with the milk of the producers with herds fed with diets rich in concentrate, corn silage, and pasture [24]. The silage is a significant source of contamination of raw milk with spores compared with grass and maize silage. Preventive management of outgrowth of aerobic spores in silage by the application of acid lactic bacteria or chemical additives can improve the silage fermentation; it will contribute to reduce the total spore load of raw milk for dairy process [25]. The microbial contamination of milk could be produced from sources of bacteria and fungi are identified in grassland and other feedstuffs. The health herd status will be implicated in specific zoonosis produced by animal carriers of
Mammary gland health status | \nCow herd health status | \nProduction environment | \nProduction land water source | \n
---|---|---|---|
(B-hemolytic | \n+ | \nHepatitis A virus* + + + + Aflatoxin M1 Mycotoxin B1 | \n
Food-borne pathogens and food poisoning in milk production source.
Occasionally
Involved in enteric diseases
The infectious bovine mastitis in milk production is considered a disease with high economic impact reducing milk yield and the industrial dairy process and food safety.
The surveillance of food-borne disease in primary purpose in the herd is to characterize potential pathogens which are recovered from animal, milk tank, milk pipelines, and milking equipment, including the man milkers and the production environments. The monitoring programs have been designed to determine the milk production process’ critical points, the health herd level, and control of animal risk for food-borne pathogens; a survey is oriented to cut the chain of disease and exposure routes to humans preventing milk and dairy product contamination [62, 63]. The surveillance of food-borne diseases usually is difficult to research an area for population monitoring. An outbreak survey of human gastrointestinal disease could be an epidemiological indicator of food-borne disease, which may be originated from drinking unpasteurized milk;
In human population raw milk and dairy products are often tangled up in food-borne disease outbreaks; occasionally pasteurized milk may be contaminated and lead to bacteria spoilage of milk and dairy product storage during the dairy processing with a potential health risk for the consumers [5]. The microbiological quality of dairy products reflects good hygienic practices during the dairy milking process; raw milk contamination may occur in diseased or infected cows with environmental bacteria [1]. In raw milk samples collected from the milk-producing areas tested for
Milk and dairy product quality is the consequence of all activities developed during the production process, from the farms to the transformation in the dairy industry [88, 89]. Cow’s milk contains the nutritional requirements necessary for the growth of the calf, since it is a source rich in lipids, proteins, amino acids, vitamins, and minerals, which added to its high activity of water (aw) and makes it an excellent matrix for the growth of a large number of spoilage microorganisms (Table 2) and pathogens for humans [90, 91]. Not so long ago, it was believed that the milk contained in the mammary gland was sterile and that the microorganisms isolated had their origin from external contamination. Nevertheless, this idea has been questioned due to the development of more sensitive molecular methods which suggests that there is colonization of a wide variety of microorganisms in the healthy mammary gland [92].
\nKind of defect | \nCause | \nRelated microorganism | \nReference | \n
---|---|---|---|
Pasteurized, sterilized, and UHT milk | \n|||
Precipitation when milk added to hot beverage (bitty cream) | \nActivity of phospholipases and proteinases and fat destabilization | \n[130] | \n|
Gelation | \nThermoresistant proteinases | \nPsychrotrophic bacteria (Gram-negative and Gram-positive): | \n[131, 132] | \n
Shorter shelf life | \nProteolytic and lipolytic activities | \n[130, 133] | \n|
Undesirable flavor: unclean, fruity, bitter, rancid, yeasty | \nHigh concentration of free fatty acids due to activity of thermostable lipases; protein hydrolysis due to activity of heat stabile proteinases | \n[130] | \n|
Increase of free fatty acids and casein hydrolyses, destabilizing the casein micelles (acid coagulation of milk) | \nProteolytic and lipolytic activities | \n[133]; [134]; [120] | \n|
Milk spoiling | \nBiofilm formation | \nConsortium of species | \n[135] | \n
Powder milk | \n|||
Shorter shelf life, rancidity, and bitterness | \nBacterial proteinases and lipases and increase of free fatty acid | \n[111] | \n|
Cheese | \n|||
Destabilization of the natural plasmin system of milk. Affect the quality of cheese, flavor and texture development, and reduce the yield of the curd | \nActivity of lipases and proteinases remain in curd that ongoing hydrological changes during ripening; cause spoilage of milk and dairy product. | \nPsychrotrophic spp. (>103 cfu mL−1) | \n[114, 136, 137] | \n
Change coagulation time and quality of curd (fragile and less compact) | \nHigher concentration of free amino acids (bacterial proteinases) which stimulates starter culture which growth. Longer coagulation time: higher concentration of free fatty acids (bacterial lipases) which inhibits starter culture growth | \n||
Undesirables flavor: rancid taste in hard cheeses (ripening) | \n[133, 138] | \n||
Lipases: free fatty acids increase | \n|||
Bitterness and off-flavors | \n\n | \n | [130] | \n
Fermented milks | \n|||
Changes of texture and flavor: more firm gel and higher viscosity, more pronounced syneresis | \n\n | Psychrotrophic | \n[139] | \n
Lipolytic changes (free fatty acid): atypical flavor as bitter, rancid, unclean, and fruity | \n[140] | \n||
Creams and butter | \n|||
Reduced shelf life Rancidity and off-flavor Fruity, bitterness, soapy | \nHigh concentration of lipases and proteinases in milk (cream) High concentration of free fatty acids (C4-C6; C110-C12) | \nPsychrotrophic | \n[141, 142] | \n
Principal causes and defects in milk and dairy products caused by spoilage microorganisms.
The microbial composition of milk is influenced by several different parameters such as, in the case of raw milk, the microorganisms present in the teat canal, on the surface of teat skin, in the surrounding air, and in feed as well as other environmental factors including housing conditions, the quality of the water supply, and equipment hygiene [93, 94, 95]. Moreover, the insufficient cold capacity and long storage times can also increase the bacterial count owing to the bacterial growth during milk storage [96]. Therefore, it is not always easy to determine the cause of a high bacterial count in raw milk; there are several parameters that can give an insight of the source of contamination [97].
\nBulk milk analysis is used by dairy industry, veterinarians, and milk producers as an indicator of quality [98]. Through a microbiological profile, it is possible to prevent and modify the possible contamination points. For this reason, the bacterial count of bulk milk is a useful tool for monitoring the environment hygiene, translating high values as negative effects on the quality of the pasteurized milk and milk products, reducing the shelf life and its sensory characteristics [99]. Regarding these indicators, the standard plate count (SPC) in milk represents those bacteria that grow between 30 and 35°C under aerobic conditions and is conformed mainly by bacteria coming from teat skin, feces, milker’s hands, equipment, soil, water, etc. [100]. Their importance is given by the fact that they reflect not only the hygienic quality of the raw milk but also the way in which the product was handled. The higher values of SPC indicate raw milk not suitable for consumption, poor handling practices in its elaboration, and an increased risk of the presence of pathogenic microorganisms. Additionally, this parameter reflects the efficiency of cleaning procedures and storage temperatures as well as the hygiene of the udders during milking [100]. With regard to dairy products, this parameter acquires remarkable importance particularly in the elaboration of cheeses, recommending low counts in order to minimize the alteration of the composition of the milk and the final yield obtained [101]. According to the regulations of the European Union, the dairy farms remittent to processing plants of these products must have bacterial counts below 100,000 cfu/mL [102].
\nIn relation to the factors of variation in SPC, there are several studies supporting that the seasonal effect is of great significance in the production of quality milk in terms of hygiene [103]. A work in raw milk from Canada [104] determined that high bacterial counts in summer and spring are related to higher room temperatures that favor the rapid bacterial multiplication. The whole routine of milking, from the pre-sealed and post-sealed to the implementation and maintenance of practices of cleaning and disinfection of dairy equipment, has a great influence in the improvement of milk quality, although for counts below 50,000 cfu/mL, the major factor is hygiene [105].
\nOn the other hand, the rapid cooling of milk and the maintenance of its coldness for prolonged periods stimulate the growth of psychrotrophic bacteria, modifying the native microbiota in favor of Gram-negative ones in approximately more than 90% of the total population [99, 106].
With regard to other aspects of quality, such as the suitability of milk for the production of dairy products, psychrotrophs have a significant negative effect on yields and in the reduction of their shelf life [112]. When coming from the environment, psychrotrophs are also considered indicators of the hygienic quality of milk [108]. In some countries its count is used as a complement to the bacterial count to determine the quality of the milk and is of special interest when the milk will be subjected to certain technological processes. For example, the regulatory limits for hygienic quality in the Czech Republic are set at ≤100,000 cfu/mL of bacterial count and ≤50,000 cfu/mL of psychrotrophs [113]. Furthermore, in the case where milk is used in technological processes, the requirements increase using the limits set by the EU of <30,000 cfu/mL for bacterial counts and <5000 cfu/mL for psychrotrophs [102]. In Scotland, an average of 130.000 cfu/mL psychrotrophs in silos of dairy industries from which 70.2% were
In terms of food safety, the pasteurizing milk was established as a necessary step for the consumption of fluid milk and other dairy products [115, 116]. In spite of that, this procedure applied in dairy industries for the elimination of pathogenic microorganisms does not completely inactivate all microorganisms, even in the most severe thermal treatments. For instance, some bacteria like thermoduric bacteria resist milk pasteurization. Also, the spores highly resistant to heat can survive the ultrahigh temperature (UHT) process and even to the processes of spray-drying persisting in pasteurized powders [116, 117]. For these reasons, the Food and Drug Administration (FDA) in the USA declared the thermoduric, thermophilic, psychrotrophic, and spore-forming bacteria as the microorganisms with the highest risk of spoilage in dairy products [118]. The thermoduric count is used as an indicator of sanitization of equipment in the industry and establishments [99], being the ideal ranges those between 100 and 200 cfu/mL [119]. Of this group,
Therefore, psychrotrophs and thermodurics are of great importance in the quality of the milk that will be industrialized, mainly due to its effects on the composition. The lipolytic and proteolytic enzymes that they produce cause deterioration during the storage of milk and dairy products [107]. Moreover, studies suggest that these proteases found in raw milk are produced by psychrotrophic bacteria, especially of the genus
In summary, milk and milk products provide favorable conditions for the growth of various microorganisms. These include groups capable of growing at refrigeration temperatures, withstanding heat treatments and producing heat-resistant enzymes, which are responsible for the deterioration and reduction of the shelf life of milk and by-products. The effectiveness in the control of these microorganisms is a critical challenge for the dairy industry, and its relevance has been discussed in this chapter.
\nThe paper remarks the importance among the milk production and food safety, closely related in the assurance of the milk quality and the prevention of milk spoilage. The dairy industry management programs as for food safety, the milk quality and the dairy products. Preventing the microbial and chemical contamination. The food-borne diseases in public health programs are a priority in the surveillance of milk food-borne diseases by the monitoring of food-borne pathogens and the microbial contamination in milk products. Actually dairy farms are compromised to reduce the milk contamination source from udder and the dairy cow herd health status and the production environment, by hygiene practices in the cow herd management and good milk conserving in the raw milk bulk tank. The food hygiene protocols are fundament for to reduce the microbial contamination of the raw milk and pasteurized milk, regarding the health risk by the microbial pathogens in the food borne diseases and bacterial spoilage, source of deteriorating dairy products and milk. The microbial quality of foods is required for the traceability in dairy products industry. Consumers education programs and practices of good handling of foods, could be reduce the exposure to food borne pathogens and the consumption of unsafe food products. The traceability of milk and dairy products, from the production-distribution chain food and the consumption is a good policy for to the assurance the quality and to reduce the public health risks.
\nWe appreciate the selfless and participatory collaboration of the authors in the preparation and communication of the book chapter.
\nThe authors declare that there is no conflict of interest in the participation and collaboration in the elaboration of this work and its divulgation.
China has undergone rapid urban development with its national urbanisation rate surging from 10.6% in 1949 to 56.1% in 2015 [1]. As a result, urban population across the nation has increased by 10.81 million per annum in the period. Personal income, the principal economic driver of private vehicle ownership [2], has remained on a double-digit1 high-growth trajectory in most of China since 2001. Urban population growth and economic growth have thus led to growth in private ownership of passenger cars (see Figure 1).2 Besides these factors, administrative guidance and political imperatives have also significantly affected the level of automobile ownership in China [3]. However the question in this paper is whether car use is continuing to rise in key cities or whether it is following the trend in developed cities to decouple this from economic growth.
Private ownership of passenger cars per 1000 people in China (unit) and its annual growth rate (%) from 1995 to 2014. Source: Compiled based on data provided by [
Chinese cities, along with their respective provinces, have increased in car ownership over recent years and now provincially range in car ownership from a meagre 70 per 1000 persons in Gansu up to 209 per 1000 in Beijing (2017 data), with a national average of 122 per 1000 persons (see Figure 2).3 This national level of car ownership is less than countries such as Swaziland, El Salvador, Honduras, Guyana and Azerbaijan [5]. These levels are nowhere near the car ownership levels found in cities in more developed countries. For example, in 2005–2006, privately owned cars averaged 640, 647, 522 and 463 cars per 1000 persons in American, Australian, Canadian and European cities respectively [6]. Even between China’s two most significant cities, Shanghai and Beijing, the difference is very large (113 compared to 209 cars per 1000 persons, respectively), partly due to Shanghai having implemented car management policies4 from 1994.
Private ownership of passenger cars per 1000 people across China in 2017 (unit). Source: Compiled based on data provided by [
Thus Chinese provinces and cities, even during what could be called a rampant period of motorisation, had by 2017 not even come close to car ownership rates in more automobile-dependent regions and were even less nationally than in some significantly less developed countries.
Added to this perspective, we now find that recent car ownership growth rates are falling. The question to be addressed in this paper is therefore whether a decline in car use and a structural change is starting to occur in Beijing and Shanghai, like in many developed cities. The paper begins by examining some trends of car use in Beijing and Shanghai. It then tries to explain the reasons why car use is beginning to decline and why this could be happening at an earlier stage of economic development than in developed cities.
Beijing, like all Chinese cities, was dominated by bicycling in the twentieth century and as shown in Figure 3 had over 60% of daily trips by cycling in 1986, but this quickly was overtaken by a rapid growth in car use; these modes crossed in 2005, and from there a different story emerges that would have been expected in a rapidly emerging global city. Car use begins to plateau in the 2000s and starts declining since 2011. The growth trajectory that then takes over is transit as cycling continues to fall but then plateaus or rises slightly perhaps due to e-bikes as seen in the data below on Shanghai.
Model split of daily trips (excluding walking) in Beijing (1986–2014) (%). Source: Compiled based on data provided by [
The Beijing transit system is shown by mode in Figure 4. The dramatic growth after 2007 that has impacted so strongly on modal share with cars is the role of the metro that continues to grow significantly right through to the most recent data. Beijing was the first city in China to inaugurate metro rail into its transport infrastructure, with the first line opening in 1969 [9]. This development was further pursued and received a promotional boost leading up to the 2008 Olympic Games held in Beijing [10]. The metro has been expanded ever since and has been embraced by the residents of Beijing with a daily patronage of around 9 million using the fast, high-quality system. This follows the rapid expansion of Beijing’s metro system from an operational length of 142 km in 2007 to 555 km by 2015. Beijing’s metro is now the second largest after Shanghai (588 km) in China [11, 12]. The metro has become a significant transport mode, though the traditional bus is still the predominant travel choice of public transport. As this is measured in boardings, it would be more favourable to the metro if passenger kilometres were used as bus trips tend to be shorter.
Share of annual patronage by different public transit modes in Beijing from 1998 to 2017(%). Source: Compiled based on data provided by [
Shanghai transport data are different to Beijing as they include walking as well as e-bikes besides bicycling in the modal split as set out in Figure 5. But like Beijing, Shanghai was dominated by walking and non-motorized (bicycles and e-bikes) transport in the twentieth century with over 70% of daily trips by these modes in the 1980s and 1990s. However, as in Beijing, the twenty-first century has seen a dramatic drop in these modes as car use began to grow in Shanghai. Then a plateau in car use began in the 2000s and by 2010 had peaked at less than 20% of daily trips (even lower than the 34% in Beijing). Again it would appear that transit has stemmed this car growth, though nonmotorised transport has had more growth in the latest data as well. More interesting, e-bikes have replaced bicycles as the dominant nonmotorised transport modes in China, which was well-known as the “Bicycle Kingdom” in the middle of 1980s. The actual bicycle use per day in Shanghai has decreased 70% from 2009 to 2014, while there is a sharp increase in actual use of electric bicycles by 68% during the same period.
Modal split of daily trips by different transport modes in the whole city of Shanghai from 1986 to 2010 (%). Source: Compiled based on data provided by [
Figure 6 sets out the transit data by mode in Shanghai; this again indicates the dramatic growth of the metro.5 From the 1970s through to the beginning of the 1980s, the trolley bus and bus were the main transit modes in Shanghai. The Shanghai metro began in 1993 but was quite small until it was extended for the 2010 Shanghai World Expo. It is now the world’s largest rapid transit system by route length and second largest by number of stations with 14 lines and 364 stations and a total length of 588 km. On an average workday, it carries 10 million passengers, while the record patronage was 11.3 million on April 1, 2016.
Share of annual patronage by different public transit modes in Shanghai from 1995 to 2015 (%). Source: Compiled based on data provided by [
While private vehicle ownership in both Beijing and Shanghai is still increasing, actual automobile use as measured by modal split has in fact started declining since around 2011. Beijing went further along the automobile path than Shanghai, but both turned dramatically once a quality metro alternative was provided. Shanghai also continues to have a very high walking and nonmotorised component in its transport system (over 50% of daily trips). Both Beijing and Shanghai have much less private motorisation than would have been expected due to their rapid growth in income like other developed cities in Canada, Australia and America.
Economic factors can play a more significant role in determining automobile ownership compared to actual usage due to differences in land use intensity [18]. However, most models for car use growth still assume it is driven by economic growth, especially in developing economies. Unlike automobile ownership, the actual need for automobile use has been shown to have decoupled from the financial capacity to pay for it; for example, the amount of car driving per unit of real gross domestic product (GDP) significantly declined between 1995 and 2005 in a large sample of world cities [19, 20]. Taking Beijing as an example, Figure 7, which depicts the number of passenger cars per 1000 permanent residents, a continuous growth trend is evident in tandem with the ever-increasing per capita GDP at Beijing municipal level. However, the level of private automobile use grows to the inflexion point in 2010 and then starts dropping, despite a continuing improvement in the urban economic performance of Beijing. Furthermore in Beijing, personal income generally decreases from the city centre to the city fringe, whereas the use of the automobile increases in the opposite way. This suggests other factors than economic drivers as set out in other studies [6]. In this paper we will examine cultural, political and urban fabrics as the decoupling seems to have set in well before other cities in terms of GDP levels.
Comparison of per capita GDP and per capita VKT in Beijing from 2002 to 2016. Source: Compiled based on data provided by [
Wealth increases have certainly led to higher levels of car use in most cities over the past 100 years, but the decline in car use setting in needs further explanation. One of the other factors would appear to be a cultural and political intervention that makes other modes more attractive. The increase in public transport in Beijing was made possible largely through the priority, which the government placed on bus and train infrastructure development. This occurred at both a local and national level in accordance with the central government’s 12th Five-Year Plan (FYP) (2011–2015). As part of this shift away from the automobile, transportation demand management (TDM) initiatives were also introduced in an effort to further curb the ownership and use of private automobiles across China. These included:
Restrictions on the operation of private automobiles on certain days throughout the 2008 Olympic Games, based on licence plate end numbers
Limitations on the number of driving licences made available to the public, a process initiated in 2010
Since 2011, termination of three pro-car policies designed to help overcome the 2008 global financial crisis (GFC).
As a result of these initiatives, automobile modal split in Beijing plateaued in 2010 before starting a downward trend. This is despite an increase in private automobile ownership in Beijing which would have had the potential to counteract this fall. However, research has shown that for many Chinese urban residents, the automobile is seen more as a status symbol than an efficient means of daily transport. The new options now available would appear to be saving time compared to the highly congested road system and the decision to not build more freeways but instead to provide a better public transport option [11].
Chinese cities have been historically high in density [23] and as will be shown below have been increasing in density. Urban form factors are likely therefore to be a strong explanatory factor in why both Beijing and Shanghai started declining in car use well before they were expected to do so due to usual predictions from income growth.
The low-rise, high-density blocks, which characterise China’s traditional way of building local neighbourhoods6 rather than the western-style low-density and single-family detached houses, facilitate the walking-scale environments typical of Chinese cities. In particular, the mixture of residential, commercial and recreational land use within these traditional Chinese communities provides local shops, small public spaces (squares or playgrounds) and other community services. It enables these local areas to cater for their daily necessities within walking distance. The close proximity generated by the short blocks also shortens the pedestrian distance [24]. Finally, this type of urban form helps to facilitate and operate more efficient public transport for these communities. The urban density of the whole city of Beijing and Shanghai is around 50 and 70 persons per hectare in 2005, similar to some European cities and much higher than typical automobile-dependent cities in Canada, Australia and America [25].
As well as the organic density of traditional cities, there has been a long commitment to planning the city into a central square and linear corridor. This is known as the imperial-centred and axisymmetric urban form, which is affected by the
When this road structure is combined with high density and mixed land uses, as it is in China, it means that the major parts of Chinese cities were fundamentally walking and transit city fabrics [6] and became an entrenched part of how cities were built in the Chinese cultural and political landscape. Automobile fabric only develops where a new kind of urban form is sought further out from the fabric already there and at considerably lower densities. This did not happen very much in China; instead, the city fabrics from the walking and transit eras were rebuilt at much higher density and followed the same corridor-based form into new areas.
The socialist welfare-oriented housing within walking or cycling distances of work was provided by state-owned sectors under the traditional employment system (the so-called Dan Wei in Chinese) during the period of the planned economy in China. However, the end of this system of nearby housing provision, which came with the 1978 reform and open-up process, largely destroyed what was quite a tight job-housing balance and increased the frequency and distance of the journey to work. However, they did not at any stage build urban fabric that was automobile dependent but continued to build dense, high-rise-based corridors of urban fabric.
Chinese villages, towns and cities have always been very dense. There are various theories about why density is accepted in some cultures and not others, for example, Anglo-Saxon culture has a long history of anti-density tradition which has been passed on to New World cities [6]. The theories about density in Chinese cities suggest it is a combination of their:
Military history: The need to have walled cities for security meant that a more urban culture became essential.
Religion: Confucianism has a strong emphasis on community responsibilities that build networks of close dependence within and between families.
Economy: The reality of Chinese economic history is that they have built very big centres of economic wealth based on trading textiles, handicrafts and cultural activity that could only work efficiently if it was intensively conducted.
Together these theories suggest that the Chinese economy depended on these big cities that were made of traditional walking city fabric, highly dense and mixed for many centuries, rather than being a set of low-density rural villages based around agriculture.
These various traditions and planning paradigms have resulted in the typical Chinese urban form. The central city of both Beijing and Shanghai is still a very dense urban environment of close to 250 persons per ha (characteristic of walking city fabric). The whole city, together with all its other component parts, is also getting denser despite the “urban sprawl” in outlying areas. The urban density of the whole city is more than 50 persons/ha, which is typical of European transit-oriented regions. The old walking city centres and the transit-oriented linear form of urban development together with dense land use patterns facilitate the development of public transport systems as well as walking and cycling in Beijing and Shanghai. However, especially in the superdense city centres where there is continuous rebuilding at higher densities, these areas are becoming more and more unsuitable for cars but at the same time are beyond the affordability of most citizens.
This is not just an issue in Chinese cities as the revival of the walking and transit city fabric in most developed cities is also associated with major issues surrounding equity. The newer urban areas in outlying areas created in the last 20 years to provide more affordable housing are more automobile dependent but are still nothing like the sprawling suburbs of American and Australian cities. These areas in Chinese cities are well served now by fast metro systems as well as having considerably more local services and work; however, they are clearly going to have more car use than the traditional areas and will need to find new ways of dealing with this. For example, the lowest densities are the outer suburbs in Beijing, but even here these are above 25 persons/ha, which is the high end of auto city fabric. These areas do not go down to typical auto city densities of 7–20 persons/ha or so, but they will still need to continue to minimise such areas if they are to keep reducing their car use.
The same kind of urban fabric can be found in both cities examined; the key differences were much higher urban density in some districts of the central city and a more walkable form of urban development in Shanghai compared to Beijing. The urban density of both central cities is similarly more than 200 persons/ha. However, the urban density of the whole city and suburb areas is higher in Shanghai than in Beijing. This is perhaps due to Beijing’s scattered urban areas around the ring roads. Some districts of the central city of Shanghai are superdense with more than 600 persons/ha urban density (like Huangpu, Luwan, Jing’an and Hongkou), while the highest urban density in Beijing is around 300 persons/ha. Shanghai’s superdense urban form results in the dominance of walking and nonmotorised transport modes in the whole city.
Beijing and Shanghai are the two most representative cities in China in terms of their political, economic and cultural influences so it is very significant that both are now indicating a peak in car use has happened. This coincides with major investments in public transport that have provided an option surpassing many car use patterns. This has happened despite increasing economic growth and car ownership growth. To explain this needs an understanding of the fabrics that define the city and which are expressions of the cultural and political history of China. Both cities feature Chinese traditional urban fabrics of walking centres with transit linear corridors all with dense, mixed land use patterns that favour public transport and walking and cycling. They can both be termed “emerging transit metropolises” as opposed to the mature transit metropolises such as London and Paris [27]. These areas are also where the major job growth and urban activity are focused and thus private vehicle use has decoupled from wealth and has now peaked in terms of modal split. This paper suggests that this is strongly affected by their walking and transit urban fabrics, which are not built for much car use. More than likely the response will be to continue the peak car use trend and enable Chinese cities to become more and more a model for any other emerging cities that are trying to face up to a future with less automobile dominance in their cities.
This document was produced with the financial support of the Department of Education of Henan Province (Project No. 20B630021) and Zhengzhou University (Project No. 32220525).
The authors declare no conflict of interests.
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It represents the integration of tools already used in the past (big data, cloud, robot, 3D printing, simulation, etc.) that are now connected into a global network by transmitting digital data. The implementation of this new paradigm represents a huge change for companies, which are faced with big investments. In order to benefit from the opportunities offered by the smart revolution, companies must have the prerequisites needed to withstand changes generated by “smart” system. In addition, new workers who face the world of work 4.0 must have new skills in automation, digitization, and information technology, without forgetting soft skills. 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Two hundred years ago, industrial revolution in the west has transformed or evolved from mechanical production driven or powered by water, and to date, we are in an era characterised by cyber physical systems. This transformation or industrial revolution has been driven by humans using creative minds to solve problems that were confronted. The Industrial 1.0 Revolution around 1700 AD, mass production was carried out by mechanical production powered by water (steam engines), which was labour intensive. The more manpower an industrial organisation has, the more goods and services would be produced, though this could take long to reach the market but that was the industrial system at that time. From mechanical production powered by steam engines between 1700s and 1800s to the second Industrial Revolution mass production powered by electricity between 1800s and 1900s to the third Industrial Revolution powered by electronic and IT automation and finally to Industry 4.0 Revolution cyber systems in 2000 and beyond, human capital has generated innovative solutions to human problems more than ever before. 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Therefore, problems and their solutions also change. The industrial revolution which realized in the eighteenth century had some important impacts not only on the economic life but also on social structure. It was aimed to solve social problems and ensure prosperity through social policies, which is a multidisciplinary field, and consequently, the concept of welfare state emerged. The states, which had liberal concerns and traditional protection functions and reached a powerful position with their internationalist approaches, underwent a transformation period because of the economic and social developments which took place in the last quarter of the twentieth century. It has been subject of criticism that states increased the social expenses to satisfy the social needs and therefore caused an economic crisis in this period when the effects of globalization were discussed. 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The stabilization programs proposed by the IMF led to government guarantee of private sector external debts in the developing countries and led to a rapid increase in the public debt stock.",book:{id:"7598",slug:"public-economics-and-finance",title:"Public Economics and Finance",fullTitle:"Public Economics and Finance"},signatures:"Sibel Aybarç",authors:[{id:"286689",title:"Dr.",name:"Sibel",middleName:null,surname:"Aybarç",slug:"sibel-aybarc",fullName:"Sibel Aybarç"}]},{id:"58010",title:"Fourth Industrial Revolution: Current Practices, Challenges, and Opportunities",slug:"fourth-industrial-revolution-current-practices-challenges-and-opportunities",totalDownloads:6296,totalCrossrefCites:41,totalDimensionsCites:66,abstract:"The globalization and the competitiveness are forcing companies to rethink and to innovate their production processes following the so-called Industry 4.0 paradigm. It represents the integration of tools already used in the past (big data, cloud, robot, 3D printing, simulation, etc.) that are now connected into a global network by transmitting digital data. The implementation of this new paradigm represents a huge change for companies, which are faced with big investments. In order to benefit from the opportunities offered by the smart revolution, companies must have the prerequisites needed to withstand changes generated by “smart” system. In addition, new workers who face the world of work 4.0 must have new skills in automation, digitization, and information technology, without forgetting soft skills. This chapter aims to present the main good practices, challenges, and opportunities related to Industry 4.0 paradigm.",book:{id:"6291",slug:"digital-transformation-in-smart-manufacturing",title:"Digital Transformation in Smart Manufacturing",fullTitle:"Digital Transformation in Smart Manufacturing"},signatures:"Antonella Petrillo, Fabio De Felice, Raffaele Cioffi and Federico\nZomparelli",authors:[{id:"161682",title:"Prof.",name:"Fabio",middleName:null,surname:"De Felice",slug:"fabio-de-felice",fullName:"Fabio De Felice"},{id:"181603",title:"Dr.",name:"Antonella",middleName:null,surname:"Petrillo",slug:"antonella-petrillo",fullName:"Antonella Petrillo"},{id:"205141",title:"Dr.",name:"Federico",middleName:null,surname:"Zomparelli",slug:"federico-zomparelli",fullName:"Federico Zomparelli"},{id:"208748",title:"Dr.",name:"Raffaele",middleName:null,surname:"Cioffi",slug:"raffaele-cioffi",fullName:"Raffaele Cioffi"}]},{id:"63402",title:"Decentralized Territorial Communities and Implementation of Public Policies: The Case of Cameroon",slug:"decentralized-territorial-communities-and-implementation-of-public-policies-the-case-of-cameroon",totalDownloads:1281,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Cameroon’s Constitutional Law of 18 January 1996 enshrined decentralization as a fundamental principle of the organization of state governance, and subsequent implementing legislation affirms the central government’s commitment to transferring a number of powers to local authorities with a view to local management. Local and regional authorities then appear as an essential link in the implementation of public policies at the local level. Their genuine autonomy in financial and administrative matters is a necessary condition for achieving local development objectives. However, a review of the existing literature reveals that these communities do not have real autonomy in public policy decision-making, which is illustrated by mixed development at the local level.",book:{id:"7598",slug:"public-economics-and-finance",title:"Public Economics and Finance",fullTitle:"Public Economics and Finance"},signatures:"Guy Yakana Yombi, Mounton Chouaïbou and Lucie Yakana Agoume",authors:[{id:"257106",title:"Mr.",name:"Guy",middleName:null,surname:"Yakana Yombi",slug:"guy-yakana-yombi",fullName:"Guy Yakana Yombi"},{id:"267660",title:"MSc.",name:"Mounton",middleName:null,surname:"Chouaïbou",slug:"mounton-chouaibou",fullName:"Mounton Chouaïbou"},{id:"267661",title:"MSc.",name:"Yakana Agoume",middleName:null,surname:"Lucie",slug:"yakana-agoume-lucie",fullName:"Yakana Agoume Lucie"}]},{id:"58030",title:"Manufacturing Transformation toward Mass Customization and Personalization in the Traditional Food Industry",slug:"manufacturing-transformation-toward-mass-customization-and-personalization-in-the-traditional-food-i",totalDownloads:1576,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Digital transformation of the manufacturing process in high-tech has been underway for a long time. On the other hand, the transformation in low-tech and traditional industries progresses more slowly. Especially, the human factor is greater in the food manufacturing industry, which retains many more labor-intensive elements. This is because the development of foods was traditionally customized to the cultures of particular regions, so many foods were not suitable for mass production, which has led to the high level of personal skills. However, new trends have been shown recently in the sake manufacturing industry. Head craftsmen at a sake brewery, known as Toji, have managed the entirety of the manufacturing process and determined the length and timing of each process for hundreds of years. In these circumstances, some sake breweries have started to make sake in a new way that breaks with tradition. They implement smart manufacturing and customization to respond to diversified customer needs without altering the product price through the digitization of the manufacturing process and the formalization of personal skills. 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