Trends of Spatio-Temporal Changes and Growth of Kolkata City, India: - - PDF document

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Trends of Spatio-Temporal Changes and Growth of Kolkata City, India: Evidences from Geospatial Analysis

Dinabandhu Mahata1, Ambarish Kumar Rai2 & Dr. Pralip Kumar Narzary3

• M. Phil. Student 1, PhD Research Scholar 2& Associate Professor 3

International Institute for Population Sciences, Mumbai – 400088 Email: dinabandhumahata1991@gmail.com, ambarish.k.rai@gmail.com & pralipkn@gmail.com “Cities have the capability of providing something for everybody, only because, and only when, they are created by everybody.”

• Jane Jacobs

The Death and Life of Great American Cities

• 1. Introduction:

In the present era, the growth of urban centres is a multidimensional spatial and population

• process. Cities and urban settlements have considered as centres of population focus owing to

they are specific economic and social features, which produce a vital component in the development of human societies (Dadras, Shafri, & Ahmad, 2015). Urban development is the process of emergence of the world dominated by cities and by urban values. To understand the distinction between the urban growth and urbanisation is crucial, because of the two most important processes of urban development. The urban growth is a process of spatial and demographic increment and the importance of towns and cities as a central accumulation of population within that particular economy and society. It occurs due to the transformation of the rural population living in primarily hamlet and village to the predominantly town and city

• dwelling. While, urbanisation, on the other hand, is a spatial and social process which refers

to the changes in behaviour and social relationships that occur in social dimensions as a result

• f people living in towns and cities. Mostly, it refers to the complex change of lifestyles

which follow from the impact of cities on society (Bhatta, Saraswati, & Bandyopadhyay, 2010). Urbanisation is the process and demographic explosion due to the rural-urban migration, expansion of the government services and Industrial revolution. The evidence of past two centuries shown the growth and development of the major cities and under these conditions the spatial influence and the growth of the space. In the most cases, over the passing of time, the functional structure has changed in rural regions and corresponding to that the changes come under the pattern of life of dwellers and resultant to that changes in the formation of new urban areas (Clark, 1982). Historically, urbanisation and rapid growth in cities first occurred in Western Europe, America, and Japan but has spread in the latter part of this century throughout Asia, South America, and Africa. Urban growth at the global scale shows no sign of slowing and is a phenomenon even in nations where population growth has stabilised (Clark, 2008). In India, rapid urbanisation began to accelerate after independence due to country divide, mixed economy and rapid growth of private sector. The level of urbanisation rapidly increased during the year 2001-2011. In 2001, India had 286 million of the urban population which shares of 28.6 percent of total and in 2011, it raised a level of 377 million of the population that holds the part of 31.18 percent of total and it was the first time

• f rapid urbanisation in India since the independence. At the state level, the urbanisation is

very diverse due to the economic advantage, like as southern states including Maharashtra,

Gujarat, Punjab, Haryana and West Bengal have a high level of urbanisation than that of the national average. In West Bengal, a large number of new town emerged due to the rural- urban classification 2011. The port city of Kolkata whose urban growth and land use pattern is a sign of colonial

• legacy. According to National Atlas Thematic Mapping Organisation (NATMO), the growth
• f Kolkata city has been divided into three-time phases as before 1793, 1793 to 1856 and

after 1856. Letter on, many changes also have been occurred during the independence after the division of India into Two nations: India and Pakistan. Then East Bengal becomes the part of the Pakistan as East Pakistan. Letter on, in 1973 the East Pakistan becomes the independent country like Bangladesh. After the division, the Jute raw material producing regions become the part of East Pakistan while the Industries remain in Kolkata region of West Bengal. During the time, Bengal, especially Kolkata region were very well known for their jute industries, and it was the reason, most of the migration from surrounding regions and states have seen into Kolkata for the search of employment. This industrial development needs a kind of specific age-sex population for particular employment and industrial set up, and huge numbers of in-migration have influenced the city into a different and distinct demographic structure. This demographic demand has also affected the dwelling and other daily based economic activity requirements, and finally, it shaped the morphological structure

• f Kolkata city and responsible for the urban growth of Kolkata and much rapid urbanisation
• f its catchment area, especially the rural-urban fringe. Determining urban growth and the

spatial pattern from the remote sensing data is a prevalent approach and has a long history and geographic information system has a wide application of the urban analysis. However, this study deals with the trend and pattern of urban growth, demographic change and

• ccupational change in the Kolkata city. Urban growth has analysed the both as well as the

pattern of urban land use and population change over the time. In the studies of contemporary urban regions, the spatial integration and dynamicity of urban growth are most significant

• issues. In the last few years, several studies had covered with regard to distribution of

population and their social systems with context to urbanization (Batty and Howes, 2001; Belkina, 2007; Herold et al., 2002; Martinuzzi et al., 2007; Rafiee et al., 2009; Yanos, 2007; Yeh and Li, 2001; Taha, 2014). Many relevant pieces of literature showing that it could be deduced that the ever-increasing rise in the urban land use has various ramifications. Furthermore, the literature review indicates that the concentration of diverse population is

• ne of the compelling factors of urban growth. Although, in many aspects of the process, the

growth has been uncontrolled and dispersed, which constitutes a substantial obstacle to the process of sustainable regional development? Therefore, in the analysis of the growth of cities, both the pattern and process of development are considered, to easily afford an advanced understanding of the rapidly changing urban landscape. In the recent past, the use

• f GIS techniques with well equipped Of remote sensing data has been increasing research

attention and also for retrieval methods for intelligent navigation, mapping as well as simulation modelling of growth of urban. These methods have used with a great range for the identification of land use changes as well as the expansion and development of urban regions identified as cities and towns (Deng et al., 2009; Pathan et al., 1991; Angel et al., 2005; Bhatta, 2010; Batisani and Yarnal, 2009; ). The GIS can analyse the remote sensing data generated from multi-agent data evaluation techniques (Fotheringham and Wegener, 2000;

Alberti, 2005; Shahi et al., 2015). This advance spatial analytical methods could make projections for the time of future using, the current and past information by collation of phenomenon of interest data. Moreover, to determine urban growth rate and spatial configuration, the use of photogrammetric and satellite data is reported to be so common by using various statistical parameters of gauging a city’s development process (Donnay et al., 2001; Herold et al., 2005; Wang et al., 2003; Landis and Zhang, 2000). Statistical models employed for the accuracy and to check the error levels which has significantly improved in the analysis, and that can be used as a quality benchmark in urban studies (Griffith, 1988). Due to the importance of spatial data and for the estimation and measurement in urban- related research, the statistical model based on the analysis of spatial data, for the estimation and measurement of urban growth, have been extensively utilised by researchers. For example, Pa´ ez and Scott (2004) developed the methods for practically generating the confluence of urban analysis and statistical spatial models. In the same fashion, the work includes analysis of the distribution and dispersion of human populations in various residences local, regional, and trans-regional competitions in economic activities the development of infrastructures, transportation and network traffic (Portugali et al., 1997; Benati, 1997; Batty and Xie, 1997). The general growth of the city regarding per capita and density as well as dynamicity of prospects, as well as the allocation of urban land for various purposes (Clarke et al., 1997; Pendall, 1999; Batisani and Yarnal, 2009; Batty and Howes, 2001). Kolkata is the one of the oldest city of West Bengal. Due to being the primate city, it has a particular characteristic of the population and urban morphology, and that had changed over the time concerning its pull forces and the power of population inflow for fulfilling their social, economic and dwelling needs. Now a day’s city is the characterised by the

• widespread. A large number of immigrant and daily influx population were commuting on a

daily basis those also used the urban services. The Kolkata city has gone through an economic crisis, employment, Traffic congestion, the housing problem, creates urban heat islands increasing air pollution and the problem of water supply and drainage problem. Kolkata city morphology must be the influence of urban function as well as the changes of demography, socio-economic status of the city dweller. After the independence, the growth rate of urbanisation, as well as the new urban centres in India, has a takes place very rapidly. Hence, for an older format of any urban region, there is a need to revise as the current need and population and economic characteristics. So for the city like Kolkata, has many fold challenges to sustain all the urban services for its people. Since, after the Making of Bangladesh as an independent country from East Pakistan, most of the Bangladeshi people are in migrating to Kolkata, legally as well as the illegal way and hence they were also created a lot of pressure to the infrastructure of the Kolkata. So, there is a need to understand the changes in urban resident population and its characteristics, along with its economic need regarding jobs and employment also for its catchments regions and make it much services

• riented to fulfil the opportunity of livelihood. With this, the major aim of the study is to

analyse the city sprawl concerning spatiotemporal changes in land use of Kolkata city with changing the economic and demographic characteristics of the city dwellers. .

• 2. Objectives:

The major aim of the study is to understand the economic activity changes with respect to the demographic changes and its impact sprawl of land use transformation in peri-urban region of Kolkata Metropolitan city. Therefore, the specific objectives of the study are:

• 1. To analyse the trend and pattern of demographic changes in Kolkata city,
• 2. To understand the occupational structure change in Kolkata city, and,
• 3. To analyse the Spatio-temporal changes in urban growth of Kolkata city.

3 . Methods and Materials Study Area: Kolkata city is the study area which is located in the eastern part of the India. It is the one of the oldest city of India. The city has a life of more than 300 year old and it was once the capital of India during the British governance until 28th December 1911 after that the capital had shifted to Delhi. The administration area of Kolkata is combination of several government agencies and it consists of overlapping structural divisions. There are mainly three layer divisions have available in the city:

• a. Kolkata Central Business District: Hosts the core central part of the city it and contains

24 wards of the Municipal Corporation (MC).

• b. Kolkata City: It contains the central part of the city including 141 wards of KMC and

Four spatial Charges.

• c. Kolkata Metropolitan Area (KMA): Kolkata Metropolitan Area is consists of three

Municipal Corporations (Kolkata, Howrah and Chandannagar), 38 independent municipalities, 77 towns and 445 villages. Table 1: Composition of Kolkata Metropolitan Area (KMA) Categories of area Numbers Area in sq. km Municipal corporation 3 271.31 Municipalities 38 615.49 Non municipal urban/census towns 77 200.1 Outgrowths 16 18.19 Rural area 445 746.32 Total KMA 1851.41

Source: Website of Jawaharlal Nehru National Urban Renewal Mission (JNNURM), Ministry of Urban Development. (http://jnnurm.nic.in/nurmudweb/toolkit/KolkataCdp/CH-I1-17.pdf)

Geographical Location: This city under the jurisdiction of Kolkata Metropolitan Corporation (KMC) has an area of 185 sq. km (2011). It is located between 220 28' N & 220 58' N Latitude and 880 10' E & 880 27' E Longitude. It has spread roughly north south along the east bank of river Hooghly. The city elevation is 1.5-9.0 m. The city has administratively divided into 15 Boroughs and 141 wards.

Table 2: Boroughs and Their Associated Wards of Kolkata City as on 23 July 2010 Borough No Associated Wards Borough No Associated Wards 1 1-9 9 74-80, 82-83, 88 2 10-12, 15-20 10 81, 89, 91-100 3 13-14, 29-35 11 101-102, 110-114 4 21-28, 38,-39 12 103-109 5 36-37, 40-45, 48-50 13 115-123 6 46-47, 51-55, 60-62 14 124-132 7 56-59, 63-64, 66-67 15 133-141 8 65, 68-73, 84-87, 90

Note: Kolkata City 141 Ward and 4 Special Charges* (Fort, Canals, Port sea going Vassels, Port sea going Vassels)

According to the census 2011, Kolkata city total population was 44,96,694 and out of which 23,56,766 males & 21,39,928 females. Among these total population, about 1.5 million were the slum population that account for 32.40% of the total population of the city. The sex Ratio was 908 female per 1000 males which was much lower than the national average. Data Sources The study has used multiple data sources to fulfil the needs of objectives. Following are the details of data sources that have been used to execute the study. Topographical Map: Calcutta Toposheet (Refer to this map as: NF 45-7 series U502) Source: The University of Texas at Austin, University of Texas Libraries: India and Pakistan Toposheet 1:250000. www.lib.utexas.edu/maps/ams/india/ Satellite image: the following Satellite Image were used for the study purposes:  LANDSAT-MSS image (path 148, row 44) of 18 October 1972.  LANDSAT-TM image (path 138, row 44) of 24 March 1992.  LANDSAT-ETM+ image (path138, row 44) of 22 October 2002.  LANDSAT OLI-8 image (path138, row 44) of 22 April 2014. Source: United States Geological Survey http://earthexplorer.usgs.gov/ Population, Economic and Demographic Characteristics: Census of India data (Socio- cultural table and Economic Table) and state reports of West Bengal was used for the study. Methodology Statistical Analysis: For the census data of 2001 to 2011 of Kolkata, the trend analysis has been done to represent the growth of population over last century and first decade of 21st

• century. For analyse the employment status of Kolkata Municipal Corporation (KMC), the

census data of 1971 to 2011 has used to show the trend of working status of male and female

• both. Dependency ratio has been also calculated for the same periods.

• Fig. 1: Methodological workflow for the study

Geospatial Analysis: It was representing that the Spatio-temporal changes of the Kolkata city

• f the different time period. The study has been carried out with the help of ARC GIS (10.2)

and ERDAS (2014) Software. The list of data used in this study subsequent processing including layer stake, Georeferencing and supervised classification. Four satellite images were classified and supervised classification method in the ERDAS imagine (2014) software. By the use of Google earth software collected Kolkata actual location latitude and longitude and demarcation of the Kolkata boundary.

• 4. Result

Urban Population: the table 3 shows the urbanization trends of India, West Bengal and Kolkata Metropolitan Area and the Kolkata City. Since the city is the region which contains the urbanized population while the Metropolitan Area may contains the rural fringe as well. So KMA is showing the a few amounts of non-urban population but the trends shown that it is moving towards the completeness of urbanized population.

Table 3: Percentage of Urban Population, Census of India, 1971-2011 Region 1971 1981 1991 2001 2011 India 19.87 23.73 26.1 27.78 31.16 West Bengal 24.75 26.47 27.5 27.97 31.87 KMA 92.83 92.44 91.72 91.25 93.12 Kolkata City 100 100 100 100 100

Trends of Population in Kolkata City: table 4 shown the trends of urban growth and development of Kolkata city from 1901 to the current Census of 2011. It also highlighted the geographical expansion and demographic changes over the period of more than a century. The area of the city has been become more than two folds over the last century while during the same period the population has grown about its 400%. The massive change in sex ratio

• ver the same period was also found due to demographic composition changes due to in-

migration of females and gradually increment in the female work participation in workforce population. Table 4: Geo-Demographic profile of Kolkata City* in 1901-2011, Census of India.

Year Status

• f city

Area in

• Sq. Km

Population Density Male Female Total Sex Ratio Growth Rate** 1901 M NA NA 657464 352389 1009853 536

• 1911

M 82.9 13489 739862 378104 1117966 511 10.7 1921 M 54.4 21300 770807 387690 1158497 503 3.6 1931 M 85.5 15087 867481 421980 1289461 486 11.3 1941 M 87.3 26952 1600541 751858 2352399 470 82.4 1951 M 73.4 40279 1855953 1100522 2956475 593 25.7 1961(a) MC 103.0 32536 2056328 1294922 3351250 630 13.4 1971 MC 104.0 35837 2242106 1484914 3727020 662 11.2 1981 MC 104.0 39681 2370868 1755978 4126846 741 10.7 1991(b) MC 185.0 23783 2445328 1954491 4399819 799 6.6 2001 MC 185.0 24718 2500040 2072836 4572876 829 3.7 2011 MC 185.0 24306 2356766 2139928 4496694 908

• 1.7

*South suburban municipality, garden rich municipality and Jadavpur municipality were merged with Calcutta

(mc) in 1984. The population of Calcutta have been recasted since 1901 accordingly a. Include the area and population of Kolkata (mc)and other 4 special charges (Fort, Canals, Port sea going Vassels, Port sea going Vassels)

• b. denote the area figures as supplied by the surveyor general for Calcutta

NA: Not Available **Decadal Growth Rate of Kolkata city, 1901-2011

The figure 2 illustrated the trend of male, female and total population growth over the period

• f 1901 to 2011. The graph clearly shown that there was a very minimal change in population

from 1901 to 1931 and after third decades of 19th century, the growth was very rapid. The gap among male female also diminished over the period and hence, the sex ratio found towards favourable from each previous decades. After 1991, the population became stagnant and up to 2011, the male female difference was much low and the sex ratio reported was 908 although that was much lower than the state average.

• Fig. 2: Trends of Population in Kolkata, Census of India, 1901-2011

Trends of Decadal Growth Rate of Kolkata City: the figure 3 represented that decadal growth rate of population of Kolkata city from 1901 to 2011. It has seen that, after 1931 in 1941 there was a vast increment in growth rate of city’s population and again in next decade this came down as very steeply in 1951. This decline was accessed due to the division of India into two nations. This declining was continued up to the negative growth rate (-1.7%) in the recent decade of 2011.

• Fig. 3: Trends of Decadal Growth Rate of Population in Kolkata City, Census of India, 1901-2011

Trends of Age-Sex Structure of Kolkata City: Figure 4 illustrated the age-sex structure of Kolkata city from 1971 to 2011. The trend of graph shown that population has shifted from early ages to the working age population, and the age of 60+ population was also increased with time.

500 1000 1500 2000 2500 3000 3500 4000 4500 5000

1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001 2011 Population ('000) Year

Trend of Population in Kolkata City, 1901-2011, Census of India

Male Female Total

• 5

5 15 25 35 45 55 65 75 85 95 1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001 2011

G r

• w

t h R a t e

Census Years

Decadal Growth Rate (%) of Kolkata City, 1901-2011

• Fig. 4: Age-Sex Structure of Kolkata City, Census of India, 1901-2011

Female population has been increased over the time and in 1981 onwards the gap becomes much narrow among male and female specially in working age population. This also characterised the increasing the population of women in the city either for working purposes

• r education through the in-migration. This city has a high Percentage of female population

in the age group 0-19 and working age group of male population was high compared to the female population. The city population shown that the older age group of 65+ female’s population was high after 1991. In 2011, Census data shown that the age group of 20-39, the female population was higher than the male population. Trends of Employment Status of Kolkata City: Figure 5 shown that the trends of employment status of male and female from 1981 to 2011 for the city. The graph clearly illustrated that although the male employment status were much higher over the considered period but we observed a trend of declination, while the female were getting much involved in employment with faster rate. By the working type, there was huge difference in male and

• female. In one hand, 80-90% of male were engaged as main worker, while in females, this

main working participation was much lower and over the time, the increment was in between 10-20%. More than 60% of women were classified under non-working group.

• Fig. 5 Trend of occupational change in Kolkata city, 1981-2011, Census of India

Trends of Occupational Structure of Kolkata City: The table 5 shown the trends of

• ccupational structure of the Kolkata city from 1971 to 2011 Census years. In terms of the

sectoral distribution of jobs in the Kolkata city, like livestock, forestry, fishing, mining and quarrying sector, the population engagement were very less and not much participation were recorded except few addition in female. It was found that in male, in the category of other than household industry, the participation has decline from about 28% to 18%. While in females, there was a massive growth occurred in the household industry from 1971 to 2011 as about one percent to 3.2 percent, although this participation was very small. In other services, male participation was increased. While in females were increasing trend of participation in the Trade and Commerce related industries. Overall, for male and female both, the

10 20 30 40 50 60 70 80 90 100

1981 1991 2001 2011 Workers (%) Years Male Workers for Kolkata City

Main Workers Marginal Workers Non Workers

10 20 30 40 50 60 70

1981 1991 2001 2011 Workers (%) Years

Female Workers for Kolkata City

Main Workers Marginal Workers Non Workers

participation in construction work were increased over this period. In females, except transport storage & communication and other services, the work participation has increased. In this city construction sector male work participation was 2.5% in 1971 and in 2001 it become almost near to double 4.5%. Subsequently female work participation in the same sector was slowly increasing as in 1971 it was only 0.6% and up to 2001 it went to 1.4%. Table 5: Trends of Occupational Structure in Kolkata city, Census of India, 1971-2001 Male (%) Female (%)

Workers 1971 1981 1991 2001 1971 1981 1991 2001 Livestock, Forestry, Fishing 0.4 0.5 0.5 0.4 0.1 0.1 0.2 0.3 Mining and Quarrying 0.0 0.0 0.2 0.2 0.0 0.0 0.1 0.1 Household Industry 0.6 1.7 0.5 2.5 0.9 2.2 0.6 3.2 Other Than HH Industry 28.3 29.9 27.7 18.4 9.0 8.7 10.6 9.9 Construction 2.5 2.8 3.6 4.5 0.6 0.8 1.0 1.4 Trade & Commerce 30.4 29.8 31.8 26.6 7.6 8.7 10.1 9.8 Transport storage & Communication 14.2 13.8 12.3 11.9 3.5 3.6 3.3 2.9 Other Services 23.5 21.4 23.4 35.5 78.3 75.9 74.1 72.5

In the year 2001, male and female working population in other than household sector has decreased with respect of previous years. In trade and commerce sector, both male and female population, there were found a decreasing pattern over the time period due in the city region developed the Multinational shopping complex and the city centre. According to the census classification of other services sector, female working population were very high, because in this sector major female population were engaged in community social and personal services like as health and medical services rendered by organisations and individuals such as hospitals dispensaries, nursing homes, maternal and child welfare clinics by Allopathic, Ayurvedic, Unani, homeopathic, etc and community services such as religious services rendered by organisation or individual service sector. And many women are engaged in the personal services like as domestic services, tailoring, hair dressing and beauty shops. Male-Female Activity Rate: The graph has shown that the trends of the economic activity rate by sex of Kolkata city.

• Fig. 6: Male-Female Activity Rate, Census of India

50.0 55.0 60.0 65.0 70.0 75.0 1971 1981 1991 2001 2011

Male & Female activity Rate(%)

Year Male Activity Rates Female Activity Rate

Results shown that in early of 70s there was a wide gap among the male-female activity rate and this become narrow over the time. Since the male activity rate was about constant and had found a slight declining trends while the female participation was increased over the same time and in 2011 it become similar to their counterparts. In 1971, in female, economic activity rate was about 58% and in 2011 it increased up to the level of 70%, while in the male there was no much positive changes had found. 1981 was the decade, when the female activity rate was suddenly increased and in male, afterwards found slightly declining trends. Trends of Age Structure of Kolkata City: According to the census data, in the city, child population was decreasing over the time period 1971 to 2011. In this period of 40 years, child population has decreased by 10.3% and the working population of 15-59 years age group has increased by 3.7%. There was increased trends found in older population (60+) too and it became more than two folds over the period of forty years. Table 6a: Different age Group Population in Kolkata city Census of India

Age Group 1971 1981 1991 2001 2011

0-14 29.3 26.3 25.2 21.9 19.0 15-59 65.5 67.6 67.5 68.1 69.2 60+ 5.2 6.1 7.4 9.9 11.8 Dependency Ratio of Kolkata City: The total dependency ratio of the Kolkata city was 52.8% in 1971. The Kolkata city had shown a decreasing trend of the total dependency ratio

• ver the time period because there were increases of the working population and to decrease
• f the child population. The decreasing trends of the young dependency ratio was observed

because of the fertility rate was the below replacement level of Kolkata city. Although, the

• ld age dependency ratio has increased over this span. It was because the old age population

has increased over the time period. The city had experienced that, within this time period, (40 years) old age population has increased by about two folds. Table: 6b. Dependency Ratio in Kolkata city, Census of India

Dependency Ratio 1971 1981 1991 2001 2011 Total Dependency Ratio 52.8 47.9 48.2 46.7 44.5 Young Dependency Ratio 44.8 38.9 37.3 32.2 27.4 Old Age Dependency Ratio 8.0 9.0 10.9 14.6 17.1

Spatio-Temporal Changes Of Urban Growth: The spatial growth of Kolkata city was not followed under of any planning model. In the study, the spatial growth has observed by using the remote sensing data and geo information system that in the earlier year of 1951, the urban area was 23.06% and it increased in 2014 up to 52.32%. Present study captured the spatial growth in between 1951 to 2014. The spatio-temporal change of the city were influencing to the people to accrete of the better facility and better opportunity in the city. Kolkata city was an oldest city of west Bengal. Historically, the function of city was much better than the other

• cities. In the time of independence, huge number of refugee had settled in the city to the

places where the land was available. The people from the East Pakistan (Bangladesh) and

neighbouring state and districts continue in migrate and to contributed to the growth of the

• settlement. The external and internal factors play a major important role of the growth of the
• city. The city functions were a major factor and that contributed in the growth of Kolkata
• city. Kolkata’s urban structure has been changed over the time period. A large number of
• rganisations like public and private were occupied the urban periphery directly and

indirectly and changes the scenario of urban land development, housing development and management of the Kolkata city. In 1912 Kolkata Improvement Trust (KIT) had started

• peration with a programme of development of urban infrastructure of the city of Kolkata in

terms of the Kolkata Improvement Act, 1911 (K.I. Act). This administrative board was a kind

• f integration and used for quick implementation of the various urban development projects

within the city. Table 7: Agencies Responsible For Urban Land Development and Management Type of Function Organisation Urban Development & Planning Policy Framework and Guideline Housing and Urban Development Department Directorate of Town Planning Land Record Office of the Tahasildar Land Registration Office of The Sub Registration(Land Registration) Infrastructure Development Road and Building Department Public Health Department Kolkata Municipality Corporation Tele-Communalisation WB State Electricity Board Land & Housing Development Kolkata Improvement Trust Kolkata Metropolitan Development Authority Kolkata Land and Housing Development Corporation Housing and Urban Development Corporation Planning & Development Control Kolkata Metropolitan Development Authority (KMDA) In 1961 the Kolkata metropolitan planning organisation, the first of its kind of developmental authority was set up through a resolution of the development and planning department to development of the comprehensive development plan for the metropolis of Kolkata. In the late sixties Hooghly River bridge commissioners was set up the under the HRBC Act.1969 for the purpose of construction of the third bridge across the river Hooghly. Subsequently in 1966 Kolkata metropolitan water and sanitation authority, and again in 1970, Kolkata Metropolitan Development Authority (KMDA) was established for implementation

• f the large scale urban infrastructure development.

The Growth of Kolkata City Fig.7: Urban Scenario of Kolkata City, 1951, Spatial occurrence of urban growth (a) Toposheet (1:250,000) and (b) Urban Land Use

• Fig. 8a: Spatial occurrence of urban growth, (a) Satellite Image (60 m) and (b) Urban land

use, 1972

• Fig. 8b: Spatial occurrence of urban growth (a) Satellite Image (30 m) and (b) Urban Land

Use, 1992

• Fig. 8c: Spatial occurrence of urban growth (a) Satellite Image (15 m) and (b) Urban Land

Use, 2002

• Fig. 8d: Spatial occurrence of urban growth (a) Satellite Image (15 m) and (b) Urban Land

Use, 2014

• Fig. 9: Spatial-Temporal Growth of Kolkata City, 195-2014

Table 8: Description of land use type in Kolkata city

Land use type Description Urban Settlement Including urban Residential, industrial and institutional areas, roads and other manmade structures. Vegetation/Garden/Park Including, garden, park and natural vegetation. Agricultural/Fello Land Including agriculture, open space, other than built up area. River/Lake/Water Body Including pond, lake, reservoir and other water body.

Table 9: Land Use Classification Scheme, Percentage of Land Use Pattern in Kolkata city

Land Use Pattern 1972 1992 2002 2014 Urban Settlement 25.1 34.7 58.5 63.0 Vegetation/Garden/Park 10.1 6.0 23.9 2.8 Agricultural/Fellow Land 59.6 57.4 15.2 33.4 River/lake/Water Body 5.2 1.9 2.4 0.9

Result revealed that among the changes of Kolkata city increase of the build up area and rapidly decreased of the agricultural and water body. It changes of the landscape of the city. The Spatio-temporal changes of Kolkata city and influenced by the expansion of the build up

• area. During the study period (1951-2014) build up area expansion vary rapidly in 1951 build

up area (23.2%), 1972 urban build up area (25.1%) and 2014 increased (63%), it is not properly planning. Remote sensing data provide of the green space or vegetation area. In 1972 city has a green space or vegetation (10.1%) and over the time period vegetation cover is decreased. At the result of their air pollution rate is very high and urban heat is increasing in the day time. In the city region many pond and lake are diminished due to the development

• f new settlement. In The year 1972 city have a water body (5.2%) and now a day’s total

water body (0.9%).

• Fig. 10: Land Use Changes in Kolkata city, 1972-2014

0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 1972 1992 2002 2014 G r

• w

t h r a t e Year Urban settlement Vegetation/Garden/Park Agricultural/Felloland River/lake/Waterbody

Land Use Pattern (%)

• 5. Conclusion

The study shown that, with changes in demographic and economic characteristics of any urban population, the land use changes comes spontaneously. Over the era of a century, the first urban region of India, Kolkata has changed dramatically, not only its potential boundary, but all the process of population growth with the respect of economic and social changes. Due the emergence of new urban center like Mumbai and Delhi (NCR), in the terms of employment and livelihood opportunity, the flow and magnitude of migration has

• diminished. Most of these changes have been occurred after 1970s. This study not only

explores the Spatio-temporal changes in the Kolkata city but also analyse the demographic and economic activity changes. The spatial analyse shows that the Kolkata urban growth vary rapidly and spatial growth of North, East, South East and North South Portion of the city. A significant finding the city has the growing up the build up area in 1972 to 2014. The result of the spatial analysis of the urban growth and population growth is the main causes of the city provide availability of basic and essential urban amenities, job facility. This city is a main business hub as well the state capital of the West Bengal. Besides being a very popular tourist destination of Kolkata city like as Victoria Memorials, Kalighat Kali temple, Indian Museum, Dakhshinaswar kali temple, Eden garden Maidan, Howrah Bridge and Marble Places, it also plays a very strategic role of tourism industry. In general the study find out the by the help of remote sensing data the city build up area is very rapidly increase, there are only 6% Transport road and there rapidly decline of the open space, green space and water bodies. Result revealed that among the changes of Kolkata city increase of the build up area and rapidly decreased of the agricultural and water body. It changes of the landscape of the city. The Spatio-temporal changes of Kolkata city and influenced by the expansion of the build up area. REFERENCES Alberti, M., 2005. The effects of urban patterns on ecosystem function. Int. Reg. Sci. Rev. 28 (2), 168–192. Angel, S., Sheppard, S.C., Civco, D.L., 2005. The dynamics of Global Urban Expansion. Available from. Washington D.C.: Transport and Urban Development Department, The World Bank. <http:// www.citiesalliance.org/doc/resources/upgrading/urban- expansion/ worldbank reportsept2005.pdf p. 200/>. Batisani, N., Yarnal, B., 2009. Urban expansion in centre county, Pennsylvania: spatial dynamics and landscape transformations. Appl. Geogr. 29 (2), 235–249. Batty, M., Howes, D., 2001. Predicting temporal patterns in urban development from remote

• imagery. In: Donnay, J.P., Barnsley, M.J., Longley, P.A. (Eds.), Remote Sensing and

Urban Analysis. Taylor & Francis, London, pp. 185–204. Batty, M., Xie, Y., 1997. Possible urban automata. Environ. Plann. B 24, 175–192. Belkina, T.D., 2007. Diagnosing urban development by an indicator system. Stud. Russ.

• Econ. Dev. 18 (2), 162–170.

Benati, S., 1997. A cellular automaton for the simulation of competitive location. Environ.

• Plann. B. 24, 205–218.

Bhatta, B., 2010. Analysis of Urban Growth and Sprawl from Remote Sensing Data. Springer-Verlag, Berlin, Heidelberg. Bhatta, B., Saraswati, S., & Bandyopadhyay, D. (2010). Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data.Applied Geography, 30(1), 96–111. http://doi.org/10.1016/j.apgeog.2009.08.001 Clark, D. (1982). Urban geography: An introductory guide. Taylor & Francis. p. 231. Clarke, K.C., Hoppen, S., Gaydos, L., 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environ. Plann. B. 24, 247–261. Dadras, M., Shafri, H. Z. M., & Ahmad, N. (2015). Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city , Iran. The Egyptian Journal of Remote Sensing and SpaceSciences,18(1),35–52. http://doi.org/10.1016/j.ejrs.2015.03.005 Deng, J., Wang, K., Hong, Y., Jia, G., 2009. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape Urban

• Plann. 92, 187–198.

Donnay, J.P., Barnsley, M.J., Longley, P.A., 2001. Remote sensing and urban analysis. In: Donnay, J.P., Barnsley, M.J., Longley, P.A. (Eds.), Remote Sensing and Urban

• Analysis. Taylor and Francis, London and New York, pp. 3–18.

Fotheringham, A.S., Wegener, M., 2000. Spatial Models and GIS: New Potential and New

• Models. Taylor and Francis, London, p. 279.

Griffith, D.A., 1988. Advanced Spatial Statistics: Special Topics in the Exploration of Quantitative Spatial Data Series. Kluwer, Dordrecht. Herold, M., Clarke, K.C., Scepan, J., 2002. Remote sensing and landscape metrics to describe structures and changes in urban land use. Environ. Plann. A. 34 (8), 1443–1458. Herold,M., Hemphill, J., Dietzel, C.,Clarke, K.C., 2005. Remote sensing derived mapping to support urban growth theory. Tempe, AZ, USA, March 14–16, 2005. Available from: Proceedings of the ISPRS joint conference 3rd International Symposium Remote Sensing and Data Fusion Over UrbanAreas, and 5th International SymposiumRemote Sensing

• f

Urban Areas (URS 2005). <www.isprs.org/commission8/ workshop_urban/herold_hemphill_etal.pdf/>. Landis, J., Zhang, M., 2000. Using GIS to improve urban activity and forecasting models: three examples. In: Fotheringham, A.S., Wegener, M. (Eds.), Spatial Models and GIS: New Potential and New Models. Taylor and Francis, London, pp. 63–81. Martinuzzi, S., Gould, W.A., Gonzalez, O.M.R., 2007. Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data. Landscape Urban Plann. 79, 288–297. Pa´ ez, A., Scott, D.M., 2004. Spatial statistics for urban analysis: a review of techniques with

• examples. Geo J. 61, 53–67.

Pathan, S.K., Shukla, V.K., Patel, R.G., Mehta, K.S., 1991. Urban land-use mapping: a case study of Ahmedabad city and its environs. J. Indian. Soc. Remote Sens. 19 (2), 95– 112. Pendall, R., 1999. Do land-use controls cause sprawl, Environ. Plann. B. 26 (4), 555–571. Portugali, J., Benenson, I., Omer, I., 1997. Spatial cognitive dissonance and sociospatial emergence in a self-organizing city. Environ. Plann. B. 24, 263–285.

Rafiee, R., Salman Mahiny, A., Khorasani, N., Darvishsefat, A., Danekar, A., 2009. Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM). Cities 26, 19–26. Shahi, K., Shafri, H.Z.M., Taherzadeh, E., Mansor, S., Muniandy, R., 2015. A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery.

• Egypt. J. Remote Sens. Space Sci. 18 (1), 27–33.

Taha, L.G., 2014. Assessment of urbanization encroachment over Al-Monib island using fuzzy post classification comparison and urbanization metrics. Egypt. J. Remote Sens. Space Sci. 17, 135– 147. Wang, W., Zhu, L., Wang, R., Shi, Y., 2003. Analysis on the spatial distribution variation characteristic of urban heat environmental quality and its mechanism – a case study of Hangzhou City. Chin. Geogr. Sci. 13 (1), 39–47. Yanos, P.T., 2007. Beyond ‘‘Landscapes of Despair’’: the need for new research on the urban environment, sprawl, and the community integration of persons with severe mental

• illness. Health Place 13, 672–676.

Yeh, A.G., Li, X., 2001. Measurement and monitoring of urban sprawl in a rapidly growing region using entropy, Photogramm. Eng. Remote Sens. 67, 83–90. *********