Residential Development Dynamics in Port Harcourt Metropolis: Implication for Efficient Urban Planning

Similar documents
URBAN CHANGE DETECTION OF LAHORE (PAKISTAN) USING A TIME SERIES OF SATELLITE IMAGES SINCE 1972

Forecasting the Future Pattern of Land Use and Land Cover Change in the Wetland Ecosystem of the Port-Harcourt Metropolis

Mapping and Spatial Characterisation of Major Urban Centres in Parts of South Eastern Nigeria with Nigeriasat-1 Imagery

THE REVISION OF 1:50000 TOPOGRAPHIC MAP OF ONITSHA METROPOLIS, ANAMBRA STATE, NIGERIA USING NIGERIASAT-1 IMAGERY

Urban Expansion of the City Kolkata since last 25 years using Remote Sensing

How has Population Growth and Demand for Housing Affected Land Use in Port Harcourt, Nigeria

1. Introduction. Chaithanya, V.V. 1, Binoy, B.V. 2, Vinod, T.R. 2. Publication Date: 8 April DOI: /cloud.ijarsg.

Understanding and Measuring Urban Expansion

Abstract: About the Author:

Investigation of the Effect of Transportation Network on Urban Growth by Using Satellite Images and Geographic Information Systems

VISUALIZATION URBAN SPATIAL GROWTH OF DESERT CITIES FROM SATELLITE IMAGERY: A PRELIMINARY STUDY

Operational Definitions of Urban, Rural and Urban Agglomeration for Monitoring Human Settlements

The Challenges of Sustainable Land Use Planning In Nigerian Cities The Case of Port Harcourt

Analysis of Landuse, Landcover Change and Urban Expansion in Akure, Nigeria (pp )

7.1 INTRODUCTION 7.2 OBJECTIVE

Progress and Land-Use Characteristics of Urban Sprawl in Busan Metropolitan City using Remote sensing and GIS

Assessment of Spatial Urban Dynamics in Enugu City Using GIS and Remote Sensing

Using Geographic Information Systems and Remote Sensing Technology to Analyze Land Use Change in Harbin, China from 2005 to 2015

The National Spatial Strategy

Assessment of Urban Conurbation along the Development Corridor of Abuja-Keffi, Nigeria

STUDY OF NORMALIZED DIFFERENCE BUILT-UP (NDBI) INDEX IN AUTOMATICALLY MAPPING URBAN AREAS FROM LANDSAT TM IMAGERY

Quick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data

An Internet-based Agricultural Land Use Trends Visualization System (AgLuT)

CHANGES IN VIJAYAWADA CITY BY REMOTE SENSING AND GIS

Detection of Land Use and Land Cover Change around Eti-Osa Coastal Zone, Lagos State, Nigeria using Remote Sensing and GIS

APPLICATION OF LAND CHANGE MODELER FOR PREDICTION OF FUTURE LAND USE LAND COVER A CASE STUDY OF VIJAYAWADA CITY

MAPPING LAND USE/ LAND COVER OF WEST GODAVARI DISTRICT USING NDVI TECHNIQUES AND GIS Anusha. B 1, Sridhar. P 2

SPATIO-TEMPORAL ANALYSIS OF URBAN POPULATION GROWTH AND DISTRIBUTION IN AURANGABAD CITY

Analysis of Future Urban Growth Scenario of Damaturu Town in Yobe State, Nigeria

Urbanisation Dynamics in West Africa AFRICAPOLIS I, 2015 UPDATE

AP Human Geography Free Response Questions Categorized

TOWARDS STRATEGIC SPATIAL PLANNING IN JAMAICA: THE NATIONAL SPATIAL PLAN

Exemplar for Internal Achievement Standard. Geography Level 2

Module 3 Indicator Land Consumption Rate to Population Growth Rate

INDIANA ACADEMIC STANDARDS FOR SOCIAL STUDIES, WORLD GEOGRAPHY. PAGE(S) WHERE TAUGHT (If submission is not a book, cite appropriate location(s))

SPIMA Spatial dynamics and strategic planning in metropolitan areas

West meets East: Monitoring and modeling urbanization in China Land Cover-Land Use Change Program Science Team Meeting April 3, 2012

Discerning sprawl factors of Shiraz city and how to make it livable

Land Use/Land Cover Mapping in and around South Chennai Using Remote Sensing and GIS Techniques ABSTRACT

A Method for Mapping Settlement Area Boundaries in the Greater Golden Horseshoe

Use of Corona, Landsat TM, Spot 5 images to assess 40 years of land use/cover changes in Cavusbasi

Spatiotemporal Analysis of Noida, Greater Noida and Surrounding Areas (India) Using Remote Sensing and GIS Approaches

Urban Expansion and Loss of Agricultural Land: A Remote Sensing Based Study of Shirpur City, Maharashtra

Welcome to GCSE Geography. Where will it take us today?

Land Use Changes in Haryana Sub-Region of Chandigarh Periphery Controlled Area: A Spatio- Temporal Study

Urban Growth Analysis: Calculating Metrics to Quantify Urban Sprawl

Unit 8 Settlement Geography: Urban and Rural, Cities and City Life

Monitoring of Forest Cover Change in Sundarban mangrove forest using Remote sensing and GIS

Dynamic Expansion and Urbanization of Greater Cairo Metropolis, Egypt Ahmed Abdelhalim M. Hassan

APPLICATION OF REMOTE SENSING IN LAND USE CHANGE PATTERN IN DA NANG CITY, VIETNAM

Application of Remote Sensing Techniques for Change Detection in Land Use/ Land Cover of Ratnagiri District, Maharashtra

Spatio-temporal dynamics of the urban fringe landscapes

Urban Area Delineation Using Pattern Recognition Technique

Too Close for Comfort

Dr.Sinisa Vukicevic Dr. Robert Summers

AP Human Geography Free-response Questions

Valuation of environmental amenities in urban land price: A case study in the Ulaanbaatar city, Mongolia

LAND COVER IN OHIO S TOWNSHIPS: AN ANALYSIS OF TOWNSHIP LAND COVER AND POPULATION CHANGE

Land Use Planning and Agriculture: Austrian Experiences and Challenges I

CHAPTER 2 REMOTE SENSING IN URBAN SPRAWL ANALYSIS

International Journal of Intellectual Advancements and Research in Engineering Computations

Remote Sensing and GIS Application in Change Detection Study Using Multi Temporal Satellite

International Journal of Advancements in Research & Technology, Volume 2, Issue 7, July ISSN

Thoughts toward autonomous land development. Introduction

Land Use Changing Scenario at Kerniganj Thana of Dhaka District Using Remote Sensing and GIS

Land Use / Land Cover Change of Delhi: A Study using Remote Sensing and GIS Techniques

World Geography. WG.1.1 Explain Earth s grid system and be able to locate places using degrees of latitude and longitude.

AFRICAN URBANIZATION: SOME KEY ISSUES. Patricia Jones University of Oxford IGC Conference, Dar es Salaam 25 th February 2015

Urban Growth Analysis In Akure Metropolis

ISoCaRP 44 th International Planning Congress. URBAN GROWTH WITHOUT SPRAWL: A WAY TOWARDS SUSTAINABLE URBANIZATION Dalian, China, September 2008

Analysis of Urban Surface Biophysical Descriptors and Land Surface Temperature Variations in Jimeta City, Nigeria

PREDICTION OF FUTURE LAND USE LAND COVER CHANGES OF VIJAYAWADA CITY USING REMOTE SENSING AND GIS

c. What is the most distinctive above ground result of high land costs and intensive land use? i. Describe the vertical geography of a skyscraper?

URBAN SPRAWL, PATTERN AND MEASUREMENT IN LOKOJA, NIGERIA

Urban Geography. Unit 7 - Settlement and Urbanization

CITIES IN TRANSITION: MONITORING GROWTH TRENDS IN DELHI URBAN AGGLOMERATION

NETWORK ANALYSIS FOR URBAN EMERGENCY SERVICES IN SOLAPUR CITY, INDIA: A GEOINFORMATIC APPROACH

NATIONAL SENIOR CERTIFICATE GRADE 12

IMPACT OF URBAN EVOLUTION ON LAND-USE CHANGE OF SARGODHA CITY, PAKISTAN

Geographic Information Systems (GIS) in Urban Planning

Analysis of Changing Land Cover in Chittagong City Corporation Area (CCC) by Remote Sensing and GIS

MODULE 1 INTRODUCING THE TOWNSHIP RENEWAL CHALLENGE

Compact guides GISCO. Geographic information system of the Commission

Chapter 10 Human Settlement Geography Book 1 Class 12

Summary and Implications for Policy

ENV208/ENV508 Applied GIS. Week 1: What is GIS?

Abstract of Dissertation

Problems In Large Cities

A Case Study of Regional Dynamics of China 中国区域动态案例研究

Dar es Salaam - Reality Check Workshop

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 7, No 1, 2016

Remote sensing Based Assessment of Urban Heat Island Phenomenon in Nagpur Metropolitan Area

It is clearly necessary to introduce some of the difficulties of defining rural and

MANAGING TRANSPORTATION & LAND USE INTERACTIONS (PL-58)

Topic 4: Changing cities

The Governance of Land Use

Software for Landuse Management: Modelling with GIS

Combining Geospatial and Statistical Data for Analysis & Dissemination

STUDYING THE EFFECT OF DISTORTION IN BASIC MAP ELEMENTS FOR THE DEGREE OF SPATIAL ACCURACY OF GAZA STRIP MAPS

Unit No-1&2. Settlement Geography

Transcription:

Residential Development Dynamics in Port Harcourt Metropolis: Implication for Efficient Urban Planning Collins H. Wizor (Ph.D) Department of Geography and Environmental Management, University of Port Harcourt, P.M.B 5323, Port Harcourt, Nigeria Email: collins.wizor@uniport.edu.ng,wizorcollins@yahoo.com Abstract Since 1980s the rate of expansion of Port Harcourt city has been very rapid with attendant accelerated housing development within the metropolis. This paper examines the residential development dynamics in Port Harcourt metropolis using Geographic Information Systems (GIS) approach. In order to achieve this objective, two Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) multi-seasonal images of 19 December 1986 and 22 December, 1990 and NigeriaSat1 image of April 2004 for the Study area were acquired for this study. The Landsat TM, ETM+ and NigeriaSat1satellite data were processed using ERDAS IMAGINE 9.2 image processing software. The result from the land use changes between 1986 and 2004 shows prominent conversion of agricultural land to residential land uses. This implies that residential area has become one of the most important land use types within the periods under review. The paper recommended the need to invigorate planning machinery and activity in Port Harcourt metropolis to incorporate and integrate new planning paradigm into planning of the city and to introduce measures to manage smart growth. Keywords: Residential development dynamics; GIS, Efficient urban planning; Metropolis. Introduction The urban fabric of Port Harcourt metropolis has undergone dramatic changes during the last decades. From a colonial city clearly delineated in its historic boundaries, Port Harcourt has and continues to grow into the surrounding landscape, swallowing even more villages, coastlines, and previously unspoiled landscape, transforming into an ever increasing urban conglomerate. After 1980s, multi-center development of cities and its catalytic impact on reshaping of the economic landscape in metropolitan areas has drawn much attention (Hackworth, 2005). During the last quarter of the twentieth century, Port Harcourt experienced tremendous structural transformation due to population and economic growth and development of its transportation and communication systems and the impact of globalization (Obinna, Owei and Okwakpam, 2010). Like many cities in Nigeria, Port Harcourt has recorded rapid growth in population and aerial spread. From an estimated population of 500 in 1915 it grew to 30,200 in 1944. By 1963, its population was 179,563 and by 1973 it has reached 231, 532 persons. The Port Harcourt municipality s population was given as 440,399 by the 1991 national census (Okoye, 1975, Ogionwo, 1979, Alagoa and Derefaka, 2001). The 2006 national census show this population is more than a million (Obinna, Owei and Mark, 2010). In terms of its physical size, the city grew from 15.54 sq. km in 1914, to a metropolis covering an area of 360 sq. kilometers in the 1980s. Urban development is denser on the corridors determined by geographic thresholds and major transportation connections. Port Harcourt as a result of population increase and economic growth spreads to the periphery as in the other metropolitan cities. However, this decentralization is not realized with an integral and regional planning but with patchwork of partial plans. This causes negative effects on urban environment, forests, fertile agricultural land and cultural values are threatened. This kind of sprawling process creates a settlement pattern that increases the costs of infrastructure. Residential development dynamics of Port Harcourt has been very rapid (Wizor, 2012) Physically spread has occurred in both a south easterly direction and a northerly direction. To the south, growth was through marshland colonization in squatter settlements locally called waterfronts. In the last few years settlements of these waterfronts have been demolished by the Rivers State Government. Growth has also occurred in north westerly and north easterly direction through the entrapment of indigenous enclaves of semi rural and rural communities within the built up area of the city. The Port Harcourt urban fringe currently stretches to Iriebe, Eleme, Elelewon Rukpoku, Woji, Choba, Rumokwurusi and Onne (Wizor, 2012). Much of this growth is unplanned and unregulated (Owei, Ede, Obinna and Akarolo, 2008). As part of its efforts to manage the city s growth, the Rivers State Government in 2009 established the Greater Port Harcourt City Development Authority with jurisdiction covering Port Harcourt city and Obio Akpor Local Government Areas (LGA) and parts of eight other local government areas. It covers an area of approximately 1,900 square kilometers (40,000 hectares of land) with a projected population of about two (2) million people (GIBB, 2009). Rapid urban development and increasing land use changes due to increasing population and economic growth is being witnessed in Port Harcourt and cities in other developing countries. The measurement and monitoring of 78

these land use changes are crucial to understand urban development dynamics over different spatial and temporal scales. Today, with rapid urbanization, there is increasing pressure on land particularly in the metropolitan cities. The cities are expanding in all directions resulting in large scale urban sprawl and changes in urban land use. The spatial pattern of such changes is clearly noticed on the urban fringes or city peripheral areas, than in the city centre. This has made the fringe area of the city to be the most dynamic landscape (Kirk, 2003). In the modern age of urban expansion, fringe is of much significance. The term fringe suggests a border line case between the rural and the urban and it actually lies on the periphery of urban areas, surrounding it and distinguishing it from the truly rural countryside. The fringe of an urban complex forms a pattern depending upon the physiographic and transportation facilities of the area. Around major urban centres the physical expansion of built up areas beyond their municipal boundaries has been very conspicuous. As one moves out of a major city along the roads, one observes new residential colonies and a considerable amount of vacant land with partially developed residential land use. An important problem in the urban fringe area is the problem of land use. The pattern of land use in the area is dynamic and changes from rural land use to urban land use over short periods of time and distance. This paper attempts to justify the obvious residential development dynamics of the metropolis with the aid of Geographic Information Systems (GIS) to ensure that the desire for efficient urban planning is achieved. Geo Spatial Data Processing and Analysis In order to examine residential development dynamics in Port Metropolis, two Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) multi-seasonal images of 19 December 1986 and 22 December, 1990 and NigeriaSat1 image of April 2004 for the Study area which include Obio/Akpo, Eleme and Port Harcourt Local Government Areas were acquired for this study. The Landsat TM, ETM+ and NigeriaSat1satellite data were processed using ERDAS IMAGINE 9.2 image processing software. The images were imported into ERDAS using ERDAS native file format GEOTIFF. Since the images were in single bands, they were stacked together using ERDAS layer stack module to form a floating scene and to group the bands together. The 1986 image was co-registered with the NigeriaSat1 image and later geo-linked to allow for the subset of the three images to the study area. This was followed by performing further Geometric corrections of the 1990 and 2004 images to remove few scattered clouds in the image. The three images were projected to the Universal Traverse Mercator (UTM) coordinates zone 32. The spheroid and datum was also referenced to WSG84. Enhancement of the images using histogram equalization techniques was later performed on all the images and subset to the study area. The images were later displayed as false-color composites with band combination of red as band 4, green as band 3, and blue as band 2. All the images were later categorized using supervised classification technique to identify land cover features within the study area. Finally the areas of the different land uses were computed from the attribute tables of the different classified land use images. This was done using the compute area tool in the viewer window of ERDAS IMAGINE 9.2 software. The areas were computed in hectares for all the different land use classes for the different datasets. The land use map layout was done in ArcGIS 9.2 environment. The classified land use maps were imported from ERDAS to ArcGIS environment and were put in layout form and then produced (See Figures 1, 2 and 3 below) 79

Figure 1. Land Use Map of Port Harcourt Metropolis (Adapted from LandSat 1986 Imagery) Figure 2. Land Use Map of Port Harcourt Metropolis (Adapted from LandSat 1990 Imagery) 80

Figure 3. Land Use Map of Port Harcourt Metropolis (Adapted from NigeriaSat1 2004 Imagery) Analysis Result The results are analyzed as follows: Change Detection: The post-classification change detection technique was employed, which is efficient in detecting the nature, rate and location of changes, and has been successfully used in a number of researches done in urban environments (Hardin et al., 2007). Firstly, the areas for the different land cover types of the classified images were computed from the attribute table of the classified images in ERDAS IMAGINE 9.2 environment. The classified images were later imported in Arc Map 9.2 environment. An overlay procedure using the intersect function of Arc Map 9.2 was adopted with each of the classified image and towns boundary layer. The attribute data including the area of change of the different land cover type measured in hectares were then exported to excel for further comparison. The comparison of the land use land cover statistics assisted in identifying the percentage change, trend and rate of change between 1986 and 2004. In achieving this goal, the first task was to develop the figures showing the area in hectares determining the percentage change for each year (1986, 1990 and 2004) measured against each land use land cover type. To determine the trend of change, the observed change was divided by the sum of changes multiplied by 100: (Trend) percentage change = observed change * 100 Sum of change The trend area change measured against two land use land cover type was calculated as follow: the difference between the observed change in area (i.e. built-up area) in later period q (e.g. 1990 year) and observed change in area (i.e. built-up area) in early period p (e.g. 1986 year) Trend area changed = observed change q- observed change p In obtaining annual rate of change, the area changed is divided by the number of study 1986-1990(4 years), 1990-2004(14 years) Annual rate of change = Trend area change Number of study years The results are thus: 81

Table 1. Trend Change in Percentage from 1986 to 2004 CLASS NAME TREND CHANGE IN HECTARES TREND CHANGE IN % 1986-1990 1990-2004 1986-1990 1990-2004 Built-Up Area 3,654.45 4,603.32 7.81 33.62 Water Bodies 164.61 677.16 0.35 4.95 Primary Forest 25,280.64 137.07 54.05 1 Secondary Vegetation 14,257.26 5,636.61 30.48 41.17 Open Surfaces 465.17 911.33 1 6.66 Floodplain 2,952.18 1,725.75 6.31 12.6 Total 46,774.31 13,691.24 100 100 Author s Computation Table 2 Annual Change Rate Computation from 1986-2004 CLASS NAME ANNUAL CHANGE IN HECTARES ANNUAL CHANGE IN % 1986-1990 1990-2004 1986-1990 1990-2004 Built-Up Area 913.61 328.81 7.81 33.62 Water Bodies 41.15 48.37 0.35 4.95 Primary Forest 6,320.16 9.79 54.05 1 Secondary Vegetation 3,564.32 402.62 30.48 41.17 Open Surfaces 116.29 65.1 1 6.66 Floodplain 738.045 123.27 6.31 12.6 Total 11693.57 977.96 100 100 Author s Computation From the tables above the built-up area recorded a trend change of 3,654.45 hectares representing 7.81% change within 1986-1990 periods and from1990-2004, a trend change of 4,603.32 hectares was recorded representing 33.62% change. The annual trend change of the built-up area within the 1986-1990 periods was recorded as 913.61 representing 7.81% change annually while within 1990-2004 the annual trend change was recorded as 328.81 hectares representing 33.62% change annually. This implies that residential area has become one of the most important land use types within the periods under review. It could be seen as a major type of land use in the northern and eastern part of the metropolis. Also, the expansion of area under residential use could be seen in and around the old settlement. An important point noted here is that most of the new areas under the land use (built up) are residential indicating the growing influence of Port Harcourt metropolitan City. The population growth of this city overtime supports this point. In 1973, the population was 213,443. It increased to 645,883 in 1991 and over one million in 2006. This two-fold increase in population supports that there is more residential development. The water bodies experienced a trend change of 164.61 hectares within 1986-1990 periods this represents 0.35% increase while within 1990-2004 the trend change was 677.16 hectares constituting 4.95% change. The annual trend change in area within 1986-1990 was recorded as 41.15 hectares annually representing a 0.35% annual increase while within 1990-2004 the annual trend change in area was recorded as 48.37 hectares annual increase representing 0.95% increase annually. Primary vegetation recorded a high trend change of 25,280.64 hectares within 1986-1990 representing 54.05% increase. While within 1990-2004 the trend change was 137.07 hectares representing 1% increase. The annual trend change in area was recorded as 6,320.16 hectares within 1986-1990 representing 54.05% increase annually while in 1990-2004 the annual change rate was recorded as 9.79 hectares annually representing 1% increase annually. Secondary vegetation recorded a trend change of 14,257.26 hectares a 30.48% change within 1986-1990 periods and within 1990-2004 the trend change was recorded as 5,636.61hectares representing 41.17% change. The annual change rate within 1986-1990 was 3,564.32 hectares representing 30.48% while within 1990-2004 the annual change was recorded as 402.62 hectares representing 41.17% change. The trend change of open surfaces within 1986-1990 was recorded as 465.17 hectares representing 1% change within the period. And within 1990-2004 the trend change was 911.33 hectares representing 6.66%. The annual change of open surface within 1986-1990 was 116.29 hectares annually representing a 1% increase annually while within 1990-2004 the annual change in area was 65.1 hectares representing a 6.66% increase annually. The floodplain recorded a trend change of 2,952.18 hectares representing 6.31% change while within 1990-2004 the trend change was 1,725.75 hectares representing 12.6% change. The annual change rate for 1986-1990 periods was recorded as 738.05 hectares representing a 6.31% change annually while within 1990-2004 the annual change was 123.27 hectares representing 12.6% change annually within the period. 82

The results above are further shown on Table 3 and Figures 4, 5, 6 and 7 below for a better appreciation of the landuse dynamics in Port Harcourt metropolis. Table 3. Land use Dynamics in Port Harcourt Metropolis Author s Computation Class Name Size 1986 Size 1990 Size 2004 Area (hectares) % Area (hectares) % Area (hectares) % Built_Up Area 7491.96 14.02 11146.41 25.49 15749.73 27.56 water bodies 1678.14 3.14 1842.75 4.21 2519.91 4.41 Primary Forest 31780.8 59.48 6500.16 14.86 6363.09 11.13 Secondary vegetation 2651.49 4.96 16908.75 38.666 22545.36 39.45 Open Surfaces 877.55 1.65 1342.72 3.07 2254.05 3.94 floodplain 8947.98 53427.92 16.75 100 5995.8 43736.59 13.711 1000 7721.55 57153.69 13.51 100 Landuse Trend Change Area (%) 60 50 40 30 20 10 0 1986-1990 1990-2004 Class Name Figure 5. Land use Trend Change (Area%) 83

60 Figure 6. Land use Trend Change (Area Hectares) Landuse Annual Change Rate Area (%) 50 40 30 20 10 0 Class Name Figure 7. Land use Annual Change Rate The implication of the above result is that there has been a major shift from agricultural land use to residential land use validating urban influence e and possible suburban development. The result from the land use changes between 1986 and 2004 in the study area has prominent residential conversion from the agricultural land. Thus, housing dynamics is an important part of Port Harcourt restructuring process and it takes shape in the periphery as the development of large public and private houses together with gated towns continues unabated. Conclusion Residential development changes in Port Harcourt metropolis indeed calls for concern of all stakeholders in the city. The result from the processing and analysis of the two LandSat Thematic Mapper (TM) and Enlarged Thematic Mapper Plus (ETM+) multi-seasonal images of 19 December 1986 and 22 December 1990; and NigeriaSat1 image of April 2004 showed the urban development dynamics of Port Harcourt metropolis. For instance, the built-up up area recorded a trend change of 3,654.45 hectares representing 7.81% change within 1986-1990 periods and between 1990-2004, a trend change of 4,603.32 hectares was recorded representing 33.62% change. The annual trend change of the built-up area within the 1986-19901990 periods was recorded as 913.61 representing 7.81% change annually while within 1990-2004 the annual trend change was recorded as 328.81 hectares representing 33.62% change annually. 1986-1990 84

This implies that residential area has become one of the most important land use types within the periods under review. It could be seen as a major type of land use in the northern and eastern part of the metropolis. Also the expansion of area under residential use could be seen in and around the old settlement. An important point noted here is that most of the new areas under the land use (built-up) are residential indicating the growing influence of Port Harcourt metropolitan City. The result in general showed that the urban fabric of Port Harcourt metropolis has undergone dramatic changes in the last decade. There is the need therefore to invigorate planning machinery and activity in Port Harcourt metropolis to incorporate and integrate new planning paradigm into planning of the city and to introduce measures to manage smart growth. This rapid developmental dynamics has generated problems for urban management. The settlements that have experienced this growth in the urban fringes have generally suffered the lack of urban services and lack of access roads. There is usually no planning. This has reduced the liveability and functionality of the metropolitan city. While it is clearly impossible to put an end to sprawl development, it is possible, it can be controlled, such that development proceeds in a planned and regulated manner. This is perhaps the greatest challenge to urban planners in Nigeria in a rapidly urbanizing context. Efficient urban physical planning in the form of planned lay outs, development control and other regulatory mechanisms must be put in place. The way that land enters the development process, especially registration of title and decisions on what land is used for should also be properly addressed at all levels of government. It is obvious that indigenous land owners must be part of this process. The political class must realize that they have roles to play in other to have a functional city. Thus, there is need to strengthen urban governance, by improving human capacity, proper funding and building institutions that are efficient. Reference Alagoa, E. J. and Derefaka, A. A.(2001) (ed): The Land and People of Rivers State (Eastern Niger Delta). Onyeoma Research Publishers, Port Harcourt. Gibb (2009) Greater Port Harcourt City Development Plan; Government of the Rivers State, Port Harcourt. Hackworth, J. (2005) Emergent urban forms, or emergent post-modernisms? Large U.S. Metropolitan Areas, Urban Geography Hardin, J., Mitani, A., Hicks, L. and Vankoten, B. (2007) A Robust Measure of Correlation between Two Genes on a Microarry; Biomed Central Ltd, USA Kirk, M. (2003) Ensuring Efficient Land Management in Peri-urban Areas, World Bank Report Obinna, V. C., Owei, O. B. and Mark, I. O. (2010) Informal Settlements of Port Harcourt and Potentials for Planned City Expansion. In: Environmental Research Journal Vol. 4 Obinna, V. C., Owei, O. B. and Okwakpam, I. O. (2010) Impacts of Urbanization on the Indigenous Enclaves of Port Harcourt and Concomitant Policy Measure. In: The Social Sciences Vol. 5 No. 3 Ogionwo, W. W. (1979) The City of Port Harcourt. Heinemann Publishers, Ibadan Okoye, T. O. (1975) Port Harcourt, In: G. E. K. Ofomata (Ed) Nigeria in Maps: Eastern Nigeria States. Ethiope Publishing, Benin City. Pp. 92 93 Owei, O. B., Ede, P. N., Obinna, F.C. and Akarolo, J. (2008) Land Market Distortions in Nigerian Cities and Urban Sprawl: the case of Abuja and Port Harcourt, 44 th ISOCARP Congress Wizor, C. H. (2012) Analysis of the Developmental Trends of Single Family Housing Estates in Port Harcourt Metropolitan Fringe Areas. An Unpublished Ph.D Dissertation; Department of Geography and Environmental Management, University of Port Harcourt, Nigeria 85