Original Research Article
Year: 2016 | Month: January-March | Volume: 1 | Issue: 01 | Pages: 1-17
Impact of Telecommunication Masts on Environmental Planning in
Enugu Urban Area of Enugu State
R. O. U. Eyankware1, E. A.
Iyi1, V.U.D. Okwu1, W.C. Ulakpa2
1Department of Geography and Meteorology, Faculty of Environmental
Science, Enugu State University of Science and Technology, Enugu State,
Nigeria.
2Bell-X Telecom
Infrastructure Development Company, Nigeria.
Corresponding Author: R. O. U. Eyankware
ABSTRACT
This
research assesses the impact of telecommunication masts on environmental
planning in Enugu Urban Area of Enugu State. Eighteen (18) layouts in the three local government area of Enugu
Urban (Enugu North, Enugu South and Enugu East) were randomly selected for
purpose of data collection. The study areas in the selected local government
areas were stratified into three (3) homogenous residential densities namely,
Low, Medium and High. Three hundred and eighty (380) questionnaires were
randomly administered out of which 297 response rate representing 78.5% were
returned, examined and analyzed. The research identified means of the spatial
distribution of masts location by measurement of the distance between each
masts, its attributes such as; nature of land for masts erection, nature of
adjacent land uses to masts location as well as the plot sizes and height of
each masts and also the impact of masts on environmental planning which
include; impact on urban scene, aviation, aesthetics and visual intrusion,
public utilities, diversion in roads, buildings and general well being of man.
One way analysis of variance (ANOVA) and Chi- square were employed in testing
the hypotheses. The result revealed that the prime targets were dissatisfied
with the location of masts. There was significant variance in the spatial
distribution of masts in layouts plan. But there was no significant difference
in the negative impact of telecommunication masts on environmental planning. It
also identified four hundred and sixty one (461) base stations randomly
distributed within the eighteen layouts. In the high density layouts, the
observed mean distance between masts located is less than 1km. Thus the spatial
distribution is neither clustered nor dispersed but random in nature while the
mean distance for medium ranges from 0.7km to 1km and low density layout is
above 1km. This also confirms random distribution of masts location. The study
recommends that telecommunication operators should prepare and submit their
program on network expansion for integration into the land use plan of the
study area and for the city in general. The study concludes that future
location of telecommunication masts in the study area should be based on conscious planning decisions and
telecommunication operators should adopt the means of co-location.
Keywords: Enugu, Telecommunication, Residential Areas, Town Planning and environment.
INTRODUCTION
Our urban
centers have witnessed unprecedented erection of masts to accommodate phone
users with little regards to standards, health, safety and general well being
of the teeming population. There is a general consensus that migration and
remittances reduce rural poverty and contribute to the improvement of household
living standards (Moses., et al.
2015). Migration into Enugu metropolis have lead to increase in number of
mobile phone users this has resulted in telecommunication companies increasing
the number of telecommunication masts so as to render quality service for its
users. This has become an eye sore to urban planners and a threat to the
general well being of inhabitants of where these masts are located (Ubani,
2011). Today Nigeria has over 25,000 erected masts from GSM operators alone
(MTN, ETISALAT, AIRTEL, and GLOBACOM) (Olukolajo, Ezeokoli and Ogungbenro
2013). In Enugu urban, there are high proliferations of telecommunication masts
close to residential buildings. Residential land use in Enugu urban accounts
for the highest land use area and comprises about 54.3% of the total urban area
in Enugu (Ubani, 2011). The use of telecommunication masts have compounded
challenges in the city and has impact on the environmental planning of the
area. All these are issues of concern and focus in this research. Awe (2012) stated that in Nigeria telecommunication
infrastructure remains one of the major issues affecting the environment. The provision
and sitting of these masts within the country are necessary for the
availability of telecommunication and internet services for fast-tracking
businesses and government social services, which seems to be an issues and
concerns from wide range quarters. Chinedu, (2005) however stated that although
telecommunication market has created numerous opportunities for investors to
address the increase in demand for telecommunication services, this has led to
the spatial distribution of telecommunication masts in residential and
commercial area of the of Enugu state. The study is limited to telecommunication
masts and their implication on environmental planning in Enugu urban. The
various hierarchies of masts which ranges from high, medium to low density
area, its distribution and location close to buildings (residential and
commercial), roads and drainage and how it affects environmental planning in
different layouts in Enugu urban such as Achara layout, Abakpa Nike community
layout, Uwani Southern Portion layout, New Abakiliki layout Emene, Paradise
city layout, New Era layout, New Haven East layout, New Haven West layout,
Trans- Ekulu community layout, Aria Road layout, Golf Estate layout, Thinker’s
corner layout, Trans- Ekulu Pocket layout, Independence layout phase 1&2,
Old GRA layout , New GRA layout, Gateway layout Ibagwa Enugu and Market Garden
layout are considered as shown in (Fig.1). Despite the huge benefits of Global
System of Mobile Communication (GSM) the new technology has come with its
challenges, as telecommunication masts has strong effect on the urban scene (Pitchard, 2006). Pitchard further stated that some of the existing base
stations (Masts) have caused much dissent and the fact that more are needed has
adversely affected environmental planning. These Masts /Base stations of some
of the key players in the GSM business are not only properly located and their
proximity to roads, buildings public utilities, playgrounds, conservation
areas, airports etc are a major problems to town planners and the environmental
managers (Donati and Marino, 2003). The height of these masts poses serious
threats to aviation business. It is imperative that telecommunication operators
should observe strictly, the maximum height limit of 100m from the ground level
for their various masts with warning lights to avoid air craft collision and
resultant accidents. As the topography of Enugu underscores the need to ensure
extreme care and caution in this regards (Chinedu, 2005).
Statement
of the Problem
At present time,
the problem of the telecommunication masts in Enugu urban is that planning
policy guidelines are not put into place while mounting these mast and these
have had great impact on environmental planning in the area. Preliminary
studies in Enugu Urban indicates that telecommunication masts are located
poorly and in this affect the environmental planning of the area, safety and
general well being of inhabitants is being compromised. The erection of these
masts is erratic and has a problem to urban managers. Enugu urban has a
population of 722,664 (Nigeria Population Commission, 2006) therefore the
demand for base stations (masts) is high because of its population and
increasing number of phone users. By implication more masts need to be provided
for effective network coverage and optimum service delivery without regards to
laid down procedures and guidelines.
Research
Questions
Based on the formulated aims and
objectives, the following research questions were asked.
i.
What
is the spatial distribution of telecommunication masts in selected layouts of
Enugu Urban?
ii.
What
are the attributes of the masts locations?
iii.
What
is the place of the attributes of masts in Enugu urban?
iv.
How
have the existing masts affected environmental planning in Enugu Urban?
Aims
and Objectives
The aim of this
research is to assess how the telecommunication masts affect environmental
planning in Enugu Urban Area of Enugu State with a view to suggesting ways of
efficiency. The following objectives were set to pursue the aim.
i.
To
determine the spatial distribution of telecommunication masts in selected
layouts of Enugu Urban
ii.
To
examine the general attributes (Heights, sizes, land uses, plot sizes etc.) of
base stations (masts) and the extent of application of these in the study area.
iii.
To
assess how the existing masts have affected environmental planning in Enugu
Urban.
iv.
To
recommend precautionary approach to the deployment of telecommunication
infrastructure in Enugu Urban.
Statement
of Hypotheses
The following
hypotheses were formulated and tested in the course of the research study:
Hypothesis One: Ho - There is
no significant variation between telecommunication masts as measured by their
spatial distribution in selected layouts plan in Enugu Urban.
Hypothesis Two: Ho - There is
no significant variation in the attributes of location as measured by their
land uses in the selected layouts.
Hypothesis Three: Ho - There
is no significant difference in responses of respondents on the negative impact
of telecommunication masts on environmental planning of the area.
MATERIALS AND METHODS
The research
design for this study employed survey research design. It defines the study
population and data acquisition techniques. The choice of this design is based
on assertion by (Akinbode, 2012) that the general purpose of survey is to
reveal current conditions, to point out acceptability of previous state and
show the need for changes. A total of 360 questionnaires were distributed to
the selected layouts under the three local Government Area of Enugu Urban such
as Achara layouts, Abakpa Nike community layout, Uwani Southern portion layout,
New Abakaliki layout Emene, Paradise city layout New Era layout, New Haven East
layout, New Haven West layout, Community Layout Trans-Ekulu, Aria Road layout,
Golf Estate layout, Thinker’s corner layout, Trans- Ekulu pocket layout,
independence layout phase 1&2, Old GRA layout, New GRA layout, Gateway
layout Ibagwa and Market Garden layout (Table.1). Twenty questionnaires were
distributed to each of these layouts. The descriptive statistical techniques
was used, where three hundred and eighty well structured questionnaires were
distributed among the target groups as regards the study namely; the resident
population, telecommunication service providers and the town planning
officials. Statistical tool such as frequency, percentages, averages, charts,
histograph and multiple histograph were used for the descriptive data.
Table 1:Population of the Study.
S/N
|
Item
|
Size
|
Remarks
|
1
|
Residents Population
|
360
|
18 layouts
|
2
|
Service Providers
|
5
|
5 service providers
|
3
|
Town planning Authority
|
15
|
15 town planning officials
|
Total
|
|
380
|
|
Source:Researcher’s Field Survey, 2015.
Test
of Hypotheses
In testing of
hypotheses, one way analyses of variance and Chi-square were used through
statistical packages for the social sciences (SPSS).
Hypothesis
One and Two:
One way analysis
of variance (ANOVA) without interaction was used to test hypotheses one and two
in the research. Analysis of variance was discovered by Sir Ronald Fisher in
1923. It is a statistical method that tests the equality of three or more means
with the aim of determining their variance. It was used to test the variations
between telecommunication masts locations as measured by their spatial
distribution in selected layout plan. It was also used to test the variation
between the attributes of masts locations as measured by their land uses. It
separates the total variation displayed by a set of observation as measured by
the sums of squares of the deviations from the mean, into components associated
with defined sources of variation used as criteria of classification for the
observations. These components are then analyzed in order to test certain
hypothesis (Eze, 2012). ANOVA is preferred in this test than any other tests
that can be used to compare means because it allows for the computation of
three or more means simultaneously.
In a One – way ANOVA, one factor is
involved. The model is given by
Model Xij
= µ+άi + eij ………… (1)
i = 1, 2,….p
j = 1, 2,....q
Where Xij is the jth observation in the
ith treatment, µ is a constant , άi
is the mean effect of the ith treatment and eij is the error associated with
the observation X
F –ratio =
Ms between
Ms within
Hypothesis
Three
The chi-square
statistical tool was used in analysis of data of the experiment test as
obtained from the study area. Chi square is symbolically written as X2,
is a statistical measure used in the context of sampling analysis for comparing
a variance to a theoretical variance. As a non- parametric test, it is used to
determine if categorically data shows dependency or the two classifications are
independent. It is also used to make comparisons between theoretical population
and actual data when categories are used. It is applicable in large number of
problems. These distinguish Chi-square and make it adoptable for use to test
the difference in the determining the impact of telecommunication masts on
environmental planning.
The model is given by following equation....
Three hundred
and eighty questionnaires were randomly administered; two hundred and
seventy-seven to respondent population, five to telecommunication service
providers and fifteen to town planning officials. And as the time of compiling
this result a total of two hundred and ninety seven responses were received,
representing 78.5% effective responses rate.
Table 2: Respondents’ Response Rates.
|
No
Distributed
|
No
Received
|
Response
rate of received against distributed questionnaire
|
Resident population
|
360
|
277
|
76.9%
|
Telecom Service Providers
|
5
|
5
|
100%
|
Town planning officials
|
15
|
15
|
100%
|
|
380
|
297
|
78.5%
|
In Table 2,
above it is obvious; that questionnaires distributed for resident’s population
were returned with 76.9%. Responses for telecommunication service providers and
town planning officials are encouraging for this research with 100%
respectively. This revealed that telecommunication service providers are in the
zeal to embrace the need to improve the quality of the environment as regards
the haphazard nature of sitting of telecommunication masts.
Sub
Group of Respondents’
Table 3: Sub- Group or Respondents’.
|
Total
|
Percent
|
Cumulative
Percent
|
Resident Population
|
277
|
93.3
|
93.3
|
Telecommunication Service providers
|
5
|
1.7
|
95
|
Town Planning Officials
|
15
|
5
|
100
|
|
297
|
100
|
|
The demographic
profile of the respondents in Table 3 shows that 93.3% respondents were in the resident
population category, 1.7% is in the telecommunication service providers’
category and 5% are in the town planning authority. This resident population,
service providers and town planning authority were mainly the target group for
this study who are believed to be concerned and responsible for effective
environmental planning. This kind of mix in responses put away the fear of
having one-sided opinion.
Respondents’
Educational Qualification
Efforts were made to ascertain the
educational qualification of the respondents; this is because less informed
staff may not contribute to the positive success of this research work.
One hundred and
eighty eight of the respondents representing 63.30% had tertiary as their
highest educational qualification. This was followed by those with informal
having 57 respondents representing 19.20%. However, 32 respondents representing
10.80% had secondary. Those with primary education are 20 respondents representing
6.70% respectively (Fig.2). This indicated that majority of the respondents
were educated and require less explanation to understand the issues raised in
the questionnaire. Moreover, they were eager to see that the standard and
criterion required for mounting of telecommunication masts are adhered to by
the telecom operators and proper planning policy guidelines are maintained.
RESIDENT
POPULATION
Line
used by Respondents
Mobile phones
are reliable tools for the coordination of day to day activities in
telecommunication industry; hence the researcher wants to know the line used by
respondents in different layouts, the availability of this will help identify
the masts that are most dominant as regard the number of line used by the
respondents. The respondents were asked to choose from the variables: MTN, GLO,
ETISALAT and AIRTEL.
121 of the
respondent representing (43.70%) in high, medium and low density used MTN line.
This was followed by Glo with 70 (25.20%) and 55 of the respondents
representing (19.90%) which used Etisalat and Airtel with 31 (11.20%)
respectively (Fig.3). The researcher wants to identify the line used by the
respondents and the line which is most dominant among the respondent. The
researcher from her field observations agreed that MTN has majority of mast
erected in the study area.
General Awareness of Telecommunication Masts
Knowledge
of telecommunication masts by respondents
The researcher
wanted to know if respondents have a general knowledge of telecommunication
masts. This was elicited to determine the level of awareness of the respondents
on what the research work is all about.
Table 4: Knowledge of Telecommunication Masts by
Respondents.
S/N
|
Layouts
|
Yes
|
%
Yes
|
No
|
%
No
|
1
|
High Density
|
59
|
24.6
|
22
|
59.5
|
2
|
Medium Density
|
80
|
33.3
|
14
|
37.8
|
3
|
Low Density
|
101
|
42.1
|
1
|
2.7
|
|
Total
|
240
|
100
|
37
|
100
|
Source:Researcher’s Field Survey, 2015.
In Table 4 it
shows that 59 of the resident’s population representing 24.6% in the high
density layouts have knowledge of telecommunication masts, while 22 (59.5%)
have no knowledge. This was followed by respondents in the medium density
layouts 80 representing 33.3% of the resident population indicated they have a
knowledge of telecommunication masts, while 14 (37.8%) had no opinion. However,
101 representing 42.1% of the resident’s population in the low density layouts
indicated that they know what telecommunication is, while 1 (2.7%) indicated
No. This means that some of the respondents in high density layouts had no
knowledge of telecommunication masts; this is due to their low level of
educational background. However, in medium and low density majority of the
respondents had knowledge of what telecommunication masts is and this serve as
a greater advantage to the researcher and contributed to the success of the
study.
Fig.4: Response on how long the masts have being
erected.
Response on how long the masts have been erected.
Response on how long
the masts have being erected.This is a pre requisite for determining how long
the erection of masts has affected the planning of the area.
In a total of
277 respondents, 59 respondents representing 21.3% stated the masts had being
erected form one to two years. This is followed by those erected between two to
four years having123 respondents representing 44.4%. Those erected within four
to six were 62 (22.4%). While those erected above six were 33 (11.9%). Fig.4
showed that most of the masts erected ranges from two to six representing
66.8%. However, those in two to four years category are more. These periods and
percentage representations are good enough to provide a reliable data.
Table 5: Response on whether they were contacted
before the masts was erected.
S/N
|
Layouts
|
Yes
|
No
|
Frequency
|
1
|
High Density
|
28
|
53
|
81
|
2
|
Medium Density
|
17
|
77
|
94
|
3
|
Low Density
|
17
|
85
|
102
|
4
|
Total
|
62
|
215
|
277
|
5
|
Percent
|
22.4%
|
77.6%
|
100%
|
Source:Researcher’s Field Survey, 2015.
Majority of the
respondents representing 215 (77.6%) of the respondent’s population indicated
that they were not contacted before the masts were erected. While 62 (22.4%) of
the respondents stated they were contacted. Hence, this indicated that service
providers do not consider the resident population and planning of the area
before sitting of their masts (Table.5). The researcher from her field
observations agreed that most masts erected do not meet the standard given by
NCC and regulatory authority and go against the orderly layout plan of the
area.
TELECOMMUNICATION SERVICE PROVIDERS
Designation
of Service Providers
The researcher
wanted to know the designation of his respondents because identifying this,
will help to obtain information from the right person as regards masts erection
and not doing this may not contribute positively to the success of this study.
Table 6: Designation of service providers
S/N
|
Designation of Respondent
|
Telecommunication Service Providers
|
Frequency
|
Percent
|
1
|
Base Station Engineer
|
Globacom
|
1
|
20%
|
2
|
Capital Project
|
MTN
|
1
|
20%
|
3
|
Radio Access Manager and Facility Manager
|
Airtel
|
2
|
40%
|
4
|
Maintenance Engineer
|
Etisalat
|
1
|
20%
|
|
Total
|
|
5
|
100%
|
Source:Researcher’s Field Survey, 2015.
Table. 6
indicated that the respondent for Globacom was Base Station Transmission
Engineer 1 representing 20%. This was followed by 1 Capital Project Manager in
MTN representing 20%while Airtel were 2 respondents Radio Access and Facility
Managers as information needed was to be obtained from them representing 40%
respectively and Maintenance Engineer for Etisalat was 1 respondent
representing 20%.
Spatial
Distribution of Telecommunication Masts in Enugu Urban.
Distribution
of Masts in Selected Layouts.
Efforts were made to find out the
spatial distribution of telecommunication masts. This was elicited to determine
the distribution of masts in the study area and this can only be achieved by
knowing the number of masts in each of the selected layouts.
Table 7: Distribution of Masts in Selected Layouts.
S/N
|
Variables
|
High Density
|
Medium Density
|
Low Density
|
Total
|
Percent
|
1
|
MTN
|
90
|
57
|
39
|
186
|
40.3%
|
2
|
Globacom
|
63
|
43
|
24
|
130
|
28.2%
|
3
|
Airtel
|
49
|
34
|
13
|
96
|
21%
|
4
|
Etisalat
|
24
|
16
|
9
|
49
|
10.5%
|
|
Frequency
|
226
|
150
|
85
|
461
|
100%
|
Source:Researcher’s Field Survey, 2015.
In totality the
total number of masts according to the different service providers in the
selected layouts of Enugu Urban is 461 (100%), with MTN having the highest
number of masts at 186 representing 40.3%. This was followed by Globacom 130
(28.2%). Those with 96 (21%) represent Etisalat, while Airtel 49 (10.5%)
respectively (Table.7). This proportion therefore is relied upon to elicit data
in determining the spatial distribution of masts in the selected layouts of
Enugu Urban.
Table.8: Measurement of Distances between Telecommunication Masts in Selected
Layouts.
S/N
|
Variables
|
High
Density
|
Medium
Density
|
Low
Density
|
1
|
Mtn –Airtel
|
1.58
|
4.2
|
8.3
|
2
|
Glo – Mtn
|
1.55
|
5.54
|
7.69
|
3
|
Etisalat – Glo
|
0.96
|
5.03
|
8.09
|
4
|
Mtn – Etisalat
|
1.37
|
5.37
|
9.11
|
5
|
Etisalat – Mtn
|
1.3
|
5.47
|
8.72
|
6
|
Airtel – Etisalat
|
1.85
|
4.95
|
7.94
|
7
|
Mtn – Mtn
|
2.84
|
6.53
|
9.39
|
8
|
Glo – Glo
|
2.5
|
6.7
|
9.48
|
9
|
Etisalat – Etisalat
|
2.98
|
8.57
|
10.31
|
10
|
Airtel – Airtel
|
2.77
|
6.78
|
8.96
|
|
Total
|
19.7
|
59.14
|
87.66
|
Source:Researchers Field Survey, 2015.
Table 8 shows
the measurement of the distance between one telecommunication masts and
another. From the field measurement it shows that the spatial distribution
observed is neither dispersed but random in nature. The mean distance of masts
in high density layouts was found to be less than 1km. This also confirms
random pattern of masts distribution. Also, it was obvious from this study that
the mean distance of masts in medium density layouts was between 0.7km to 1km
and higher than 1km in high density layouts. These results further confirm the
earlier low ranking of proximity of masts as a factor of the distribution of
masts by operators. The random pattern observed further confirms the absence of
a definite spatial planning and technical threshold standard to guide masts
distribution.
Table 9: Categories of permit obtained by Service
providers.
S/N
|
Regulatory Authority where permit is obtained
|
Type of permit obtained
|
Service Provider
|
1
|
ESMULD
|
Development Permit
|
MTN, Airtel, Glo &Etisalat
|
2
|
National Civil Aviation Authority
|
Aviation Clearance
|
MTN, Airtel, Glo &Etisalat
|
3
|
Ministry of Environment
|
EIA Clearance
|
MTN, Airtel, Glo &Etisalat
|
Source: Researcher’s
Field Survey, 2015.
Table 9
indicated that, the service providers obtain permit from ESMLUD, NCAA and
Ministry of Environment and the type of permits are development permit,
aviation clearance and EIA certificate respectively. The researcher went
further to deduce on friendly approach; why? Some telecommunication operators
do not abide by the permit from the regulatory authorities. Some revealed that
certain factor influences them in sitting of the masts, the important factor
being the population while the dominant is that of availability of land.
How
Respondents get land for Mast Erection.
Response on how
respondents get land for mast erection was elicited to determine whether most
masts erected were obtained through lease agreement or outright purchase from
the land owners. The reason being that majority of the masts cited do not meet
the criterion for the approval of masts by the regulatory authority
Fig.5 reveals
that 95% of the Service Providers obtain land for the erection of
telecommunication masts through lease agreement while 5% is outright purchase.
Most of the operators prefer to approach residential land owners to lease part
of their properties to them for the purpose of locating their base stations.
This explains why majority of the masts are on shared plots of land. However,
these shared properties hardly conform to the town planning and NCC
regulations.
Attributes
of Masts Location and extent of its Application in Enugu Urban.
Response
on the Nature of Masts Location.
Response on the nature of masts
location. There is need to ascertain the nature of land for masts erection, and
how this has negatively affected the planning of the area.
Respondent’s
opinion on the nature of masts location reveals five possible locations which
are further classified as dedicated and non-dedicated. Majority (59.4%) are
located on shared or subdivided plots, (10%) on dedicated plots of land,( 0%)
on roof tops, (18% ) on organized open spaces and (12.6% ) on incidental open
spaces (Table.10). Hence, majority of the masts are located on non dedicated
plots. This suggests lack of conscious planning in the distribution and
location of masts in the study area. Consequently future expansion of masts in
study areas may continue to invade and succeed the residential, commercial and
other land uses rather than co-locate with other base stations.
Table 10: Response on Nature of Masts Location
S/N
|
Variables
|
High
Density
|
Medium
Density
|
Low
Density
|
Total
|
Percent
|
1
|
Shared or Subdivided Plots
|
114
|
89
|
71
|
274
|
59.4%
|
2
|
Dedicated Plots
|
19
|
17
|
10
|
46
|
10%
|
3
|
Roof tops
|
-
|
-
|
-
|
-
|
-
|
4
|
Organized open space
|
47
|
9
|
9
|
83
|
18%
|
5
|
Incidental open space
|
31
|
16
|
11
|
58
|
12.6%
|
|
Frequency
|
211
|
131
|
101
|
461
|
100%
|
Source:Researcher’s Field Survey, 2015.
Assessment on the Plot Size and Height of each Mast.
Table 11: Assessment on the Plot Size and Height of
each Mast.
S/N
|
Plot sizes
|
Height of mast
|
Service Providers
|
1.
|
15m X 15m and 20m X 20m
|
35m, 50m, 70m &100m
|
MTN
|
2.
|
12m X 12m 15m X 15m and 20m
X 20m
|
30m, 50m and 70m
|
Globacom
|
3.
|
15m X 15m and 20m X 20m
|
50m, 75m and 100m
|
Etisalat
|
4.
|
12m X 12m and 15m X 15m
|
35m, 50m and 75m
|
Airtel
|
Source:MTN, Globacom, Etisalat,
Airtel, 2015.
Table 11 indicated respondents’ opinion on the standards
and criterion for masts erection with respect to plot sizes are15m x15m &
20m x 20m and height of mast are 35m, 50m, 70m and 100m for MTN, 12m x 12m, 15m
x 15m and 20m x 20m for plot sizes for Globacom while the height of masts are
30, 50m, 70m respectively, 15m x 15m & 20m x 20m for plot sizes for
Etisalat and 50m, 75m and 100m for height of mast. And 12m x 12m & 15m x
15m in terms of plot sizes for Airtel while the height of mast standards are
35m, 50m, and 75m respectively. The researcher made a general assessment of
this, and from the field observations it was deduced that not all masts meet
the criterion and standards and there should be need for effective monitoring
by the NCC to meet the standards.
Table 12: Nature of Adjacent Land Uses of Masts
Location
S/N
|
Layouts
|
Masts
located on residential land use
|
Masts
located on commercial
land use
|
Masts
located on other type
of
land use public, recreation & industries
|
Masts
located adjacent to access road to residential
|
Masts
located adjacent
to
express
|
Masts
located along
distributor
roads
|
Masts
located along streets
|
Frequency
|
1
|
High
Density
|
37
|
44
|
24
|
61
|
10
|
25
|
19
|
220
|
2
|
Medium Density
|
36
|
31
|
20
|
34
|
3
|
13
|
11
|
148
|
3
|
Low
Density
|
8
|
15
|
22
|
6
|
14
|
14
|
6
|
93
|
|
Total
|
81
|
90
|
66
|
101
|
27
|
27
|
36
|
461
|
|
Percent
|
17.6%
|
19.5%
|
14.3%
|
21.9%
|
5.8%
|
5.8%
|
78.6%
|
100%
|
Source:Researcher’s Field Survey, 2015.
The nature of
adjacent land uses to the masts location shows that 17.6% have residential uses
as their adjacent land use, 19.5% have commercial and 14.3% have other types of
land uses (public, recreation and industrial) as their adjacent land uses. This
reveals that location of masts in the study area lacks coordination in term of
land use planning. A consideration of the type of roads adjacent to the masts
shows that majority 21.9% are located adjacent to access roads within the
residential areas, 5.8% are located adjacent to arterial or expressways, 13.0%
along distributor roads and 7.8% along collector roads (Table.12). This
suggests that telecom operators prefer to site most of their masts adjacent to
higher hierarchy of roads in and around residential and commercial areas. Accessibility
is considered as the major factor for this pattern since the base stations
(masts) need to be serviced on regular basis especially for the supply of fuel
for the electricity generating sets that power the base stations.
Table 13: Factors that influences Masts Location.
S/N
|
Variables
|
Service
providers
|
1
|
Population
|
All Service Providers
|
2
|
Topography
|
|
3
|
Technical specification
|
|
4
|
Land use
|
|
5
|
Security of Land location
|
|
6
|
Accessibility of Location
|
|
7
|
Availability of Power and Electricity
|
|
8
|
Size of Land of the Area
|
|
9
|
Regulatory Standards
|
|
10
|
Proximity of Base Stations
|
Source:Researcher’s Field Survey, 2015.
Table 13
revealed the factors influencing the location of masts in the study area. The
result shows that there are 10 key factors and these include: accessibility,
land value, size of land area, population, and availability of
power/electricity, security, and proximity to other base stations, topography,
regulatory standards and technical specifications. These factors were ranked
based on their importance. Population was ranked first, followed by topography,
technical specifications, land value, security level of the location, N
accessibility to the location, availability of power, size of the land,
regulatory standard (Planning/NCC) and lastly proximity to other base stations.
While there is an agreement among telecommunication operators about the most
important factor being population of the area, there is no common template used
as guide in the choice of location. Hence availability of land becomes a
dominant factor of location and the implication of this is that most of the
locations are unplanned and thus the spatial distribution is likely to be
haphazard.
REGULATORY
AUTHORITY
Respondents Years of Working Experience.
The researcher
wanted to know the number of years each respondent have been working. This will
help determine how certain the data generated by them, as experience the say is
the best teacher.
Fig. 6: Respondents Years of Experience
In a total of
fifteen respondents, 2 respondents representing 13.3% had one to five years
experience. This was followed by those with five to ten years working
experience, having 4 respondents representing 26.7 %. Those with ten to fifteen
years of experience were 6 representing 40% while those with 15 years and above
was 3 representing 20% respectively (Fig. 6). It showed that majority of the
respondent’s posses a working experience ranging from five to fifteen years and
above representing 66.7% (Fig.5). These period and percentage representations
are relatively good enough to provide a reliable data.
Table 14: Response on the Criterion for Masts
Approval
S/N
|
Criteria
|
1.
|
Location away from schools
and flight path etc.
|
2.
|
EIA Certificate from
Ministry Of Environment
|
3.
|
EIA Produced report
|
4.
|
Evidence of Site Acquisition
and Lease Agreement
|
5.
|
Payment of relevant fees
|
6.
|
Site visitation by
Development Control and Town Planners
|
Source :Enugu State Ministry of Land & Urban
Development (ESMLUD), 2015.
Table 14
indicated that the criterion for approval of masts are, location away from
schools and flight path, EIA Certificate from Ministry of Environment, EIA
produced Report, Evidence of Site Acquisition, Payment of relevant fees and
site visitation. The researcher from her field observation observed that
majority of the masts erected do not follow the criterion given by the
regulatory authorities, thus has affected the environmental planning of the
area.
Table 15: Mechanism in Monitoring the Erection of Telecommunication
Masts to ensure Compliance.
S/N
|
Monitoring Mechanism
|
1.
|
Through Development Control and Town Planners
Site Visitations
|
Source: Enugu State Ministry of Land & Urban
Development (ESMULD), 2015.
Table 15
indicated that regulatory authority monitors the erection of telecommunication
masts to ensure compliance through site visitations by development control and
town planners under town planning department. The researcher did ask why? They
responded that monitoring the erection of telecommunication masts will help
reduce its negative effect on the environmental planning as well as the
haphazard nature of masts erection by telecommunication operators. The
researcher from her field observation observed that despite the monitoring most
masts are sited contrary to the planning policy guidelines. This means that
compliance by regulatory authority was not strictly monitored for proper
sitting of telecommunication masts by telecommunication operators.
GENERAL ASSESSEMENT
Impact of Telecommunication Masts on Environmental Planning in Enugu Urban.
Table 16 : Response on how respondents rate the effect of Telecommunication Masts
on Environmental Planning.
S/N
|
Variables
|
Resident
Population
|
Service
providers
|
Regulatory
Authority
|
Total
|
Percent
|
1
|
Very Satisfactory
|
-
|
-
|
-
|
-
|
|
2
|
Not Satisfactory
|
104
|
2
|
9
|
115
|
38.7
|
3
|
Fair
|
44
|
2
|
1
|
47
|
15.8
|
4
|
Poor
|
129
|
1
|
5
|
135
|
45.5
|
|
Total
|
277
|
5
|
15
|
297
|
100
|
Source:Researcher’s Field Survey, 2015.
Table16
indicated that 38.7% of the respondents rate the effect of telecommunication
masts on environmental planning as not satisfactory; while 45.5% rates it poor,
this is followed by 15.8% of the respondents rated it poor. Further
interrogations on the field survey equally disclosed that out of the 15.8% that
rated it fair were those respondents that benefitted electricity, employment
and those compensated from the masts erected. This also means that majority
agreed that the effect of telecommunication masts on environmental planning is
not satisfactory.
Table 17 : Response on whether Telecommunication
Masts affects the Environmental planning of the Area.
S/N
|
Variables
|
Resident population
|
Service Providers
|
Regulatory Authority
|
Total
|
Percent
|
1
|
Yes
|
206
|
2
|
15
|
223
|
75.1
|
2
|
No
|
34
|
2
|
-
|
36
|
12.1
|
3
|
Undecided
|
37
|
1
|
-
|
38
|
12.8
|
|
Total
|
277
|
5
|
15
|
297
|
100
|
Source:Researcher’s Field Survey, 2015.
Table 17
revealed that 75.1% of the respondents agreed that telecommunication masts have
effect on environmental planning. While 12.1% of the respondents said No. This
agreed with the previous responses and goes further to buttress that some of
the respondents benefitted from the sitting of the mast.
Validation
of Hypotheses
Hypothesis
One: Ho – There is no significant variation between telecommunication masts locations
as measured by their spatial distribution in selected layouts plan of Enugu
Urban.
The intent of
the hypothesis is to see whether there is a significant variance between
telecommunication masts locations as measured by their spatial distribution in
selected layouts plan of Enugu Urban.
Data
Used:
1.
Respondents
opinion on line used; Fig. 2
2.
Distribution
of telecommunication masts in selected layouts; Table 5.6
3.
Measurement
of distances between telecommunication masts in selected layouts of Enugu
Urban; Table 5.7
Statistical Instrument used: one way
analysis of variance
Model Xij = µ+άi + eij ………… (1)
I = 1, 2,….p
J = 1, 2,....q
Where: Xij is the jth observation in the
ith treatment, µ is a constant, άi is the mean effect of the ith treatment
and eij is the error associated with the observation Xij
F –ratio = | Ms between |
Ms within |
Table 18 : Summary of statistical analyses between
telecommunication masts location and their spatial distribution in selected
layouts plan. (See appendix 2a detailed calculations).
Source of Variation
|
Telecommunication Masts and their
Spatial Distribution
|
||||
|
Sum of Squares
|
Degree of freedom
|
Mean sum of Squares
|
F
|
Decision
|
Between Groups
|
234.32
|
2
|
117.16
|
108.48
|
Rejected
Hypothesis
|
Within Groups
|
29.27
|
27
|
1.08
|
||
Total
|
263.59
|
|
|
Source:Researcher’s Field Survey, 2015.
NSV – No Significance Variance
In testing
hypothesis 1 which states that there is no significant variation between
telecommunication masts location as measured by their spatial distribution in
the study area at 5% level ANOVA test used. The result of the one way ANOVA
test F calculated of 108.48 > F critical of 3.35 (in the selected layouts)
as in table 5.14, at 27 degree of freedom, this follows that Ho: 1is
rejected. This implies that the spatial distribution of telecommunication masts
differs significantly in terms of their location in layouts plan.
Table 5.14
showed the summary of statistical analyses of telecommunication masts as
measured by their spatial distribution in layouts plan of Enugu Urban. The
table indicated that there is a significant variation between telecommunication
masts location as measured by their spatial distribution in layouts plan.
Implications
of one way analysis of variance results
One way analysis
of variance statistical tool was used to test whether there was no significant
variance between telecommunication masts location as measured by their spatial
distribution. The analyses revealed that there is significant variance in
telecommunication masts location as measured by their spatial distribution.
Field observation also supported the fact that majority of these masts do not
follow a conscious planning pattern in the selected layouts of Enugu Urban. The
general implication is that telecommunication masts location differs
significantly in terms of their location and spatial distribution.
Hypothesis
Two: Ho – There is no significant variation in the attributes of masts location as
measured by their land uses in selected layouts.
The intent of the hypothesis is to test
whether there is a significant variation in the attributes of masts location as
measured by their land uses in Enugu Urban.
Data
Used:
1.
Response
on the nature of masts location; Table 5.9
2.
Assessment
of plot size and height of masts; Table 5.10
3.
Nature
of adjacent land uses of masts locations; Table 5.11
Statistical Instrument used; one way
analysis of variance
Model Xij = µ+άi + eij ………… (1)
I = 1, 2,….p
J = 1, 2,....q
Where: Xij is the jth observation in the
ith treatment, µ is a constant, άi is the mean effect of the ith treatment
and eij is error associated with the observation Xij
F –ratio = | Ms between |
Ms within |
Table 19: Summary of statistical analyses on the
attributes of masts location in their various land uses.
Source
of Variation
|
Attributes
of Masts Location and their Land Uses
|
||||
|
Sum of Squares
|
Degree of Freedom
|
Mean sum of Squares
|
3.43
|
Accepted Hypothesis
|
Between Group
|
1161.73
|
2
|
580.87
|
||
Within Group
|
3045.47
|
18
|
169.19
|
||
Total
|
4207.15
|
|
|
Source:Researcher’s Field Survey, 2015.
NSV
– No Significance Variance
Implications
of one way analysis of variance results
One way analysis
of variance statistical tool carried out was used to test whether; there is a
significant variance in the attributes of masts location as measured by their
land uses in selected layouts of Enugu Urban at 5% level ANOVA test used. The
statistical analyses presented F cal. of 3.43 < F critical of 3.55 at 18
degree of freedom hence hypothesis 2 is accepted (Table.19). The analysis
revealed that there is no significant variation in the attributes of masts
location as measured by their land uses. Field observation also supported that
the location of telecommunication masts in the study area lack co-ordination in
terms of land use planning. The general implication was that there is no
significant variance in attributes of masts location as measured by their land
uses.
Hypothesis
Three: Ho – There is no significant difference in
responses of the respondents on the negative impact of telecommunication masts
on environmental planning in the study area.
The intent of the hypothesis is to test
whether telecommunication masts has impact on environmental planning in study
area.
Data
used.
1.
Response
on how they rate the effect of telecommunication masts on environmental
planning of the area; Table 19
2.
Response
on whether telecommunication masts affect the environmental planning of the
area; Table 5.16
Statistical Instrument Used: Chi-square tests
Table 20: Summary of Chi-square results on the
impact of telecommunication masts on environmental planning of the area. (See
details in appendix 2c).
Variables
|
Calculated
value
|
Critical
value
|
Degree
of freedom
|
Decision
|
Determining telecommunication masts
and its effect environmental planning
|
9.35
|
9.49
|
4
|
Accepted Hypothesis
|
Source:Researcher’s Field Survey, 2015.
NSD
– No Significant Difference
Chi- square
statistical analysis was used in hypothesis 3, to test whether there is no
significant difference in responses of the respondents on the negative impact
of telecommunication masts on environmental planning at 5% significant level.
The results revealed that Fcal. 9.35 < F critical of 9.49 at 4 degree of
freedom; hence Ho is accepted and Ha is rejected(Table. 20).
DISCUSSION
The activities
of telecommunication operators in the context of environmental planning cannot
be over emphasized. These include; violation of land use regulation resulting
in aesthetics nuisance, city beautification, disruption of urban scene,
diversion of building plans, roads and drainages, falling masts on houses
causes destruction to properties thereby affecting man and the environment. All
these have impact on the environment and general layouts plan in the selected
layouts of Enugu Urban; this presents a glimpse of greater challenges to the
telecommunication operators and regulatory agencies more than ever before. If left
unchecked the indiscriminate erection of multiple single user telecommunication
sites within the study area will turn to eye sore and a major problem to urban
managers. The impact of telecommunication masts in Enugu Urban was assessed on
the basis of its spatial distribution and layouts plans. Also assessed were its
attributes in relation to their land use and its impact on environmental
planning. The findings showed that the distribution of telecommunication masts
in Enugu Urban is random. This support the fact that telecom operators do not
follow the conscious planning pattern (i.e. do not adhere to the criterion,
standards and guidelines for sitting of masts by NCC and regulatory
authorities) hence, environmental planning is affected. Field observation showed
that the spatial distribution of masts is neither clustered nor dispersed but
random in nature. Also it was observed that the distance between masts
locations in high density layouts is less than 1km, while the one for medium
density ranges from 0.7km to 1.4km and higher than 1km in high density areas.
This result confirms the earlier low ranking of proximity of masts as a factor
of masts location by telecommunication operators. The random pattern observed
further confirms the absence of a definite spatial planning and technical
threshold standard to guide masts locations. However, the result of ANOVA test
revealed that the distribution of telecommunication masts differs significantly
in terms of their locations and spatial distribution. This research identified
that the prime actors agreed that telecommunication masts has impact on
environmental planning in Enugu urban. In their opinions they were not
satisfied with the environmental planning and are making clarion calls for
stringent policies to be made for sitting of telecommunication masts, for
example the use of “Co-location of Telecommunication Infrastructures. i.e. the
use of single cell site by multiple telecommunication operators. This will
reduce the erection of multiple single cell sites; curtail multiple
environmental problems spread across by each operator. Hence, this research
proffers the need to enhance proper environmental planning to boost
environmental quality in Enugu urban, as a recent assessment among
telecommunication operators and the environment planning.
CONCLUSION
This research
assessed the Impact of Telecommunication Masts on Environmental Planning. The
study was carried out in Enugu Urban Area of Enugu State Nigeria. Hence this
study has investigated the spatial distribution of masts, attributes of
telecommunication masts and their land uses and its impact on environmental
planning. The study concludes that the spatial distribution of masts locations
is random and this is due to the absence of definite spatial planning efforts
to guide the telecommunication operators in the location of their
infrastructure. This situation will surely have effect on environmental
planning which are not yet determined. It concludes further that future
expansion will be difficult in the face scarcity of ideal property and
stringent physical planning regulations. In the future, more residential,
commercial and industrial land uses will have to give way to telecommunication
masts especially in high density residential areas either through lease or
outright purchase of such properties by telecommunication operators. The study
also concludes that population and availability of land rather than standards
and government regulations influence location of base stations in Enugu urban.
In addition there should be adoption of new global trend in telecommunication
management which is suitable to both service providers and residents
population. The use of “Co-location of telecommunication infrastructures.
Co-location is the use of single cell site by multiple telecommunication
operators will reduces the erection of multiple single cell sites, Such
Co-location infrastructures should also be environmental friendly and should
enhance effective environmental planning. Co-location is at the moment in
practice in USA, Europe, Asia some part of Africa such as Kenya, Mauritius etc.
Recommendations
This research
recommends the precautionary approach for the deployment of telecommunication
infrastructure in Enugu Urban Area of Enugu State Nigeria. From the data
collected from various respondents and in line with current global trend in
telecommunication management, the following measures could be adopted in the
deployment and management of the future location, distribution of
telecommunication masts with the following recommendation as deduced from this
study;
1.
Government
should make it mandatory for telecommunication service providers through proper
legislative backing to erect environmental friendly GSM masts, with landscaped
perimeter fencing and encourage the use of stringent policies to reduce its
impact on environmental planning. The legislative backing to be passed by the
State House of Assembly should include current acceptable environmental
practice a standard for each mast to be erected failure to comply would attract
stiff penalty and subsequent violations to attract heavier fines.
2.
Government
should take inventory of existing telecommunication masts with a view to
exploring the use of collocation infrastructures by the telecommunication
service providers themselves. The use of Co-location will reduce the use of
multiple single user telecommunication infrastructures. Co-location is the use
of single cell site by multiple telecommunication operators. This will reduce
the erection of multiple single cell sites, reduce violation of land use which
poses aesthetic nuisance, visual intrusion which is at conflict with city
beautification and curtail multiple environmental problems spread across by
each telecommunication operators. Such Co-location infrastructures should also
be environmental friendly and should enhance effective environmental planning.
3.
Government
should in conjunction with a Technical Telecommunication Infrastructure
Provider together with legislative backing set up a Co-location
Telecommunication Infrastructure for all Service Providers to subscribe to.
This involves passing into law by the State House of Assembly the use of An
Independent Co-location Infrastructure Provider as a permanent solution to
erratic mast erections, appropriate parcels of land of average 20m X 20m to
accommodate a maximum of six (6) operators per location and liaising with
technical partners to provide Co-location Infrastructure that will be subscribe
by the service providers. This will act as income generating opportunity for
the state, employment opportunity and in general sound environmental practice.
4.
The
study also recommends that Government agency in charge of planning of
telecommunication masts should be alive to its responsibilities given the
unplanned nature of masts locations. It recommends further that the telecommunication
operators should put in place their infrastructural expansion plan which should
be integrated with the existing land use plan of the residential areas.
5.
It
is also recommend that all the prime actors should take responsibility of
abiding by the policies, standards and criterion guiding the erection of
telecommunication masts to reduce its impact on environmental planning.
6.
In
addition, it is recommended for further research: factors mitigating the impact
of telecommunication masts on environmental planning a global challenge.
ACKNOWLEDGMENT
I wish to express my unalloyed
gratitude to my parents Mr. and Mrs. Queen Eyankware for their support
throughout the period of the research. My special thanks go to Mr. Nnemeka
Chukwu of Enugu state ministry of land and survey for help in acquiring
necessary information.
REFERENCES
·
Eze,
F.C. (2012): Introduction to Analysis of Variance Vol.1. Enugu Lano Publishers.
·
Pitchard,
B. (2006): Communication Breakdown-mobile Phone Masts and Planning. January 7,
pp 28.
How to
cite this article: Eyankware ROU, Iyi EA, Okwu VUD et al. Impact of telecommunication masts on environmental planning in Enugu urban area
of Enugu state. International
Journal of Science & Healthcare Research. 2016; 1(1):1-17.
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