Format Template


 

  Vol. 5, No. 1 | January – June 2021 

 

 
 

 

SJCMS | P-ISSN: 2520-0755| E-ISSN: 2522-3003 | Vol. 5 No. 1 Jan – June 2021 

59 

Challenges Faced in the Collection and Disposal of Municipal 

Solid Waste: A Case Study of Sanghar City 

 

Laraib Bhatti1,  Mir Aftab Hussain Talpur1, Irfan Ahmed Memon1, Imtiaz 

Ahmed Chandio1, Fahad Ahmed Shaikh1

Abstract:  

The generation of municipal solid waste in many cities has increased as the population is 

increasing. Mismanagement of MSW collection is creating, health hazards, socio-economic 

problems, and deteriorating environments. This research aimed to examine the SWM problems 

and to identify SWM issues through the inhabitant's perspective and propose a sustainable 

method to control, collect, treat, utilize and disposing of Municipal SW in Sanghar City. Hence, 

the objective of this study is to achieve through cluster sampling, for the residential questionnaire 

study, a sample size of 384 was obtained and descriptive statistics and regression and correlation 

analysis methods have been used to evaluate the data collected. As a result, the collection of 

MSW is quite inappropriate and constricted to the influential area and solid waste keeps on 

scattered throughout the remaining areas. In recent years, the mismanagement of MSW has 

become a major problem in Sanghar city. The key problems of SW in the city are indiscriminate 

disposal, improper collection, inadequate storage, and insufficient facilities. To address these 

issues, the management of the disposal of SW must be carried out with the complete participation 

of the respective communities.  

Keywords: Municipal solid waste; collection; disposal; quality of life; residential satisfaction.

1. Introduction 

 In general, MSW is a collection of 

commercial and household waste created by 

the living population [1]. Municipal Solid 

Waste contains recycled paper, cans and 

bottles, food waste, yard trimmings, and other 

products [2]. Municipal solid waste comprises 

any human-derived waste that is usually 

unwanted as unnecessary or discarded [3]. 

MSW is a substance that is no longer useful to 

the individual responsible for it, nor is it meant 

to be released directly in a pipe. Normally this 

does not contain human excreta [4]. MSW is 

produced domestically and commercially in 

                                                           
1 Mehran University of Engineering and Technology, Jamshoro Sindh Pakistan 

Corresponding Author: blaraib01@gmail.com 

public places and streets. The words 

“garbage”, “trash”, “refuse” and “rubbish” 

were used to refer to some categories of MSW. 

MSW is therefore any raw material that comes 

from residential and commercial operations 

and is deemed to be discarded by those who 

own it. It takes us to municipal solid waste 

sources [5].  

 

MSW is one of the big environmental issues 

facing cities in many underdeveloped 

countries, including Pakistan. The growth of 

the economic and urban population is leading 

to an increased generation of municipal SW. 

The use of products that cause toxic waste is 

mailto:blaraib01@gmail.com


Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

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another burden. Unmanaged disposal of city 

solid waste adds to pollution and general 

prosperity risks in the districts. Especially in 

low-income groups, most regions lack a 

collection of refuse. Locals in low-income 

societies tend to dump or burn their trash in 

close empty areas, particularly government 

sites and rivers [6]. The highest generation of 

waste of the Kumasi metropolitan area was 

recorded at 0.75 kg/person/day [7]. Due to the 

absence of laws and regulations, fundraising, 

self-awareness, management and knowledge, 

and the collection of cars, machinery, and 

recycling technology, it is unable to manage 

the continually increasing waste products 

quantity [8]. 

 

Therefore, Proper management of MSW is 

important for minimizing the impacts of 

environmental conditions and land 

degradation. Proper management of MSW has 

become a big issue among many cities in the 

developing world, and Pakistan is one of them 

[9]. It is assumed that if MSW is properly 

handled, it can be a beneficial resource, but if 

it is not managed efficiently, it can become a 

cause of environmental and human hazards. 

More to the point it is also believed by 

different institutions that is one of the most 

important components parts of urban 

sanitation is municipal SW management. 

There is a lack of planning and management 

in Sanghar City. There are no appropriate 

arrangements for the management of SW. 

This research concentrates on the present SW 

management framework especially in the 

district and its adverse effects on condition 

and to survey the system, practices, and 

obligations of different organizations required 

in strong waste administration inside the 

premises of the city zone. 

2. Literature Review 

Improper management of SW creates different 

environmental and health problems for local 

people in cities. Mechanisms of municipal SW 

management in developed and 

underdeveloped counties are also discussed in 

this review. This literature may use to 

accomplish research objectives and give 

support to suggest a better mechanism of 

municipal solid waste management to solve 

overcome problems in the study area. The 

rapid population growth and urbanization 

process translate into more waste created [10]. 

Another research in Kolkata, India, found that 

a lack of facilities exists, and those improper 

bin collections are to blame for inadequate 

municipal solid waste collection and 

transportation. These studies have shown that 

this issue must be addressed because it 

directly affects the climate and culture. 

2.1. Municipal Solid Waste 

It is a global challenge to manage 

environmentally sustainable municipal solid 

waste [11]. However, many municipalities fail 

to control solid waste management issues, due 

to a not properly managed system [12]. While 

some administrated bodies have formed 

environmental protection plans of action, 

rules, which are, unfortunately, just take on 

only in capital cities [6]. Open space areas are 

used for dumping in most cities [12]. 

Reducing this problem is the biggest challenge 

for developing nations such as Pakistan. The 

public playing a significant part in reducing 

and managing this problem in general. In 

Pakistan, it is revealed that there are nearly 

produced 64,000 tons per day of solid waste 

[13]. These come out to be an insufficient 

understanding of the problem of solid waste 

management (SWM), whereas the first and 

efficient management of waste is just feasible 

to a public behavior [14]. Japan is reported to 

be effective in decreasing solid waste by 

applying a shared accountability notion where 

the public separates the waste before dumping 

it into fuels, non-burnable, and recyclables 

[15]. 

 

 

 

 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

61 

2.2. Comparison of the activities of MSW 
management in Pakistan and other 

countries.  

Those countries with a lower GDP produce 

less SW [16]. By refusing this statement, it 

explains that SW generation is gathered from 

information provided by a variety of sources 

in cities, considering municipalities, NGOs, 

research centers, higher education institutions, 

or even the first author. Whereas GDP is a 

national economic measure. Table 1 displays 

the generation of MSW coming from various 

regions and countries. 

The amount of MSW produced increases as 

the population increase, as shown in Figure 1. 

MSW generation per capita is inversely 

proportional to national economic growth and 

varies by country. 

3. Material and Methods  

The data was gathered from various primary 

and secondary sources of data. Secondary data 

were gathered using comprehensive sources, 

i.e. literature studies in books and journals 

written. I have selected district Sanghar City 

and the data have been obtained and analyzed 

in SPSS 22.0 using descriptive analysis and 

the technique of regression and correlation 

analysis. The data identified the main critical 

causes for the city of Sanghar and discussed 

their possible solution with the field expert. 

The area selected for research purposes is 

Sanghar city to examine significant issues of 

MSW management. Sanghar is the 

headquarters of Sanghar 

district and Sanghar Taluka. As per the 

census, 2017 total population of Sanghar 

city is four, 34,087. The total area of Sanghar 

city is 2,218 square kilometers. The 

Coordinates of Sanghar city is 26°2'49" N 

68°56'54"E. Generating Solid waste is 350gm 

per person per day. The total generation is 

over 250 tons. Sanghar has located 

approximately 265km from Karachi.  

 

 

 

 

 

 

 

 

 

 

 

Fig 1: Estimation of Population and generation of MSW in Pakistan (Kawai and Tasaki, 2016) 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

62 

Table I: Generation rate of MSW in different 

countries 

 

 

 

Fig 2: Sanghar district Map (Source: Google 

Map) 

3.1. Method 

The data was collected from a field survey 

through various techniques i.e. quantitative 

methods, a detailed personal field survey. 

Besides, the quantitative method was utilized 

to obtain detailed information about 

"municipal solid waste management" and its 

impacts on research area residents. A uniform 

questionnaire was developed and collected 

from the selected area residents. 

Detailed survey for 

municipal solid waste carried out through per

sonal field surveys, personal 

interviews, questionnaires. The questionnaire 

may contain open-ended or close-ended 

questions depending on the nature of the 

research. 

During the day, the survey was conducted for 

the residents at their homes. The aims of the 

survey were mentioned to potential residents 

during the survey [17]. The purpose of this 

data collection was to find out people's views 

on the impacts of inadequate SWM on the 

environment and human health. This strategy 

has helped test public perceptions of the issue 

of SWM. It also helped to determine whether 

their perceptions of the impact that the 

improper management of SW can have on the 

environment, likewise on human health is 

reliable. 

Many unnecessary materials are produced in 

every area of human life, and these materials 

are discarded simply because they are 

considered waste. Waste is a core problem in 

developing countries where waste generation 

per production unit is far higher than in 

developed countries due to unsustainable 

manufacturing practices, poor design, and bad 

decision-making eventually. The goal of this 

study was to identify the problems with SWM 

in Sanghar and its effect on SW management 

practices. This work is investigative, as well 

as casual with a total population of 434087 a 

sample size of 384 is used. The self-

administered Questionnaire instrument has 

been used to collect study data. 

The analyzes of the collected data are based 

on quantitative data analysis techniques (such 

as mean, percentages, ratios, and standard 

deviation) and qualitative data analysis 

techniques (such as content analysis). It was 

found that not all of the issues facing SWM 

activities were considered major challenges 

but the only institutional structure and 

appropriate laws on SW management. The 

impact of the problems on waste management 

practices on the results leads to inefficiency in 

solid waste management practices. Based on 

this study's results, it is suggested that 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

63 

management adopt steps to address the 

problems facing SWM practices. 

3.2. Sample Population 

The standard sample population and size of 

the households must be calculated. The 

standard level of the total population is (5-

10%) which can be used as a sample of the 

total population [18].  

 

TABLE II. Population Sample (Estimated) 

Taluk

a 

Populati

on in 

2017 

Total 

Populati

on 2021 

(project

ed) 

5% 

Sample 

Standa

rd 

Selecti

on 

Number Of 

Sampled 

Households 

(Questionnai

res) 

Sangh

ar 

4,34,08

7 

4,39,319 384 384 

 

Sanghar population was 434087 as per Census 

2017 with 50% population proportion and the 

questionnaire sample size is 384 which is 

taken in (Krejcie and Morgan 1970) table [19]. 

5% sample standard selection is taken in 

the(Israel 1992) table [20]. Clusters from the 

study area were chosen, which have at least 10 

residential units and possessed similar 

socioeconomic characteristics. As one 

questionnaire would be able to represent 10 

households and approximately 60 inhabitants. 

Similarly, 384 questionnaires would 

exemplify 3840 households and 23040 

persons in the study area. With the help of 

quota sampling, this proportion did take into 

account to satisfy the standard levels of 

population and sampled households. Thus, the 

proportions were made and cluster-sampling 

methodologies were implemented [21-29]. 

To conduct data about the existing mechanism 

of municipal solid waste management, 

machinery, workforce, existing duping points, 

mod of municipal solid waste collection, 

Tehsil Municipal Administrations (TMA’s) 

Rules, and Bylaws the interviews were 

conducted from different officials of 

concerned authority working on MSW 

management. To also conduct interviews to 

know about a previous study on municipal SW 

management in the city. The following 

detailed information was received from the 

authorities concerned about their department 

[30-34]. 

4. Results and discussion 

Two waste disposal sites have been chosen 

and visited to observe the problems 

surrounding municipal solid waste 

management (SWM) in Sanghar, as well as to 

understand the sources and forms of waste 

disposal. 

 

2.3.  Sources of Municipal Solid Waste 

Municipal SW sources are categorized into 

two categories of residential and commercial 

waste. This categorization was based on 

observations made during visits to the site. 

Each one source led to various forms of 

residues. Waste forms found during disposal 

station visits included cardboard, batteries, 

paper, wood, plastics, glasses, etc. The details 

of the waste found at the disposal site 

concerning its generation source are discussed 

in Table III. 

 

TABLE III. Sources and Types of Municipal 

Solid Waste 

Source Typical 

Location 

Types of 

Solid 

Waste 

Residential 

 

House/ 

Apartment

s 

Food 

waste, 

cardboard, 

chemicals, 

bottles, 

metals, 

textiles, 

dust, 

paper, 

special 

waste 

(bulk 

foods, 

consumer 

electronics



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

64 

, batteries, 

oil, and 

tires), and 

household 

hazardous 

waste. 

Commercial/Municip

al 

Offices, 

restaurants

, hotels, 

markets, 

and stores 

Paper, 

cardboard, 

iron, 

wood, 

plastics, 

food 

waste, 

glass, 

Special 

waste, 

toxic 

waste 

 

Structured questionnaires and unstructured 

interviews were conducted at the disposal sites 

during the visit with the staff and the 

individual responsible for managing the 

waste. By analyzing 384 questionnaire forms 

obtained during these visits, the respondents 

were statistically analyzed to reach a 

consensus. The objective of the questionnaire 

and the interviews were conducted to find 

explanations for the production of waste that 

was disposed of at the selected sites. The 

results obtained from the Likert questionnaire 

scale are discussed in Table IV. 

The mean of the first factor has 0.972 SD 

(Standard Deviation). Most of the respondents 

i.e. 281 out of 384marked this factor strongly 

agree. The major reason is, an increase in 

population is a common cause of waste 

generation in Sanghar city and most people 

agree with it that is why it has the highest 

value of RII too. For poor management, the 

factor has 0.945 SD (Standard Deviation). 

Most of the respondents i.e. 103 out of 384  

marked this factor strongly agree. For factors 

second and fourth, SD is within an almost 

equal range, here, the majority of the 

respondents are lying in SA (strongly agree). 

The major reason being the difference of 

opinion on this factor. As some people, 

observe a high level of awareness. However, 

others take in a different way i.e. generating a 

high level of waste. 

 

 

 

TABLE IV. Causes of Waste Generation 

No. 

Cause of 

Waste 

Generation 

Strongly 

Agree 
Agree Neutral Disagree 

Strongly 

Disagree 
Mean 

Standard 

Deviation 

Relative 

Important 

index 

Ranking 

1 
Increase 

Population 
281 47 34 11 11 1.5 0.972 0.9 1 

2 

Lack of 

awareness 

among the 

public 

103 126 55 56 44 2.51 1.33 0.6979 4 

3 
Poor 

Management 
279 50 33 14 8 1.49 0.945 0.901 2 

4 

Restrict 

Open 

Dumping 

Yards 

227 12 66 35 44 2.11 1.467 0.7786 3 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

65 

Therefore, these products should not be 

discarded at open dumpsites, appropriate 

disposal methods such as incineration, etc. 

should be implemented. Fig.3 and Fig.4 

demonstrate the open dumping of solid waste 

on the road. 

The second significant factor, as found by this 

study, is public awareness. The most common 

problem of the day now is a lack of knowledge 

about waste. It has been found that the public 

is not interested in reducing the production of 

waste but is increasing it by any means. The 

people do not accept it as their responsibility 

to reduce waste and dump it on roads that 

would make the world unpleasant and unsafe, 

and then start criticizing the government. The 

main role the public itself plays in this regard 

is to make them aware of the need of the hour 

through various social activities. 

Fig 1: Open dumping by the community of 

solid waste on the road. 

Poor or bad management of higher authorities 

has also been stated to be a major cause and 

ranked second. Management is the key to 

success for any organization in any situation 

but mismanagement, whether residential or 

commercial, can fail. Likewise, inadequate 

management of restaurants, commercial areas, 

and construction work contributes to a rise in 

the solid waste that can be avoided by creating 

an accurate management plan for each 

organization. 

 

Fig 3: Dumping sites on the road 

Furthermore, insufficient awareness of how to 

store materials may cause pre-use material 

harm, i.e. proper use of containers and 

materials to minimize waste (e.g., creatively 

storing and using leftovers). It will help 

householders reduce household waste; 

especially it is necessary for Sanghar city 

because most of the city is a residential area. 

Table V represents a Pearson Correlation 

Matrix showing the association of dependent 

and independent variables. The Asterisk (*) in 

the table shows that the 2- tailed correlation is 

significant at the 0.01 level, having a 

confidence level of 99%. In each cell 

represents its strength or relationship, whose 

detail is given in the legend of Table 4. The 

value of ±1 shows a perfect correlation, the 

value of ±0.9 to ±0.7 shows strong correlation, 

the value of ±0.6 to 0.4 shows moderate 

correlation, the value of ±0.3 to ±0.1 shows 

weak correlation, and unfilled cells shows no 

correlation. Most of the correlation values are 

negative; it shows how the relationship 

negatively affected the other variables. 

The number of males was 57.3%, and the 

number of females was 42.7%. Overall, 34.6% 

of respondents were aged 18 to 35, whereas 

13.5% were above 60 years. Regarding 

household size, 33.9% responded that they 

were 2 to 4 family members live in the house, 

25.5% were 5 to 7 family members, 22.7% 

were 8 to 10 family members, while 18.0% 

replied that they were more than 10 family 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

66 

members in their house. Concerning education 

and income, about 32.3% had a post-

graduation level of education, and 33.9% 

belonged to the category receiving a monthly 

income of RS 10,000 to 20,000 PKR, while 

20.1% received RS 2000 to 10,000. About the 

profession, 33.6% were unemployed, and 

2.6% was pensioner (see Table VI). 

 

TABLE V. Correlations among variables 

 

The description of the model and 

parameters for environmental factors are 

shown in Table VII. A value of 0.755 for 'R' 

shows that the environmental factors on 

municipal solid waste have a significant 

impact on people's quality of life. A value 

of 0.571 for 'R2' shows that the predictors 

lie close to the line of regression, i.e., a 

strong prediction point. A value of 0.565 

for 'Adjusted R2' shows that 56.5% of 

residents realize that environmental factors 

have a significant impact on municipal 

solid waste generation. Whereas waste 

disposal was found to harm the 

environment and health quality with values 

of -0.155, respectively. 

 

TABLE VI. Demographic characteristic. 

Characteristics Frequency % 

Gender   

Male 220 57.3  

Female 164 42.7 

Age   

18 to 35 Years 133 34.6 

36 to 45 Years 120 31.3 

46 to 60 Years 79 20.6 

Above 60 Years 52 13.5 

Occupation    

Employed 90 23.4 

Unemployed  129 33.6 

Self- Employed 56 14.6 

Pensioner  10 2.6 

            Student 99 25.8 

Education   

Uneducated  5 1.3 

Primary  77 20.1 

Matriculation  58 15.1 

Intermediate  12 3.1 

Graduation  108 28.1 

Post-Graduation 124 32.3 

Household-Size   

2 to 4 98 25.5 

5 to 7 130 33.9 

8 to 10 87 22.7 

Above 10 69 18.0 

Monthly Income   

RS 2000- RS 

5000 
77 20.1 

   1 2 3 4 5 6 7 8 9 

1 
Gender          

2 

Age .42
** 

        

3 

Educati

on 

-

.64
** 

-

.50
** 

       

4 

Employ

ment 

-

.31
** 

-

.42
** 

.27
** 

      

5 

Househ

old size 
.36
** 

.71
** 

-

.47
** 

-

.30
** 

     

6 

Income -

.59
** 

-

.72
** 

.61
** 

.37
** 

-

.63
** 

    

7 

Empty 

Dustbin 
.52
** 

.81
** 

-

.55
** 

-

.39
** 

.60
** 

-

.66
** 

   

8 

Generat

e waste 
.51
** 

.75
** 

-

.62
** 

-

.34
** 

.69
** 

-

.76
** 

.72
** 

  

9 

Disposa

l waste 

-

.44
** 

-

.49
** 

.64
** 

.06 

-

.56
** 

.55
** 

-

.51
** 

-

.53
** 

 

1

0 

Waste 

collecti

on 

-

.66
** 

-

.51
** 

.78
** 

.20
** 

-

.48
** 

.48
** 

-

.50
** 

-

.50
** 

.6

4** 

 

**. The correlation at level 0.01 (2-tailed) 

is significant. 

Note. N= 384, * ρ  < .05, ** ρ  < .01  



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

67 

RS 5001- RS 

10,000 
77 20.1 

RS 10,000- RS 

20,000 
130 33.9 

> 20,000 100 26.0 

 

 

TABLE VII. Coefficient of regression for 

environment variables 

R= 0.755, R2= 0.571, Adjusted R2= 0.565, 

Std. Error of Estimate= 0.683 

S.

no 

Factor Bet

a 

Std 

Err

or 

t-

test 

Sig

. 

 Constant 1.5

87 

0.1

98 

8.03

6 

0.0

00 

X1 Empty 

Dustbin 

0.4

18 

0.0

29 

14.6

62 

0.0

00 

X2 Disposal 

waste 

-

0.1

55 

0.0

44 

-

3.49

0 

0.0

01 

X3 Waste 

collection 

-

0.0

76 

0.0

42 

-

1.80

9 

0.0

71 

X4 Need for 

health 

education 

to create 

awarenes

s 

regarding 

solid 

waste 

managem

ent 

 

0.0

78 

 

0.0

30 

 

2.56

3 

 

0.0

11 

X5 Environm

ental 

impacts 

of solid 

waste 

around 

dumpsite

s 

 

-

0.0

0 

 

0.0

27 

 

-

0.21

0 

 

0.8

34 

 

The overview model and parameter 

estimates for economic factors are shown 

in Table VIII. A value of 0.696 for 'R' 

shows that the economic factors influence 

all household sizes in a residential area 

significantly. A value of 0.484 for 'R2' 

indicates the predictors lying on the 

regression line. A value of 0.479 for 

'Adjusted R2' indicates that 47.9 percent of 

residents think economic factors greatly 

influence the quality of life and the 

physical environment. Whereas income was 

found to be the negative impact factor with a 

coefficient value of -0.477. This can be 

explained as Sanghar City has gained a 

significant increase in residential density as a 

result of which the drainage and street 

conditions are getting worse and no one wants 

to pay for the cleaning of such waste that 

comes from the high-income family. They 

create more garbage as compare to the low-

income group. Thus, people complain about 

the disposal system and the condition of the 

street. 

 

TABLE VIII. Coefficient of regression for 

Economic variables 

R= 0.696, R2= 0.484, Adjusted R2= 0.479, 

Std. Error of Estimate= 0.755 

S.

no 

Factor Beta Std 

Err

or 

t-

test 

Sig. 

 Consta

nt 

3.095 0.24

7 

12.5

29 

0.0

00 

X6 Educat

ion 

0.135 0.04

6 

2.96

8 

0.0

03 

X7 Incom

e 

-

0.477 

0.04

7 

-

10.1

43 

0.0

00 

X8 How 

much 

will 

you 

pay? 

0.2

12 

0.04

0 

5.29

8 

0.0

00 

 

Table IX displays the overview model and 

estimation of parameters for the rules and 

regulation factors. A value of 0.494 for 'R' 

shows that the rules and regulation factors are 

contributing less among effective and efficient 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

68 

solid waste management of restricted 

open_dumping_yards in Sanghar city. A value 

of 0.164 for 'R2' indicates that the predictors 

are not outliers, but are far from the line of 

regression, i.e., not a good prediction point. A 

value of 0.156 for 'Adjusted R2' shows that 

only 15.6% of improper waste management is 

caused due to the rules and regulation factors 

of solid waste. According to the estimation of 

the differences between actual and estimated 

variables by 'standard error of the estimate,' 

value of 1.058 indicates that the difference 

between actual and estimated variables is very 

high.  

Whereas, increase penalties who violate the 

rules and regulations were found to be the 

element having a negative effect with a 

coefficient value of -0.100. And what the 

model predicts will not be as specific as the 

actual situation. 

 

TABLE IX. Coefficient of regression for 

Rules and Regulation variables 

R= 0.405, R2= 0.164, Adjusted R2= 0.156, 

Std. Error of Estimate= 1.058 

S.

n

o 

Factor Be

ta 

St

d 

Er

ro

r 

t Si

g 

 Constant 1.

63

5 

0.4

32 

3.

78

5 

0.

00

0 

X

9 

Restrict_open_

dumping_yard

s 

0.

30

4 

0.0

37 

8.

13

1 

0.

00

0 

X

1

0 

The 

management of 

SW is going to 

be solved. 

0.

30

4 

0.1

71 

1.

77

3 

0.

07

7 

X

1

1 

Increase 

penalties who 

violate the 

rules and 

regulations 

-

0.

10

0 

.04

1 

-

2.

44 

.0

15 

 

In Sanghar city, there is a Lack of Planning 

and Management. There is no appropriate 

arrangement for the administration of SW. 

Therefore, the municipality accumulation of 

family waste is very irregular and constrained 

to powerful ranges. Therefore, strong waste 

stays scattered all through the rest of the areas. 

To distinguish the issues in MSW in Sanghar. 

To highlight the strong waste issues of the 

neighborhood individuals.  

The current system of MSW administration at 

Sanghar city might be included with no 

appropriate principles and directions. Besides, 

this review can propose new and Improve 

instruments for the administration of civil 

strong waste administration. This exploration 

likewise can direct to receive a successful 

component of municipal solid waste 

administration to maintain a strategic distance 

from natural and well-being clashes in 

Sanghar city. Management and workers are 

not taking that waste the 86% of people are not 

satisfied with the actual situation of SW. The 

regression model used in this analysis to 

determine the environmental and public health 

effects is based on the variables selected. The 

main variables used in this work are 

descriptive statistics given in Table 6. The 

values depicted are based on the regular data 

points for all forms of MSW considered 

obtained from each source. 

Taking into view the significance of a policy 

in solving urban issues, recommending policy 

implications was based on the results of the 

analysis. Economic, environmental, and rules 

and regulations factors were found as the 

cause of improper management. This results 

in achieving the study’s objectives. To 

identify SWM issues through the inhabitant’s 

perspective.  

Fig.5 shows that the proposed plan for the 

municipal solid waste of Sanghar city and 

dumping site is also mentioned in this map. 

Green points show the skip containers and 

each container should be placed in every 

corner of the street, and the black arrow shows 

the dumping site, which is 50 acres of land, 

and this land is used for landfilling purposes. 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

69 

 

Fig 5: Image showing the proposed plan for skip containers and dumping site in Sanghar city. 

 

5. Conclusion  

My thesis aims to suggest a proposal for 

proper MSW dumping sites in Sanghar to 

enhance the city's quality of life and physical 

climate. The following goals are set to achieve 

this goal, and they are focused on data 

collected from primary and secondary 

sources. 

Municipal solid waste management is 

essential for a city's growth and physical 

condition because improper solid waste 

disposal degrades human health and causes 

diseases in the environment. This problem, 

however, can be resolved through proper 

waste management and collection, which is a 

critical need in every region, including 

Sanghar, which has been chosen as the 

research area. The research examines several 

causes of SW generation in Sanghar through 

visits and a simple questionnaire survey. The 

level of significance of the causes was 

observed by collecting data between the 

different respondents to the survey 

questionnaire. The study concludes that, with 

population increases, a lack of public 

awareness, poor management are a few of the 

critical causes of waste generation in the city. 

Discussions with experts have revealed that 

controlling the population, including 

controlling urban growth in the city, can bring 

down major issues. Increasing public 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

70 

awareness, effective management of the 

various organizations can lead to a decrease in 

waste generation in the city. The study 

through the results suggests that there is an 

utter need for an efficient SW management 

system in Sanghar. In this regard, the Local 

Government needs to put their efforts. The 

overall system from collection to its safer 

disposal requires special attention. Moreover, 

public awareness can help the system more. 

The Local Government should not only utilize 

the public funds on the maintenance of the 

entire system properly but also requires 

focusing on arranging a few programs like 

public meetings, seminars, workshops, etc. on 

monthly basis. These programs would be 

aware of the public, which is an important 

stakeholder in the reduction and proper 

management of SW. The results show that the 

residents of Sanghar city have not facilitated 

to dispose of their waste properly daily. 60% 

of the Cumulative Percent of ashes was 

produced because of the open burning of 

MSW. 28% of SW is disposed into the open 

space and 31%on the dump side where openly 

burn the solid waste. 33%of solid waste 

disposes of residents by self and due to lack of 

management and workers are not taking that 

waste the 86% of people are not satisfied with 

the current situation of solid waste. The 

regression model used in this study to identify 

effects on the environment and public health 

is based on the variables selected. The main 

descriptive statistics variables used in this 

work are shown in Table 6. The values shown 

are based on the daily data points collected 

from each source for all MSW types 

considered. The study can be expanded further 

to equate related work with other major cities 

in Pakistan and abroad. In this way, thorough 

literature in different countries can be checked 

and potential approaches can be further 

refined.  

AUTHOR CONTRIBUTION: All authors 

contribute equally in this research work. 

DATA AVAILABILTY STATEMENT: The data of 

the manuscript will be available upon the 

request.  

CONFLICT OF INTEREST: None  

FUNDING: There is no any source of funding 

for this research. 

References 

 
 [1]  R. e. a. Rajkumar, "Effect of naked neck gene 

on immune competence, serum biochemical 

and carcass traits in chickens under a tropical 

climate," Asian-Australasian Journal of 

Animal Sciences, vol. 23, no. 7, pp. 867-872, 

2010.  

[2]  G. e. a. Es’haghi, "Carbon nanotube 

reinforced hollow fiber solid/liquid phase 

microextraction: a novel extraction technique 

for the measurement of caffeic acid in 

Echinacea purpurea herbal extracts combined 

with high-performance liquid 

chromatography," Journal of Chromatography 

A, vol. 1217, no. 17, pp. 2768-2775, 2010.  

[3]  T. e. a. Tchobanoglous, Integrated solid waste 

management: Engineering principles and 

management lssues, McGraw-Hill, 1993.  

[4]  R. O. Bonow and L. A. e. a. Smaha, "World 

Heart Day 2002: the international burden of 

cardiovascular disease: responding to the 

emerging global epidemic," Circulation, vol. 

106, no. 13, pp. 1602-1605, 2002.  

[5]  E. D. Anomanyo, "Integration of municipal 

solid waste management in Accra (Ghana): 

Bioreactor treatment technology as an integral 

part of the management process," Lund 

University, Sweden, 2004.  

[6]  H. I. Abdel-Shafy and M. S. Mansour, "Solid 

waste issue: Sources, composition, disposal, 

recycling, and valorization," Egyptian journal 

of petroleum, vol. 27, no. 4, pp. 1275-1290, 

2018.  

[7]  R. E. Marshall and K. Farahbakhsh, "Systems 

approaches to integrated solid waste 

management in developing countries," Waste 

management, vol. 33, no. 4, pp. 988-1003, 

2013.  

[8]  M. A. Akhund and H. U. e. a. Imad, "Risk 

attributes, influencing the time and cost 

overrun in joint venture construction projects 

of Pakistan," Engineering, Technology & 

Applied Science Research, vol. 8, no. 4, pp. 

3260-3264, 2018.  



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

71 

[9]  T. WaterAid, "Sanitation and water: Why we 

need a global framework for action," London: 

WaterAid, 2008.  

[10]  P. a. S. P. Grover, "An Analytical Study oif 

Effect of Family Income and Size on Per 

Capita Household Solid Waste Generation in 

Developing Countries," American Research 

Institute for Policy Development, vol. 3, no. 1, 

pp. 127-143, 2014.  

  

[11]  A. Dino and U. a. S. K. Mustafa, 

"MUNICIPAL SOLID WASTE 

MANAGEMENT-ANALYSIS OF WASTE 

GENERATION: A CASE STUDY OF 

RAWALPINDI CITY, PAKISTAN," A J o u 

r n a l o f A d v a n c e s i n M a n a g e m e n t 

, I T a n d S o c i a l S c i e n c e s, 2011.  

[12]  Y. a. T. Y. Dhokhikah, "Solid waste 

management in Asian developing countries: 

challenges and opportunities," Journal of 

Applied Environmental and Biological 

Sciences, vol. 2, no. 7, pp. 329-335, 2012.  

[13]  K. Dobraja and A. a. R. M. Barisa, "Cost-

benefit analysis of integrated approach of 

waste and energy management," Energy 

Procedia, vol. 95, pp. 104-111, 2016.  

[14]  N. a. J. N. S. Ejaz, "Solid waste management 

issues in small towns of developing world: a 

case study of Taxila City," International 

Journal of Environmental Science and 

Development, vol. 3, no. 2, p. 167, 2012.  

[15]  A. R. Khoso and A. H. e. a. Memon, "Solid 

waste management issues in Hyderabad city," 

Mehran University Research Journal of 

Engineering and Technology, vol. 37, no. 3, 

pp. 653-662, 2018.  

[16]  L. A. Guerrero and G. a. H. W. Maas, "Solid 

waste management challenges for cities in 

developing countries," Waste management, 

vol. 33, no. 1, pp. 220-232, 2013.  

[17]  J. Chen and M. A. e. a. Hamon, "Solution 

properties of single-walled carbon 

nanotubes," Science, vol. 282, no. 5386, pp. 

95-98, 1998.  

[18]  N. J. R. G. C. B. L. F. a. T. S. Turner, "From 

invisibility to transparency: identifying the 

implications," Ecology and society , vol. 13, 

no. 2, 2008. 

[19]  P. Pasunon, "Sample Size Determination from 

Krejcie and Morgan (1970) approach in 

quantitative research," The Journal of Faculty 

of Applied Arts, vol. 2, pp. 112-20, 2014.  

[20]  G. Israel, "Determining sample size: 

University of Florida Cooperative Extension 

Service, Institute of Food and Agriculture 

Sciences, EDIS; 1992," Fact Sheet PEOD-6, 

2013.  

 [21] R. Gill, S. Kalwar, and I. A. Memon, "Yeh’s 

Satisfaction Index Modelling of Tenants in 

Rental Appartments (A Case Study of 

Latifabad Hyderabad)," Sukkur IBA Journal 

of Computing and Mathematical Sciences, no. 

2, pp. 1-10%V 4, 2021-01-05 2021, doi: 

10.30537/sjcms.v4i2.654. 

[22] S. Kalwar, I. A. Memon, and S. Qureshi, 

"Significance of National Spatial Planning for 

Economic Development of Secondary Cities 

in India: Critical Analysis of JNNURM 

Programme," Sukkur IBA Journal of 

Computing and Mathematical Sciences, no. 2, 

pp. 49-60%V 4, 2021-01-05 2021, doi: 

10.30537/sjcms.v4i2.658. 

[23] I. A. Memon, "Factors influencing travel 

behaviour and mode choice among Universiti 

Teknologi Malaysia employees," Universiti 

Teknologi Malaysia, Faculty of Built 

Environment, 2010.  

[24] I. A. MEMON, "Mode Choice Modelling to 

Shift Car Travelers Towards Park and Ride 

Service in the CBD of Putrajaya and Karachi," 

PhD, Department of Civil and Environmental 

Engineering, Universiti Teknologi 

PETRONAS, 2018. [Online]. Available: 

http://utpedia.utp.edu.my/id/eprint/18372 

[25] I. A. Memon, S. Kalwar, N. Sahito, S. 

Qureshi, and N. Memon, "Average Index 

Modelling of Campus Safety and Walkability: 

The Case Study of University of Sindh," 

Sukkur IBA Journal of Computing and 

Mathematical Sciences, no. 1, pp. 37-44%V 4, 

2020-07-29 2020, doi: 

10.30537/sjcms.v4i1.582. 

[26]  I. A. Memon, N. Madzlan, M. A. H. Talpur, 

M. R. Hakro, and I. A. Chandio, "A review on 

the factors influencing the Park-and-Ride 

traffic management method," in Applied 

Mechanics and Materials, Kuala Lumpur, 

June 2014, vol. 567: Trans Tech Publications, 

Ltd., pp. 663-668, doi: 

https://doi.org/10.4028/www.scientific.net/A

MM.567.663.  

[27] I. A. Memon, M. Napiah, M. A. Hussain, and 

M. R. Hakro, "Influence of factors to shift 

private transport users to Park-and-Ride 

service in Putrajaya," in In Engineering 



Laraib Bhatti (et al.), Challenges Faced in the Collection and Disposal of Municipal Solid Waste: A Case Study of 

Sanghar City                                                                                                                                                      (pp. 59 – 72) 

 

Sukkur IBA Journal of Computing and Mathematical Science - SJCMS | Vol. 5 No. 1 Jan – June 2021 

72 

Challenges for Sustainable Future: 

Proceedings of the 3rd International 

Conference on Civil, Offshore and 

Environmental Engineering (ICCOEE 2016, 

Malaysia, 15-17 Aug 2016), N. A. W. A. 

Zawawi Ed., 1st Edition ed. London: CRC 

Press, 2016, p. 566. 

[28] I. A. Memon, M. Napiah, M. A. H. Talpur, and 

M. R. Hakro, "Mode choice modelling method 

to shift car travelers towards Park and Ride 

service," ARPN Journal of Engineering and 

Applied Sciences, vol. 11, no. 6, pp. 3677-

3683, 2016 2016. 

[29] K. Shaikh, A. Memon, I. A. Memon, Z. A. 

Laghari, and A. M. Memon, "Awareness 

regarding Coronavirus pandemic among the 

population of Sindh, Pakistan: A cross-

sectional study," Sukkur IBA Journal of 

Computing and Mathematical Sciences, no. 1, 

pp. 28-36%V 4, 2020-07-29 2020, doi: 

10.30537/sjcms.v4i1.573. 

[30] M. A. Almomani, S. Basri, and A. R. Gilal, 

"Empirical study of software process 

improvement in Malaysian small and medium 

enterprises: The human aspects," Journal of 

Software: Evolution and Process, vol. 30, no. 

10, p. e1953, 2018. 

[31]  A. R. Gilal, J. Jaafar, S. Basri, M. Omar, and 

A. Abro, "Impact of software team 

composition methodology on the personality 

preferences of Malaysian students," in 2016 

3rd International Conference on Computer 

and Information Sciences (ICCOINS), 2016: 

IEEE, pp. 454-458.  

[23] A. R. Gilal, J. Jaafar, M. Omar, S. Basri, and 

A. Waqas, "A rule-based model for software 

development team composition: Team leader 

role with personality types and gender 

classification," Information and Software 

Technology, vol. 74, pp. 105-113, 2016. 

[33]  A. R. Gilal, M. Omar, J. Jaafar, K. I. Sharif, 

A. Mahesar, and S. Basri, "Software 

development team composition: personality 

types of programmer and complex networks," 

in 6th International Conference on Computing 

and Informatics (ICOCI-2017), 2017, pp. 153-

159.  

[34] M. Z. Tunio, H. Luo, C. Wang, F. Zhao, A. R. 

Gilal, and W. Shao, "Task Assignment Model for 

Crowdsourcing Software Development: TAM," 

Journal of Information Processing Systems, vol. 14, 

no. 3, 2018.