COLLEGE OF ST.
JOHN - ROXAS
Presented to the Senior High School Department
A.Y 2022 - 2023
In partial fulfillment
Of the learning area
Special Science Project
Happy Ride: An application for Convenient Commute Experience
Athasia Albaladejo
Jemwel Bengaura
Rose Ann Cel Maquiraya
Ron Damien Solis
Researchers
Robert Lee Demandante
Research Adviser
College of St. John - Roxas
Science, Technology, Engineering and Mathematics (STEM)
S.Y 2022 - 2023
CHAPTER I
INTRODUCTION
Background of the Study
In our rapidly changing world, digitization is one of the most significant changes.
Technological advances and digital innovations are catalysts for growth and leave their
mark everywhere. International Trade Administration (2022) states that about 44 million
Filipinos have smartphones, and according to media reports, they spend 144 minutes per
day on social media sites during their daily average online time of 10 hours. Working
from home, virtual learning, and other computer-based work are significant contributors,
as well as long and complex commutes
Commuting plays a significant part in ones everyday life. As billions of people
commute to and from a certain destination everyday. As according to Kumari et al.
(2010) and Rehrl et al. (2007) every day, people must go to work, children must attend
school, and products must reach the other end of the supply chain. However, as the
world's population continues to grow, transportation networks become increasingly
congested.
According to Novaco & Gonzalez (2009) Commuting places significant strain on
the human mind and body, as well as family relationships. Every day, all of the stressors
take their toll. Each additional minute of travel is associated with an increase in health
problems. Several studies have found that long-distance commuters are more likely than
short-distance commuters to suffer from psychosomatic disorders. Physical symptoms
1
include headaches, backaches, digestive issues, and high blood pressure. Sleep
disturbances, fatigue, and difficulty concentrating are all symptoms of mental illness.
Driving commuters have it especially tough—bad weather, traffic jams, and accidents all
contribute to stress
According to a mobility survey conducted in the Philippines in June 2022, 29
percent of respondents reported spending an average of 15 to 29 minutes daily
commuting to work, school, or university. Meanwhile, 26% of respondents said they
commuted for 30 to 59 minutes per day on average. (Statista Research Department
2022). Bissell D. (2015) states that people's behaviors toward others, goals for their work
and personal lives, levels of tolerance and what they can handle, and thought and
emotional patterns all undergo subtle but significant changes as a result of their commute
on everyday basis.
Statement of the Problem/Objectives
This study aimed to develop “Happy Rides: An application for Convenient
Commute Experience" and to establish a system that provides different rides offers for
commuters.
Specifically, it seeks to:
1. Can the application provides list of possible public transportation a
commuter can ride in a specific time?
2. Does it enable the riders to be notify on the commuters location?
2
3. Can the data base show all the schedule of arrival and departure of a
specific public transportation (bus,van, jeep).
4. Can the application be efficient, consider how well the application
provides all the necessary performance in terms of response and
processing time.
5. Can the application function well and provide accurate data.
6. Is the app compatible with various devices and operating systems
a. IOS
b. Android
c. Cellphone
d. Tablet
Hypothesis
The following hypotheses are based on the research problem that are highlighted:
1. Ho: The app cannot provide all the possible public transportation in a certain
time.
2. Ho: The riders cannot be notified on the commuters specific location.
3. Ho: The app cannot show everything that are arriving or departing public
transportation.
4. Ho: The application's would not be efficient and the application cannot provide
the required performance in terms of response and processing time.
5. Ho: The application cannot function well and cannot provide accurate data.
3
6. Ho: The application is not compatible therefore it cannot be installed in ios nor
android as well as in different devices.
Core Design
Figure 1. Core Design of the Study
Scope and Delimitation
This study is limited to help commuters with their commute. This study is limited
by its focus on producing an application. The goal of the study is to analyze, design,
develop, test, and implement an application that can make commuting more convenient
4
by giving users quick access to information about the availability of various public
transportation options.
Significance of the study
This study is beneficial to the following:
Commuters. The study would benefit the commuters to have them experience
convenience in commuting. It will enable them to have easy access to different
transportation.
Drivers. They will benefit from this study because they will gain more passengers
and will be able to prepare for a certain number of passengers who will ride.
Future researchers. This study will be a useful resource for other researchers
who want to conduct an in-depth study on developing an application that aids in public
transportation access.
Definition of Terms
To help to better understand the concepts used in this study, the following terms
were conceptually and operationally defined:
Coding- Computer programming languages, developed through a series of
numerical or alphabetic codes, instruct machines to complete specific actions. Computer
coding functions much like a manual. (computer science. Org. 2022)
In this study coding will be used to make the app and the device working.
5
Commuters- According to Cambridge dictionary co a person who regularly
travels between home and work.
In this study it will be the one who will benefit the study as well as part of the
testing process.
GPS- It provides users with positioning, navigation, and timing (PNT) services.
(GPS. GOV, 2021)
In this study GPS will be use to track the user or the commuters location.
Public Transportation- According to CDC 2018 public transportation include a
variety of transit options such as buses, light rail, and subways. These systems are
available to the general public, may require a fare, and run at scheduled times.
In this study public transportation is the one that will be used to test the app it will
also carry a GPS device.
6
CHAPTER II
REVIEW RELATED LITERATURE
This chapter provides the related literature and studies, after a thorough and in –
depth investigation by the researchers. The literature and studies presented in this chapter
discuss many ideas, concepts, generalizations, findings, and also the various
developments associated to the study from the past to the present. This will be used as a
guide for the researchers as they build the project. Furthermore, the information in this
chapter aids in familiarizing elements that are relevant and related to the current study.
Commuting
Commuting is prominent in daily life routines, and its significance impacts
personal, family, and organizational well-being. Understanding the stress-related
dimensions has broader relevance for system development, efficiency, and safety in
transit vehicles, as well as automobiles, because human cognitive, personality, and
performance factors affect vehicle operation. Transportation systems shape the structure
of our communities, and our experiences with them spill over into our personal and
professional lives Gonzalez (2009).
Commuters Choice
7
People choose to use public transportation as it is much cheaper. The choice of a
commuter has been found to be influenced by factors including connectivity or reach,
accessibility to a particular mode of transportation, information, time satisfaction, user
attendance, comfort, security and safety, and environmental impact (Del Castillo and
Benitez, 2012). In addition, it was discovered that the sensitivity to travel expenses was
consistent across all market segments. People who preferred driving were interested in
stress-free, leisurely travel. Additionally, income group played a role; lower income
groups tended compared to those in a higher income group, choose public transportation
(Bajracharya and Shrestha, 2017).
The choice of transport mode is also influenced by gender. Compared to men,
Thai, Malaysian, and Indian women were more likely to favor public transportation
(Satiennam et al., 2011). However, men from Indonesia, Japan, and Taiwan were more
likely to favor driving on their own (Dissanayake et al., 2012). Irish households with a
higher proportion of adults tended to favor using public transportation, like taxis or buses
(Nolan, 2003). Given that the service has improved, older Malaysians preferred public
transportation more than younger people did (Nurdden, 2007). On the other hand,
younger Japanese people are more mobile and tend to favor driving their own cars
(Dissanayake et al., 2012). The availability and accessibility of public transportation were
also important factors for Thai people, and the distance from a mass transit station was
considered important (Wibowo and Chalermpong, 2010). A person's behavioral intention
may also influence their mode of transportation choice (Dissanayake et al., 2012). A
commuter's socio-demographic profile, such as age, gender, personal income, or
occupation, also influences their preference (Vicente and Reis, 2016)
8
Commute Problems
In the transportation industry, welfare has traditionally been measured by the
objective effects of the transportation system, such as travel times and costs, crashes, and
environmental degradation. However, the subjective experience of transportation,
including how it contributes to overall happiness, is becoming increasingly popular
(Mokhtarian, 2019). According to Chaterjee et. al. (2019) commuting has objective
consequences for those who do it, such as the expenditure of time, money, and physical
effort, as well as the possibility of injury or pollution exposure.
Public Transportation
According to Kumari et al. (2010) and Rehrl et al. (2007), a good transportation
network is one of the first priorities of any modernized city because today's modern
society requires mobility in all aspects of life. In the Philippines only Metro Manila has
formal public transportation (the Light Rail Transit and Metro Rail Transit), while other
urban areas are served by privately run informal transportation, like the Jeepneys (Asian
Development Bank, 2012). Mayo et. al. (2019) states that sustainable transportation
system would be difficult to implement in a developing nation with as many
transportation options as the Philippines.
Road transport is by far the most popular subsector, accounting for 98% of
passenger traffic and 58% of cargo traffic in the Philippines Transport System (PTS). The
PTS includes transportation by water, air, and railroad (Torrens, 2015). The Philippines'
9
public transportation system is the textbook example of "underdeveloped," according to
an Asian Development Bank (ADB) study from 2012 that outlined the country's major
transportation issues both then and now. Commuting may be the least expensive way to
get where you're going, but it's not the most convenient (Pagkatotohan, J. 2022).
Transportation is dependable when it offers convenient, affordable, and safe
public transportation that is available to all members of society. The type of public
transportation vehicles must be operated in accordance with the road hierarchy, capacity,
and transportation demand that it served because it serves a large number of people. It is
thought that reliable public transportation will cut down on the number of private vehicle
drivers in the transportation industry. As a result, the companies would profit from the
decrease in traffic congestion, fuel waste, and lost time, as well as the positive effects on
the environment and public health (Ab Manaf, L. 2015).
Public Transportation Availability
The public transportation market is currently characterized by a significant
number of on-street rival operators for jeepneys, buses, Asian Utility Vehicles (AUVs),
or tricycles. For more than 900 routes, more than 830 bus franchises and over 43,000
jeepney franchises have been issued in Metro Manila alone, making it nearly impossible
for the government to regulate the public transportation market. This has caused an
inadequate supply of poor quality public transportation services as well as hazardous and
backed-up traffic conditions (Mariano, P. 2021).
Smarthphone Applications
10
Smartphone applications, or "apps," have permeated daily life, according to Smith
(2015). Computer programs known as apps are created to run on a variety of portable
devices, from smartphones to tablets (e.g., Apple iPhone, Samsung Galaxy Tab, Amazon
Kindle Fire). Mobile apps are specifically enhancing static (such as traffic, parking, and
public transit delays) and real-time information in urban transportation (e.g., timetables &
direction). The use of mobile applications and rapid evolution in transportation apps.
Smartphone applications (apps) have recently been pushed from the margins to
the center by technological and social forces. It's crucial for policymakers and
transportation planners to comprehend how transportation apps affect urban mobility
Bhattacharyya et. al. (2016). In a short period of time, Smartphones have replaced
landlines as the norm for mobile telephony, and Internet tablets are currently developing
quickly. These portable devices have sufficient hardware power to run an increasing
number of sophisticated applications Schaaff (2013).
Applications for smartphones are being used more frequently in transportation for
various purposes. Different smartphone navigation apps are available on the market to
assist drivers by showing them where they are currently located and guiding them to their
destination locations using voice instructions in various languages, graphics, and text
(Shaaban, 2019).
Digital Device Usage
11
In the Philippines, 97.2 percent of internet users used mobile phones as a digital
device in the third quarter of 2021. Nearly 97 percent of people in the country connect to
the internet via their smartphones (Statista Research Department, 2022).
Syntesis
CHAPTER III
METHODOLOGY
12
This chapter describes the methods and procedure that the researcher will employ
in the conduct of the study. This section is consists of the Locale of the study, Purpose of
the Study,Respondents of the Study, Research Design, Research Instrument, Data
Gathering Procedures, Data Analysis and Interpretation Procedure
Research Design
The present research aims to make Happy Rides an application for convimient
commute experience that helps in finding available public transportation in a specific
time. The Happy Ride application, which provides a convenient commute experience and
aids in locating readily accessible public transportation at a specific time, was the subject
of this study using the developmental research design. According to Richey, 1994 the
systematic study of designing, developing, and evaluating instructional programs,
processes, and products that must meet certain requirements of internal consistency and
effectiveness has been defined as developmental research, as opposed to simple
instructional development. Design-based research is clearly different from developmental
research. As a result of developing innovative instructional interventions, this research
places a strong emphasis on the study of learning (The Design-Based Research
Collective, 2003). Additionally, it differs from traditional research on media comparison,
instructional psychology, and message design. However, developmental research can
provide a direct response to the numerous demands for prescriptive research that
addresses the urgent requirements of practitioners Richey (1997).
13
Materials and Method
In conducting this research the materials that we will use are the following:
Smartphones (Android & IOS), Tablet, Laptop for Coding, GPS tracker module and
ESP2886
Locale of the Study
The research will be conducted in Capiz, a province which is situated in the
Western Visayas region's center.
General Experimental Procedures
14
Figure 2. The general experimental procedure
Data Planning and Gathering
The researchers will prepare the devices that will be used in this study. In
gathering data the researchers will be the ones collecting data for this study.
In order to make the application, the researchers will use the cross platform
software xamarin, maui. net and kotlin and MySQL software for the database. GPS will
also be use in tracking location.
Designing and Coding
The cross platform software xamarin, maui. net and kotlin and MySQL software
for the database.
Codes
- To follow
Operation and Testing
Upon following the creation of the software program, the application will be run
through trial and error testing. Once the application has been tested to make sure it is
operating properly, the study will be ready for review. The testing will be based on
its efficiency, portability, and stability of the application.
15
Figure 3. Procedural Design
Evaluation
The application was evaluated using the ISO/IEC 9126 standard
questionnaire. This model is regarded as a standard for evaluating software quality
because it is valid, reliable, and efficient. This is to determine the application's level
of quality in terms of functionality, reliability, usability, efficiency, maintainability,
and portability.
16
The following tests has been conducted to determine that the application's
functionalities are accurate.
A. Interface Test
The test evaluates on how effective the usability in the different mobile phone
devices.
0 - Not Running - The prototype is not working properly when used in the different
mobile phone operating systems.
1 - Running - The prototype is working properly when used in the different mobile
phone devices.
B. Stability test
The test evaluates how stable the prototype is in the different mobile phone devices.
0 - Not Stable - The prototype is not stable when used in the different mobile phone
devices.
1 - Stable - The prototype is stable when used in the different mobile phone devices.
C. Notification Test
The test evaluates on how effective the notification system operates.
0 - Not Notified - There is no notification displayed reminding the user minutes
before the application closes.
1 - Notified - There is a notification displayed reminding the user minutes before the
application closes.
17
References
Asian Development Bank. (2012). Philippines Transport Sector Assessment, Strategy,
and Road
Map. https://www.adb.org/sites/default/files/institutional-document/33700/files/
philippines-transport-assessment.pdf
Bajracharya, A.R., Shrestha, S., (2017). Analyzing influence of socio-demographic
factors on
travel behavior of employees, acase study of Kathmandu Metropolitan City, Nepal. Int.
https://www.ijstr.org/final-print/july2017/Analyzing-Influence-Of-Socio-demographic-
Factors-On-Travel-Behavior-Of-Employees-A-Case-Study-Of-Kathmandu-Metropolitan-
City-Nepal.pdf
Bhattacharyya, A., Cohen, A., Martin, E., Musunuri, A., & Shaheen, S. (2016). Mobile
Apps and Transportation: A Review of Smartphone Apps and A Study of User Response
to Multimodal Traveler Information. https://escholarship.org/uc/item/0cx0d1b8
18
Bissell, D. (2015). Understanding the impacts of commuting: Research report for
stakeholders. file:///C:/Users/User/Downloads/AddInfo_ANU%20Commuting
%20Impact%20Report.pdf
Centers for Disease Control and Prevention., (2018). Public Transportation System:
Introduction or Expansion.
https://www.cdc.gov/policy/opaph/hi5/publictransportation/index.html
Chatterjee, K., Chng, S., Clark, B., Davis, A., De vos, J., & Ettema, D. (2019).
Commuting and wellbeing: a critical overview of the literature with implications for
policy and future research.
https://www.tandfonline.com/doi/full/10.1080/01441647.2019.1649317#
Del Castillo, J.M., Benitez, F.G., 2012. A methodology for modeling and identifying
users sat-
isfaction issues in public transport systems based on users surveys.
https://www.sciencedirect.com/science/article/pii/S1877042812042875
Dissanayake, D., Kurauchi, S., Morikawa, T., Ohashi, S., Jan. (2012). Inter-regional and
inter-
temporal analysis of travel behaviour for Asian metropolitan cities: case studies of Bang-
19
kok, Kuala Lumpur, Manila, and Nagoya.
https://www.sciencedirect.com/science/article/pii/S0967070X11000898
Gonzalez, O. & Novaco, R., (2009). Commuting and Well-being. Technology and
Psychological Well-being.
https://www.researchgate.net/publication/251358676_Commuting_and_Well-being
International Trade Administration, (2022). Philippines - Information and
Communications Technology.
https://www.trade.gov/country-commercial-guides/philippines-information-and-
communications-technology
Shaaban, K. (2019). "Drivers’ Perceptions of Smartphone Applications for Real-Time
Route Planning and Distracted Driving Prevention". Journal of Advanced
Transportation, vol. 2019, Article ID 2867247, 10 pages.
https://doi.org/10.1155/2019/2867247
Kumari, S.M., Geethanjali, N. (2010). A survey on shortest path routing algorithms for
public transport travel. Global Journal of Computer Science and Technology.
https://www.researchgate.net/publication/238722629_A_Survey_on_Shortest_Path_Rout
ing_Algorithms_for_Public_Transport_Travel
20
Mariano, P. (2021). Modernizing Public Transport in the Philippines. https://changing-
transport.org/modernizing-public-transport-in-the-philippines/
Mokhtarian, P. L. (2019). Subjective well-being and travel: Retrospect and prospect.
Transportation. https://www.researchgate.net/publication/328391313_Subjective_well-
being_and_travel_retrospect_and_prospect
Nurdden, A., 2007. Effect of transportaton policies on modal shift from private car to
public
transportation in Malaysia.
https://www.researchgate.net/publication/26559556_Effect_of_Transportation_Policies_
on_Modal_Shift_from_Private_Car_to_Public_Transport_in_Malaysia
Pagkatotohan, J.(2022). Long Queues, Traffic Jams: Common Commuter Problems in the
Philippines. https://www.researchgate.net/publication/328391313_Subjective_well-
being_and_travel_retrospect_and_prospect
Rehrl, K., Stefan Bruntsch, S. Mentz, H.J. (2007). Assisting multimodal travelers: Design
and prototypical implementation of a personal travel companion. IEEE Transactions on
Intelligent Transportation Systems,
21
https://www.researchgate.net/publication/3428000_Assisting_Multimodal_Travelers_Des
ign_and_Prototypical_Implementation_of_a_Personal_Travel_Companion
Richey, R. (1994). Developmental Research: The Definition and Scope.
https://eric.ed.gov/?id=ED373753#:~:text=Developmental%20research%2C%20as
%20opposed%20to,of%20internal%20consistency%20and%20effectiveness.
Richey, R.C. (1997). Research on instructional development.
https://www.jstor.org/stable/30220187
Satiennam, T., Jaensirisak, S., Natevongin, N., Kowtanapanich, W., (2011). Public
transport
planning for a motorcycle dominated community.
https://www.jstage.jst.go.jp/article/easts/9/0/9_0_970/_article/-char/en
Schaaff, A., Boch, T., Fernique, P., Houpin, R., KaestlÃ, V., Royer, M., Scheffmann, J.,
Weiler, A. (2013). Feedback about Astronomical Application Developments for Mobile
Devices. https://ui.adsabs.harvard.edu/abs/2013ASPC..475..117S/abstract
22
Statista Research Department. (2022). Devices used to access the internet Philippines Q3
2021, by device. https://www.statista.com/statistics/803808/digital-device-usage-among-
adults-by-device-philippines/
The Design-Based Research Collective (2003). Design-based research: An emerging
paradigm for educational inquiry.
http://www.designbasedresearch.org/reppubs/DBRC2003.pdf
Torrens, C. (2015). Issues Surrounding Transportation Infrastructure.
https://www.democracylab.uwo.ca/Archives/2015__2016_research/philippines/
issues_surrounding_transportation_infrastructure.html?
fbclid=IwAR38f8HKucV_edbBKtS7fwj93MtOP2xOcWv_mHsWGqN4ChVDuv_idYS
Gx_o
Vicente, P., Reis, E., (2016). Profiling public transport users through perceptions about
public
transport providers and satisfaction with the public transport service.
https://www.semanticscholar.org/paper/Profiling-public-transport-users-through-about-
and-Vicente-Reis/a4b059cb3af2ccbc635c57c415162242d480ce81
23
Wibowo, S.S., Chalermpong, S., (2010). Characteristics of mode choice within mass
transit
catchments area.
https://www.researchgate.net/publication/229046973_Characteristics_of_Mode_Choice_
within_Mass_Transit_Catchments_Area
24