Page 1 of 7
ASEAN GEOSPATIAL CHALLENGE 2022
Project Write Up
Instructions for Submission
a) Participants are to complete all sections using black Calibri font size 12. Incomplete forms will not
be accepted.
b) Citations should be included where necessary and they are not included in the word count.
Participants should fill in their references and other forms of acknowledgment in Section C.
c) Participants are to submit this write up in an editable Word Document format.
d) Submission filename taxonomy:
AGC22_Country_TeamName (e.g. AGC22_Singapore_GeospatialChallengers)
Page 2 of 7
Judging Criteria
Participants are encouraged to familiarisewith the judging criteria. Below are some guiding pointers and
they are non-exhaustive.
Page 3 of 7
Section A: Team Composition
Team Name Team Bondad & Mando
Participants are to provide their full name as per their relevant identification documents.
Name
Name of Educational
Institution
Email Address
(Student Representative) Emmanuel B. Bondad emmanuelbragais.bondad@bicol-u.edu.ph
(Team Member) Christian Jan B. Mando christianjanbolo.mando@bicol-u.edu.ph
(Team Member)
(Team Member)
Page 4 of 7
Section B: Project Details
Participants are to fill in their word count for each criterion.
Criterion 1: Challenge Statement & Relevance (20%)
Max 600 words Actual count: 222
Traffic congestion is a crucial problem in many cities all over the world. It generates pollution
that affects the health of the people, destroying the environment and it also has a great impact on
the economy that causes delay in work and losing the productivity of a business. Central Business
District or usually known as CBD, is generally the central area, the most frequently used and one of
the most expensive areas of a city where urban traffic is usually observed. In the Philippines especially
in Tabaco City, lack of parking space of building establishments leads to the use of road-easements
that cause traffic in the Central Business District. As the road-easements are used as illegal parking
space of vehicles movement of the flow of vehicles is being affected that causes delay of vehicles on
the observed roads. Conducting parking surveys and geotagging would contribute to the assessment
of parking behavior to the flow of traffic in the observed area of the Central Business District.
World leaders recognized unanimously at the 2012 United Nations Conference on Sustainable
Development that transportation and mobility are central to sustainable development. Sustainable
transportation can enhance economic growth and improve accessibility. Sustainable transport
achieves better integration of the economy while respecting the environment, improving social
equity, health, resilience of cities, urban-rural linkages and productivity of rural areas.
Project Title
Summary of Project
One primary cause of traffic congestion is parking obstructions which cause
serious disturbance on the traffic flow. This study focused on the road
parking unlawfully utilized which slows the flow of traffic in the central
business district from 8:00 am to 5:00 pm using the camera footages
combined with the results of parking survey and geo-tagging the vehicles
adjacent to the legal road-easements fronting the commercial
establishments. The study disclosed that Ziga Avenue has the highest flow
rate, high density of vehicles slowing the movement of vehicles, thus from
12:00 noon to 1:00 pm the model disclosed a low percentage of time delay
to all road sections in the study area. The researcher concluded that there is
a correlation between parking space needs which tends to slow the traffic
flow. The practical implication of mimicking the urban traffic-based illegal
parking can lever for a citywide traffic impact assessment.
Page 5 of 7
Criterion 2: Application of Geospatial Technology (40%)
Max 1000 words Actual count: 404
Geographic Information System (GIS), over the years, has emerged as one of the efficient
technological tools in the field of transportation engineering. It has shown great applications in a
number of fields including transportation. Increasingly, urban and transportation planners and
professionals are finding that the integration of traditional transportation research methods with the
added value of GIS capabilities including integration of geographical spatial-analysis and cartography,
provides a robust platform for both traditional and innovative transportation and traffic activities
Sreekumar, R. (2018).
This study uses a software application of GIS called the “Arcmap'' as the main tool to visualize
and present the urban traffic in the Central Business District. As for the data collection for this study,
9-hour CCTV Camera footage starting from 8am-5pm was used as a primary source of traffic data.
CCTV Camera footage was used by the researchers in order to compute the hourly volume, measure
the speed, travel time, traffic flow, density of the vehicles, and the Time Delay in the study area. The
results obtained were input then processed in the Arcmap. Using the Geoprocessing Tools of the
Arcmap like the Buffer and Merge helps to fasten the visualization of the Urban Traffic in the form of
maps. The geotagged image collected from the field survey was processed in the Arcmap from image
into points. The effectiveness of geoprocessing tools like the Buffer aides the researchers to create
buffer polygons around input features to a specified distance where the results of the traffic data was
input. After buffering all the roads, use of Geoproccesing tool Merge, was used to integrate all road
sections in the study area. The merge road data was classified to see the urban traffic in the Central
Business District. By classifying the merged road, the urban traffic was categorized from low,
moderate and high traffic categories. The maps being presented show the urban traffic in the
specified road sections starting from 8am-5pm. The colors of the roads sections define the behavior
of vehicles from a given subject hour as the road is classified as red it explains high percentage of
traffic, if it is orange it is in moderate percentage time delay and if it is in yellow it represents a low
percentage time delay in a specific road section. The effectiveness of this study is that urban traffic
could be presented on an hourly basis and the impact on the time delay could be shown.
Page 6 of 7
Criterion 3: Creativity & Innovation (20%)
Max 600 words Actual count: 158
On-street parking in city centres is an attractive facility for drivers. However, the availability of
such parking facilities may affect the capacity of the highway and be a contributory cause in the high
number of road traffic accidents as well as having other direct or indirect effects on other issues such
as the use of public transport, business, environment and property values. Inappropriate parking can
causesevere delays especiallyon busy roads resulting in a stop-start situation to the traffic flow. Yousif,
S. (1999)
The collected data for this study was obtained from the CCTV Camera Footage in which the
researchers based the behavior of the urban traffic based on the time delay of vehicles. The obtained
time delay was input in the road shapefile and processed using the geoprocessing tools such as Buffer
and Merge. Instead of volume of vehicles, the traffic data was based on the time delay on every road
section in the Central Business District.
Criterion 4: Sustainability & Applicability (20%)
Max 600 words Actual count:159
Sustainable transportation can enhance economic growth and improve accessibility.
Sustainable transport achieves better integration of the economy while respecting the environment,
improving social equity, health, resilience of cities, urban-rural linkages and productivity of rural areas.
The results of this study shows that lack of parking space may cause illegal road parking along
the road-easements and the prohibited parking area that may cause a great impact on the behavior of
traffic on the roads of the Central Business District. In order to have sustainable transportation, traffic
assessmentinthe cities must be improved. The hourly time delay map can help determine and visualize
the road segments with a low, moderate, and high percentage of time delay within the time period.
For future studies,additional parking survey parameters may include parking duration to have stronger
data for time delay and also in traffic surveys by categorizing the type of vehicles that enter the road
segment. The researchers alsosuggestthe use of other traffic models to seethe significancedifference
in estimating the traffic behavior of the roads.
Page 7 of 7
Section C: References
Participants should clearly state their references and other forms of acknowledgment in this section
here.
Yousif, S. (1999). A study into on-street parking: Effects on traffic congestion. Traffic Engineering and
Control, 40, 424, - 427
Sreekumar, R. (2018). Managing traffic congestion using GIS a case study in Attingal Town. International
Journal of Engineering Research & Technology. Retrieved December 13, 2021, from
https://www.ijert.org/managing-traffic-congestion-using-gis-a-case-study-in-attingal
United Nations. (n.d.). Sustainable Transport | Department of Economic and Social Affairs. United
Nations. Retrieved December 13, 2021, from https://sdgs.un.org/topics/sustainable-
transport?fbclid=IwAR3jM8cDCiC0YWO5bD6vdfU-qGlUb-L14-NpVn4ug6s5feksm2UkS9y9UMc.

AGC2022-Project-Submission-Template_ASEAN.docx

  • 1.
    Page 1 of7 ASEAN GEOSPATIAL CHALLENGE 2022 Project Write Up Instructions for Submission a) Participants are to complete all sections using black Calibri font size 12. Incomplete forms will not be accepted. b) Citations should be included where necessary and they are not included in the word count. Participants should fill in their references and other forms of acknowledgment in Section C. c) Participants are to submit this write up in an editable Word Document format. d) Submission filename taxonomy: AGC22_Country_TeamName (e.g. AGC22_Singapore_GeospatialChallengers)
  • 2.
    Page 2 of7 Judging Criteria Participants are encouraged to familiarisewith the judging criteria. Below are some guiding pointers and they are non-exhaustive.
  • 3.
    Page 3 of7 Section A: Team Composition Team Name Team Bondad & Mando Participants are to provide their full name as per their relevant identification documents. Name Name of Educational Institution Email Address (Student Representative) Emmanuel B. Bondad emmanuelbragais.bondad@bicol-u.edu.ph (Team Member) Christian Jan B. Mando christianjanbolo.mando@bicol-u.edu.ph (Team Member) (Team Member)
  • 4.
    Page 4 of7 Section B: Project Details Participants are to fill in their word count for each criterion. Criterion 1: Challenge Statement & Relevance (20%) Max 600 words Actual count: 222 Traffic congestion is a crucial problem in many cities all over the world. It generates pollution that affects the health of the people, destroying the environment and it also has a great impact on the economy that causes delay in work and losing the productivity of a business. Central Business District or usually known as CBD, is generally the central area, the most frequently used and one of the most expensive areas of a city where urban traffic is usually observed. In the Philippines especially in Tabaco City, lack of parking space of building establishments leads to the use of road-easements that cause traffic in the Central Business District. As the road-easements are used as illegal parking space of vehicles movement of the flow of vehicles is being affected that causes delay of vehicles on the observed roads. Conducting parking surveys and geotagging would contribute to the assessment of parking behavior to the flow of traffic in the observed area of the Central Business District. World leaders recognized unanimously at the 2012 United Nations Conference on Sustainable Development that transportation and mobility are central to sustainable development. Sustainable transportation can enhance economic growth and improve accessibility. Sustainable transport achieves better integration of the economy while respecting the environment, improving social equity, health, resilience of cities, urban-rural linkages and productivity of rural areas. Project Title Summary of Project One primary cause of traffic congestion is parking obstructions which cause serious disturbance on the traffic flow. This study focused on the road parking unlawfully utilized which slows the flow of traffic in the central business district from 8:00 am to 5:00 pm using the camera footages combined with the results of parking survey and geo-tagging the vehicles adjacent to the legal road-easements fronting the commercial establishments. The study disclosed that Ziga Avenue has the highest flow rate, high density of vehicles slowing the movement of vehicles, thus from 12:00 noon to 1:00 pm the model disclosed a low percentage of time delay to all road sections in the study area. The researcher concluded that there is a correlation between parking space needs which tends to slow the traffic flow. The practical implication of mimicking the urban traffic-based illegal parking can lever for a citywide traffic impact assessment.
  • 5.
    Page 5 of7 Criterion 2: Application of Geospatial Technology (40%) Max 1000 words Actual count: 404 Geographic Information System (GIS), over the years, has emerged as one of the efficient technological tools in the field of transportation engineering. It has shown great applications in a number of fields including transportation. Increasingly, urban and transportation planners and professionals are finding that the integration of traditional transportation research methods with the added value of GIS capabilities including integration of geographical spatial-analysis and cartography, provides a robust platform for both traditional and innovative transportation and traffic activities Sreekumar, R. (2018). This study uses a software application of GIS called the “Arcmap'' as the main tool to visualize and present the urban traffic in the Central Business District. As for the data collection for this study, 9-hour CCTV Camera footage starting from 8am-5pm was used as a primary source of traffic data. CCTV Camera footage was used by the researchers in order to compute the hourly volume, measure the speed, travel time, traffic flow, density of the vehicles, and the Time Delay in the study area. The results obtained were input then processed in the Arcmap. Using the Geoprocessing Tools of the Arcmap like the Buffer and Merge helps to fasten the visualization of the Urban Traffic in the form of maps. The geotagged image collected from the field survey was processed in the Arcmap from image into points. The effectiveness of geoprocessing tools like the Buffer aides the researchers to create buffer polygons around input features to a specified distance where the results of the traffic data was input. After buffering all the roads, use of Geoproccesing tool Merge, was used to integrate all road sections in the study area. The merge road data was classified to see the urban traffic in the Central Business District. By classifying the merged road, the urban traffic was categorized from low, moderate and high traffic categories. The maps being presented show the urban traffic in the specified road sections starting from 8am-5pm. The colors of the roads sections define the behavior of vehicles from a given subject hour as the road is classified as red it explains high percentage of traffic, if it is orange it is in moderate percentage time delay and if it is in yellow it represents a low percentage time delay in a specific road section. The effectiveness of this study is that urban traffic could be presented on an hourly basis and the impact on the time delay could be shown.
  • 6.
    Page 6 of7 Criterion 3: Creativity & Innovation (20%) Max 600 words Actual count: 158 On-street parking in city centres is an attractive facility for drivers. However, the availability of such parking facilities may affect the capacity of the highway and be a contributory cause in the high number of road traffic accidents as well as having other direct or indirect effects on other issues such as the use of public transport, business, environment and property values. Inappropriate parking can causesevere delays especiallyon busy roads resulting in a stop-start situation to the traffic flow. Yousif, S. (1999) The collected data for this study was obtained from the CCTV Camera Footage in which the researchers based the behavior of the urban traffic based on the time delay of vehicles. The obtained time delay was input in the road shapefile and processed using the geoprocessing tools such as Buffer and Merge. Instead of volume of vehicles, the traffic data was based on the time delay on every road section in the Central Business District. Criterion 4: Sustainability & Applicability (20%) Max 600 words Actual count:159 Sustainable transportation can enhance economic growth and improve accessibility. Sustainable transport achieves better integration of the economy while respecting the environment, improving social equity, health, resilience of cities, urban-rural linkages and productivity of rural areas. The results of this study shows that lack of parking space may cause illegal road parking along the road-easements and the prohibited parking area that may cause a great impact on the behavior of traffic on the roads of the Central Business District. In order to have sustainable transportation, traffic assessmentinthe cities must be improved. The hourly time delay map can help determine and visualize the road segments with a low, moderate, and high percentage of time delay within the time period. For future studies,additional parking survey parameters may include parking duration to have stronger data for time delay and also in traffic surveys by categorizing the type of vehicles that enter the road segment. The researchers alsosuggestthe use of other traffic models to seethe significancedifference in estimating the traffic behavior of the roads.
  • 7.
    Page 7 of7 Section C: References Participants should clearly state their references and other forms of acknowledgment in this section here. Yousif, S. (1999). A study into on-street parking: Effects on traffic congestion. Traffic Engineering and Control, 40, 424, - 427 Sreekumar, R. (2018). Managing traffic congestion using GIS a case study in Attingal Town. International Journal of Engineering Research & Technology. Retrieved December 13, 2021, from https://www.ijert.org/managing-traffic-congestion-using-gis-a-case-study-in-attingal United Nations. (n.d.). Sustainable Transport | Department of Economic and Social Affairs. United Nations. Retrieved December 13, 2021, from https://sdgs.un.org/topics/sustainable- transport?fbclid=IwAR3jM8cDCiC0YWO5bD6vdfU-qGlUb-L14-NpVn4ug6s5feksm2UkS9y9UMc.