Upala, Prapatpong

Preferred name

Upala, Prapatpong

Main Affiliation

School of Architecture, Art, and Design

prapatpong.up@kmitl.ac.th

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Evaluation of risk factor for children during drop-off and pick-up time around the primary school in Thailand
(2018-01-01)
Sattanon, Kirati
;
Upala, Prapatpong
Background: Traffic accidents, hazardous behaviors, and caretakers’ opinions have a strong effect on students’ safety during the drop-off and pick-up period. The present research about student drop-off and pick-up behaviors and spatial analysis will be helpful for better understanding school traffic incidents and related risk factors. Objective: To examine the risk factors associated with school drop-off and pick-up in three dimensions: 1) risk zones, 2) risk behaviors, and 3) risk periods. Method: A mixed method approach was employed using 4 sets of data, consisting of 1) the statistics of accidents occurring around primary schools, 2) the student drop-off and pick-up behaviors, 3) the opinions toward risk zones and risk periods, and 4) the data obtained from the survey and interview. The spatial analysis was conducted using kernel density estimation technique. The statistical data analysis was carried out to analyze and compare the questionnaire responses given by the teachers and parents from the primary schools with the highest accident rate in 5 regions of Thailand. Results: Pedestrian crossing points in front of the school gates and blind spots behind the school buildings were considered the risk zones. In the morning, the parents usually dropped the students off at the pavements in front of the school gate. Some of them walked the students to the classrooms. After school, the parents parked their cars and then walked to wait for the students at the meeting points scattered inside or outside the school. The opinions of the teachers and parents regarding the risk periods were found to be significantly different (p < 0.01), which affected the way the teachers and parents looked out for the students’ safety in the morning and after school period. Conclusion: The areas around pedestrian crossing points and school gates require effective transport planning in order to specifically prevent and monitor hazardous incidents. A scattering of drop-off and pick-up points are risk behaviors. Therefore, each school should clearly set up safe drop-off and pick-up points and pay close attention to the safety of students both in the morning and after school. Creating safety for students should start with improving the school environment in order to reduce anxiety and facilitate behavior change.
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Comparative analysis of environmental graphic design for Wayfinding on the exit patterns of mass transit stations
(2018-01-01)
Puttipakorn, Pakachart
;
Upala, Prapatpong
Introduction: The quality of transit services has long been recognized as a significant factor affecting passenger behavior and station quality. The objective of this paper was to compare the environmental graphic designs for passengers’ decision to choose walking ways in subway stations of Bangkok Metropolis, Thailand. Methods: It uses the multi-stage sampling approach at various forms of station entries-exits and traffic statistics of service usage by passengers. The forms of station entries-exits can be divided into four types: 1) Silom Station (2-way exits), 2) Sukhumvit Station (3-way exits), 3) Huai Khwang Station (4-way exits), and 4) Phahon Yothin Station (5-way exits). Questionnaires were used to collect data from 445 passengers, using Likert Scale and t-test/ANOVA. The comparative analysis of directional signs was conducted with three factors as follows; 1) signs with 1-point location, 2) signs with 2-point locations, and 3) signs with 3-point locations. Results: The results found the signs with 2-point locations could provide additional information about the places and were suitable for the general environment of all stations. However, when adding further information about the places on the signs with 3-point locations, some limitations were found regarding the passengers’ need for location information with a complex physical environment of the station. Also, when considering the passengers’ attributes and behaviors, it was found that they also affected the environmental graphic design significantly. Conclusion: The research findings can be used as information for the environmental graphic designers to develop wayfinding system to improve for passengers’ travelling in mass transit stations.
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Spatial analysis to identify pedestrian crash zones: A case study of school zones in Thailand
(2018-01-01)
Bunnarong, Somluk
;
Upala, Prapatpong
Background: In Thailand, it has the second highest road traffic fatality rate in the world at 36.2 deaths per 100,000 populations. The pedestrian crash zones are based on the road and physical environment, vehicle and driver behavior and pedestrian behavior, especially the area around the school. Therefore, this paper would like to improve safety by identifying crash area through Geographic Information Systems (GIS). Objective: The objective of this paper is to identify pedestrian crash zones of primary schools and secondary schools in Bangkok, Thailand through the spatial analysis and GIS tool. Method: The research methodology was the data collection from pedestrian-vehicle crashes in 2016 at 12 schools of 1,218 locations in Bangkok. The data analysis used GIS for geocoding the crash locations. The spatial patterns and pedestrian crash zone map were applied by Moran’s I statistic and the Kernel Density Estimation (KDE). Results: The Moran’s index showed that the accident locations within school zone were a clustered pattern considering on Moran’s Index which approached +1 and the z-scores greater than 2.58. The KDE showed that the pedestrian crash zones were different depending on the physical environment; however, the most significant areas were at urban areas, crowded areas, and intersections of arterial roads and local roads about 508 meters from the school center. Conclusion: This research could be concluded that the spatial patterns and pedestrian crash zone map will assist the transportation planners and traffic police for identifying crash locations and specific vulnerable road users, especially pedestrians and bicycle users.
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Comparing the traffic operation, fuel consumption, and pollutant emission of bike lane pattern design with AIMSUN microscopic simulation model: A case study of nakhon sawan municipality in Thailand
(2019-01-01)
Chalermwongphan, Karn
;
Upala, Prapatpong
Background: The present research aimed to compare and evaluate two forms of shared roadways, which were Conventional Bike Lane (CBL) and Median Bike Lane (MBL). Methods: The road network and traffic conditions of Nakhon Sawan Municipality, comprised of 712 links and 237 nodes, simulated by using the AIMSUN microscopic simulation software in order to compare the delay time, operating speed, total travel time, fuel consumption, and emission of carbon dioxide (CO<sup>2</sup>), nitrogen oxide (NO<sup>X</sup>), Particulate Matter (PM), and Volatile Organic Compounds (VOC). Results: The obtained results can be used as efficiency data for designing a campaign to encourage private car drivers to change their daily transportation mode to bicycle, which will ultimately help to solve traffic congestion problems and reduce environmental impacts in a sustainable way. The research results showed that a campaign encouraging a change in transportation mode should focus on reducing 36 percent of all private cars in the road network (at least 9,691 veh/hr). Conclusion: This approach will minimize the delay time in the road network by 0.89 sec/km and reduce 1,228.66 liters of fuel consumption, 2,769,764.47 g/km of carbon dioxide, 8654.86 g/km of nitrogen oxide, 1,463.33 g/km of particulate matter, and 1,383.93 g/km of volatile organic compounds.
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The analysis of dynamic O/D adjustment for bicycle traffic demand estimation with aimsun simulation model: A case study of nakhon sawan municipality in Thailand
(2018-01-01)
Chalermwongphan, Karn
;
Upala, Prapatpong
Aim: This research aimed to present the process of estimating bicycle traffic demand in order to design bike routes that meet the daily transportation needs of the people in Nakhon Sawan Municipality. Methods: The primary and secondary traffic data were collected to develop a virtual traffic simulation model with the use of the AIMSUN simulation software. The model validation method was carried out to adjust the origin and destination survey data (O/D matrix) by running dynamic O/D adjustment. The 99 replication scenarios were statistically examined and assessed using the goodness-of-fit test. The 9 measures, which were examined, included: 1) Root Mean Square Error (RMSE), 2) Root Mean Square Percentage Error (RMSPE%), 3) Mean Absolute Deviation (MAD), 4) Mean Bias Error (MBE), 5) Mean Percentage Error (MPE%), 6) Mean Absolute Percentage Error (MAPE%), 7) Coefficient of Determination (R2), 8) GEH Statistic (GEH), and 9) Thiel’s U Statistic (Theil’s U). Results: The resulting statistical values were used to determine the acceptable ranges according to the acceptable indicators of each factor. Conclusion: It was found that there were only 8 scenarios that met the evaluation criteria. The selection and ranking process was consequently carried out using the multi-factor scoring method, which could eliminate errors that might arise from applying only one goodness-offit test measure.

Upala, Prapatpong

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