Page 221 - Proceeding of Atrans Young Researcher's Forum 2019_Neat

“Transportation for A Better Life:
Smart Mobility for Now and Then”

23 August 2019, Bangkok, Thailand

Table 1. The Pedestrian Environmental Quality Data for the measurement of evaluation
Score (PEQS): Indicator Score Value for Street indexes were collected by observations based on the
Segment Score, Intersection Score Values Based on street segment and intersection visualization results.
Expert Survey Findings (n= 10) Google map, as a Web-based GIS map is used to
create maps to visually display our street and
Indicator Indicator intersection findings for selected areas by spatially
Indicator
Indicator Response Response
Factor Indicator Response joining the PEQS score to its corresponding street
Score Category Category Score,
Category segment or intersection using unique street and
Score Weighted
intersection identifiers.
Intersection

Intersection Crosswalk 4.3 4 Directions 9.8 42.1
Safety Table 2. PEQS score interpretation
3 Directions 8.4 36.1 Visualization PEQS Interpretation
2 Directions 7.7 33.1 Score
1 Directions 6.5 28.0 Intersection Segment
None 0 0.0 81-100 Ideal pedestrian
conditions exist
Pedestrian signal 4.1 Yes 10 41.0
61 – 80 Reasonable pedestrian
No 2 8.2
No turn on red 3.1 Yes 8 24.8 conditions exist
No 4 12.4 41 – 60 Basic pedestrian
Intersection Trees 3.6 Yes 8.2 29.5 conditions exist
Design 21 – 40 Poor pedestrian
No 2.3 8.3
Street conditions exist
Segment 0 – 20 Environment not
suitable for pedestrians
Traffic Number of lanes 1.8 1 6 10.8

2 5.5 9.9
≥3 4.7 8.5 3. Empirical study in Thu Dau Mot City
Two-way traffic 1.7 Yes 4 6.8 3.1 Study area
No (One-way 6 10.2
Traffic) A case study was developed in Thu Dau Mot
Street design Sidewalk width 4.1 ≥ 3m 9.5 39.0 City. Thu Dau Mot is the capital city of Binh Duong
1m-3m 8.7 35.7 Province, Vietnam. The city has an area of 118 km²,
< 1m 4 16.4 population is 244,277 (2012) [6], Although this is an
No Sidewalk 0.5 2.1
Sidewalk 3.7 None 9.6 35.5 administratively separate city, it is considered as a
impediments
Few 4.2 15.5 satellite city of the Ho Chi Minh City Metropolitan
Significant 2.1 7.8 Area. The study area was carried out in the county of
Sidewalk 3.3 Yes 2.57 8.5
obstructions Phu Cuong, which presents a significant pedestrian
No 7.5 24.8 flow and the major commercial, services and
Driveway cuts 2.8 More than 5 3.2 9.0
Few (less than 7.1 19.9 recreation areas.
5)
None 9.5 26.6
Continuously
Trees 3.7 9.8 36.3
Lined
Sporadically 7.5 27.8
Lined
None 2.9 10.7
Land use Public seating 1.7 Yes 5.3 9.0
No 4.6 7.8
Public
art/historical 2.1 Yes 7 14.7
sites
No 3.6 7.6
Mixed landuse 2.9 Yes 8.2 23.8
No 5.1 14.8
Perceived Pedestrian 2.6 Yes 8.5 22.1
safety lighting
No 2.5 6.5
Litter 2.3 Little to None 8.5 19.6
Yes- A Lot 2.5 5.8
Construction 1.8 Yes 3.1 5.6
sites Fig. 2 The study area
No 6.8 12.2
3.2 Collection and processing of data
First, in order to prepare the database for
intersection evaluation results, or evaluation assessing the quality of the pedestrian environment,
results for each sub parameter.

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