Determining the Most Suitable Pedestrian Level of Service Method for Dhaka City, Bangladesh, through a Synthesis of Measurements

Abstract

In this paper, five pedestrian level of service (PLOS) methods are outlined in brief with respect to their assets and their limitations: (a) the Australian method, (b) the Highway Capacity Manual 2010 method, (c) the trip quality method, (d) the Landis method, and (e) the Tan Dandan method. In this study, each method was implemented to consider its suitability for use in Dhaka City, Bangladesh, through the integration of objective measurement and subjective assessment. The objective measurement consisted of a determination of the PLOS of five study locations in Dhaka City and the adoption of field data on traffic, geometric, and environmental factors. The subjective assessment had its basis in a user perception rating by 50 individuals of the service quality of pedestrian facilities in the selected study areas. A separate survey of 415 individuals was conducted to identify the most favored of 25 service quality attributes extracted from the five PLOS methods. The perception ratings were scrutinized to identify any potential deviations that arose from participant age and gender. In the ratings, the Australian method prevailed over the other four methods with a score of 18. The trip quality method scored second best with 16 points. The separate survey substantiated the adequacy of the Australian method for use in Dhaka City and included seven of the eight most desired and popular PLOS attributes selected by the survey respondents. Future research should be devoted to the development of a new PLOS method that uses the factors identified in this paper.

Power of User Perception on Pedestrian Quality of Service

“…Thus, environmental stimuli influence the decision of using certain infrastructure or avoiding it entirely. However in the past, it was found that there is low correlation between the SPI perceived by users and that which is estimated by using measurable attributes in-situ (47,48). In an attempt to fill this gap, Ferna´ndez-Heredia et al suggested that including user perceptions to mode choice models could improve their performance (49).…”

Analysis of Pedestrian Crossing Speed and Waiting Time at Intersections in Dhaka

“…Among them, 31% of the pedestrian causalities occurred while crossing a road [2]. In addition, the roadway environment of Dhaka is not pedestrian-friendly because of the lack of pedestrian facilities, faulty design, and improper maintenance [3]. Rahman and Khadem conducted a study on the physical and operational deficiency of signal system of Dhaka.…”