METHOD: This paper aims to develop a sustainable pedestrian gap crossing index model based on traffic flow density. It focusses on the gaps accepted by pedestrians and their decision for street crossing, where (Log-Gap) logarithm of accepted gaps was used to optimize the result of a model for gap crossing behavior. Through a review of extant literature, 15 influential variables were extracted for further empirical analysis. Subsequently, data from the observation at an uncontrolled mid-block in Jalan Ampang in Kuala Lumpur, Malaysia was gathered and Multiple Linear Regression (MLR) and Binary Logit Model (BLM) techniques were employed to analyze the results.
RESULTS AND CONCLUSIONS: From the results, different pedestrian behavioral characteristics were considered for a minimum gap size model, out of which only a few (four) variables could explain the pedestrian road crossing behavior while the remaining variables have an insignificant effect. Among the different variables, age, rolling gap, vehicle type, and crossing were the most influential variables. The study concludes that pedestrians' decision to cross the street depends on the pedestrian age, rolling gap, vehicle type, and size of traffic gap before crossing.
PRACTICAL APPLICATIONS: The inferences from these models will be useful to increase pedestrian safety and performance evaluation of uncontrolled midblock road crossings in developing countries.
MATERIAL AND METHODS: Obese-pregnant women, and women underwent BSs before the current pregnancy, with complete antenatal, and delivery records were included in the current study. Collected data were analyzed using MedCalc 20.106 to calculate the odd ratio (OR), and relative risk (RR) of adverse maternal, and fetal outcomes in relation to maternal obesity vs. BSs.
RESULTS: Data of 14,474 pregnant women were collected during this study; 33.94% (4912/14474) of them were obese, and 3.8% (546/14474) of them had previous BSs before the current pregnancy. The obese group has significantly higher odds, and RR of gestational diabetes mellitus (GDM) [OR 1.9 (p = 0.0001), and RR 1.79 (p = 0.0001)], gestational hypertension [OR 1.7 (p = 0.0002), and RR 1.6 (p = 0.0003)], and preeclampsia (PE) [OR 1.7 (p = 0.0001), and RR 1.6 (p = 0.0001)] compared to BSs group. The obese group has also significantly higher odds, and RR of cesarean sections (CSs) [OR 1.3 (p = 0.008), and RR 1.25 (p = 0.01)], and large for gestational age [OR 1.39 (p = 0.01), and RR 1.3 (p = 0.02)] compared to BSs group.
CONCLUSIONS: About 33.94% of the reproductive-age women in Kuwait are obese, and 3.8% of them had previous BSs. Obese-pregnant women are at increased risks of GDM, gestational hypertension, PE, and CSs. Bariatric surgeries reduced the rates of GDM, gestational hypertension, PE, and CSs significantly.