Integrating urban road safety and sustainable transportation policy through the hierarchy of hazard controls

Author(s):  
Sam McLeod ◽  
Carey Curtis
2021 ◽  
Vol 22 (1) ◽  
pp. 15-28
Author(s):  
K. Sai Sahitya ◽  
Csrk Prasad

Abstract A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.


2019 ◽  
Vol 42 (2) ◽  
pp. e158-e164 ◽  
Author(s):  
Astrid Värnild ◽  
Per Tillgren ◽  
Peter Larm

Abstract Background The number of seriously injured unprotected road users has increased during implementation of a road safety policy Vision Zero. The aim of the study is to identify factors associated with the increase in serious injuries among cyclists and pedestrians (even single pedestrian accidents) that occurred in an urban road space in a Swedish region 2003–17. The urban road space includes roads, pavements and tracks for walking and cycling. Methods Data were retrieved from STRADA (Swedish Traffic Accident Data Acquisition) and NVDB (National Road Database). Descriptive statistics and logistic regression with odds ratios for sex, age and part of road space were assessed. Results The number of seriously injured cyclists and pedestrians more than doubled from 2003 to 2017, with the greatest increase for pedestrians. Older age increased the probability of serious injury since 2012 for the group ≥ 80 years and since 2015 for the group 65–79 years. No significant effect of sex. Most injuries occur in areas not transformed by Vision Zero. Conclusions An increasing number of elderly persons in the generation born in the 1940s and increased life expectancy are important factors. There is a need to increase road safety measures that also promote active mobility.


Safety ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 13 ◽  
Author(s):  
Pasquale Colonna ◽  
Paolo Intini ◽  
Nicola Berloco ◽  
Veronica Fedele ◽  
Giuseppe Masi ◽  
...  

The need for improving urban road safety, livability, and sustainability is evident. Quantitative estimates and qualitative methods/strategies can be used by road safety practitioners to design safety interventions. This study proposes a flexible integrated design framework for safety interventions on existing urban road segments and intersections that integrates quantitative and qualitative methods. The proposed design framework is divided into four stages of the safety management process: End of Network Screening, Diagnosis, Selection of Countermeasures, and Economic Assessment. Pilot applications of the proposed method were performed on existing roads of the urban road network of the Municipality of Bari, Italy. Results from the application were useful to highlight some possible problems in the different stages of the design process. In particular, the discussed problems include a lack of crash and traffic data, difficulties with defining the road functional classifications, including rural-to-urban transitions, a lack of local inspection procedures, the recurrent problems from diagnosis, difficulties regarding the safety assessment of cycling infrastructures and sight distances, the criteria for grouping countermeasures into sets, and the choice of appropriate predictive methods. In response, appropriate solutions to the highlighted problems were presented. The usefulness of the proposed method for both practitioners and researchers was shown.


Author(s):  
Kimihiro Hino ◽  
Ayako Taniguchi ◽  
Masamichi Hanazato ◽  
Daisuke Takagi

Mobility management is a transportation policy aiming to change travel behavior from car use to sustainable transportation modes while increasing people’s physical activity. Providing pedometers and visualizing step counts, popular interventions in public health practice, may constitute a mobility management program. However, the ease of modal shifts and changeability of walking habits differ across neighborhood environments. Using questionnaire data from 2023 middle-aged and older participants from Yokohama, Japan, in May 2017, this study examined (1) the relationship between the physical and social environments of Yokohama Walking Point Program participants who volunteered to use free pedometers and their modal shifts from cars to walking and public transport, and (2) whether participants’ modal shifts were associated with increases in step counts. Multivariate categorical regression analyses identified the frequency of greetings and conversations with neighbors as well as health motivation as important explanatory variables in both analyses. Participants living in neighborhoods far from railway stations and in neighborhoods with a high bus stop density tended to shift to walking and public transport, a modal shift that was highly associated with increased step counts. These results suggest that mobility management should be promoted in collaboration with public health and city planning professionals.


Author(s):  
Farrukh Baig ◽  
Sajan Shaikh ◽  
Mir Aftab Hussain Talpur

Considering the importance of road safety, as discussed in the agenda of World Health Organization-2030; this study folds motorization and under-reporting of road accidents in Punjab, Pakistan. The objectives of the study are selected as 1) identifying the motorization in Punjab; 2) synthesizing the vehicles dominance by preparing spatial maps on the basis of their types; 3) identifying the evidence of under-reporting of road accidents. Compound Annual Growth Rate (CAGR) of different vehicles were estimated, and spatial maps were generated using ArcGIS to demonstrate the spatial distribution of vehicles (CAGR). Results indicated the potential impact of geographical locations on the CAGR of vehicles. The CAGR of registered vehicles was recorded as: 2.73% to 9.93% for Cars; 12.63% to 18.94% for Motorcycles; 9.35% to 24.1% for Rickshaws; 0.74% to 7.29% for Trucks and 5.25% to 14.42% for Vans. On the other hand, the CAGR of road length varied from 0.35% to 12.03% that illustrated the alarming situation of increased motorization. Sluggish infrastructural development and the huge recorded difference in CAGR can be categorized as the possible causes of immense road accidents. By comparing reported road accidents with Punjab Emergency Service (PES) estimations; the average rate of annual under-reported road accidents was found as 62.6% that also showed variations, according to different administrative regions of the Punjab province. Study findings suggests that the development of effective transportation policy, focusing road safety may help Pakistan to curtail road accidents and induce free-flow of traffic.


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