Urban road space allocation incorporating the safety and construction cost impacts of lane and footpath widths

2020 ◽  
Vol 75 ◽  
pp. 222-232 ◽  
Author(s):  
Tiantian Chen ◽  
N.N. Sze ◽  
Sikai Chen ◽  
Samuel Labi
Keyword(s):  
Construction Cost ◽  
Urban Road ◽  
Space Allocation ◽  
Road Space

scholarly journals Factors related to the increasing number of seriously injured cyclists and pedestrians in a Swedish urban region 2003–17

2019 ◽  
Vol 42 (2) ◽  
pp. e158-e164 ◽  
Author(s):  
Astrid Värnild ◽  
Per Tillgren ◽  
Peter Larm
Keyword(s):  
Road Safety ◽  
Urban Region ◽  
Elderly Persons ◽  
Urban Road ◽  
Road Space ◽  
Accident Data ◽  
Serious Injury ◽  
National Road ◽  
Serious Injuries ◽  
Vision Zero

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.

scholarly journals Principles of Street and Urban Road Space Formation in Modern Cities

2018 ◽  
Vol 7 (3.2) ◽  
pp. 642 ◽  
Author(s):  
Tetyana Lytvynenko ◽  
Iryna Tkachenko ◽  
Volodymyr Ilchenko
Keyword(s):  
Experimental Design ◽  
Structural Model ◽  
Urban Road ◽  
Modern Cities ◽  
Hierarchical Levels ◽  
Road Space

The work is devoted to improving the principles of streets and urban roads beautification elements placing. The classification of streets and urban roads beautification elements is structured. The principles of streets and urban roads beautification elements placing by using new spatial corridor principle simulation are improved. Streets and urban roads beautification elements according to hierarchical levels are structured. The street structural model spatial corridor with distribution in sub corridors to deploy beautification elements is constructed. The spatial corridor and subcorridors characterized by linear parameters and formulas for their determination are suggested. The methodology of comprehensive streets and urban roads beautification designing according to the offered principle is improved. Reconstruction beautification experimental design of Shevchenko Street in Poltava, Ukraine is done.  

scholarly journals Space Occupancy Method for Estimation of PCUs of Vehicles at Different Speed and Flow Ranges on Urban Road

2019 ◽  
Vol 11 (02) ◽  
pp. 77-84
Author(s):  
S. Srikanth
Keyword(s):  
Heterogeneous Traffic ◽  
Vehicle Dynamic ◽  
Passenger Cars ◽  
Projected Area ◽  
Traffic Condition ◽  
Urban Road ◽  
Data Space ◽  
Speed Flow ◽  
Different Types ◽  
Road Space

The problem of quantification of volume under heterogeneous traffic has been addressed by converting the different types of vehicles into equivalent passenger cars and expressing the volume or capacity of roads in terms of PCU per hour. The traffic movement under heterogeneous traffic condition differs, however, significantly from that of homogeneous traffic in respect of the pattern of occupancy of road space by vehicles. Video graphic technique was used for the traffic flow data collection. A Traffic Enumeration Software was used for extracting speed, flow and headway data. Space occupancy method was used for PCU determination where in the space headway of each vehicle was also taken into consideration along with the projected area of the vehicle. Dynamic PCU values of different vehicles were found out corresponding to both speed and flow ranges. Reliability of dynamic PCU values of different vehicles is also determined by using density.

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