Model Studies of Effects on Motor Vehicle Noise of Shapes and Arrangements of Buildings along Urban Streets. I. Preliminary Survey and Theory

1973 ◽  
Vol 54 (1) ◽  
pp. 341-341 ◽  
Author(s):  
Vern O. Knudsen ◽  
Vern C. Plane
Keyword(s):  
Motor Vehicle ◽  
Preliminary Survey ◽  
Vehicle Noise ◽  
Urban Streets ◽  
Model Studies

scholarly journals Motor Vehicle Noise Assessment by Semireverberant Testing

1972 ◽  
Vol 51 (1A) ◽  
pp. 152-152
Author(s):  
K. D. Harford ◽  
T. E. Siddon
Keyword(s):  
Motor Vehicle ◽  
Vehicle Noise ◽  
Noise Assessment

Motor vehicle noise insulation

1987 ◽  
Vol 82 (5) ◽  
pp. 1860-1860
Author(s):  
H. Gahlau
Keyword(s):  
Motor Vehicle ◽  
Vehicle Noise

scholarly journals needs-gap analysis of street space allocation

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gabriel Lefebvre-Ropars ◽  
Catherine Morency ◽  
Paula Negron-Poblete
Keyword(s):  
Travel Demand ◽  
Gap Analysis ◽  
Motor Vehicle ◽  
Supply And Demand ◽  
Peak Period ◽  
Urban Streets ◽  
Street Design ◽  
Space Allocation ◽  
Longitudinal Tracking ◽  
Street Space

Streets have long been designed to maximize motor vehicle throughput, ignoring other street users. Many cities are now reversing this trend and implementing policies to design more equitable streets. However, few existing tools and metrics enable widescale assessment, evaluation, and longitudinal tracking of these street space rebalancing efforts, i.e., assessing how equitable the current street design is, how it can be improved, and how much progress has been made. This paper develops a needs-gap methodology for assessing the discrepancy between transportation supply and demand in urban streets using existing datasets and automated methods. The share of street space allocated to different street users is measured in 11 boroughs of Montréal, Canada. Travel survey data is used to estimate the observed and potential travel demand in each borough in the AM peak period. A needs-gap analysis is then carried out. It is found that bus riders and cyclists face the greatest needs-gap across the study area, especially in central boroughs. The needs-gap also increases if only trips produced or attracted by a borough are considered. This shows the potential of applying an equity-based framework to the automated assessment of street space allocation in cities using large datasets.

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