Synergies from Improved Cycling-Transit Integration

doi:10.1787/ce404b2e-en

Cited by 5 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These may be included in emergency mobility plans as a pandemic response or as a long-term proactive measure. The key determinants of mode shift toward active transportation can be divided into infrastructure factors (e.g., active network connectivity, provision of trip-end facilities, a reduction in car parking spaces, road space reallocation), promotional programs (e.g., education, promotional campaigns), governance (e.g., policy implementation, stakeholder involvement, leadership) and exogenous factors (e.g., sociodemographic factors, trip distances, topography, physical environment, climate) ( 43 ). Many cities across the world have already undertaken initiatives in the midst of the pandemic: bike network development, pop-up bike lanes, pedestrian priority areas, traffic calming measures, 20 km/h neighborhoods, folding/e-bike subsidies, bike/walk to work paybacks, bike parking and trip-end facilities, bus priority lanes, and (re)introducing congestion and parking charges ( 44 – 47 ).…”

Section: Strategies To Avoid Increased Drivingmentioning

confidence: 99%

Mitigating Increased Driving after the COVID-19 Pandemic: An Analysis on Mode Share, Travel Demand, and Public Transport Capacity

Ciuffini

Tengattini

Bigazzi

2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Reduced transit capacity to accommodate social distancing during the COVID-19 pandemic was a sudden constraint that along with a large reduction in total travel volume and a shift in activity patterns contributed to abrupt changes in transportation mode shares across cities worldwide. There are major concerns that as the total travel demand rises back toward prepandemic levels, the overall transport system capacity with transit constraints will be insufficient for the increasing demand. This paper uses city-level scenario analysis to examine the potential increase in post-COVID-19 car use and the feasibility of shifting to active transportation, based on prepandemic mode shares and varying levels of reduction in transit capacity. An application of the analysis to a sample of cities in Europe and North America is presented. Mitigating an increase in driving requires a substantial increase in active transportation mode share, particularly in cities with high pre-COVID-19 transit ridership; however, such a shift may be possible based on the high percentage of short-distance motorized trips. The results highlight the importance of making active transportation attractive and reinforce the value of multimodal transportation systems as a strategy for urban resilience. This paper provides a strategic planning tool for policy makers facing challenging transportation system decisions in the aftermath of the COVID-19 pandemic.

show abstract

Section: Strategies To Avoid Increased Drivingmentioning

confidence: 99%