About 8.1 percent of U.S. workers have commutes of 60 minutes or longer, 4.3 percent work from home, and nearly 600,000 full-time workers had "megacommutes" of at least 90 minutes and 50 miles. The average one-way daily commute for workers across the country is 25.5 minutes, and one in four commuters leave their county to work.
Global warming, increasing traffic congestion, diminishing resources and declining health levels have led to the introduction of several policies aimed at deterring car-usage. However many such policies have not only often failed to achieve their objective, they also risk jeopardising the retail sector. To help understand why, this study measures the importance shoppers assign to car convenience, their perceptions of shopping malls and shopping strips (also referred to as Main Street or the High Street) in relation to it, and then compares them in their actual provision of it. To achieve these objectives, the study utilised a consumer household survey and a retail audit. The results of the study indicate that consumers regard car convenience as an important determinant of where they choose to shop, and perceive malls as a superior source of it. Moreover, with the sole exception of being able to park close to desired stores, malls offer car-borne shoppers more convenient access and parking. The findings suggest that any strategy designed to deter car usage should be designed to impact equally on both mall shopping and strip shopping, or risk tipping the balance even further in favour of the mall.
New research from ITS Berkeley found that inconsistent transit service was a major factor in people not using transit. From a paper presented at last week's TRB Annual Meeting by Andre Carrel, Anne Halvorsen and Joan Walker, riders' perception of transit reliability was examined.
The most significant negative experiences that drove a reduction in transit use were delays perceived to be the fault of the transit agency, long waits at transfer points, and being prevented from boarding due to crowding.
We find that the major usage of each road segment can be traced to its own - surprisingly few - driver sources. Based on this finding we propose a network of road usage by defining a bipartite network framework, demonstrating that in contrast to traditional approaches, which define road importance solely by topological measures, the role of a road segment depends on both: its betweeness and its degree in the road usage network. Moreover, our ability to pinpoint the few driver sources contributing to the major traffic flow allows us to create a strategy that achieves a significant reduction of the travel time across the entire road system, compared to a benchmark approach.
Drivers from Sanjose, Hayward, Dublin, San Rafel and San Ramon often find themselves stuck in the worst traffic. Could more metering be the answer?
Recently, carsharing has entered a phase of commercial mainstreaming as carsharing providers and urban transportation planners aim at broadening the customer base. In this context, knowledge about the motives of carsharing usage is essential for further growth. Based on a qualitative means-end chain analysis this paper therefore explores usage motives, thus expanding the existing insights from analyses of usage behavior. In a series of laddering interviews with users of a US carsharing service, the underlying hierarchical motive structure is uncovered and four motivational patterns are identified: value-seeking, convenience, lifestyle, and environmental motives. Implications are drawn for applying these insights.