Effects of household structure and selected travel characteristics on trip chaining

This paper analyzes trip chaining, focusing on how households organize non-work travel. A trip chaining typology is developed using household survey data from Portland, Oregon. Households are organized according to demographic structure, allowing analysis of trip chaining differences among household types. A logit model of the propensity to link non-work trips to the work commute is estimated. A more general model of household allocation of non-work travel among three alternative chain types — work commutes, multi-stop non-work journeys, and unlinked trips — is also developed and estimated. Empirical results indicate that the likelihood of linking work and non-work travel, and the more general organization of non-work travel, varies with respect to household structure and other factors which previous studies have found to be important. The effects of two congestion indicators on trip chaining were mixed: workers who commuted in peak periods were found to have lower propensity to form work/non-work chains, while a more general congestion indicator had no effect on the allocation of non-work trips among alternative chains.     

A coastal commissioner's perspective: Choosing between what the law says and what the law allows

One of our greatest recreation resources—the seashore—is rapidly vanishing from public use. Nearly everyone seems to know this fact but few do anything to halt the trend.     

苏黎世 全球幸福指数最高的城市

我们习惯将驾艇升帆与充满冒险和刺激的茫茫大海相联系，而在苏黎世湖区，人们习惯清晨就起航升帆，乘云雾未散，缓缓驶过群山围绕的湖面，让一天从烟波浩瀚的仙境与平和中缓缓拉开序幕。