Search results

To provide insight into the role and design of delivery services to address CO₂, NO _x , and PM₁₀ emissions from passenger travel.

A simulated North American data sample is served with three transportation structures: last-mile personal vehicles, local-depot-based truck delivery, and regional-warehouse-based truck delivery. CO₂, NO _x , and PM₁₀ emissions are modeled using values from the US EPA’s MOVES model and are added to an ArcGIS optimization scheme.

Local-depot-based truck delivery requires the lowest amount of vehicle miles traveled (VMT), and last-mile passenger travel generates the lowest levels of CO₂, NO _x , and PM₁₀. While last-mile passenger travel requires the highest amount of VMT, the efficiency gains of the delivery services are not large enough to offset the higher pollution rate of the delivery vehicle as compared to personal vehicles.

This research illustrates the clear role delivery structure and logistics have in impacting the CO₂, NO _x , and PM₁₀ emissions of goods transportation in North America.

This research illustrates tension between goals to reduce congestion (via VMT reduction) and CO₂, NO _x , and PM₁₀ emissions.

This chapter provides additional insight into the role of warehouse location in achieving sustainability targets and provides a novel comparison between delivery and personal travel for criteria pollutants.

This paper analyzes the impact of obesity on the probability of a motor vehicle fatality (highway death rate) and on its component probabilities: the probability of a fatality, given a crash (vulnerability rate) and the probability of a crash (crash rate).

Using state-level data for 1995–2015, the paper estimates models explaining all three rates. Explanatory factors include obesity and a representative set of potential determinants.

Results indicate that obesity has a statistically significant positive relationship with the highway death rate and the crash rate. Also having a statistically significant positive association with at least one of the three rates are the proportions of young and old drivers, alcohol consumption, the ratio of rural to urban vehicle miles and temperature. Factors with a statistically significant negative relationship with at least one of the rates include primary seat belt laws and precipitation. In 2016, a total of 928 traffic fatalities could have been avoided if obesity rates decreased by one percentage point.

Seat belts and crash dummies should be better designed to fit and represent those with higher BMIs, and education efforts to increase seat belt use should be supplemented with information about the adverse impact of obesity on highway safety.

This paper uses 21 years of state-level information, including socio-economic and regulation data, and contributes to the existing research on the relationship between obesity and highway safety.

This chapter develops a comprehensive framework for evaluating planning decisions that affect walking conditions (“walkability”) and walking activity. It identifies various walking economic impacts (benefits and costs), describes methods for measuring those impacts, and discusses how to apply this information, based on the literature. The chapter finds that walking plays a unique and important role in an efficient and equitable transportation system, including affordable basic mobility, exercise and recreation, and access to other modes including public transit and parked cars. Walking is typically the second most common travel mode by trip mode share, and is particularly important for physically, economically and socially disadvantaged people. Improving walkability, increasing walking activity, and creating more walkable communities provides various economic, social, and environmental benefits. Conventional planning tends to undervalue many of these benefits, resulting in less support for walking than is optimal. Decision-makers increasingly want more comprehensive evaluation which considers a wider range of planning objectives and impacts. More comprehensive benefit analysis tends to justify more support for walking, and could lead to better planning decisions. Improving walking conditions helps create a more diverse, efficient, and equitable transport system which responds to changing demands and future needs. Walking is particularly important for disadvantaged people who tend to rely on walking for basic mobility, many of whom are constrained if walking conditions are poor. The analysis presented in this chapter is significantly more comprehensive than generally used in planning, and if used could lead to improved planning and enhanced walking.

The aim of this paper is to identify the best marketing communications for policy messages that makes these messages acceptable and fair to the public. Within the context of the Vehicle Miles Traveled (VMT) tax, this paper examines how framing messages through the alternative perspective of tribalism can increase individual support towards the corresponding policy.

The paper uses a mixed methods approach. Study 1 uses a qualitative content analysis process based on grounded theory to identify the themes that surround 331 public comments on a transportation policy. Study 2 follows with two 2x2 quantitative factorial experiments to test specific hypotheses.

If messages are framed to address the collective losses of the political tribe for collective good, then they generate more favorable attitudes towards the policy, as opposed to the self-interest perspective.

This paper focuses on two political tribes: the collective good and self-interest. Additional research needs to address the other socially symbolic political tribes to develop the empirical research on the theory of tribalism.

The marketing of public policy based on traditional segmentation is limiting. Policy messages can be more salient if they are framed for the political consumption of the socially symbolic tribe.

A key contribution is that the paper is the first to use a mixed methods approach, with two studies that examine the effects of framing policy from a tribalism perspective.