International Journal of Sustainable Transportation最新文献

Catenary electric road system (ERS) is a technology that enables powering pantograph-equipped road freight vehicles with electricity from overhead catenary while in motorway traffic to provide energy for propulsion and charging the vehicle batteries. Once leaving the catenary road, the energy stored in the battery or another energy source, e.g. hybrid diesel, natural gas or hydrogen, is used for propulsion.

In this research we model the deployment of such catenary network on the Flemish road network in Belgium to identify three points. First, what are the economic impacts of the catenary electric road system implementation in Flanders for the road haulage industry, their clients and wider society under different technology adoption scenarios. Second, what is the most optimal way of building such a catenary network. And last, what are the synergies that would come from implementation of this technology in the neighboring countries and how to benefit from those.

In this research we find that catenary ERS has the potential to be developed into an economically sustainable and relatively cheap way of decarbonizing road freight transport. It offers considerable economic incentives for all the involved stakeholders and is beneficial to the society as a whole.

The first and last mile (FLM) problem is the lack of adequate connectivity between transit stations and trip origins/destinations. Consequently, this problem increases the probability of driving private cars directly to the destinations and reduces the patronage of public transit. For appealing the use of sustainable transport for accessing public transit, it is imperative to identify the factors influencing FLM travel mode choice. This review synthesizes the empirical FLM literature and identifies the key factors that influence FLM travel mode choice including conventional factors (e.g. socio-demographic characteristics and built environments); exogenous factors that can reduce the appeal of sustainable FLM transport (e.g. crime and weather); and unique factors related to emerging transport and informal public transit. From these findings, we chart a future FLM research agenda under three thematic areas: (1) theory for enhancing the understanding of FLM travel mode choice; (2) data and modeling approaches for discussing the feasibility of using emerging data sources and providing modeling avenues to progress; (3) policy and practice for encouraging the use of sustainable travel for FLM.

Despite the fuel use and emission benefits of hybrid electric vehicles (HEVs), few studies have characterized in detail emission patterns and driving volatility profiles from HEVs in different road types under real-world driving conditions. This article examined the relationship between hot-stabilized emissions, engine variables, internal combustion engine status, roadway characteristics, and vehicular jerk types. Data were collected from a Toyota HEV subcompact on a driving route over rural, urban, and highway roads in the Aveiro region (Portugal). Driving volatility was represented by six driving styles based on combinations of acceleration/deceleration and vehicular jerk. Clustering and Disjoint Principal Component Analysis (CDPCA) was applied to extract principal components and identify specific clusters among variables. Both route type and internal combustion engine (ICE) operating behavior showed to have an impact on the distribution of vehicular jerk types. The proposed CDPCA constrained to the road sector exhibited different shapes in the clusters of the jerk types between ICE operation status. This article can provide insights into emissions monitoring analysis of the new generation of HEVs about the description of volatile driving behaviors.

Previous studies revealed that not all physical activities contribute to positive health results. Due to time limitations and energy deficits, involvement in physical activity might limit participation in another physical activity. Moreover, physical activities with different intensities, either vigorous, moderate or light, might have different patterns in deactivating or activating subsequent physical activities. This study examines the reciprocal effects of physical activities with different intensities and their effects on various health indicators. The reciprocal effect and its effect on health were overlooked in previous studies as the main research gap. The emerging digital activities raise how ride-sourcing and online activities encourage or discourage physical activities, in turn, health. This is the additional research gap. The 2019 Malang Greater Area dataset and Structural Equation Modeling are used in the analysis. The result of the study confirms that the reciprocal effects of physical activities are relevant to unravel the deactivation of other physical activities due to the commitments to take a specific physical activity. However, vigorous physical activities at home are still performed when people have commitments to do moderate physical activities at work and home, vigorous sports and cycling. The results also confirm that ride-sourcing significantly provides greater opportunities to perform physical activities than online activities. Ride-sourcing is also found to reduce the negative health effects of vigorous physical activities at work. Not all physical activities, however, correlate with positive health performances. Active travel can be suggested to maintain older people’s health, whereas vigorous sports are good for young adults.