International Journal of Sustainable Transportation最新文献

This paper provides a review of the literature on ride-hailing applications (RHA) in Southeast Asia (SEA) to enhance the understanding of RHA’s impacts on the urban transportation sector and to inform related planning and regulatory efforts in the context of developing countries. The conceptual framework is based on the stakeholder approach, which identifies three groups of stakeholders: the demand-side, the supply-side, and the public-sector stakeholders. A search on scholarly databases yielded 49 related articles. The results of the review illustrate certain similarities between RHA services in SEA with those reported from developed countries, such as the socio-economic profile of the users. However, several observations unique to the SEA context were also revealed, including (1) the dominance of motorcycles; (2) commuting as the main RHA trip purpose; (3) a higher frequency of RHA use; and (4) a significant proportion of full-time RHA drivers. The review also highlighted research gaps in the literature of RHA in SEA, particularly on how RHA can influence travelers’ behavior, its effects on the incumbent transport operators, and its environmental impacts.

In this paper, we study observed cycling distances within an accessibility framework, using data from the Netherlands, the Copenhagen Metropolitan Area and the Freiburg Region. As a scope, we look at outbound trips in home-based tours which include a single destination. We relate these observed cycling distances to a rich set of explanatory variables using both quantile and ordinary least square regression models. The results provide evidence that cycling distances are similarly distributed in all three regions. Most cycling distances are rather short, with a median of only two and a mean of three kilometers. These values vary depending on the type of activity at the destination, gender and age of the traveler and the type of bicycle that has been used. Moreover, a few remarkable differences have been found between the three regions, such as substantially different effects of age and e-bike use on observed cycling distances. Noteworthy is the missing effect of urban density. The findings of this research provide urban planners with differentiated information about how far people cycle to daily-life destinations. As shown for the example of the “15 minutes city,” the outcomes can also be used to refine existing concepts of bicycle accessibility. Finally, this research offers valuable insights into three of Europe’s most developed bicycle cultures.

This research provides new evidence about the relationship between online and in-store shopping. This article uses data for England from the UK National Travel Survey (NTS) which covers a full week and also provides information about grocery shopping practices (online and in-store). We examine the effects of online purchases on the grocery shopping practices of working couples and their related CO₂ emissions. Our analysis reveals a substitution effect between in-store trips and online shopping combined with home delivery and a 37% reduction in household CO₂ emissions for grocery shopping. It appears that buying groceries online combined with a home delivery system makes it possible to significantly cut emissions for grocery shopping trips, or at least to offset the effects of in-store trips by the households with the highest emissions. No rebound effect is observed for other trip motives, i.e. it is not because people make fewer trips for in-store grocery shopping that they make more trips for leisure, personal or other motives.

The paper deals with a new variant of the profitable tour problem with electric vehicles. In order to avoid one of the main disadvantages encountered in this type of problem, i.e. the idle time imposed by recharging the battery, we propose a version where this operation is synchronized with lunch breaks. Such a policy requires multi-period agreements with clusters of restaurants. It leads to the multi-period profitable tour problem with electric vehicles and mandatory stops. This problem arises in scenarios of tourist trip design, blood mobile collection, or street marketing activities planning when the fleet is composed of electric vehicles. A mathematical model and a Branch-and-Price algorithm are proposed. In the solution method, the subproblem is solved following two different approaches, one exact approach using elementary paths and a relaxed approach allowing ng-paths. The numerical tests on instances with up to 100 clients and 3 periods show that both approaches produce excellent quality solutions in a very reasonable amount of time.

Urban communities should now build in specific measures, addressing multimodality and fair distribution of public space. The transformation of arterials into multimodal corridors can be a key strategy that will shape new futures. The social acceptance of “push” measure that aim to modify road space allocation have never been examined following quantitative research methods. This study aspires to fill this gap now, as it is inspired by the great debate opened in Athens, Greece about “pop-up” interventions implemented in Panepistimiou Avenue. To explore the social acceptance factors, a rating experiment is designed by developing hypothetical scenarios, which are evaluated by different road users, daily car drivers, motorcycle riders, public transport (PT) users, cyclists, and walkers. A 5-point Likert Scale is utilized, and the collected observations are processed using ordinal logistic regression methods. The main findings suggest that the majority of the participants opted for solutions that ensured a rather equal or balanced space distribution, regardless of their preferred transport mode. Car users were willing to exchange their space, and consequently experience higher travel times for the greater benefit of the city, while public transport users, daily cyclists and walkers recognize the importance to maintain a good level of service for car users too. A surprising finding from this study case is that any increase in a pedestrian area, which is already sufficiently wide, influences negatively social acceptance, while the installation of a cycle lane reports considerably high probability to be accepted from all user groups.

Dynamic charging has the potential to overcome the barriers to electric vehicle (EV) adoption by converting road segments into powered lanes (electric roadways or ERs). This paper focuses on examining public acceptance by determining the factors that affect the short-term and long-term intention to purchase an EV and drive on ERs; identifying the clusters of the technology acceptance; and assessing the value of travel time savings (VTTS) for driving on ERs, in general, and for different clusters. A survey was conducted in Los Angeles, California and distributed online, gathering 600 responses. The results showed that respondents’ innovativeness, lifestyle and environmental consciousness significantly affect the intention to drive on ERs in the short- and long-run. Public acceptance, in general, seems to be related to charging patterns, safety of commute route, and safety concerns for ERs, among other factors, and depends on the implementation time of the technology. Higher VTTS were found for electrified lanes exclusive for EVs on interstate and arterial roads. People who were classified as positive toward ERs had higher VTTS for ERs followed by those who were neutral and those who were concerned about ERs. This paper can help policymakers and transport operators devise strategies to accelerate EV adoption by appropriately implementing the ER technology.

The continued growth and utilization of ride-sourcing services have reshaped traditional perceptions of urban mobility. As the popularity of this relatively novel mode of travel has continued to grow, there has been a greater focus on the effect that the adoption and use of ride-sourcing have on the utilization of more traditional modes of transportation. With a few notable exceptions, prior studies on the topic often rely on descriptive statistics to understand the modes that are replaced by ride-sourcing for specific trips. This study utilizes structural equation models to investigate the factors influencing the decision to choose public transit and taxi as their so-called substitute alternative mode for a recent ride-sourcing trip, using data from a web-based survey of Toronto residents. The results indicate that socio-economic and trip-related attributes influence the selection of the substitute alternative mode, and to a lesser extent, attitudes toward ride-sourcing services. In particular, students, persons from lower-income households, and transit pass owners were found to be more likely to substitute ride-sourcing for public transit, while older respondents and persons from wealthier households were more likely to select taxi instead. The study outcomes shed light on the types of transit trips that are more likely to be replaced in favor of ride-sourcing services and the attributes of individuals who are more likely to make this replacement. This information can inform policies that aim to reduce the substitution of ride-sourcing for public transit, which can worsen both congestion and emissions.

The intention-behavior relationship is examined in a keep-left experiment involving interactions of pedestrians and cyclists on a shared footpath in Singapore as a case study. Data collection entailed before-and-after on-site perception surveys and naturalistic observations from field-recorded video footages. The perception surveys involved 120 pedestrians and 119 cyclists in the before period, and 59 pedestrians and 60 cyclists in the after period. Movement profiles were captured for 303 pedestrians, 148 cyclists, and 90 pedestrian-cyclist interactions for the before period, and 262, 174, and 76, respectively for the after period. The findings suggest that the “keep left” markings on the footpath are generally effective in improving users’ behavioral intention in keeping left. However, whereas cyclists did change their behavior, pedestrians did not do so which is rationalized as being due to their previously formed habit. The findings reveal a weak intention-behavior relationship for pedestrians’ habitual behavior. As consistent with the unchanged pedestrians’ behavior, no distinct changes in the pedestrian-cyclist interaction patterns were observed after the “keep left” treatment. There was no significant change in the perceived conflict level and the safety level as well.

The urban population are increasingly suffering from rising transport costs, worsening air quality, longer commuting time, and traffic congestion. Although much scholarly attention has focused on modeling urban traffic congestion, news contents about traffic jam have rarely been examined systematically. This study selects 12 large metropolitan cities across Asia (Beijing, Bengaluru, Hong Kong, Jakarta, Kuala Lumpur, Manila, and Singapore), Oceania (Auckland and Sydney), Europe (London) and North America (Los Angeles and Toronto) for an in-depth content analysis. More than 40,000 pieces of congestion-related articles in the 2009–2018 period have been identified in the local news media of these cities. We apply techniques of text analytics to analyze underlying themes in relation to sustainable transport and congestion-mitigation measures. Also, a sentiment analysis is conducted to examine the level of frustration expressed. Results show that traffic congestion is no longer perceived to be primarily an economic issue. Concerns over the environmental impacts of traffic congestion were increasingly discussed. Based on the content analysis, cities in Asia mentioned a lot about congestion-related PM_2.5 pollution and climate change was a recurrent theme among non-Asian cities. Economic cost related to traffic congestion has received much more attention in high-income cities. With regard to congestion mitigation measures, terms related to promoting public and active transport was the most popular, followed by restriction and regulation measures, and then intelligent transport system (ITS) or smart mobility adoption. It is noteworthy that road capacity expansion has attracted the lowest coverage. Generally, high-density cities discussed more about public and active transport in alleviating traffic jams; and police enforcement was seen as important in tackling traffic congestion across all cities. In relation to the sentiment, there is a positive association between the overall traffic congestion level and the congestion frustration level expressed in local news.

Online food delivery has transformed the last-mile of food and grocery delivery, with unnoticed yet often significant impacts upon the transport and logistics network. This new model of food delivery is not just increasing congestion in urban centers though, it is also changing the contours and qualities of those doing delivery—namely through gig economy work. This new system of food consumption and provision is rapidly gaining traction, but assessments around its current and future sustainability tend to hold separate the notions of social, environmental and economic sustainability—with few to date working to understand how these can interact, influence and be in conflict with one another. This paper seeks to work with this broader understanding of sustainability, whilst also foregrounding the perspectives of gig economy couriers who are often marginalized in such assessments of the online food delivery system. We make use of systems thinking and Campbell’s conflict model of sustainability to do this. In assessing the online food delivery in this way, we seek to not only provide a counternarrative to some of these previous assessments, but to also challenge those proposing the use of gig economy couriers as an environmentally sustainable logistics intervention in other areas of last-mile logistics to consider how this might impact the broader sustainability of their system, now and in the future.