Nowadays, maritime air pollution is regarded as a severe threat to coastal communities’ health. Therefore, many policies to reduce air pollution have been established worldwide. Moreover, there has been a shift in policy and research attention from greenhouse gases, especially CO₂, to other air pollutants. To address the current local environmental challenges, this research analyzes the non-greenhouse gas emissions inventory (CO, NO_x, SO_x, PM, VOC, and NH₃) from ships in the second biggest port in Korea, the Port of Incheon (POI). A bottom-up activity-based methodology with real-time vessel activity data produced by the Vessel Traffic Service (VTS) is applied to obtain reliable estimations. NO_x and SO_x dominated the amount of emission emitted from ships. Tankers, general cargo ships, cruise ships, and container ships were identified as the highest sources of pollution. Based on the above results, this study discusses the need for long-term policies, such as the designation of a local emission control area (ECA) and the establishment of an emission management platform to reduce ship-source emissions. Furthermore, this study elucidates that significant emissions come from the docking process, ranging from 33.9% to 42.0% depending on the type of pollutant when only the auxiliary engines were being operated. Therefore, short-term solutions like applying exhausted gas cleaning systems, using on-shore power supplies, reducing docking time, or using greener alternative fuels (e.g., liquefied natural gas or biofuels) should be applied and motivated at the POI. These timely results could be useful for air quality management decision-making processes for local port operators and public agencies.

Due to increases in truck traffic, truck traffic safety has become an unavoidable societal issue in Korea. Truck traffic accidents were responsible for 24% of all traffic deaths in 2019, and the fatality rate was significantly higher than that of other forms of traffic. This study analyzes not only the driver and environmental factors, but also the traffic condition factors which are considered to contribute to the severity of truck traffic accidents, and presents practical truck safety solutions based on the findings. This study examines the fatal and serious injury truck traffic accidents in Incheon, which has large logistics facilities and the highest fatality rate (3.3) in Korea’s capital area. According to the regression analysis results, ‘Nighttime’, ‘Vehicle-single’, ‘Vehicle to Pedestrian’, ‘Lane violation’, and ‘Signal violation’ contribute to the severity of truck traffic accidents. Furthermore, truck traffic accidents in the logistics influencing area are more likely to be serious than in the non-influencing area. In terms of the traffic condition factors, the number of lanes, the maximum speed, and the number of road property-changing nodes were significant. The results of this study will provide useful data for establishing traffic safety policies in urban areas.

With the globalization of trade and the rapid development of the world economy, the problem of air pollution emissions produced by shipping is becoming more serious. The exhaust gas emitted by ships has become a significant source of air pollution in ocean and coastal areas. In recent years, governments have paid more attention to shipping emissions as a major source of environmental problems. Establishing ship emission inventories plays an important role in formulating ship emission control measures and regulations. This study aimed to propose a framework for calculating ship air pollutant emissions by comprehensively considering processes and methods officially used in developed countries such as the US and those in the EU, as well as South Korean circumstances and available data sets. The framework was divided into three sections: defining the inventory, data collection and analysis of the data, and ship air pollutant emission estimation. The results of this study provided a standard for South Korean domestic port emission inventories. A case study focused on the Gwangyang and Yeosu Ports, one of the leading port areas in South Korea, using adaptive data collection and emission-calculation processes. This study can be used as guidelines when the Ministry of Oceans and Fisheries (MOF) or the Ministry of Environment (MOE) adopts a standard process in South Korea in the near future. Subsequently, it is necessary to establish a national port emission management system to respond to world environmental changes.

Mobility as a Service (MaaS), which integrates public and shared transportation into a single service, is drawing attention as a travel demand management strategy aimed at reducing automobile dependency and encouraging public transit. In particular, there have been few studies that recognize traffic congestion during peak hours and identify related factors for practical application. The purpose of this study is to explore what factors affect Seoul commuters’ mode choice including MaaS. A web-based survey that 161 commuters participated in was conducted to collect information about personal, household, and travel attributes, together with their mode preference for MaaS. A latent class model was developed to classify unobserved latent groups based on trip frequency by means and to identify factors influencing mode-specific utilities (in particular, MaaS service) for each class. The result shows that latent classes are divided into two groups (public transit-oriented commuters and balanced mode commuters). Most variables have significant impacts on choice for MaaS. The coefficient of MaaS choice of Class 1 and Class 2 were different. These findings suggest there is a difference between the classes according to trip frequency by means as an influencing factor in MaaS choice.

As a result of growing international trade, port-related emission is a spreading issue for urban areas located near ports, especially, hub port cities where population density is concentrated. The awareness of rapidly increasing drayage trucks moving cargo between the port and its hinterland has motivated the necessity of a detailed look at negative environmental impacts of these truck fleets on the achievement of sustainability goals. This study analyzes emission inventory from trucking activities around the Port of Incheon (POI), especially focusing on major air pollutants, and suggests ideas to support establishing new policies in port area. Data on the number of truck, the year of production, the type of fuel, etc. during 2018 were collected from Incheon Port Security and Korea Transport Safety Authority. A bottom-up methodology is applied based on guideline from the U.S. Environmental Protection Agency (EPA). As results, the major role of drayage truck fleets to local air pollution was highlighted with the high contribution of CO and NO_x emissions. Hence, this study suggested the establishment of Emission Control Area (ECA) and Affected Zone on the landside as well as implementing Integrated Information System and Truck Appointment System to reduce congestion at gate, limit the number of emissions and minimize negative impacts to local community.

SCF (Supply Chain Finance), as an emerging technology-driven financial optimization approach, has grown quickly worldwide with the development of information technology. China is one noteworthy country influenced by SCF development; its traditional financial market structure dominated by banks is undergoing change. The E-commerce-centered SCF has evolved into the representative capital provider in the new financial “Blue Ocean” market. For capturing competitiveness, Chinese JD (Jingdong) SCF practice backed to JD E-commerce is a typical example involving business model innovations, but with few previous related studies on this aspect. Therefore, to fill the research gap, this paper introduces a hybrid theoretical analysis of the BMC (Business Model Canvas) considering a three-layer strategic innovation structure and financial analysis regarding a modified competitive advantages-gaining model to comprehensively explore the recent innovative development and transformation of JD SCF business based on the perspective of competitive advantages. This study identifies JD SCF’s two times of business model innovations that benefit from its sustainable development; verifies that “cost”, “differentiation”, and “focused strategy” are three means for JD SCF practice gaining competitiveness at different development stages and simultaneously emphasizes that the latter two are influenced by business model innovation. The mixed analysis work in this paper may contribute both theoretical and practical implications.