Asian Transport Studies最新文献

The 36-month taxi crash data include 41,538 taxi crash records distributed throughout 29 districts of Singapore (including Changi Airport), involving 16,933 taxis and 16,705 taxi drivers. We purposely use these data to analyze the impacts of nine influential factors on taxi crashes and give quantitative and practical suggestions on taxi driving safety. Our solid analysis shows that the maximum daily working time for a taxi driver is suggested to be less than 10 h for safety concerns because it could reduce the possible taxi crashes. In addition, the likelihood of taxi crashes in the daylight is the highest when compared to road conditions with streetlights or one without streetlights at all. We further use the random forest method to find the critical influential factors in blue and yellow taxi crashes. The relief and switcher modes are the two unique factors contributing to taxi crashes that are different from private car crashes. The findings of this study are of significant value for taxi operators and policymakers.

App-based ride hailing services (ABRHS) are becoming increasingly popular among masses in recent years. The assessment of customer's satisfaction with service quality of ride hailing services is essential for success of these services in the long run. Therefore, the current study aims to understand better the complexities of factors influencing the customer satisfaction and intentions towards app-based ride hailing services through the finding of a questionnaire study in Lahore, Pakistan. The collected data from 865 respondents were analyzed using exploratory factor analysis and structural model of traveler's satisfaction with the service quality was constructed. Structural Equation Modelling (SEM) also revealed that the commuter's overall satisfaction with service quality of app-based ride hailing service has positive impact on user's intentions to continue using services in future. The SEM further explained that overall satisfaction with the services mediates the relationship between service quality attributes including service & system attributes, service attraction attributes, network design attributes, and service reliability & professionalism attributes and commuter's intentions to continue using in the future. The further improvements in the quality attributes of app-based ride hailing services would enhance the traveler's overall satisfaction and their intentions to continuing using these services in the future.

The roadside rest area (RRA), called “Michi no eki” in Japanese, is a facility that provides comfortable rest and diverse services to road users through community initiatives. There are many RRAs developed since its first establishment in 1993. It is important to identify the RRAs and regions where a certain function is weak, so as to build more substantial RRAs in the future. In this research, we divided the RRA functions into four categories, rest, information, regional collaboration, and disaster prevention, and listed their evaluation items. By checking the performance of RRAs in terms of the four functions, we can evaluate whether their performance can be improved by sharing functions with or complementing neighboring RRAs. We then calculated the evaluation results. During the evaluation, we compared two types of cases: one where the RRA was evaluated alone and the other where overlay evaluation was performed. The latter considered the distance among RRAs so that a complementary relationship with others could be expressed. Furthermore, we devised a method to calculate the impact of RRAs on an area and evaluate the region for this. By applying these methods, we were able to answer the question: “Where and for what functions are roadside rest areas needed?"

Property value capture is expected to financially support investments in mass rapid transit (MRT) in many developing countries where conventional public funding is insufficient to meet the local demand. This study presents a case study to examine the financial feasibility of developing and operating a new metro line through property value capture and land-use control in Hanoi. First, property prices are estimated with local data for both residential and office properties, using hedonic price models. Next, a travel demand model, including trip generation and attraction, trip distribution, and travel mode choice sub-models, is estimated with person trip survey data, following a conventional four-step model framework. Subsequently, multiple scenarios are built for a hypothetical investment in an MRT line in Hanoi. The scenarios are assumed considering socio-demographics and transportation infrastructure in the context of new taxation levied on local properties near MRT stations and land-use controls with respect to population and employment to increase their densities near MRT stations. The estimated models are applied to each scenario to estimate the expected financial viability of MRT development and operation. The results reveal that the property value capture and land-use control could significantly improve the operator's profitability.

In the years 2000–2016, the sector with the largest share of total final energy consumption in the Philippines is transportation with an average share of 34.2%. The study aims to estimate the baseline transportation energy demand of road, maritime, air and rail transportation modes in 2016 using a bottom-up approach. Through a bottom-up approach and utilizing available transportation activity and fuel economy/energy efficiency data from secondary sources coupled with primary road transportation activity and fuel economy and railway operations survey data, the baseline transportation energy demand of the Philippines is estimated to be 12,956.1 ktoe in 2016. A comprehensive estimation of transportation energy demand of the country using bottom-up methodologies with more detailed transportation activity and vehicle fleet of the different transportation modes is implemented. Finally, the collection and keeping of certain data that are critical in the estimation of the transportation energy demand are recommended.

To attract the private sector to railway public-private partnership (PPP) projects, the public sector is required to share risks resulted from a failure in demand forecasting. The Korean government introduced BTO-risk sharing (BTO-rs) as a new PPP arrangement to promote investments in railway projects. BTO-rs is to share operating costs and revenues by both the public and private sectors. This study explains the methodology of BTO-rs. Based on BTO-rs, this study conducted the sensitivity analysis for the real railway project. The result of the sensitivity analysis suggests that sharing ratio of the excess operating profit and loss of the government and demand are the most influential factors affecting the concessionaire’s rate of return.

In Japan, private car passenger services have recently been increasing to help secure mobility for older adults. The policy of using passenger transport with private cars is included in the 2020 revision of the Act on the Revitalization and Rehabilitation of Local Public Transportation Systems. In this study, we examined the profitability, productivity, and operational cost structure of these services through a survey of private passenger transport for passenger services with private car by hired driver (PPHDs) and transfer services with private car by volunteer driver (TPVDs). We found that the production function is correlated with the driver and vehicle in PPHDs and TPVDs as well as the production itself, such as vehicle-kilometers and number of passengers. Cost structures tend to differ in economies of scale, and the cost function also tends to differ in both cases. These findings have practical policy and business implications.

Urban housing and transportation are strongly related systems. However, few studies have explored the balance between urban housing and transportation systems. Excess investment in transportation systems puts intense pressure on local governments' budgets, especially in shrinking urban areas. In this study, we measured the spatial efficiency of Sapporo city's transportation system using data envelopment analysis. Our results highlight that two-thirds of the urban area were running below capacity. Among them, car parking sites and car parking areas had the highest surplus capacity at 27.81% and 15.86%, respectively. Meanwhile, bus stops, road density, and train station service areas exceeded the demand by about 12%–16%. The results also show that the shortfall in the filling rate of housing was high at 3.82%. Finally, based on our analysis, we introduced recommendations for city policymakers to improve the city's overall efficiency.

The stockyard is a core part of a coal export terminal (CET). Constrained by various influencing factors, studies to deal with the complicated scheduling process of a CET remain insufficiently comprehensive. Until now, for coal stockyards, most stacking scheduling strategies are still manual. The low efficiency of the stockyard has become the main bottleneck that restricts the throughput of a CET. Therefore, this paper proposes a simulation model to capture the whole process of CET operation. A large CET in northern China was selected as a case study to investigate the coal stockyard operation. Four stock position scheduling strategies were analyzed and compared through the simulation technique. Discussion of the simulation results under different strategies can provide a comprehensive basis for stock position scheduling strategy selection by CET managers.

Several innovative mobility pilots have been launched in Japan to address the vicious spiral of decreasing usage, revenue, and attractiveness of rural public transport which would support the residents' daily lives. This research examines these case studies to discern measures for implementing sustainable innovative mobility in local areas that are integrated into a wider public transport (PT) network. The context in Japan is in contrast to Europe, in that the main providers of PT services in Japan are private companies. Examining the result of interviews with the planners and stakeholders of these Japanese initiatives, this paper recommends mobility planners consider several perspectives such as envisioning future area management, connecting private-sector invention and local public transport operators’ resources as well as other sectors, deploying technology that matches small area scale and user needs, integration into wider public transport network, for sustainable rural mobility.