Asian Transport Studies最新文献

With the increasing importance of sustainability, warehouse sharing arises as a possible way to improve the logistics system efficiency. This paper studied the warehouse sharing platform systems (WSPS) and proposed an enhanced modelling approach for the WSPS design problem (WSPSDP) using the multi-allocation hub location routing problem framework. New elements, such as inter-warehouse transportation and multi-allocation scheme, were considered compared to the existing WSPS model. Then, an adaptive large neighbourhood decomposition search heuristic was applied to solve our problem. Computational experiments were conducted on different-sized instances to compare the WSPS model without inter-warehouse transportation (WSPSDP-WI) and the WSPS model with single-allocation scheme (WSPSDP-SA). The results suggested that our proposed WSPSDP model is more cost-efficient than the existing WSPS models, reducing 15.38% and 1.43% operation costs compared to the WSPSDP-WI and WSPSDP-SA models. Finally, our proposed WSPSDP model also has the potential to promote the utilisation of existing cheap idle warehouses.

Transit-oriented development (TOD) is a major planning tool to promote green transport mode share. There are many previous studies in this field but with very diverse research focuses and outcomes. This study has classified the research purposes of previous studies into four categories: exploratory; potential and challenges; performance evaluation; and in-depth investigation. To identify critical factors that might influence green transport systems, a systematic literature review is delivered via a meta-analysis. Specifically, green transport mode share was set as the dependent variable and a proxy for TOD outcomes. From the model results, several key factors are identified. For example, built environment planning (e.g., pedestrian sidewalks) plays a critical role in green transport systems. The main findings of this paper can provide clear direction to current TOD, such as how to improve TOD outcomes and providing planning guidance for potential TOD.

This study evaluated drivers' collision avoidance behavior by focusing on the timing of their visual detection of pedestrians when turning right at signalized intersections. A headset-based virtual reality driving simulator was used to monitor drivers' behavior. The experiment showed that early detection of pedestrians can reduce the potential for severe conflicts. Drivers found it difficult to detect pedestrians early when using a gap between oncoming vehicles to turn right. Based on gaze tracking, we propose and validate a safety level that could potentially evaluate the potential for conflict between pedestrians and a right-turning vehicle. To increase safety level reliability, the speed of the right-turning vehicle should be included in addition to the eye measurements.

Japan has used the Area Division Policy to control the disorderly spread of urban space for over 50 years. As a key component of area division, “urbanization promotion areas” are expected to promote land development, concentrate population within it, and prevent or slow down land and population expansion outside. To review the implementation of this system and provide a reference for future spatial optimization, quantitative methods to analyze the influence of urbanization promotion areas are important. This paper applies a regression-discontinuity design to study the impact of an urbanization promotion area on land development and population density in the Kofu urban area. The results indicate that the urbanization promotion area retains control over land and population, but development pressure remains on the urban periphery. To achieve orderly urban development, area division should be adjusted according to residential demands and coordinated with other recent land control policies.

In recent years, there has been an increasing demand for “Michi-no-Eki.” These roadside stations in Japan help solve food desert problems and enhance social interaction. Accordingly, the number of Michi-no-Eki with various urban amenities (e.g., supermarket, restaurant, and playground) has been increasing. However, there is no statistical model that can calculate the impact of a Michi-no-Eki with urban amenities on shopping difficulty or social interaction. Consequently, it can be difficult for local authorities to assess the need, the location, and the design of a Michi-no-Eki with urban amenities to ease shopping difficulty and enhance social interaction. This study aimed to (1) confirm the influence of Michi-no-Eki with urban amenities on shopping difficulty and social interaction, and (2) identify the factors influencing the impact of such Michi-no-Eki to support development of statistical models for shopping difficulty and social interaction.

Bus bunching is a critical issue in bus operation management. This study investigated the impacts of potential factors affecting bus bunching on a city-wide bus route network, using Taipei City as an example with its 267 bus routes and 4741 bus stops. Frequency of bus bunching was measured on an hourly basis using Automatic Vehicle Location data. Multilevel count models based on Conway-Maxwell Poisson distributions were developed, and the spatiotemporal distributions of random intercepts and residuals were examined. The results showed that the effects of bus lane design, bus route network and operation, and traffic characteristics were consistent with those reported in prior studies. However, a quadratic relationship between bus route length, best measured by number of stops, and bus bunching was identified, which explains the conflicts between the theories of bus bunching propagation and self-repair. Bus route design often faces a dilemma between extending route length to collect additional passengers and reducing in-vehicle travel time to enhance service quality. The findings of the study could be a useful reference for bus route design to minimize bus bunching.

We used a Bayesian structural time series (BSTS) model to evaluate the short- and long-term impacts of the coronavirus disease 2019 (COVID-19) pandemic on transit ridership. We accessed smart-card data from Miyazaki City, Japan. We defined attributes based on card types (commuters, students and elders) and aggregated attributes (high-frequency users and “frequently used bus-stop pairs”) and analyzed the differences between all users and the extracted groups. Among card types, the short-term impact on elders was almost identical to that of all users, however, the short-term impact of the pandemic on commuters was much smaller and that of students was much larger than that of all users. The long-term trend of commuters was less fluctuated than that of all users. The long-term ridership recovery of students was higher than that of all users. Among aggregated attributes, the short-term impact was smaller on “high-frequency users” than on all users: the decrease in ridership immediately after the appearance of COVID-19 was smaller among “high-frequency users” than among all users. The long-term recoveries in the riderships of the extracted subsets were slower than the recoveries of riderships of all users.

Considering the relevance of providing good accessibility to public transport and adequate non-motorized infrastructure to lower social inequality and exclusion, this study evaluates the public transport coverage and the quality of the walking infrastructure in the thirty barangays of Pasig City (Philippines). Using regression analysis, the research attempted to identify socioeconomic factors at the barangay level that correlated to the assessed walkability and public transport accessibility. It was found that barangays with less financial resources, having higher populations, and with a larger share of lowest monthly income households and informal settlements were more likely to have lower walkability. Similar results to explain poorer access to public transport were also observed. These results can be used to o identify disadvantaged barangays to prioritize for improvement for social inclusivity.

The presence of illegal parking attendants (IPAs) in Padang, Indonesia, indicates the practice of parking mismanagement. This study explored why the Padang government cannot control the widespread menace of IPAs using an interpretive approach based on mixed qualitative research. Data collection techniques were conducted through interviews with three different types of respondents. In addition, observations were made to further understand the phenomenon and triangulate the interview findings. The results revealed 3 indicators of parking mismanagement practice: (1) the inappropriate cash flow mechanism of parking charges, (2) the parking signs limitation, and (3) the weak law enforcement. Handling the IPA problem is a part of city development planning that all departments in the local government must pay attention of. The widespread existence of IPAs represents parking mismanagement and local government failure. We call for all the relevant departments and authorities to discuss and collaborate in finding a comprehensive solution to the IPA problem that has impacted Padang's tourism industry. We propose beneficial parking management design, technology utilization, and cashless procedures to overcome this problem.