Vehicle trajectory-clustering method based on road-network-sensitive features

Existing trajectory-clustering methods do not consider road-network connectivity, road directionality, and real path length while measuring the similarity between different road-network trajectories. This paper proposes a trajectory-clustering method based on road-network-sensitive features, which can solve the problem of similarity metrics among trajectories in the road network, and effectively combine their local and overall similarity features. First, the method performs the primary clustering of trajectories based on the overall vehicle motion trends. Then, the map-matched trajectories are clustered based on the road segment density, connectivity, and corner characteristics. Finally, clustering is then merged based on the multi-area similarity measure. The visualization and experimental results on real road-network trajectories show that the proposed method is more effective and comprehensive than existing methods, and more suitable for urban road planning, public transportation planning, and congested road detection.

Exploring Equity in Public Transportation Planning Using Smart Card Data

Existing public transport (PT) planning methods use a trip-based approach, rather than a user-based approach, leading to neglecting equity. In other words, the impacts of regular users—i.e., users with higher trip rates—are overrepresented during analysis and modelling because of higher trip rates. In contrast to the existing studies, this study aims to show the actual demand characteristic and users’ share are different in daily and monthly data. For this, 1-month of smart card data from the Kocaeli, Turkey, was evaluated by means of specific variables, such as boarding frequency, cardholder types, and the number of users, as well as a breakdown of the number of days traveled by each user set. Results show that the proportion of regular PT users to total users in 1 workday, is higher than the monthly proportion of regular PT users to total users. Accordingly, users who have 16–21 days boarding frequency are 16% of the total users, and yet they have been overrepresented by 39% in the 1-day analysis. Moreover, users who have 1–6 days boarding frequency, have a share of 66% in the 1-month dataset and are underrepresented with a share of 22% in the 1-day analysis. Results indicated that the daily travel data without information related to the day-to-day frequency of trips and PT use caused incorrect estimation of real PT demand. Moreover, user-based analyzing approach over a month prepares the more realistic basis for transportation planning, design, and prioritization of transport investments.

Periodic Timetabling with Integrated Routing: Toward Applicable Approaches

Periodic timetabling is an important, yet computationally challenging, problem in public transportation planning. The usual objective when designing a timetable is to minimize passenger travel time. However, in most approaches, it is ignored that the routes of the passengers depend on the timetable, so handling their routing separately leads to timetables that are suboptimal for the passengers. This has recently been recognized, but integrating the passenger routing in the optimization is computationally even harder than solving the classic periodic timetabling problem. In our paper, we develop an exact preprocessing method for reducing the problem size and a heuristic reduction approach in which only a subset of the passengers is considered. It provides upper and lower bounds on the objective value, such that it can be adjusted with respect to quality and computation time. Together, we receive an approach that is applicable for real-world problems. We experimentally evaluate the performance of the approach on a benchmark example and on three close-to-real-world instances. Furthermore, we prove that the ratio between the classic problem without routing and the problem with integrated routing is bounded under weak and realistic assumptions.

Scaling Up Innovative Participatory Design for Public Transportation Planning: Lessons from Experiments in the Global South

New data, new technologies, and greater computational power are changing the possibilities for involving stakeholders in transportation planning. This article explores these possibilities by comparing deployments of an interactive web-based public transportation mapping system in four cities of the Global South. Structured workshops focused on different public transportation improvement projects and involved different types of stakeholders. Despite the differences across the workshops, they allow for some comparison of the effects. In relation to the technology itself, participants broadly agreed about its usefulness and usability. Pre-/post-workshop surveys suggest that participants learned about the transportation projects presented but reveal modest evidence in relation to other impacts, such as learning about the concept of accessibility, and gaining an appreciation for the potential broader urban system impacts of public transport projects. Knowledge among the participants tended to converge, and the tool helped promote dialog among participants and generated some empathy for others. The workshop experiences provide some hope for such tools in enhancing public transportation planning processes, globally, but “scaling up” the technology would need to overcome institutional, technical, and procedural challenges.

APPLICATION OF IMPORTANCE PERFORMANCE ANALYSIS (IPA) METHOD FOR GENDER BASED PUBLIC TRANSPORTATION PLANNING IN CORRIDOR I BUS RAPID TRANSIT SEMARANG CITY

Gender-based public transport planning ensures accommodation of user group preferences to minimize inequality and discrimination among passenger needs. In the practice of accessing BRT Corridor I in Semarang City, it was identified that there were 3 aspects that determined the gap, namely: security, comfort, and accessibility. Importance Performance Analysis is used to describe the level of access gap by comparing service performance provided with passenger expectations. Of 70 respondents answered, 53 women and 17 men, two findings can be concluded. First, it was found that the value of disparity in male and female user groups was equally negative (-) which meant that services received by users were less than expected, with greater levels of access gaps for female user groups compared to male user groups with the value of the gap in women is -0.67 and in men -0.52. This shows that the problem of inequality in the female user group is more urgent to be addressed to meet adequate transportation needs and minimize the access gap that occurs in the female user group. Second, the main priority needs for handling access gaps in the female user group include accessibility aspects and comfort aspects, while in the male user group only the accessibility aspect is concerned. The role and purpose of the movement conducted are two key factors in priority differentiation.

Kondisi Potensi Wisata di Ekowisata Sungai Mudal Kabupaten Kulon Progo

This article basically has three objectives, knowing the tourism potential on Mudal River Ecotourism, knowing the stages and factors that influence tourism development and recommending tourism development efforts. To achieve these objectives the method used is descriptive qualitative by analyzing the data using weighting and scoring. The results of the study indicate that the existing tourism potential is amenity, accessibility, attractions and institutional support. The four potentials are in the 3rd phase including consolidation. The development effort that can be taken is to maximize land use without damaging the environment by taking into account the number of tourists; organize public transportation; planning management in the future; expand market segmentation and product diversification; improve the quality of human resources; actively involve local communities, align policy with the community and control the environment.

Estimasi Tujuan Penumpang Menggunakan Predictive Model dengan Data Smart Card

Bus Rapid Transit (BRT) is one of the main choices of public transportation that supports mobility of Jakarta community. As one of the main choices of public transportation, BRT should provide good service and always improve its performance. Needs for moving or mobility will cause a problem if the moving itself is heading at the same area and at the same time. That will cause some problems which are often faced in urban areas such as traffic and delay. To overcome those problems there needs to be a strategy to build good public transportation planning, besides need to know individual travel patterns to overcome problems and improve BRT service. In case to realize those plans needs to be built origin-destination (O-D) matrix. O-D matrix is a matrix that each cell is an amount of trip from the source(row) to the destination (column). O-D matrix is beneficial for analysis, design and public transportation management. O-D matrix also provides useful information like amount of trip between 2 different locations, that can be utilized as fundamental information for decision making for three levels of strategic management (long term planning), tactic (service adjustment and network development), and operational (scheduling, passenger statistic, and performance indicator). To build O-D matrix is required a predictive model that can be measured to predict passenger destination. The predictive model will be build using classification algorithms such as Decision Tree and K-Nearest Neighbor (KNN).