Influence of TOD Modes on Passenger Travel Behavior in Urban Rail Transit Systems

Li, Xiaohong; Xiao, Qin; Zhu, Yu; Yang, Yuting

doi:10.1007/s40864-022-00179-6

Cited by 11 publications

(8 citation statements)

References 13 publications

(12 reference statements)

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“…The results obtained indicate larger homogeneity among the unfamiliar drivers in terms of their switching and diverting behaviour, while familiar drivers demonstrate larger taste and preference variations. Li and Xu [25] established agent models from the perspective of passengers and trains based on the theory of multi‐agent. Based on analyzing their interaction, he established a passenger flow simulation model under sudden conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal path inference model for urban rail transit passengers based on travel time data

Luo

Lin

Lyu³

et al. 2023

IET Intelligent Trans Sys

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Although the 'one ticket transfer' mode brings convenience to passengers, it also poses challenges to the passenger flow assignment. The current widely used multi-path probability assignment model based on traffic cost realizes the passenger flow distribution from the macro-perspective but lacks the consideration of passenger attributes and the time-varying characteristics of passenger travel time. Here, a novel spatiotemporal path inference model is proposed for Urban Rail Transit (URT) passengers based on the travel time data and train operation information. In this study, the impact of passengers detained at the platform on passenger travel itinerary is considered by characterizing the passenger detention rate. The proposed method realizes the reverse inference of passenger path from the micro-perspective, and can accurately describe the specific travel process of each passenger. Moreover, the real-world data of Shenzhen Metro in China is taken to verify the rationality of the proposed model. The results show that the model is in good agreement with the existing clearance model and can accurately infer the passenger travel itinerary from the micro-perspective. The proposed method provides a more refined solution for the spatial-temporal assignment of URT passenger flow.

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Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal path inference model for urban rail transit passengers based on travel time data

Luo

Lin

Lyu³

et al. 2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…Because mobile devices continue to emit probe requests, we can also determine arrival and departure times based on when its MAC address was first and last recorded. The duration can be calculated by taking the difference between those two times (14,15).…”

Section: Equipmentmentioning

confidence: 99%

Recommendation System for Tourist Attractions Based on Wi-Fi Packet Sensor Data

Hanawa

Terabe

Yaginuma

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The needs of tourists have become diversified in recent years, and providing tourist information can help satisfy these various needs. Although such information should reflect actual travel behavior, it is not easy to collect data on how tourists visit tourist attractions. Nowadays, it is not uncommon to see tourists looking at their smartphone, searching for information about where to go next. If a recommendation system could suggest the next destination, more tourists would appreciate the information and visit there. Therefore, we envisioned a recommendation system based on records of tourist movements from Wi-Fi packet sensor data. The system would provide tourists with relevant information about the recommended locations. The aim of this research was to investigate the computation method for the recommendations, which is necessary to demonstrate this idea. We also compared the results and characteristics of recommendations made based on cosine similarity. The results showed that, when using Wi-Fi data without cleaning, some tourist spots were strongly recommended because of bias in the data observations. Therefore, a dataset was also used that was restricted to tourists who visited three or more places. As a result of this restriction, the accuracy of the recommendations was improved. Furthermore, we made a recommendation based on a dummy variable that represented whether tourists had visited each location, which enabled recommendations to be generated for locations where it was difficult to observe data.

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“…Availability service fee P is the average annual construction cost (converted into annual present value) the government paid to the SPV companies for the availability of the PPP projects, including overall construction cost, fair return and financial cost during the operating period [3] . Among the main transaction structure of the PPP market, the payment modes of the availability service fee P can be divided into three types, namely the Ministry of Finance formula, average capital formula, and average capital plus interest formula [4][5][6][7] .…”

Section: Availability Service Feementioning

confidence: 99%

Study on the impact of PPP project payment formula on investment income

Wang,

Zhang,

Yue

et al. 2021

VFC

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Nowadays, with the increasingly fierce competition in the PPP market, the bidding quotation and investment returns are gradually declining. This paper systematically analyzes the current transaction structure and payment formulas commonly used in PPP projects, such as the Ministry of Finance formula method, average capital method as well average capital plus interest methods, and variant forms such as price-tax separation and equity-debt separation methods. By comparison, the advantages and disadvantages of different payment modes are displayed as well as matters needing attention. The Ministry of Finance formula method usually offers little operating subsidy in the early period and more subsidy in the later period, which is difficult for the companies to repay the capital and interest in the early period. Due to influence of the discount rate with reference to the local government bond yields during the same period, the investment returns are generally not promising and is not commonly used in actual operation. The average capital plus interest method maintains a stable level of operating subsidies every year, and owns a good capability to repay the capital and interest, thus having a relatively fair investment return. Therefore, it is the most commonly used method at present. In terms of the equal capital method, the operating subsidy is usually huge in the early period and less in the later operation period, which will increase the financial burden of the local governments, so it is rarely recognized by the local government in the actual operation. At the same time, this article analyzes the impact of different methods of repaying the capital and interest on the project investment returns. As average capital plus interest repayment can fully take the advantage of the low-cost debt to refinance, the project investment return is also higher than the average capital method in the same project.

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Influence of TOD Modes on Passenger Travel Behavior in Urban Rail Transit Systems

Cited by 11 publications

References 13 publications

Spatiotemporal path inference model for urban rail transit passengers based on travel time data

Spatiotemporal path inference model for urban rail transit passengers based on travel time data

Recommendation System for Tourist Attractions Based on Wi-Fi Packet Sensor Data

Study on the impact of PPP project payment formula on investment income

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