Searched for: author%3A%22Luo%2C+D.%22
(1 - 16 of 16)
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Xu, Y. (author), Luo, D. (author), Qian, QK (author), Chan, Edwin H.W. (author)
In the original publication of the article, the first affiliation “School of Public Administration, Hunan University, Changsha, China” was incorrectly repeated as fourth affiliation. The fourth affiliation should be “Building and Real Estate Dept. Hong Kong Polytechnic University, Hong Kong SAR”. The original article has been corrected.
journal article 2023
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Xu, Ying (author), Luo, D. (author), Qian, QK (author), Chan, Edwin Hon Wan (author)
In response to excessive energy consumption and severe pollution, green building has gained increasing attention around the world. Governments’ top-down incentive schemes and consumers’ bottom-up choice preferences are two major channels of residential green building promotion. Regarding the bottom-up route, high liveability performance is...
journal article 2022
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Luo, D. (author)
Public transport (PT) plays an increasingly important role in solving mobility challenges, especially in densely populated metropolitan areas. Further improving PT systems requires more advanced planning and operations. Fortunately, the considerable amount of data that have become increasingly available for PT systems offer an opportunity to...
doctoral thesis 2020
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Luo, D. (author), van der Heijden, H.M.H. (author), Boelhouwer, P.J. (author)
The management of the public rental sector has undergone tremendous change worldwide. Especially in China, given the large supply of public rental housing (PRH) in the short term, the management of PRH (PRHM) has been faced with a series of problems. The existing PRHM is unsustainable and a new scheme has been proposed. In this study we analyze...
journal article 2020
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Wang, Z. (author), Luo, D. (author), Cats, O. (author), Verma, T. (author)
Hierarchy is regarded as a natural phenomenon of public transport networks (PTN). The imbalanced distribution of passenger flow result in a hierarchical structure of PTN and it is also related to the development of technology and the introduction of new modes. However, there is still a lack of knowledge on how to identify the hierarchical...
conference paper 2020
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Degeler, V. (author), Heydenrijk-Ottens, L.J.C. (author), Luo, D. (author), van Oort, N. (author), van Lint, J.W.C. (author)
We perform an analysis of public transport data from The Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location and automated fare collection data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised machine learning techniques,...
journal article 2020
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Yap, M.D. (author), Luo, D. (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Minimizing passenger transfer times through public transport (PT) transfer synchronization is important during tactical planning and real-time control. However, there are computational challenges for solving this Timetable Synchronization Problem (TSP) for large, real-world urban PT networks. Hence, in this study we propose a data-driven,...
journal article 2019
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author), Currie, Graham (author)
Network science offers powerful concepts and methods for studying complex systems, such as public transport networks. However, many existing studies on complex network analysis of public transport networks were primarily motivated to test network science concepts using real-life networks. Consequently, important properties related to public...
journal article 2019
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
We present a pioneering investigation into the relation between passenger flow distribution and network properties in public transport systems. The methodology is designed in a reverse engineering fashion by utilizing passively measured passenger flow dynamics over the entire network. We quantify the properties of public transport networks using...
journal article 2019
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Yap, M.D. (author), Luo, D. (author), Cats, O. (author)
For large urban networks and hubs, optimizing transfer synchronization becomes computationally challenging. The objective of this paper is therefore to develop a generic, data-driven methodology to determine the key line/direction-combinations to synchronize based on passenger flows. We developed an approach to detect communities of directional...
conference paper 2018
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Degeler, V. (author), Heydenrijk-Ottens, L.J.C. (author), Luo, D. (author), van Oort, N. (author)
We perform analysis of public transport data from March 2015 from The<br/>Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location (AVL) and automated fare collection (AFC) data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised...
conference paper 2018
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
It has been rarely investigated in the field of public transport whether passenger ow can be explained by network topology. Based on the rich data sets from The Hague, The Netherlands, we conduct this study try- ing to shed light upon this question. The relation between passenger ow and topological measures in different public transport network...
conference paper 2018
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Heydenrijk-Ottens, L.J.C. (author), Degeler, V. (author), Luo, D. (author), van Oort, N. (author), van Lint, J.W.C. (author)
In this extended abstract, we show the supervised learning approach to<br/>predicting passenger load of trams, based on historical passenger load patterns. We look at two different cases: predicting long-term passenger load of any given day and time, and predicting short-term passenger load at a particular public transport vehicle.
conference paper 2018
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Luo, D. (author), Bonnetain, L. (author), Cats, O. (author), van Lint, J.W.C. (author)
Obtaining load profiles of transit vehicles has remained as a difficult task for transit operators because of technical and financial constraints. Although a significant advance in transit demand and supply data collection has been achieved over the past decade, information related to load profiles at the vehicular level is either impossible...
journal article 2018
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
Transit networks are complex systems in which the passenger flow dynamics are difficult to capture and understand. While there is a growing ability to monitor and record travelers' behavior in the past decade, knowledge on network-wide passenger flows, which are essentially high-dimensional multivariate data, is still limited. This paper...
conference paper 2017
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
So-called tap-in–tap-off smart card data have become increasingly available and popular as a result of the deployment of automatic fare collection systems on transit systems in many cities and areas worldwide. An opportunity to obtain much more accurate transit demand data than before has thus been opened to both researchers and practitioners....
journal article 2017
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