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Prof. Dr. Anthony Chen
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

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Research Keywords & Expertise

0 Ransportation systems modeling and analysis
0 Transportation network reliability/vulnerability/flexibility/redundancy/resiliency analysis
0 Transportation network design under uncertainty
0 Transportation and the environment
0 Non-motorized transportation modeling

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Transportation and the environment
Path flow estimator and its applications in transportation planning
Sensor location for transportation networks

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Journal article
Published: 27 August 2021 in Transportation Research Part E: Logistics and Transportation Review
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In this paper, we develop a new tool to enhance the resilience of transportation networks by optimizing route diversity redundancy from travelers’ perspective. The decision of where to add new links is made to generate as many origin–destination (O-D) pairs with alternative distinct routes as possible to potentially alleviate the impact of disruptions. Mathematically, we formulate the problem as a binary integer bi-level program (BLP), where the upper-level subprogram maximizes the total number of O-D pairs with alternative distinct routes subject to a budgetary constraint, and the lower-level subprogram counts the maximum number of distinct routes between each O-D pair under a given design scheme. Computationally, the BLP model can be equivalently reformulated as a single-level mixed-integer linear program (MILP) by using the equivalent continuous relaxation and optimality conditions of the lower-level subprogram and linearization techniques for the complementarity conditions. The globally optimum solution of the MILP structure of the reformulated model can be obtained using existing algorithms in commercial software packages. Numerical examples are provided to demonstrate the validity, features, and flexibility of the proposed route diversity-oriented network design model in terms of optimizing the network redundancy. The proposed route diversity redundant network design contributes toward enhancing network resilience against disruptions in the pre-disaster stage of transportation network planning and assists in redundancy-oriented time-dependent network growth. It can also serve as an upper-bound solution for the long-term network design problem when travelers’ route choice behaviors and travel demands are considered in the design process.

ACS Style

Xiangdong Xu; Anthony Chen; Guangming Xu; Chao Yang; William H.K. Lam. Enhancing network resilience by adding redundancy to road networks. Transportation Research Part E: Logistics and Transportation Review 2021, 154, 102448 .

AMA Style

Xiangdong Xu, Anthony Chen, Guangming Xu, Chao Yang, William H.K. Lam. Enhancing network resilience by adding redundancy to road networks. Transportation Research Part E: Logistics and Transportation Review. 2021; 154 ():102448.

Chicago/Turabian Style

Xiangdong Xu; Anthony Chen; Guangming Xu; Chao Yang; William H.K. Lam. 2021. "Enhancing network resilience by adding redundancy to road networks." Transportation Research Part E: Logistics and Transportation Review 154, no. : 102448.

Journal article
Published: 04 August 2021 in Transportation Research Part E: Logistics and Transportation Review
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The disruption of critical components in a transportation network can bring about severe network performance degradation and requires a relatively long period to recover, which would lead to commuters’ day-to-day route choice adjustment. Under disruptions, there would be greater travel time variability (objective uncertainty) and travelers’ perception error uncertainty (subjective uncertainty) in the transportation network. However, no vulnerability analysis method in the literature can consider the day-to-day network performance fluctuation under uncertainties. In this paper, we develop a new day-to-day dynamic network vulnerability analysis approach that allows the consideration of day-to-day network performance fluctuation based on a new day-to-day dynamic model considering both objective travel time uncertainty and subjective perception error uncertainty. Compared to most existing day-to-day models that either adopt User Equilibrium (UE) or Logit-based route choice criterion, the new day-to-day model has two advantages: (1) the Weibit model is used to capture travelers’ subjective perception error uncertainty, which does not have the perfect information assumption in the UE model, or the identically distributed perception error assumption in the Logit model; and (2) the mean-excess travel time (METT) concept is used to capture the objective travel time uncertainty, which handles the inconsideration of travel time variability in most day-to-day models while remaining computational tractability. Based on the proposed day-to-day dynamic model, we develop a new component importance metric for network vulnerability analysis. This new metric characterizes the post-disruption day-dependent consequences to alleviate the limitation of only assessing the final static equilibrium consequence as in the existing studies of vulnerability analysis. Numerical examples are provided to demonstrate the features of the proposed day-to-day dynamic model and the new component importance metric, as well as their applicability in identifying the critical bridges in the Winnipeg network. The proposed approach provides a new decision support tool for planners and managers in assessing the consequences of disruptions, identifying the critical components, and determining the recovery schedules after disruptions.

ACS Style

Xiangdong Xu; Kai Qu; Anthony Chen; Chao Yang. A new day-to-day dynamic network vulnerability analysis approach with Weibit-based route adjustment process. Transportation Research Part E: Logistics and Transportation Review 2021, 153, 102421 .

AMA Style

Xiangdong Xu, Kai Qu, Anthony Chen, Chao Yang. A new day-to-day dynamic network vulnerability analysis approach with Weibit-based route adjustment process. Transportation Research Part E: Logistics and Transportation Review. 2021; 153 ():102421.

Chicago/Turabian Style

Xiangdong Xu; Kai Qu; Anthony Chen; Chao Yang. 2021. "A new day-to-day dynamic network vulnerability analysis approach with Weibit-based route adjustment process." Transportation Research Part E: Logistics and Transportation Review 153, no. : 102421.

Journal article
Published: 29 July 2021 in Transportation Research Part A: Policy and Practice
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Freight transportation network is an essential backbone for supporting the industrial activities and economic developments of the nation and global trade. In this paper, we extend the network-based measures recently developed by Xu et al. (2018) for assessing freight transportation network redundancy – an important component in making freight transportation networks more robust and resilient against disruptions. Redundancy of freight transportation networks is characterized by two network-based measures. The route diversity measure evaluates the existence of multiple efficient routes available for freight users or the degree of connections between a specific origin-destination (O-D) pair, while the network spare capacity measure quantifies the network-wide spare capacity with an explicit consideration of congestion effect and modal split. These two measures can complement each other by providing a two-dimensional characterization of freight transportation network redundancy that can be used to provide information to freight users as well as to assist network planners in making future infrastructure investment decisions to enhance the redundancy of freight transportation networks. A case study of the Utah freight network for transporting coal is provided to demonstrate the features of the two network-based redundancy measures as well as the applicability of assessing the redundancy of freight transportation networks. The analyses reveal that the two measures provide useful results from two perspectives that may be of benefit to freight carriers and transportation system planners.

ACS Style

Sarawut Jansuwan; Anthony Chen; Xiangdong Xu. Analysis of freight transportation network redundancy: An application to Utah’s bi-modal network for transporting coal. Transportation Research Part A: Policy and Practice 2021, 151, 154 -171.

AMA Style

Sarawut Jansuwan, Anthony Chen, Xiangdong Xu. Analysis of freight transportation network redundancy: An application to Utah’s bi-modal network for transporting coal. Transportation Research Part A: Policy and Practice. 2021; 151 ():154-171.

Chicago/Turabian Style

Sarawut Jansuwan; Anthony Chen; Xiangdong Xu. 2021. "Analysis of freight transportation network redundancy: An application to Utah’s bi-modal network for transporting coal." Transportation Research Part A: Policy and Practice 151, no. : 154-171.

Journal article
Published: 15 July 2021 in Sustainability
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Park and ride (P&R) facilities provide intermodal transfer between private vehicles and public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently developed Weibit-based model was adopted to represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alternatives (IIA) property was explored and used to linearize its nonlinear probability. Some numerical examples are provided to demonstrate a feature of the proposed mixed integer linear programing (MILP). The results indicate a significant impact of route-specific perception variance on the optimal P&R facility locations in a real-size transportation network.

ACS Style

Songyot Kitthamkesorn; Anthony Chen; Sathaporn Opasanon; Suwicha Jaita. A P-Hub Location Problem for Determining Park-and-Ride Facility Locations with the Weibit-Based Choice Model. Sustainability 2021, 13, 7928 .

AMA Style

Songyot Kitthamkesorn, Anthony Chen, Sathaporn Opasanon, Suwicha Jaita. A P-Hub Location Problem for Determining Park-and-Ride Facility Locations with the Weibit-Based Choice Model. Sustainability. 2021; 13 (14):7928.

Chicago/Turabian Style

Songyot Kitthamkesorn; Anthony Chen; Sathaporn Opasanon; Suwicha Jaita. 2021. "A P-Hub Location Problem for Determining Park-and-Ride Facility Locations with the Weibit-Based Choice Model." Sustainability 13, no. 14: 7928.

Article
Published: 14 July 2021 in Transportation
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Network capacity, defined as the largest sum of origin–destination (O–D) flows that can be accommodated by the network based on link performance function and traffic equilibrium assignment, is a critical indicator of network-wide performance assessment in transportation planning and management. The typical modeling rationale of estimating network capacity is to formulate it as a mathematical programming (MP), and there are two main approaches: single-level MP formulation and bi-level programming (BLP) formulation. Although single-level MP is readily solvable, it treats the transportation network as a physical network without considering level of service (LOS). Albeit BLP explicitly models the capacity and link LOS, solving BLP in large-scale networks is challenging due to its non-convexity. Moreover, the inconsideration of trip LOS makes the existing models difficult to differentiate network capacity under various traffic states and to capture the impact of emerging trip-oriented technologies. Therefore, this paper proposes the α-max capacity model to estimate the maximum network capacity under trip or O–D LOS requirement α. The proposed model improves the existing models on three aspects: (a) it considers trip LOS, which can flexibly estimate the network capacity ranging from zero to the physical capacity including reserve, practical and ultimate capacities; (b) trip LOS can intuitively reflect users’ maximum acceptable O–D travel time or planners’ requirement of O–D travel time; and (c) it is a convex and tractable single-level MP. For practical use, we develop a modified gradient projection solution algorithm with soft constraint technique, and provide methods to obtain discrete trip LOS and network capacity under representative traffic states. Numerical examples are presented to demonstrate the features of the proposed model as well as the solution algorithm.

ACS Style

Zhaoqi Zang; Xiangdong Xu; Anthony Chen; Chao Yang. Modeling the α-max capacity of transportation networks: a single-level mathematical programming formulation. Transportation 2021, 1 -33.

AMA Style

Zhaoqi Zang, Xiangdong Xu, Anthony Chen, Chao Yang. Modeling the α-max capacity of transportation networks: a single-level mathematical programming formulation. Transportation. 2021; ():1-33.

Chicago/Turabian Style

Zhaoqi Zang; Xiangdong Xu; Anthony Chen; Chao Yang. 2021. "Modeling the α-max capacity of transportation networks: a single-level mathematical programming formulation." Transportation , no. : 1-33.

Journal article
Published: 07 July 2021 in Transportmetrica A: Transport Science
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In recent years, a multiplicative hybrid (MH) route choice model was proposed to overcome the drawbacks of the multinomial logit (MNL) model and the multinomial weibit (MNW) model. This paper compares the conditions for the stochastic traffic assignment paradox of the three models. We analyze the condition when improving a link in an uncongested network counterintuitively increases total travel costs. Using three typical flow-independent networks (two links, n independent links, and n routes with m overlapping links), we reveal the strong relationships in the paradox conditions of the three models. We further study the paradoxical features of the three models in the Sioux-Falls network, where the model parameters are estimated from simulated route sets. The case study shows that (1) the MH model fits the data the best, (2) using the MNL or the MNW model to identify paradox links exhibits intrinsic tendencies that are consistent with the theoretical analysis, and (3) the paradox links identified by the MH model is a compromise of the other two models. This paper delves into the relationships of the three models in the stochastic assignment paradox and provides suggestions and caveats to the application of the three models.

ACS Style

Zhanhong Cheng; Jia Yao; Anthony Chen; Shi An. Analysis of a Multiplicative Hybrid Route Choice Model in Stochastic Assignment Paradox. Transportmetrica A: Transport Science 2021, 1 -28.

AMA Style

Zhanhong Cheng, Jia Yao, Anthony Chen, Shi An. Analysis of a Multiplicative Hybrid Route Choice Model in Stochastic Assignment Paradox. Transportmetrica A: Transport Science. 2021; ():1-28.

Chicago/Turabian Style

Zhanhong Cheng; Jia Yao; Anthony Chen; Shi An. 2021. "Analysis of a Multiplicative Hybrid Route Choice Model in Stochastic Assignment Paradox." Transportmetrica A: Transport Science , no. : 1-28.

Research article
Published: 21 May 2021 in Transportmetrica A: Transport Science
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The number of efficient paths between an origin-destination (O-D) pair provides the route diversity degree of possibly used paths in a transportation network, and it has many important applications in practice, e.g., network redundancy assessment, network sensor location problem, and vulnerable link/node identification problem. The existing counting method was based on the idea of the Bell loading method for the Logit route choice model to determine the number of efficient paths between any two nodes without the need of path enumeration. However, we observe that this method has a high computational time complexity and requires a lot of unnecessary computations. This high computational effort can significantly hinder its use, especially for large-scale networks. Inspired by the elegant Dial loading method for the Logit model, this paper develops a more computationally attractive method to count not only the number of efficient paths between each O-D pair, but also the number of efficient paths using each link/node between each O-D pair, and the total/average cost of these efficient paths between each O-D pair in a network. Besides circumventing path enumeration, the proposed method has a much lower time-complexity for computing the above three measures. Compared with the classical breadth-first and depth-first search algorithms, the proposed method avoids enumerating and storing path details, and traverses nodes more efficiently as it traverses each node only once to obtain the number of paths between O-D pairs. Numerical examples using ten transportation networks are then provided to demonstrate the validity and computational efficiency of the proposed method relative to the existing method. We find that the proposed method has a linear fitting relationship between the average computational time of each O-D pair and the number of nodes in a network, while the existing method has an exponential relationship.

ACS Style

Rong Zhao; Xiangdong Xu; Anthony Chen. Alternative Method of Counting the Number of Efficient Paths in a Transportation Network. Transportmetrica A: Transport Science 2021, 1 -38.

AMA Style

Rong Zhao, Xiangdong Xu, Anthony Chen. Alternative Method of Counting the Number of Efficient Paths in a Transportation Network. Transportmetrica A: Transport Science. 2021; ():1-38.

Chicago/Turabian Style

Rong Zhao; Xiangdong Xu; Anthony Chen. 2021. "Alternative Method of Counting the Number of Efficient Paths in a Transportation Network." Transportmetrica A: Transport Science , no. : 1-38.

Journal article
Published: 27 April 2021 in Transportation Research Part C: Emerging Technologies
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Existing research that forecasts market penetration of installed connected and autonomous vehicle (AV) technologies is often confused with the traffic composition in roadway networks. Users may override AV mode due to arrival time pressure, facility constraint (e.g., “I will have to make a U-turn a mile away if I do not cross the solid double-yellow lines here”), drug and alcohol influence, pleasure, envy (e.g., “why the front car can surpass that slow truck but I can’t?”), insufficient law enforcement, driving culture, media and public sentiment, etc. Therefore, the installation and the usage of AV technologies should not be instantaneously assumed ignorable in planning and policy studies. This paper is dedicated to clarifying this confusion by demonstrating that ignoring the difference between the installation and the usage of AV technologies might lead to systematic bias in evaluating policy and investment decisions. Through a system dynamics (SD) model, the complex interactions of relevant factors are captured so that the mixed traffic condition influences traffic law enforcement adjustment effort and system investment decisions, which, in turn, influence the AV technology usage share and the system performance. The case study applies to the greater Washington, D.C. area for demonstrating the feasibility and advantages of the proposed model and for studying policy implications. This paper does not attempt to forecast; instead, it proposes a modeling framework for studying the conditions under which differentiating the installation and the usage of AV technologies might be critical in forecasting the traffic composition trend and system performance for public policy and investment decisions.

ACS Style

Jiangbo Yu; Anthony Chen. Differentiating and modeling the installation and the usage of autonomous vehicle technologies: A system dynamics approach for policy impact studies. Transportation Research Part C: Emerging Technologies 2021, 127, 103089 .

AMA Style

Jiangbo Yu, Anthony Chen. Differentiating and modeling the installation and the usage of autonomous vehicle technologies: A system dynamics approach for policy impact studies. Transportation Research Part C: Emerging Technologies. 2021; 127 ():103089.

Chicago/Turabian Style

Jiangbo Yu; Anthony Chen. 2021. "Differentiating and modeling the installation and the usage of autonomous vehicle technologies: A system dynamics approach for policy impact studies." Transportation Research Part C: Emerging Technologies 127, no. : 103089.

Research article
Published: 17 April 2021 in Journal of Advanced Transportation
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This study provides a gradient projection (GP) algorithm to solve the combined modal split and traffic assignment (CMSTA) problem. The nested logit (NL) model is used to consider the mode correlation under the user equilibrium (UE) route choice condition. Specifically, a two-phase GP algorithm is developed to handle the hierarchical structure of the NL model in the CMSTA problem. The Seoul transportation network in Korea is adopted to demonstrate an applicability in a large-scale multimodal transportation network. The results show that the proposed GP solution algorithm outperforms the method of the successive averages (MSA) algorithm and the classical Evan’s algorithm.

ACS Style

Seungkyu Ryu; Anthony Chen; Songyot Kitthamkesorn. A Two-Phase Gradient Projection Algorithm for Solving the Combined Modal Split and Traffic Assignment Problem with Nested Logit Function. Journal of Advanced Transportation 2021, 2021, 1 -18.

AMA Style

Seungkyu Ryu, Anthony Chen, Songyot Kitthamkesorn. A Two-Phase Gradient Projection Algorithm for Solving the Combined Modal Split and Traffic Assignment Problem with Nested Logit Function. Journal of Advanced Transportation. 2021; 2021 ():1-18.

Chicago/Turabian Style

Seungkyu Ryu; Anthony Chen; Songyot Kitthamkesorn. 2021. "A Two-Phase Gradient Projection Algorithm for Solving the Combined Modal Split and Traffic Assignment Problem with Nested Logit Function." Journal of Advanced Transportation 2021, no. : 1-18.

Research article
Published: 14 April 2021 in Transportmetrica A: Transport Science
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The mixed itinerary-size weibit (MISW) model was recently developed for predicting passengers’ itinerary-choice behaviors in a schedule-based railway network. It considers passengers’ heterogeneous perceptions and relaxes the independently and identically distributed assumptions of random utility models. However, this model has not been verified using real-world data. Moreover, it is assumed that passengers hold a negative perception of overlapping, but this assumption may not be suitable for all situations. Thus, this study proposes a scaled MISW model which includes a scale parameter to address this issue. We collected passenger ticket-booking data from the South China High-Speed Railway network and conducted an empirical analysis in which we compared the performances of the scaled MISW model and other models (i.e., the multinomial logit, multinomial weibit, and MISW models). According to the results, the scaled MISW model outperformed the other models in describing passengers’ choice behaviors in the railway network.

ACS Style

Keyu Wen; Jiemin Xie; Anthony Chen; S. C. Wong; Shuguang Zhan; S. M. Lo; Lixia Qiang. Empirical analysis of scaled mixed itinerary-size weibit model for itinerary choice in a schedule-based railway network. Transportmetrica A: Transport Science 2021, 1 -29.

AMA Style

Keyu Wen, Jiemin Xie, Anthony Chen, S. C. Wong, Shuguang Zhan, S. M. Lo, Lixia Qiang. Empirical analysis of scaled mixed itinerary-size weibit model for itinerary choice in a schedule-based railway network. Transportmetrica A: Transport Science. 2021; ():1-29.

Chicago/Turabian Style

Keyu Wen; Jiemin Xie; Anthony Chen; S. C. Wong; Shuguang Zhan; S. M. Lo; Lixia Qiang. 2021. "Empirical analysis of scaled mixed itinerary-size weibit model for itinerary choice in a schedule-based railway network." Transportmetrica A: Transport Science , no. : 1-29.

Journal article
Published: 08 April 2021 in Transport Policy
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The COVID-19 outbreak has necessitated a critical review of urban transportation and its role in society against the backdrop of an exogenous shock. This article extends the transportation literature regarding community responses to the COVID-19 pandemic and what lessons can be obtained from the case of Hong Kong in 2020. Individual behavior and collective responsibility are considered crucial to ensure both personal and community wellbeing in a pandemic context. Trends in government policies, the number of infectious cases, and community mobility are examined using multiple data sources. The mobility changes that occurred during the state of emergency are revealed by a time-series analysis of variables that measure both the epidemiological severity level and government stringency. The results demonstrate a high response capability of the local government, inhabitants, and communities. Communities in Hong Kong are found to have reacted faster than the implementation of health interventions, whereas the government policies effectively reduced the number of infection cases. The ways in which community action are vital to empower flexible and adaptive community responses are also explored. The results indicate that voluntary community involvement constitutes a necessary condition to help inform and reshape future transport policy and response strategies to mitigate the pandemic.

ACS Style

Ho-Yin Chan; Anthony Chen; Wei Ma; Nang-Ngai Sze; Xintao Liu. COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong. Transport Policy 2021, 106, 173 -184.

AMA Style

Ho-Yin Chan, Anthony Chen, Wei Ma, Nang-Ngai Sze, Xintao Liu. COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong. Transport Policy. 2021; 106 ():173-184.

Chicago/Turabian Style

Ho-Yin Chan; Anthony Chen; Wei Ma; Nang-Ngai Sze; Xintao Liu. 2021. "COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong." Transport Policy 106, no. : 173-184.

Journal article
Published: 03 March 2021 in Transportation Research Part E: Logistics and Transportation Review
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Automated Electric Transportation (AET) is an innovative concept that aims to integrate energy, vehicle, highway, and communication infrastructures. It provides an electrified transportation system to support in-motion energy transfer through wireless charging of inductive coupling in the highway. A considerable body of previous research has sought to understand and improve the cooperative vehicle and existing infrastructure system. This research is one of the few studies that propose the frameworks that aim to simultaneously deal with both recent advances in vehicle automation and electrified highways to increase overall transportation system performance. The objective of this study is to develop an evaluation framework of the AET system. It focuses on three measures of effectiveness (MOEs): i) the system capacity, ii) energy savings, and iii) environmental emission reduction. They are examined based on simulated vehicle activity profiles. Results are provided to illustrate the performance of the system capabilities. Our results also contribute to an understanding of the key factors that can increase AET performance, and potentially impacts on future transportation mobility and sustainability.

ACS Style

Sarawut Jansuwan; Zhaocai Liu; Ziqi Song; Anthony Chen. An evaluation framework of automated electric transportation system. Transportation Research Part E: Logistics and Transportation Review 2021, 148, 102265 .

AMA Style

Sarawut Jansuwan, Zhaocai Liu, Ziqi Song, Anthony Chen. An evaluation framework of automated electric transportation system. Transportation Research Part E: Logistics and Transportation Review. 2021; 148 ():102265.

Chicago/Turabian Style

Sarawut Jansuwan; Zhaocai Liu; Ziqi Song; Anthony Chen. 2021. "An evaluation framework of automated electric transportation system." Transportation Research Part E: Logistics and Transportation Review 148, no. : 102265.

Journal article
Published: 03 March 2021 in Journal of Transport Geography
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Many studies have evaluated the influence of the built environment on public transport. Some studies assign subjective weights to environmental factors, which could oversimplify spatial heterogeneity and overlook the temporal dimension. On the other hand, the spatial-interaction network of public transport system is seldom considered. In this paper, we propose an improved framework to explore how individual factors unevenly affect public transport demand over space and time using a geographically and temporally weighted regression (GTWR) model. The proposed framework extends the local built environmental factors by including two network factors extracted from the spatial-interaction network of the public transport system. We conduct a case study in Beijing, China using 686 traffic analysis zones (TAZs). The actual usage of public transport, namely the public transport index (PTI), is estimated by passenger flow divided by the total amount of human flow in a given TAZ. The daily patterns of the spatial heterogeneity in some selected places in the study area is identified and analyzed. It is also found that the estimated coefficient of the variables of the spatial-interaction network is significantly larger than other static environmental factors, indicating that spatial-interaction network can more effectively reflect spatiotemporal heterogeneity in public transport demand. This study provides a better decision-making support for more accurately identifying which factors are most worthy of development, and when and where they can be implemented to improve public transit services.

ACS Style

Xintao Liu; Jiawei Wu; Jianwei Huang; Junwei Zhang; Bi Yu Chen; Anthony Chen. Spatial-interaction network analysis of built environmental influence on daily public transport demand. Journal of Transport Geography 2021, 92, 102991 .

AMA Style

Xintao Liu, Jiawei Wu, Jianwei Huang, Junwei Zhang, Bi Yu Chen, Anthony Chen. Spatial-interaction network analysis of built environmental influence on daily public transport demand. Journal of Transport Geography. 2021; 92 ():102991.

Chicago/Turabian Style

Xintao Liu; Jiawei Wu; Jianwei Huang; Junwei Zhang; Bi Yu Chen; Anthony Chen. 2021. "Spatial-interaction network analysis of built environmental influence on daily public transport demand." Journal of Transport Geography 92, no. : 102991.

Journal article
Published: 02 February 2021 in Journal of Transport Geography
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The Mass Transit Railway (MTR) serves as the backbone of the Hong Kong public transportation network and continues to be expanded in phases. Nevertheless, occasional but severe disruptions have raised concerns about whether the proposed MTR expansions will benefit the system resilience. To assess the value of each stage of MTR network expansion, it is key to identify the distributive effects of new metro lines on both accessibility and resilience. This paper applies the route diversity index, a relatively new accessibility indicator, to assess the effects of new lines and evaluate their spatial distribution, variation, and changes at nodal, dyadic, and network levels. The results indicate that the effects on accessibility and resilience will differ between each stage of MTR expansion. On the accessibility front, the benefits of reduced travel times and increased route diversity will be successively extended to more districts with each MTR expansion, and the spatial equity will also be improved gradually by the expansion, especially in isolated regions such as the northern and western New Territories. In contrast, on the resilience front, although the overall network vulnerability will be reduced, the vulnerability of certain parts of the network will be increased, which might necessitate additional resources to protect these stations. However, some new lines will reduce this vulnerability and provide a complementary solution to enhance network resilience. Overall, the insights from this study could assist in cost-effective resource allocation and informed decision-making for the prioritization of future railway investments and cost-effective resource allocation.

ACS Style

Ho-Yin Chan; Anthony Chen; Guoyuan Li; Xiangdong Xu; William Lam. Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system. Journal of Transport Geography 2021, 91, 102945 .

AMA Style

Ho-Yin Chan, Anthony Chen, Guoyuan Li, Xiangdong Xu, William Lam. Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system. Journal of Transport Geography. 2021; 91 ():102945.

Chicago/Turabian Style

Ho-Yin Chan; Anthony Chen; Guoyuan Li; Xiangdong Xu; William Lam. 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system." Journal of Transport Geography 91, no. : 102945.

Journal article
Published: 22 September 2020 in Sustainability
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This paper aims to fill the research gap of the relationship between the access travel time (ATT) estimation and the accessibility to high speed railway (HSR) station. A regression analysis was developed on the basis of risk-return model to analyze the access travel time estimation error (ATTEE). The data sources were 1595 valid interview survey data at Beijing South Railway Station (BSRS), China in October 2016. The factors and scenarios included travel mode, departure time, and travel date, etc. The coefficients of ATT estimation were obtained by different travel modes. The results showed that the expected access travel time (EATT) has positive linear correlation with the actual access travel time (AATT). Accessibility was calculated by the ratio of AATT to EATT. The accessibility coefficients ranged from 0.89 to 1.38 in different travel modes, departure time, and travel dates. A smaller coefficient indicates better travel time reliability and accessibility. This study not only provides a useful tool to estimate the travel time budget required for access to HSR station, but also establishes a connection with the accessibility and ATTEE. It offers an opportunity to estimate ATT to HSR stations by different modes of transport, which can help to better understand how the accessibility of the feeder transport changes at different time periods.

ACS Style

Yuyang Zhou; Minhe Zhao; Songtao Tang; William Lam; Anthony Chen; N. Sze; Yanyan Chen. Assessing the Relationship between Access Travel Time Estimation and the Accessibility to High Speed Railway Station by Different Travel Modes. Sustainability 2020, 12, 7827 .

AMA Style

Yuyang Zhou, Minhe Zhao, Songtao Tang, William Lam, Anthony Chen, N. Sze, Yanyan Chen. Assessing the Relationship between Access Travel Time Estimation and the Accessibility to High Speed Railway Station by Different Travel Modes. Sustainability. 2020; 12 (18):7827.

Chicago/Turabian Style

Yuyang Zhou; Minhe Zhao; Songtao Tang; William Lam; Anthony Chen; N. Sze; Yanyan Chen. 2020. "Assessing the Relationship between Access Travel Time Estimation and the Accessibility to High Speed Railway Station by Different Travel Modes." Sustainability 12, no. 18: 7827.

Journal article
Published: 06 September 2020 in European Journal of Operational Research
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Step size determination (also known as line search) is an important component in effective algorithmic development for solving the traffic assignment problem. In this paper, we explore a novel step size determination scheme, the Barzilai-Borwein (BB) step size, and adapt it for solving the stochastic user equilibrium (SUE) problem. The BB step size is a special step size determination scheme incorporated into the gradient method to enhance its computational efficiency. It is motivated by the Newton-type methods, but it does not need to explicitly compute the second-order derivative. We apply the BB step size in a path-based traffic assignment algorithm to solve two well-known SUE models: the multinomial logit (MNL) and cross-nested logit (CNL) SUE models. Numerical experiments are conducted on two real transportation networks to demonstrate the computational efficiency and robustness of the BB step size. The results show that the BB step size outperforms the current step size strategies, i.e., the Armijo rule and the self-regulated averaging scheme.

ACS Style

Muqing Du; Heqing Tan; Anthony Chen. A faster path-based algorithm with Barzilai-Borwein step size for solving stochastic traffic equilibrium models. European Journal of Operational Research 2020, 290, 982 -999.

AMA Style

Muqing Du, Heqing Tan, Anthony Chen. A faster path-based algorithm with Barzilai-Borwein step size for solving stochastic traffic equilibrium models. European Journal of Operational Research. 2020; 290 (3):982-999.

Chicago/Turabian Style

Muqing Du; Heqing Tan; Anthony Chen. 2020. "A faster path-based algorithm with Barzilai-Borwein step size for solving stochastic traffic equilibrium models." European Journal of Operational Research 290, no. 3: 982-999.

Articles
Published: 04 June 2020 in International Journal of Sustainable Transportation
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Cycling is gaining popularity both as a mode of travel in urban communities and as an alternative mode to private motorized vehicles due to its wide range of benefits (health, environmental, and economical). However, this change in modal share is not reflected in current transportation planning and travel demand forecasting modeling processes. The existing practices to model bicycle trips in a network are not sophisticated enough to describe the full cyclist experience in route decision-making. This is evident in the existing practices’ methodology: the all-or-nothing assignment uses single attributes such as distance, safety, or a composite measure of safety multiplied by distance. The purpose of this article is to develop a multi-class and multi-criteria bicycle traffic assignment model that not only accounts for multiple user classes by acknowledging that there are different types of cyclists with varying levels of biking experience, but also for relevant factors that may affect each user classes behavior in route choice decisions. The multi-class, multi-criteria bicycle traffic assignment model is developed in a two-stage process. The first stage examines key criteria to generate the set of non-dominated (or efficient) routes for each user class, and the second stage determines the flow allocation to efficient routes by user class. Numerical experiments are then conducted to demonstrate the two-stage approach for the multi-class, multi-criteria bicycle traffic assignment model.

ACS Style

Seungkyu Ryu; Anthony Chen; Jacqueline Su; Keechoo Choi. A multi-class, multi-criteria bicycle traffic assignment model. International Journal of Sustainable Transportation 2020, 15, 524 -540.

AMA Style

Seungkyu Ryu, Anthony Chen, Jacqueline Su, Keechoo Choi. A multi-class, multi-criteria bicycle traffic assignment model. International Journal of Sustainable Transportation. 2020; 15 (7):524-540.

Chicago/Turabian Style

Seungkyu Ryu; Anthony Chen; Jacqueline Su; Keechoo Choi. 2020. "A multi-class, multi-criteria bicycle traffic assignment model." International Journal of Sustainable Transportation 15, no. 7: 524-540.

Journal article
Published: 28 April 2020 in Transportation Research Part A: Policy and Practice
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In this paper, we consider captive mode travelers (those who have no other choices but rely on one specific travel mode for daily commuting trips) in a multi-modal network equilibrium (MMNE) problem. Specifically, the dogit model is adopted to account for captive mode travelers in the modal split problem, and the path-size logit (PSL) model is used to capture route overlapping effects in the traffic assignment problem. The dogit-PSL MMNE model is formulated as an equivalent entropy-based mathematical programming (MP) problem, which admits solution existence and uniqueness. Three numerical examples are provided. The first example examines the effects of mode captivity and route overlapping on network performances and observes that accounting for captive mode travelers would produce different equilibrium states and hence the network performance indicators. The second example applies the dogit-PSL MMNE model for evaluating the exclusive bus lane (EBL) expansion plans, in which a consistent synthetic proportional index is proposed. Numerical results show that considering mode captivity may produce substantial impacts on the odds (up to 50 percent of odds in the given scenarios) of making different EBL line expansion decisions. The third example implements the dogit-PSL MMNE model in the Seoul network to show the applicability of the dogit-PSL MMNE model in a real-size multi-modal system.

ACS Style

Guangchao Wang; Anthony Chen; Songyot Kitthamkesorn; Seungkyu Ryu; Hang Qi; Ziqi Song; Jianguo Song. A multi-modal network equilibrium model with captive mode choice and path size logit route choice. Transportation Research Part A: Policy and Practice 2020, 136, 293 -317.

AMA Style

Guangchao Wang, Anthony Chen, Songyot Kitthamkesorn, Seungkyu Ryu, Hang Qi, Ziqi Song, Jianguo Song. A multi-modal network equilibrium model with captive mode choice and path size logit route choice. Transportation Research Part A: Policy and Practice. 2020; 136 ():293-317.

Chicago/Turabian Style

Guangchao Wang; Anthony Chen; Songyot Kitthamkesorn; Seungkyu Ryu; Hang Qi; Ziqi Song; Jianguo Song. 2020. "A multi-modal network equilibrium model with captive mode choice and path size logit route choice." Transportation Research Part A: Policy and Practice 136, no. : 293-317.

Journal article
Published: 09 December 2019 in Travel Behaviour and Society
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The aggregated traffic flow forecasting problem with multi-level mixed logit based route choice model is discussed in this paper. Multi-level unobserved taste heterogeneity in route choice is further divided to two parts, the OD pair specific and observation specific. With the proposed model, the observations between the same OD pair, as well as the random utilities between alternative routes are correlated because of sharing the same OD pair specific taste heterogeneity. According to the theoretical analysis, these correlations result in the forecasting errors of aggregated link traffic flow that cannot be ignored as the increasing of number of trips. Numerical studies are carried out to illustrate the quantitative effects of incorporating multi-level taste heterogeneity on disaggregated route choice prediction and aggregated network loading, as well as the effects of model mis-specification on parameter recovery and prediction performance.

ACS Style

Dawei Li; Cheng-Jie Jin; Min Yang; Anthony Chen. Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading. Travel Behaviour and Society 2019, 19, 36 -44.

AMA Style

Dawei Li, Cheng-Jie Jin, Min Yang, Anthony Chen. Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading. Travel Behaviour and Society. 2019; 19 ():36-44.

Chicago/Turabian Style

Dawei Li; Cheng-Jie Jin; Min Yang; Anthony Chen. 2019. "Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading." Travel Behaviour and Society 19, no. : 36-44.

Journal article
Published: 25 November 2019 in Transportation Research Part E: Logistics and Transportation Review
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We review recent studies on transportation network performance under perturbations. Three representative concepts relating to network performance are covered: reliability, vulnerability, and resilience. With an overview of the definitions and the quantitative indices of these three concepts, we analyse and compare their similarities and differences in the context of transportation. These concepts differ from each other in terms of focus, measurement, and application scenario. Numerical examples are conducted to assess these concepts under different perturbation scenarios. The results indicate their rationale in reflecting network performance under perturbations, yet their outputs differ. Moreover, the relationship among the three concepts is intuitively illustrated by the analysis results.

ACS Style

Yu Gu; Xiao Fu; Zhiyuan Liu; Xiangdong Xu; Anthony Chen. Performance of transportation network under perturbations: Reliability, vulnerability, and resilience. Transportation Research Part E: Logistics and Transportation Review 2019, 133, 101809 .

AMA Style

Yu Gu, Xiao Fu, Zhiyuan Liu, Xiangdong Xu, Anthony Chen. Performance of transportation network under perturbations: Reliability, vulnerability, and resilience. Transportation Research Part E: Logistics and Transportation Review. 2019; 133 ():101809.

Chicago/Turabian Style

Yu Gu; Xiao Fu; Zhiyuan Liu; Xiangdong Xu; Anthony Chen. 2019. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience." Transportation Research Part E: Logistics and Transportation Review 133, no. : 101809.