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Dr. Yiik Diew WONG
Nanyang Technological University Singapore

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0 Road Safety
0 Consumer Behaviour
0 Active Mobility
0 pavement materials
0 Urban logistics and energy

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Active Mobility
Consumer Behaviour

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Journal article
Published: 13 August 2021 in International Journal of Environmental Research and Public Health
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Due to health concerns related to COVID-19, shoppers have learned to minimise social contact by adopting various contactless self-service technologies to fulfil their consumption needs. This study explores shoppers’ behavioural changes in relation to self-service, using the special research context of e-commerce self-collection services. By synthesising insights from the health psychology literature, this study proposes an affective-cognitive-social perspective to explain the pandemic-driven behavioural changes of self-collection users. The survey instrument is used for online data collection (n = 500), and a combined (descriptive and quantitative) method is adopted for data analysis. Our results suggest that, although with a relatively weak predictive power, the affective and cognitive appraisals of health risks lead to the reinforced usage of self-collection service. This also applies to the factors of action/coping planning and subjective norm. This study theoretically contributes to the self-service literature and creates managerial implications for retailers and logistics operators.

ACS Style

Xueqin Wang; Yiik Diew Wong; Kum Fai Yuen. Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users. International Journal of Environmental Research and Public Health 2021, 18, 8574 .

AMA Style

Xueqin Wang, Yiik Diew Wong, Kum Fai Yuen. Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users. International Journal of Environmental Research and Public Health. 2021; 18 (16):8574.

Chicago/Turabian Style

Xueqin Wang; Yiik Diew Wong; Kum Fai Yuen. 2021. "Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users." International Journal of Environmental Research and Public Health 18, no. 16: 8574.

Journal article
Published: 10 August 2021 in Sustainability
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This study proposes a geographic information system (GIS)-based cellular automata (CA) model, which is designed for planning bikeways upon existing footpath networks within an urban area. The CA model was developed based on a GIS platform as a visual interface whereby spatiotemporal characteristics and spatial processing can be combined in a highly effective way. The host value of each CA cell is conditioned upon four indicator variables, namely cycling demand level, land-use nature, social value, and traffic safety. This model gives traffic planners a quick and intuitive framework to develop cycling facilities under limited land resources. A model prototype has been developed in a common desktop GIS and applied to a mid-sized rapidly developing area in Singapore.

ACS Style

Xu Zhao; Jie Zhang; Ning Zhang; Yiik Wong; Yufang Zhou; Meng Meng. A GIS-CA Model for Planning Bikeways upon the Footpath Network. Sustainability 2021, 13, 8926 .

AMA Style

Xu Zhao, Jie Zhang, Ning Zhang, Yiik Wong, Yufang Zhou, Meng Meng. A GIS-CA Model for Planning Bikeways upon the Footpath Network. Sustainability. 2021; 13 (16):8926.

Chicago/Turabian Style

Xu Zhao; Jie Zhang; Ning Zhang; Yiik Wong; Yufang Zhou; Meng Meng. 2021. "A GIS-CA Model for Planning Bikeways upon the Footpath Network." Sustainability 13, no. 16: 8926.

Journal article
Published: 24 July 2021 in International Journal of Disaster Risk Reduction
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Panic buying has been observed across many regions during the COVID-19 pandemic which greatly disrupts supply chains and market economies. The determinants of panic buying, upon being identified, can be applied to control the escalation of panic buying behaviour that is highly detrimental to societies. This research aims to synthesise the dual-system theory and stimulus-organism-response framework to investigate into the causes of panic buying. Structural equation modelling is employed to analyse data collected from 508 residents in Singapore. The results reveal that panic buying can be explained as a response to both environmental stimuli and reflective thinking. Specifically, perceived susceptibility and perceived severity of a pandemic event as well as social influence and social norm can stimulate consumers' perceptions of scarcity and affective response, which in turn leads to the impulsive decision of panic buying; meanwhile, a rational reflection which is operationalised by perceived lack of control also influences panic buying. Furthermore, the perceived lack of control positively moderates the relationship of consumers' perceptions of scarcity and affective response on panic buying. Theoretically, this research provides a unique explanation of panic buying. The findings also provide managerial implications on dealing with panic buying in response to disasters such as a health crisis.

ACS Style

Xue Li; Yusheng Zhou; Yiik Diew Wong; Xueqin Wang; Kum Fai Yuen. What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework. International Journal of Disaster Risk Reduction 2021, 64, 102484 .

AMA Style

Xue Li, Yusheng Zhou, Yiik Diew Wong, Xueqin Wang, Kum Fai Yuen. What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework. International Journal of Disaster Risk Reduction. 2021; 64 ():102484.

Chicago/Turabian Style

Xue Li; Yusheng Zhou; Yiik Diew Wong; Xueqin Wang; Kum Fai Yuen. 2021. "What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework." International Journal of Disaster Risk Reduction 64, no. : 102484.

Journal article
Published: 08 June 2021 in Computers in Human Behavior
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As an important measure to combat COVID-19 pandemic, social distancing is observed worldwide and increasingly being regarded as a normative behaviour that guides consumers' daily activities. In response, consumers have embraced a variety of digital technologies that facilitate in-home or contactless shopping. This study examines the emerging presence of technologies in shopping activities under social distancing by: 1) conceptualising the structures of shopper-facing technologies, and 2) examining the interplay between task-technology fit and technology-trust that influences shoppers' adoption of the multi-dimensional technologies. Exploratory factor analysis and structural equation modelling are used for data analysis (n = 508). Our findings reveal three distinctive dimensions of shopper-facing technologies which are labelled as shopper-dominant (pre-)shopping technologies, shopper-dominant post-shopping technologies, and technology-dominant automations. Shoppers' adoption intention depends on their evaluations of the technology fit in performing shopping tasks characterised by contact avoidance/minimisation. The impacts of task-technology fit are further moderated by shoppers' trust in those technologies. More importantly, task-technology fit and technology trust are found to demonstrate differentiated explanatory powers towards shoppers’ adoption of the different categories of technologies.

ACS Style

Xueqin Wang; Yiik Diew Wong; Tianyi Chen; Kum Fai Yuen. Adoption of shopper-facing technologies under social distancing: A conceptualisation and an interplay between task-technology fit and technology trust. Computers in Human Behavior 2021, 124, 106900 .

AMA Style

Xueqin Wang, Yiik Diew Wong, Tianyi Chen, Kum Fai Yuen. Adoption of shopper-facing technologies under social distancing: A conceptualisation and an interplay between task-technology fit and technology trust. Computers in Human Behavior. 2021; 124 ():106900.

Chicago/Turabian Style

Xueqin Wang; Yiik Diew Wong; Tianyi Chen; Kum Fai Yuen. 2021. "Adoption of shopper-facing technologies under social distancing: A conceptualisation and an interplay between task-technology fit and technology trust." Computers in Human Behavior 124, no. : 106900.

Journal article
Published: 03 April 2021 in International Journal of Electronic Commerce
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E-commerce logistics services are increasingly offering innovative solutions that invite consumers’ co-creation. Although value co-creation empowers consumers, it also connotes a sense of exploitation. This study explores the fairness perspective of co-creating satisfactory logistics services, using self-collection service as an example. A theoretical model based on synthesized insights of Fairness Heuristics and Selective Information Processing was conceptualized and validated. Survey data were collected from 680 actual self-collection users. The findings show a three-pronged service evaluation process with consumers’ fairness perception as a central anchorage. Furthermore, the satisfaction formation process is moderated by consumers’ pre-formed beliefs leading to biased evaluations of co-creation experiences. This study contributes to literature with a contingent framework of consumers’ participation in logistics services, suggesting a heuristic-based process of value co-creation among the consumers. We also create practical insights on consumers’ preformed beliefs toward the logistics services and service providers that lead to a biased satisfaction formation process.

ACS Style

Xueqin Wang; Kum Fai Yuen; Chee-Chong Teo; Yiik Diew Wong. Online Consumers’ Satisfaction in Self-Collection: Value Co-Creation from the Service Fairness Perspective. International Journal of Electronic Commerce 2021, 25, 230 -260.

AMA Style

Xueqin Wang, Kum Fai Yuen, Chee-Chong Teo, Yiik Diew Wong. Online Consumers’ Satisfaction in Self-Collection: Value Co-Creation from the Service Fairness Perspective. International Journal of Electronic Commerce. 2021; 25 (2):230-260.

Chicago/Turabian Style

Xueqin Wang; Kum Fai Yuen; Chee-Chong Teo; Yiik Diew Wong. 2021. "Online Consumers’ Satisfaction in Self-Collection: Value Co-Creation from the Service Fairness Perspective." International Journal of Electronic Commerce 25, no. 2: 230-260.

Journal article
Published: 21 March 2021 in International Journal of Environmental Research and Public Health
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The COVID-19 pandemic has seen an unmatched level of panic buying globally, a type of herd behavior whereby consumers buy an uncommonly huge amount of products because of a perception of scarcity. Drawing on the health belief model, perceived scarcity, and anticipated regret theories, this paper formulated a theoretical model that linked the determinants of panic buying and analyzed their interrelationships. Subsequently, data were collated from 508 consumers through an online survey questionnaire in Singapore that was conducted during the early stage of the pandemic, before the onset of the circuit breaker in April 2020. Next, an analysis of the results was done through structural equation modeling. It showed that the effect of the health belief model dimensions (i.e., perceived susceptibility, perceived severity, outcome expectation, cues to action, and self-efficacy) on panic buying is partially mediated by the consumers’ perceived scarcity of products. Furthermore, the effect of perceived scarcity on panic buying is partially mediated by consumers’ anticipation of regret. This paper expands on the current theoretical understanding of panic buying behavior, giving insights into the possible measures and solutions that policymakers and relevant stakeholders can uptake to manage panic buying in future a pandemic or health crisis.

ACS Style

Grace Chua; Kum Yuen; Xueqin Wang; Yiik Wong. The Determinants of Panic Buying during COVID-19. International Journal of Environmental Research and Public Health 2021, 18, 3247 .

AMA Style

Grace Chua, Kum Yuen, Xueqin Wang, Yiik Wong. The Determinants of Panic Buying during COVID-19. International Journal of Environmental Research and Public Health. 2021; 18 (6):3247.

Chicago/Turabian Style

Grace Chua; Kum Yuen; Xueqin Wang; Yiik Wong. 2021. "The Determinants of Panic Buying during COVID-19." International Journal of Environmental Research and Public Health 18, no. 6: 3247.

Journal article
Published: 07 March 2021 in Accident Analysis & Prevention
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The era of ‘Big Data’ provides opportunities for researchers to have deep insights into traffic safety. By taking advantages of ‘Big Data’, this study proposes a data-driven method to develop a Copula-Bayesian Network (Copula-BN) using a large-scale naturalistic driving dataset with multiple features. The Copula-BN is able to explain the causality of a risky driving maneuver. As compared with conventional BNs, the Copula-BN developed in this study has the following advantages: the Copula-BN 1. Has a more rational and explainable structure; 2. Is less likely to be over-fitting and can attain more satisfactory prediction performance; and 3. Can handle not only discrete but also continuous features. In terms of technical innovations, Shapley Additive Explanation (SHAP) is used for feature selection, while Gaussian Copula function is employed to build the dependency structure of the Copula-BN. As for applications, the Copula-BNs are used to investigate the causality of risky lane-changing (LC) and car-following (CF) maneuvers, upon which the comparisons are made between the two essential but risky driving maneuvers. In this study, the Copula-BNs are developed based on the Second Highway Research Program (SHRP2) Naturalistic Driving Study (NDS) database. Upon network evaluation, the Copula-BNs for both risky LC and CF maneuvers demonstrate satisfactory structure performance and promising prediction performance. Feature inferences are conducted based on the Copula-BNs to respectively illustrate the causation of the two risky maneuvers. Several interesting findings related to features’ contribution are discussed in this paper. To a certain extent, the Copula-BN developed using the data-driven method makes a trade-off between prediction and causality within the ‘Big Data’. The comparison between risky LC and CF maneuvers also provides a valuable reference for crash risk evaluation, road safety policy-making, etc. In the future, the achievements of this study could be applied in Advanced Driver-Assistance System (ADAS) and accident diagnosis system to enhance road traffic safety.

ACS Style

Tianyi Chen; Yiik Diew Wong; Xiupeng Shi; Yaoyao Yang. A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers. Accident Analysis & Prevention 2021, 154, 106061 .

AMA Style

Tianyi Chen, Yiik Diew Wong, Xiupeng Shi, Yaoyao Yang. A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers. Accident Analysis & Prevention. 2021; 154 ():106061.

Chicago/Turabian Style

Tianyi Chen; Yiik Diew Wong; Xiupeng Shi; Yaoyao Yang. 2021. "A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers." Accident Analysis & Prevention 154, no. : 106061.

Journal article
Published: 03 February 2021 in Physica A: Statistical Mechanics and its Applications
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This paper presents a fuzzy-based methodology for quantification of congestion level for traffic control on expressways using traffic flow speed and density. Inductive loop detector data on the Interstate 880 obtained through the Freeway Performance Measurement System were used to estimate congestion levels following the fuzzy logic approach. In comparison with the Highway Capacity Manual, the results generally show a good correspondence. However, unlike the Highway Capacity Manual that defines step-wise measurement of levels of service based entirely on density, the proposed fuzzy inference system allows a flexible combination between speed and density to provide a more detailed indication of congestion intensity to describe the gradual transition of traffic state. For comparison, the congestion indices evaluated with both density and speed were compared to those evaluated with either speed or density using the same data set. Results from this comparative study reinforce the statements from previous studies that expressway speed is conservative under free-flow and light traffic conditions, but decreases significantly just before the flow rate approaches the road capacity. The results also show significant differences between the congestion indices evaluated using a single quantity, while the congestion indices using both density and speed tend to neutralize in between and scale up in a stable manner with the levels of service. Considering the abstract nature of congestion terminology, it is necessary to quantity traffic congestion on the expressways using both variables to minimize the potential bias in representing the operation of expressway traffic properly, which is particularly important under heavy congested conditions.

ACS Style

Trinh Dinh Toan; Y.D. Wong. Fuzzy logic-based methodology for quantification of traffic congestion. Physica A: Statistical Mechanics and its Applications 2021, 570, 125784 .

AMA Style

Trinh Dinh Toan, Y.D. Wong. Fuzzy logic-based methodology for quantification of traffic congestion. Physica A: Statistical Mechanics and its Applications. 2021; 570 ():125784.

Chicago/Turabian Style

Trinh Dinh Toan; Y.D. Wong. 2021. "Fuzzy logic-based methodology for quantification of traffic congestion." Physica A: Statistical Mechanics and its Applications 570, no. : 125784.

Review
Published: 06 January 2021 in International Journal of Environmental Research and Public Health
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Loneliness is a pervasive problem recognised as a serious social issue, and the prevailing COVID-19 pandemic has exacerbated loneliness to greater prominence and concern. We expect a rise of a massive group of ‘lonely’ consumers who are deeply entrenched in the social isolation caused by COVID-19. There is an urgent need to revisit the phenomenon of lonely consumers to better prepare academic researchers, public policy makers and commercial managers in the post-COVID-19 era. Thus, this study conducts a synthesised review on past studies of lonely consumers. Based on an inductive analysis of 56 articles, 74 key themes are identified. These key themes are further categorised into five major clusters by way of a co-occurrence network analysis. Respectively, the five clusters address the psychological implications related to the dynamics between nonhuman attachment and consumers’ loneliness, the commercial implications related to the paradoxical motivations of affiliation and self-affirmation in product selection and the dual information processing mechanism in response to advertisement appeals, and the social implications related to consumers’ well-being in an ageing society and the anthropomorphic companionship in a virtual world. A list of research questions is proposed that concludes the review study.

ACS Style

Xueqin Wang; Yiik Diew Wong; Kum Fai Yuen. Rise of ‘Lonely’ Consumers in the Post-COVID-19 Era: A Synthesised Review on Psychological, Commercial and Social Implications. International Journal of Environmental Research and Public Health 2021, 18, 404 .

AMA Style

Xueqin Wang, Yiik Diew Wong, Kum Fai Yuen. Rise of ‘Lonely’ Consumers in the Post-COVID-19 Era: A Synthesised Review on Psychological, Commercial and Social Implications. International Journal of Environmental Research and Public Health. 2021; 18 (2):404.

Chicago/Turabian Style

Xueqin Wang; Yiik Diew Wong; Kum Fai Yuen. 2021. "Rise of ‘Lonely’ Consumers in the Post-COVID-19 Era: A Synthesised Review on Psychological, Commercial and Social Implications." International Journal of Environmental Research and Public Health 18, no. 2: 404.

Research article
Published: 02 January 2021 in Mathematical and Computer Modelling of Dynamical Systems
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Mathematical models have been used widely to investigate the vehicle-passenger-infrastructure dynamical interaction; however, the responses of various heavy-duty city bus models to estimate ride comfort induced by road roughness are still unknown. In this study, the comparison of dynamical response of buses used in city transport is investigated based on multi-degrees-of-freedom (DOF) bus models developed in MATLAB/Simulink and correlated against passenger ride comfort criteria. The results showed that 9-DOF full bus model is the best option to estimate passenger ride comfort within an error of 2%, as compared to 5-DOF half and 3-DOF quarter bus models with 7% and 20% errors using one wheel-track, and 24% and 36% errors using two wheel-tracks, respectively. The error was calculated as the difference between simulated results from three bus models and the measured data. These mathematical bus models can be customized for estimating passenger ride comfort and surface roughness of dedicated bus/bus-rapid-transit lanes.

ACS Style

Teron Nguyen; Patrick Swolana; Bernhard Lechner; Wong Y.D.. An experimental comparison of mathematical heavy-duty city bus models to evaluate passenger ride comfort induced by road roughness. Mathematical and Computer Modelling of Dynamical Systems 2021, 27, 203 -221.

AMA Style

Teron Nguyen, Patrick Swolana, Bernhard Lechner, Wong Y.D.. An experimental comparison of mathematical heavy-duty city bus models to evaluate passenger ride comfort induced by road roughness. Mathematical and Computer Modelling of Dynamical Systems. 2021; 27 (1):203-221.

Chicago/Turabian Style

Teron Nguyen; Patrick Swolana; Bernhard Lechner; Wong Y.D.. 2021. "An experimental comparison of mathematical heavy-duty city bus models to evaluate passenger ride comfort induced by road roughness." Mathematical and Computer Modelling of Dynamical Systems 27, no. 1: 203-221.

Research article
Published: 15 December 2020 in International Journal of Urban Sustainable Development
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Pedestrian link-ways are important street facility for first-/last-mile mobility. This study compared pedestrians’ walking experiences on sheltered/unsheltered link-ways by collecting their perceived walking time/distance. It is found that, first, pedestrians (51 along sheltered and 49 along unsheltered link-ways) generally walk at a faster pace along unsheltered link-ways as compared to sheltered link-way. Second, participants are found to more likely over-perceive walking times and distances (with odds of three to one) along unsheltered link-way than sheltered link-way, and with more extreme deviations on unsheltered link-ways. Third, sheltered link-ways accrued better Level of Service (LOS) ratings on factors such as weather protection, distance, accessibility/user-friendliness, comfort, safety and level of crowdedness. The study demonstrates value-add application of cognitive bias approach for examining the walking experience, and provides human-centric indicators to justify the provision of shelters to the link-way for the benefits of pedestrian users.

ACS Style

S. Sun; Q. Zhou; S. Lal; H. Xu; K. Goh; Y. D. Wong. Quantifying performance of sheltered link-way facility in Singapore using human-centric indicators. International Journal of Urban Sustainable Development 2020, 1 -12.

AMA Style

S. Sun, Q. Zhou, S. Lal, H. Xu, K. Goh, Y. D. Wong. Quantifying performance of sheltered link-way facility in Singapore using human-centric indicators. International Journal of Urban Sustainable Development. 2020; ():1-12.

Chicago/Turabian Style

S. Sun; Q. Zhou; S. Lal; H. Xu; K. Goh; Y. D. Wong. 2020. "Quantifying performance of sheltered link-way facility in Singapore using human-centric indicators." International Journal of Urban Sustainable Development , no. : 1-12.

Journal article
Published: 04 December 2020 in Physica A: Statistical Mechanics and its Applications
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Lane-changing (LC) is an essential driving maneuver on roadways, and risky LC maneuvers account for a large number of crash accidents. This study investigates the LC risk profile during an LC process. A risk indicator based on driving safety field theory is employed to measure the instantaneous LC risk at each timestamp during an LC process and generate the LC risk profile. Then, Dynamic Time Warping (DTW) k-means clustering, as a time-series clustering method, is applied to partition the LC risk profiles into several categories. The Next Generation Simulation (NGSIM) US-101 dataset, which contains detailed records of vehicles’ trajectories, is used for case study. In the case study, the LC risk profiles are categorized into “uphill” shape, “bell” shape, and “downhill” shape. The LC risk profiles with “uphill” shape account for the majority of the LC risk profiles. Besides, we find that the LC process with “uphill” shaped risk profile generally has higher LC risk, and the crash risk between LC car and its preceding cars are more relevant to the LC risk. Those findings are likely due to the LC maneuver with the purpose to overtake the preceding car in the original lane. The risk indicator based on driving safety field theory can measure LC risk more comprehensively, compared to the conventional surrogate measures. The DTW k-means clustering method offers a promising approach to investigate the causation of risky LC maneuver based on the risk profile during an LC process.

ACS Style

Tianyi Chen; Xiupeng Shi; Yiik Diew Wong. A lane-changing risk profile analysis method based on time-series clustering. Physica A: Statistical Mechanics and its Applications 2020, 565, 125567 .

AMA Style

Tianyi Chen, Xiupeng Shi, Yiik Diew Wong. A lane-changing risk profile analysis method based on time-series clustering. Physica A: Statistical Mechanics and its Applications. 2020; 565 ():125567.

Chicago/Turabian Style

Tianyi Chen; Xiupeng Shi; Yiik Diew Wong. 2020. "A lane-changing risk profile analysis method based on time-series clustering." Physica A: Statistical Mechanics and its Applications 565, no. : 125567.

Journal article
Published: 10 November 2020 in Travel Behaviour and Society
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Successful implementation of a first-/last-mile automated bus (AB) service depends on consumers’ actual adoption of the service. Consumers, when decided to take an AB ride for the first time, shall rely on their expectation of the service and capabilities of the technology. After the first ride of the vehicle, their value assessments of the service are further refined based on their actual ride experiences. Whether the operators can retain the users highly depend on such assessment. Thus, it is immensely important, when investigating users’ adoption behaviour of a first-/last-mile AB service, we take into account the longitudinal changes of the users’ valuation of the service. This is the research gap that this study is contributing. During a first-/last-mile AB service trial in Stockholm, Sweden, a panel data involving 185 respondents was available for analysis. The first survey was shortly after the launch of the trialled AB service and the second one was four months later. Structural Equation Modelling was used to investigate the changes of users’ judging criteria across different socio-demographic groups, due to initial usage and the subsequent usage. The results show that the concerns affecting the users to continue with the service change with an increase in the ride experience. Willingness-to-use of the experienced users was initially affected by their level of appreciation with the safety and travel time with the service. However, ride comfort became a dominant factor with increasing ride experiences.

ACS Style

Pei Nen Esther Chee; Yusak O. Susilo; Yiik Diew Wong. Longitudinal interactions between experienced users’ service valuations and willingness-to-use a first-/last-mile automated bus service. Travel Behaviour and Society 2020, 22, 252 -261.

AMA Style

Pei Nen Esther Chee, Yusak O. Susilo, Yiik Diew Wong. Longitudinal interactions between experienced users’ service valuations and willingness-to-use a first-/last-mile automated bus service. Travel Behaviour and Society. 2020; 22 ():252-261.

Chicago/Turabian Style

Pei Nen Esther Chee; Yusak O. Susilo; Yiik Diew Wong. 2020. "Longitudinal interactions between experienced users’ service valuations and willingness-to-use a first-/last-mile automated bus service." Travel Behaviour and Society 22, no. : 252-261.

Journal article
Published: 01 November 2020 in Transportation Research Interdisciplinary Perspectives
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The COVID-19 pandemic triggers a pause in the urban transport system by creating disruptive impacts on both passenger and delivery services. A key prompt stemming from the outbreak of COVID-19 is for transportation engineers to re-think existing issues regarding urban transportation system and to develop innovative solutions to better cater to demands. An urban-based integrated automated public transportation system (APTS) that serves both people and freight is examined which leverages on emerging technologies such as information communication technology and automated vehicle. An illustrative example of an APTS, namely Dynamic Autonomous Road Transit (DART), is introduced, and the technical challenges are summarised. An APTS typology and components to model such an integrated mobility system for the urban area are described. Issues concerning business model and governance intervention to promote such an urban integration are explicitly discussed.

ACS Style

Shanshan Sun; Yiik Diew Wong; Xiaodong Liu; Andreas Rau. Exploration of an integrated automated public transportation system. Transportation Research Interdisciplinary Perspectives 2020, 8, 100275 .

AMA Style

Shanshan Sun, Yiik Diew Wong, Xiaodong Liu, Andreas Rau. Exploration of an integrated automated public transportation system. Transportation Research Interdisciplinary Perspectives. 2020; 8 ():100275.

Chicago/Turabian Style

Shanshan Sun; Yiik Diew Wong; Xiaodong Liu; Andreas Rau. 2020. "Exploration of an integrated automated public transportation system." Transportation Research Interdisciplinary Perspectives 8, no. : 100275.

Editorial
Published: 12 September 2020 in Research in Transportation Economics
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ACS Style

Leong Wai Yan; Wong Yiik Diew; David A Hensher; Ruth Steel. Editorial: Thredbo 16 conference. Research in Transportation Economics 2020, 83, 100965 .

AMA Style

Leong Wai Yan, Wong Yiik Diew, David A Hensher, Ruth Steel. Editorial: Thredbo 16 conference. Research in Transportation Economics. 2020; 83 ():100965.

Chicago/Turabian Style

Leong Wai Yan; Wong Yiik Diew; David A Hensher; Ruth Steel. 2020. "Editorial: Thredbo 16 conference." Research in Transportation Economics 83, no. : 100965.

Original article
Published: 11 September 2020 in Neural Computing and Applications
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ACS Style

Teron Nguyen; Duy Q. Nguyen-Phuoc; Y. D. Wong. Developing artificial neural networks to estimate real-time onboard bus ride comfort. Neural Computing and Applications 2020, 33, 5287 -5299.

AMA Style

Teron Nguyen, Duy Q. Nguyen-Phuoc, Y. D. Wong. Developing artificial neural networks to estimate real-time onboard bus ride comfort. Neural Computing and Applications. 2020; 33 (10):5287-5299.

Chicago/Turabian Style

Teron Nguyen; Duy Q. Nguyen-Phuoc; Y. D. Wong. 2020. "Developing artificial neural networks to estimate real-time onboard bus ride comfort." Neural Computing and Applications 33, no. 10: 5287-5299.

Journal article
Published: 29 August 2020 in International Journal of Production Economics
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The new generation of bicycle-sharing is an O2O (online-to-offline) platform service that enables the users to access the bicycle with a smartphone App. This paper proposes a dynamic repositioning model with predicted demand, where the repositioning time interval is fixed. A data-driven Neural Network (NN) approach is introduced to forecast the bicycle-sharing demand. The repositioning objective function at each time interval is defined to simultaneously minimize the operator cost and penalty cost. In addition to the normal constraints in static repositioning problem, flow conservation, inventory-balance and travel time constraints are taken into account. Due to the non-deterministic polynomial-time hard (NP-hard) nature of this model, a hybrid metaheuristic approach of Adaptive Genetic Algorithm (AGA) and Granular Tabu Search (GTS) algorithm is applied to calculate the solution. Based on predicted demand, the initial repositioning plan is made by AGA statically at the beginning of study horizon, which ensures the global optimization of the first solution. As time goes on, repositioning plan is checked and updated according to the real-usage patterns using GTS algorithm, which has the advantage of high-performance local-search within a short computing time. Numerical analysis is conducted using the real cases. The simulation results reveal that the proposed methodology can effectively model the dynamic repositioning problem in response to real-time bicycle-sharing usage. The proposed methodology can be a value-added tool in enhancing the feasibility and sustainability of bicycle-sharing program.

ACS Style

Jie Zhang; Meng Meng; Yiik Diew Wong; Petros Ieromonachou; David Z.W. Wang. A data-driven dynamic repositioning model in bicycle-sharing systems. International Journal of Production Economics 2020, 231, 107909 .

AMA Style

Jie Zhang, Meng Meng, Yiik Diew Wong, Petros Ieromonachou, David Z.W. Wang. A data-driven dynamic repositioning model in bicycle-sharing systems. International Journal of Production Economics. 2020; 231 ():107909.

Chicago/Turabian Style

Jie Zhang; Meng Meng; Yiik Diew Wong; Petros Ieromonachou; David Z.W. Wang. 2020. "A data-driven dynamic repositioning model in bicycle-sharing systems." International Journal of Production Economics 231, no. : 107909.

Journal article
Published: 23 August 2020 in Land Use Policy
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Despite the vast literature on planning discourse at the regional level or heritage studies at the site level, lesser known are the trends and rationales of the redevelopment-versus-conservation tension generalised from development sites. In Macao, following its World Heritage inscription, mandatory public consultation and the increased authority of the Cultural Affairs Bureau (Instituto Cultural, IC) over development controls and urban design requirements have introduced a new dynamic to the constant conflict between redevelopment and conservation. This study focused on public consultation exercises for site-level urban condition plan (UCP) applications from 2014 to 2018. A mixed-methods approach was adopted to examine two interrelated aspects of public feedback: intensity (examined from a spatial perspective) and diversity (examined from a discursive perspective). The quantitative results of global and geographically weighted logistic regression analyses (n = 562) showed variegated spatial patterns of the likelihood of high public feedback, and the presence of IC recommendations had a positive effect on these patterns. Moreover, despite a downward trend of intensity over the years, the qualitative results of the content analysis (n = 55) showed that argumentative diversity remained strong with debates regarding various redevelopment/conservation methods and appeals on not only instrumental-technical but also moral-ethical and emotive-aesthetic grounds. Drawing attention to the procedural inclusiveness of UCP consultation and the de facto softening of conservation area boundaries, our empirical study engages with urban policy discourse by accentuating the theoretical and practical affinity of collaborative planning for historic urban landscapes.

ACS Style

Yongcheng Wang; Keita Yamaguchi; Yiik Diew Wong. The multivalent nexus of redevelopment and heritage conservation: A mixed-methods study of the site-level public consultation of urban development in Macao. Land Use Policy 2020, 99, 105006 .

AMA Style

Yongcheng Wang, Keita Yamaguchi, Yiik Diew Wong. The multivalent nexus of redevelopment and heritage conservation: A mixed-methods study of the site-level public consultation of urban development in Macao. Land Use Policy. 2020; 99 ():105006.

Chicago/Turabian Style

Yongcheng Wang; Keita Yamaguchi; Yiik Diew Wong. 2020. "The multivalent nexus of redevelopment and heritage conservation: A mixed-methods study of the site-level public consultation of urban development in Macao." Land Use Policy 99, no. : 105006.

Articles
Published: 17 August 2020 in Transportmetrica A: Transport Science
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A substantial amount of transportation research has been gathered under China’s Belt and Road Initiative (BRI), suggesting multi-dimensional impacts of the BRI on the transportation industry. This study identifies research trends in the BRI to elicit key agendas for future research by comprehensively reviewing 58 journal articles and applying combined methods of inductive content analysis and co-occurrence network analysis. Findings indicate that the BRI positively impacts the transportation industry by (1) building logistics capacity (2) strengthening connectivity of transportation network (3) diversifying shipping routes of oil transportation (thus enhancing energy security) (4) promoting intermodal transportation. A unified framework and four observations are presented, illustrating strategic risks and operational challenges associated with the BRI. Principal research agendas and questions are proposed, directing future research towards reconfiguration of transportation networks and healthy competition in transportation service standards.

ACS Style

Xueqin Wang; Yiik Diew Wong; Kevin X. Li; Kum Fai Yuen. Transport research under Belt and Road Initiative: current trends and future research agenda. Transportmetrica A: Transport Science 2020, 17, 357 -379.

AMA Style

Xueqin Wang, Yiik Diew Wong, Kevin X. Li, Kum Fai Yuen. Transport research under Belt and Road Initiative: current trends and future research agenda. Transportmetrica A: Transport Science. 2020; 17 (4):357-379.

Chicago/Turabian Style

Xueqin Wang; Yiik Diew Wong; Kevin X. Li; Kum Fai Yuen. 2020. "Transport research under Belt and Road Initiative: current trends and future research agenda." Transportmetrica A: Transport Science 17, no. 4: 357-379.

Journal article
Published: 05 August 2020 in Transportation Research Part A: Policy and Practice
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The successful adoption of a product or service by its target market or users relies on delivering a product or service in line with their needs and expectations. Failure to do so will likely result in a low rate of uptake or use of the product or service. This study sought to identify the criteria by which potential users of a first-/last-mile automated bus (AB) service would evaluate the service, and accordingly decide whether to use or disregard the service. This research investigated various explanatory factors affecting users’ perceptions of the service’s quality and utility, and which enhanced or diminished their intentions to use it. The data analysed in this study was collected from a survey conducted in February and March of 2018 in Stockholm, Sweden, during a trial operation of a first-/last-mile AB service. Three-factor theory analysis, commonly used to analyse services, was applied to this data in order to identify users’ core perceptions about the service, which in turn influence their intention-to-use the service. Structural equation modelling was used to identify the significant factors that influence the identified perceptions influencing the intention-to-use the service. This study found that different subgroups of users prioritised different attributes. Prospective users (with no prior experience with the service) were most concerned with the frequency of service. Their intention-to-use the service greatly increased when the service frequency is comparable to the service frequency of a regular public bus service. Experienced users’ intentions to continue using the service greatly increased when the buses were made more comfortable. This study additionally found that users’ perceptions of the service’s quality were also influenced by numerous factors including the passenger’s age, income level, preferred mode of travel for daily trips, preferred mode of travel for first-/last-mile trips, being tech-savvy or not, and their level of familiarity with automated driving technology.

ACS Style

Pei Nen Esther Chee; Yusak O. Susilo; Yiik Diew Wong. Determinants of intention-to-use first-/last-mile automated bus service. Transportation Research Part A: Policy and Practice 2020, 139, 350 -375.

AMA Style

Pei Nen Esther Chee, Yusak O. Susilo, Yiik Diew Wong. Determinants of intention-to-use first-/last-mile automated bus service. Transportation Research Part A: Policy and Practice. 2020; 139 ():350-375.

Chicago/Turabian Style

Pei Nen Esther Chee; Yusak O. Susilo; Yiik Diew Wong. 2020. "Determinants of intention-to-use first-/last-mile automated bus service." Transportation Research Part A: Policy and Practice 139, no. : 350-375.