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学者姓名：翁剑成
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Abstract ：
The introduction of ride-sharing services has significantly diversified commuting options for urban residents. In multi-mode cities, residents select travel modes based on their perception of the costs for various available options, while these perceptions are updated daily. As a result, residents' travel mode choices and mode- split traffic flows vary day by day. To capture the nonlinear evolution phenomenon of their mode choice behaviors and mode-split traffic flows, we focus on a linear monocentric city with the introduction of ride- sharing services and develop a deterministic discrete-time day-to-day dynamic evolution model. Our model incorporates residents' limited perceptions to better reflect real-world scenarios. Moreover, considering one ride-sharing driver is allowed to pick up multiple passengers, specific constraints on the number of ride-sharing drivers and passengers (i.e., side constraints) are added to the model formulation. Thus, the proposed model is a discrete-time day-to-day dynamic asymmetric stochastic user equilibrium model with side constraints, which have rarely been studied. The uniqueness of optimal Lagrange multipliers corresponding to side constraints in the day-to-day dynamic evolution model is demonstrated, which makes us successfully extend related literature on static ride-sharing equilibrium to the study of dynamic stochastic ride-sharing user equilibrium problems. Furthermore, we consider the stability issue of the equilibrium and provide sufficient and necessary conditions for its asymptotic stability. Finally, numerical examples are conducted to validate the properties and effectiveness of our dynamic model.
Keyword ：
Travel mode choices Travel mode choices Day-to-day dynamics Day-to-day dynamics Asymptotic stability Asymptotic stability Ride-sharing Ride-sharing Stochastic user equilibrium Stochastic user equilibrium
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| GB/T 7714 | Li, Tongfei , Ge, Yao , Zhao, Fangxia et al. Day-to-day dynamic traffic evolution in the urban traffic system with ride-sharing [J]. | PHYSICA D-NONLINEAR PHENOMENA , 2025 , 471 . |
| MLA | Li, Tongfei et al. "Day-to-day dynamic traffic evolution in the urban traffic system with ride-sharing" . | PHYSICA D-NONLINEAR PHENOMENA 471 (2025) . |
| APA | Li, Tongfei , Ge, Yao , Zhao, Fangxia , Weng, Jiancheng , Zhou, Wenhan , Yang, Songpo . Day-to-day dynamic traffic evolution in the urban traffic system with ride-sharing . | PHYSICA D-NONLINEAR PHENOMENA , 2025 , 471 . |
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Abstract ：
Airport connectivity travel is the last mile of the air travel process. The characteristics of different connectivity travel modes are key factors influencing air passengers' choices. However, the arriving passengers' subjective expectations and satisfaction levels differ significantly across these modes. Therefore, considering differences in satisfaction of passengers with connectivity services, the study conducts a questionnaire survey at Beijing Capital International Airport and Beijing Daxing International Airport, and 542 valid questionnaires are obtained. Arriving passengers' satisfaction with different modes was measured based on the structural equation model. The latent profile analysis was utilized to classify into different categories considering their satisfaction levels. A new model, the scale-adjusted latent class model based on Random Regret Minimization (RRM), is established, using passengers' satisfaction categories as a scale parameter to analyze the impact of satisfaction differences on connectivity travel mode choices. The results show that there are two primary satisfaction categories, one group has high satisfaction with metro (HSM) and the other has high satisfaction with car-hailing (HSC). Passengers' preference heterogeneity is revealed and can be divided into three classes, avoiding-transfer (ATC), cost- sensitive (CSC), and time-sensitive (TSC). Waiting time, comfort degree, travel out-of-pocket expenses (OPE), and transfer convenience significantly influence mode choice behavior of TSC. The CSC would be more concerned about the OPE. ATC emphasizes the transfer convenience. Strategies to enhance satisfaction with connectivity services are suggested, aiming to optimize the last mile of intercity travel and promote efficient urban transportation operations.
Keyword ：
Random Regret Minimization Random Regret Minimization The last mile travel The last mile travel Satisfaction with connectivity modes Satisfaction with connectivity modes Travel mode choice Travel mode choice Car-sharing Car-sharing Scale-adjusted latent class model Scale-adjusted latent class model
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| GB/T 7714 | Yu, Jiangbo , Weng, Jiancheng , Wang, Tian et al. How do differences in airline passengers' satisfaction with connectivity modes affect last-mile travel choices? A SALC modeling based on RRM [J]. | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE , 2025 , 192 . |
| MLA | Yu, Jiangbo et al. "How do differences in airline passengers' satisfaction with connectivity modes affect last-mile travel choices? A SALC modeling based on RRM" . | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 192 (2025) . |
| APA | Yu, Jiangbo , Weng, Jiancheng , Wang, Tian , Lin, Pengfei , Sun, Yuxing , Chai, Jiaolong . How do differences in airline passengers' satisfaction with connectivity modes affect last-mile travel choices? A SALC modeling based on RRM . | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE , 2025 , 192 . |
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Abstract ：
As an essential mode of last-mile connectivity for public transit, dockless bike-sharing (DBS) has garnered increasing attention in the analysis of feeder trips. However, most previous studies have primarily focused on land use attributes around stations, neglecting the influence of factors at other stages such as trip origins and route environments. To address these gaps, this study employs XGBoost and SHAP to analyze the relationship between built environment attributes and DBS-metro integrated travel at origin-route-destination level based on multi-source geographic data such as DBS trajectory data, streetscape images, and POIs. The results indicate that route-built environment factors have a stronger influence on DBS-metro integration than traditional 5D attributes. Furthermore, the influence of built environment factors is nonlinear. When the green view index is between 0.15 and 0.25, residents are attracted to using DBS to reach the metro. Moreover, this study identifies interaction effects between cycling distance and other factors. The research findings provide scientific support for operators to allocate vehicles and transportation planners to undertake community regeneration and develop sustainable transportation systems.
Keyword ：
Integrated travel Integrated travel Dockless bike-sharing Dockless bike-sharing Machine learning Machine learning Multi built environment Multi built environment Sustainable transportation system planning Sustainable transportation system planning
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| GB/T 7714 | Shen, Huapeng , Weng, Jiancheng , Lin, Pengfei . Exploring the nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-destination level [J]. | SUSTAINABLE CITIES AND SOCIETY , 2025 , 119 . |
| MLA | Shen, Huapeng et al. "Exploring the nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-destination level" . | SUSTAINABLE CITIES AND SOCIETY 119 (2025) . |
| APA | Shen, Huapeng , Weng, Jiancheng , Lin, Pengfei . Exploring the nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-destination level . | SUSTAINABLE CITIES AND SOCIETY , 2025 , 119 . |
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Abstract ：
Transportation hubs are significant nodes for intercity travel and urban connection transport. They provide last-mile connection services and are essential in dispersing arriving passengers. Understanding the differences in travelers' psychological demands and mode choices can assist in improving the provision of successive transport services. This study tested the psychological heterogeneity of arriving travelers to better understand their successive modes of preferences and needs with different psychological traits. A survey was conducted considering the perceived importance and satisfaction with service for connection modes. Subsequently, a mixture regression model was established to reveal travelers' differences and analyze their preferences and significant factors for mode choice. Three types of passengers were identified: high satisfaction-low perceived importance (HS-LPI), eclectic, and low satisfaction-high perceived importance (LS-HPI) groups. Public transportation is the preferred choice of the HS-LPI group, whereas nonpublic transportation modes are more popular with the LS-HPI group, and comfort is pivotal to both types of travelers. Eclectic travelers express greater concern about travel time than the other groups. Interestingly, LS-HPI travelers focus on more than the comfort of the travel mode; they also prioritize the number of transfers involved. Additionally, scenario conditions and individual factors have unique effects on travelers' preferences.
Keyword ：
Psychological heterogeneity Psychological heterogeneity Mixture regression model Mixture regression model Urban travel behavior of successive mode Urban travel behavior of successive mode Transportation hub Transportation hub
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| GB/T 7714 | Yu, Jiangbo , Weng, Jiancheng , Lin, Pengfei et al. Unraveling Influence of Psychological Heterogeneity on Intercity Travelers' Last-Mile Mode Choice Based on Mixture Regression Modeling [J]. | JOURNAL OF URBAN PLANNING AND DEVELOPMENT , 2025 , 151 (2) . |
| MLA | Yu, Jiangbo et al. "Unraveling Influence of Psychological Heterogeneity on Intercity Travelers' Last-Mile Mode Choice Based on Mixture Regression Modeling" . | JOURNAL OF URBAN PLANNING AND DEVELOPMENT 151 . 2 (2025) . |
| APA | Yu, Jiangbo , Weng, Jiancheng , Lin, Pengfei , Sun, Yuxing , Chai, Jiaolong . Unraveling Influence of Psychological Heterogeneity on Intercity Travelers' Last-Mile Mode Choice Based on Mixture Regression Modeling . | JOURNAL OF URBAN PLANNING AND DEVELOPMENT , 2025 , 151 (2) . |
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Abstract ：
Public transit (PT) is one of the most important choices for urban residents' daily travel, and bus operation quality and passengers' satisfaction are the key factors affecting the attractiveness of urban public transport. However, different types of passengers have diversified expectations and subjective criteria for bus service quality. Therefore, it is worth investigating the relationship between operation quality and service satisfaction among a heterogeneous global cohort of passengers, to develop more scientific strategies to enhance passengers' satisfaction by improving the operational quality of PT. By considering the diversity of requirements of the different pas-senger groups, this paper intends to characterize quantitatively the relationship between the operation and service of buses by correlating the bus operation data and service satisfaction questionnaire data. Structural equation modeling is deployed to quantitatively describe the relationship between the latent variables affecting quality perception and overall satisfaction. A Gaussian Mixture Model was established to classify bus passengers into four typical groups based on their travel purposes and individual characteristics. A random forest feature selection method was used to identify the core preference indicators of the four different groups. An "Oper-ation-Service" relational impact model was established to explore the relationships between the bus operating status and service evaluation from the point of view of different passenger groups. The results show that operational efficiency has the greatest impact on passengers' overall satisfaction. If the average transport speed could increase from 10 km/h to 15 km/h during the rush hours of the workday, the satisfaction scores increased for different groups. When the arrival time fluctuation of the bus is controlled to within 10 min, the satisfaction score for travel time reliability will increase by 122% among young commuting passengers. Some policy recommen-dations and strategies for specifically increasing passenger satisfaction were also proposed to encourage passengers to adopt a lower-carbon and environmentally friendly way of traveling.
Keyword ：
Bus operation quality Bus operation quality Preference factors Preference factors Passengers' satisfaction Passengers' satisfaction Public transit Public transit Travel behavior Travel behavior Random forest Random forest
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| GB/T 7714 | Weng, JianCheng , Yu, JiangBo , Di, XiaoJian et al. How does the state of bus operations influence passengers' service satisfaction? A method considering the differences in passenger preferences [J]. | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE , 2023 , 174 . |
| MLA | Weng, JianCheng et al. "How does the state of bus operations influence passengers' service satisfaction? A method considering the differences in passenger preferences" . | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 174 (2023) . |
| APA | Weng, JianCheng , Yu, JiangBo , Di, XiaoJian , Lin, PengFei , Wang, Jing-Jing , Mao, Li-Zeng . How does the state of bus operations influence passengers' service satisfaction? A method considering the differences in passenger preferences . | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE , 2023 , 174 . |
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Abstract ：
The accurate depiction and understanding of the influence mechanism of residents' dependence on public transport (RDPT) is an important foundation for increasing the proportion of green trips and alleviating urban traffic congestion. To explore the influence mechanism of RDPT, this paper extends the theory of planned behavior (TPB) by introducing objective factors of attributes, environment, and travel characteristics. The agglomerative nesting clustering algorithm and multiple structural equation modeling (SEM) are then developed to identify the RDPT levels and analyze the influence relationships between the integrated influencing factors and RDPT based on travel survey data. The results indicate that the objective variables have indirect impacts on RDPT by influencing psychological variable attitudes, subjective norms and perceived control and travel intention. The residents' self-selection (RSS) effects of different clusters are all detected under normal conditions, and the environment on RDPT is still significant after controlling for this effect. The findings reflect that the influence mechanisms of the three SEMs for different clusters are distinct, unlike those of the baseline model, and distinctive observation variables have dissimilar explanatory abilities for the travel intention of different residents. Therefore, some beneficial policy implications are proposed for residents, especially those who retain low and relatively low public transport dependence levels, to increase public transport usage while reduce the car usage based on the significant findings.
Keyword ：
Public transport Public transport agglomerative nesting algorithm agglomerative nesting algorithm Psychology Psychology theory of planned behavior theory of planned behavior Attitude control Attitude control Data models Data models dependence dependence Automobiles Automobiles structural equation modeling structural equation modeling Position measurement Position measurement Analytical models Analytical models Mathematical models Mathematical models
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| GB/T 7714 | Hu, Song , Pham Minh Chau , Weng, Jiancheng et al. Extending the Theory of Planned Behavior to Explore the Influence of Residents' Dependence on Public Transport [J]. | IEEE ACCESS , 2021 , 9 : 137224-137240 . |
| MLA | Hu, Song et al. "Extending the Theory of Planned Behavior to Explore the Influence of Residents' Dependence on Public Transport" . | IEEE ACCESS 9 (2021) : 137224-137240 . |
| APA | Hu, Song , Pham Minh Chau , Weng, Jiancheng , Lin, Pengfei , Zhou, Wei . Extending the Theory of Planned Behavior to Explore the Influence of Residents' Dependence on Public Transport . | IEEE ACCESS , 2021 , 9 , 137224-137240 . |
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Abstract ：
A reasonable bus network is helpful to improve the quality of bus service and save travel time of travelers. The basis of bus network optimization is the diagnosis of the bus routes' operation state and the identification of the lines to be optimized. In order to evaluate the operation quality of a bus network comprehensively and optimize the bus routes more accurately, eight multidimensional indicators and calculation models are proposed from the travelers' perspective. A novel approach is proposed to diagnose bus routes operation state, and four types of bus lines that need to be optimized will be identified. Then, the identification thresholds of indicators are determined based on the actual bus operation data and passenger flow data. The proposed method can contribute to multi-dimensional evaluation and diagnosis analysis of bus routes operation and identify the bus routes to be optimized automatically based on large-scale public transport data.
Keyword ：
Bus Line Optimization Bus Line Optimization Public Transport Network Public Transport Network Evaluation Indicators Evaluation Indicators
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| GB/T 7714 | Zhang, Mengyuan , Weng, Jiancheng , Shi, Qingshuai . Bus Operation Diagnostic Indicators and To-Be-Optimized Routes Identification Methods Based on Public Transport Big Data [J]. | CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION , 2021 : 486-497 . |
| MLA | Zhang, Mengyuan et al. "Bus Operation Diagnostic Indicators and To-Be-Optimized Routes Identification Methods Based on Public Transport Big Data" . | CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION (2021) : 486-497 . |
| APA | Zhang, Mengyuan , Weng, Jiancheng , Shi, Qingshuai . Bus Operation Diagnostic Indicators and To-Be-Optimized Routes Identification Methods Based on Public Transport Big Data . | CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION , 2021 , 486-497 . |
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Abstract ：
Introduction: The optimization of public transport (PT) systems to ameliorate urban traffic problems and living environment requires a deep understanding of PT usage behaviour. However, there is a lack of scientific measurement of the influence on passengers' PT dependence (PTD) during emergent public health events. Methods: An extended theory of planned behaviour and an online survey scheme are proposed to investigate the influence of psychological and objective factors on passengers' PTD under an emergent public health event in Beijing, China. Then, four structural equation models are estimated to analyse the PTD influence mechanism of different groups of passengers. Results: The objective condition factors exert indirect effects on passengers' PTD via the psychological factors. Individual attributes have small influences on passengers' PTD, while the environment has a significant positive effect. Subjective norms have the highest influencing effect on passengers' PTD, and passengers with a relatively high PTD level have the risk of shifting to other transportation modes under the emergent public health events. Conclusions: The influence mechanism of emergency public health events on the PT dependence of different passengers is heterogeneous. The targeted policies should be implemented for different passengers to improve the PT market share and residents' health under emergent public health events.
Keyword ：
Structural equation model Structural equation model Emergent public health events Emergent public health events Dependence Dependence Public transport Public transport Extended theory Extended theory
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| GB/T 7714 | Hu, Song , Lin, Pengfei , Weng, Jiancheng et al. The impact of emergent public health events on passengers' public transport dependence [J]. | JOURNAL OF TRANSPORT & HEALTH , 2021 , 22 . |
| MLA | Hu, Song et al. "The impact of emergent public health events on passengers' public transport dependence" . | JOURNAL OF TRANSPORT & HEALTH 22 (2021) . |
| APA | Hu, Song , Lin, Pengfei , Weng, Jiancheng , Zhou, Wei . The impact of emergent public health events on passengers' public transport dependence . | JOURNAL OF TRANSPORT & HEALTH , 2021 , 22 . |
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Abstract ：
Rail transit is the backbone of urban public transportation, undertaking most of the passenger flow. Attractiveness of rail transit is directly affected by layout and accessibility of rail transit stations. However, classic accessibility evaluation methods do not fully consider the comprehensive impact of station and external space on accessibility. This paper comprehensively considers influence of passenger flow, land use, transportation network, and connection methods on accessibility and establishes a comprehensive evaluation model for accessibility based on indicators including attractiveness, population, road density, and public transit facilities. The paper studies several important stations of Metro Line 1 in Kunming, China and conducts a comprehensive evaluation of the accessibility of typical metro stations. Results show accessibility of line stations gradually decreases from city center to suburbs. Correlation between accessibility and indicators was verified, and conclusions about urban planning and transportation development were drawn, which provided important references for future planning and construction.
Keyword ：
Accessibility Accessibility Metro Stations Metro Stations Public Transportation Public Transportation Comprehensive Evaluation Model Comprehensive Evaluation Model Land Use Land Use
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| GB/T 7714 | Wang, Maolin , Weng, Jiancheng , He, Mingwei et al. Comprehensive Evaluation Model of Accessibility of Urban Metro Stations-A Case Study of Kunming, China [J]. | CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION , 2021 : 2291-2302 . |
| MLA | Wang, Maolin et al. "Comprehensive Evaluation Model of Accessibility of Urban Metro Stations-A Case Study of Kunming, China" . | CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION (2021) : 2291-2302 . |
| APA | Wang, Maolin , Weng, Jiancheng , He, Mingwei , He, Hanmei . Comprehensive Evaluation Model of Accessibility of Urban Metro Stations-A Case Study of Kunming, China . | CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION , 2021 , 2291-2302 . |
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Abstract ：
For a sustainable public transport system, it is important to unveil the spatiotemporal characteristics of ridership and identify the influence mechanisms. Some studies analysed the effects of weather and built environment separately, however, their effects when incorporated remains to be determined. Using smart card data, weather information, and point of interest data from Beijing, the Light Gradient Boosted Machine was employed to investigate the relative importance of weather and built environment variables contributing to daily ridership at the traffic analysis zone level, and investigate the non-linear relationship and interaction effects between them. Weather conditions and built environment contribute 30.22 and 55.83% to ridership fluctuations, respectively. Most variables show complex non-linear and threshold effects on ridership. The interaction effects of weather and weekend/public holiday have a more substantial influence on ridership than weekdays, indicating weather conditions have less impact on regular commuting trips than discretionary trips. The ridership fluctuations in response to changing weather conditions vary with spatial locations. Adverse weather, such as strong wind, high humidity, or heavy rainfall, has a more disruptive impact on leisure-related areas than on residence and office areas. This study can benefit stakeholders in making decisions about optimising public transport networks and scheduling service frequency.
Keyword ：
nonlinear relationship nonlinear relationship regression analysis regression analysis adverse weather adverse weather weather conditions weather conditions interaction effects interaction effects ridership fluctuations ridership fluctuations threshold effects threshold effects public transport ridership public transport ridership traffic analysis zone level traffic analysis zone level Light Gradient Boosted Machine Light Gradient Boosted Machine smart card data smart card data weather information weather information public transport networks public transport networks sustainable public transport system sustainable public transport system environment separately environment separately rain rain built environment variables built environment variables scheduling service frequency scheduling service frequency influence mechanisms influence mechanisms daily ridership daily ridership smart cards smart cards road traffic road traffic geophysics computing geophysics computing traffic engineering computing traffic engineering computing
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| GB/T 7714 | Lin, Pengfei , Weng, Jiancheng , Brands, Devi K. et al. Analysing the relationship between weather, built environment, and public transport ridership [J]. | IET INTELLIGENT TRANSPORT SYSTEMS , 2020 , 14 (14) : 1946-1954 . |
| MLA | Lin, Pengfei et al. "Analysing the relationship between weather, built environment, and public transport ridership" . | IET INTELLIGENT TRANSPORT SYSTEMS 14 . 14 (2020) : 1946-1954 . |
| APA | Lin, Pengfei , Weng, Jiancheng , Brands, Devi K. , Qian, Huimin , Yin, Baocai . Analysing the relationship between weather, built environment, and public transport ridership . | IET INTELLIGENT TRANSPORT SYSTEMS , 2020 , 14 (14) , 1946-1954 . |
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