作者机构：
[Wang, Yizhou; Wang, YZ; Chen, Xiaoxiao; Lu, Xinyuan] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Lu, Xinyuan] Hubei Elect Commerce Res Ctr, Wuhan 430079, Peoples R China.;[Lu, Quan] Hubei Univ Technol, Sch Econ & Management, Wuhan 430068, Peoples R China.
通讯机构：
[Wang, YZ ] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
关键词：
PLS-SEM;cognitive–affective personality systems theory;conservation of resources theory;cyberloafing;role stress
摘要：
This investigation delves into the pervasive yet insufficiently examined phenomenon of "cyberloafing", characterized by employees engaging in non-work-related internet activities during office hours. Despite its frequent occurrence in contemporary work environments, the fundamental mechanisms underpinning cyberloafing remain largely uncharted. This study uses the conservation of resources theory and the cognitive-affective personality system framework to demystify the relationship between role stress and cyberloafing. We developed a dual-path model to assess the mediating roles of perceived insider status and emotional exhaustion. Employing SPSS and Smart PLS for data analysis, our research sampled 210 corporate employees. The findings reveal that role stress predicts perceived insider status and emotional exhaustion significantly. Notably, while perceived insider status negatively correlates with cyberloafing, emotional exhaustion shows a positive correlation. These factors mediate the relationship between role stress and cyberloafing, underscoring a multifaceted dynamic. Our results provide new theoretical insights into the mechanisms of employee counterproductive behavior, specifically in the context of cyberloafing, and broaden our understanding of its determinants. This study illuminates theoretical nuances and offers practical implications for managerial strategies and future scholarly inquiries into organizational behavior.
作者机构：
[Wu, Ruiping; Lu, Xinyuan] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.;[Lu, Xinyuan] Cent China Normal Univ, Hubei E Commerce Res Ctr, Wuhan, Hubei, Peoples R China.;[Wu, RP; Wu, Ruiping] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Wu, RP ] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Hubei, Peoples R China.
关键词：
Rural digitization;rural enterprises' resilience;rural labour outflow;labour resource misallocation;R11;R58;O16
摘要：
Considerable research has focused on the question of how to better utilize the rural digitization to enhance rural enterprises' resilience. However, there has not been a unified conclusion reached on the influence of rural digitization on rural enterprises' resilience. To reconcile the existing inconclusive evidence, this paper aims to investigate the nonlinear impact of rural digitization on rural enterprises' resilience. We also hypothesize the mediating role of rural labour outflow in the relationship and explore the moderating role of rural social organization. Following a mixed research method, we employ the U-test method and 205 listed Chinese rural enterprises as the research objects to test the hypotheses. We then use a qualitative case study to offer unique insights for explaining the underlying mechanisms behind the quantitative results. The findings show that rural digitization and rural enterprises' resilience have a U-shaped relationship, and labour outflow plays a nonlinear mediating role in it. Moreover, rural labour outflow and rural enterprises' resilience show an inverted U-shaped relationship, which regulated by rural social organization. Together, the mixed methods research offers nuanced and scientific advice for enhancing rural enterprises' resilience.
期刊：
ONLINE INFORMATION REVIEW,2024年 ISSN：1468-4527
通讯作者：
Mo, FC
作者机构：
[Hu, Min; Feng, Cuicui; Yi, Ming] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Mo, Fuchuan; Mo, FC] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.
通讯机构：
[Mo, FC ] W;Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
Online health information;OHCs;TPB;IAM;Users' compliance willingness;Subjective norms
摘要：
Purpose
The environment in which users acquire medical and health information has changed dramatically, with online health communities (OHCs) emerging as an essential means for accessing health information. It is imperative to comprehend the factors that shape the users' compliance willingness (UCW) to health information in OHCs.
Design/methodology/approach
This study adopted the information adoption model (IAM) and theory of planned behavior (TPB) to investigate the influence of argument quality (AQ), source credibility (SC) and subjective norms (SN) on UCW while considering the two types of online health information – mature and emerging treatments. The authors conducted an explanatory-predictive study based on a 2 (treatment types: mature vs. emerging) * 2 (AQ: high vs. low) * 2 (SC: high vs. low) scenario-based experiment, using the partial least squares structural equation modeling (PLS-SEM).
Findings
SC positively influences AQ. AQ, SC and SN contribute to information usefulness (IU). These factors positively affect UCW through the mediation of IU. SN were found to improve UCW directly. Moreover, the moderating effect of SC on AQ and IU was more substantial for emerging treatments.
Originality/value
The research model integrates IAM and TPB, considering information types as an additional variable. The approach and findings provide a valuable explanation for UCW to health information in OHCs.
期刊：
Finance Research Letters,2024年62 ISSN：1544-6123
通讯作者：
Wang, X
作者机构：
[Wang, Ting] Chongqing Univ, Sch Publ Policy & Adm, Chongqing, Peoples R China.;[Tang, Jian] Ningbo Financial Dev Serv Ctr, Ningbo, Peoples R China.;[Wang, Xiao] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[He, Qiankun] Chongqing Ind Polytech Coll, Sch Marxism, Chongqing, Peoples R China.
通讯机构：
[Wang, X ] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
Capital misallocation;Environmental regulation;Carbon emissions trading
摘要：
Utilizing data from 2010 to 2021 from listed firms, this study examines the relationship between environmental regulation and capital allocation efficiency. The empirical findings reveal that the implementation of carbon emissions trading scheme pilots plays a pivotal role in diminishing capital misallocation within firms. This effect is more pronounced in state-owned enterprises, firms facing high financial constraints, those operating in highly competitive markets, and organizations that are not part of the high-tech or high-pollution industries. These findings highlight the significant role of macro-level environmental regulations in improving micro-level organizational capital efficiency.
作者机构：
[Gao, Ying; Huang, Yanmei; Zhang, Qiang; Meng, Fanshuang] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Wang, Xiaoran; Zhang, Qiang; Tao, Wan] Anhui Polytech Univ, Sch Comp & Informat, Wuhu, Peoples R China.
通讯机构：
[Zhang, Q ] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;Anhui Polytech Univ, Sch Comp & Informat, Wuhu, Peoples R China.
关键词：
Tang tomb murals;Ontology;Knowledge graphs;Digital humanities;Geographic information systems
摘要：
Purpose
Currently, the Tang tomb mural cultural relic resources are presented in a multi-source and heterogeneous manner, with a lack of effective organization and sharing between resources. Therefore, this study aims to propose a multidimensional knowledge discovery solution for Tang tomb mural cultural relic resources.
Design/methodology/approach
Taking the Tang tomb murals collected by the Shaanxi History Museum as an example, based on clarifying the relevant concepts of Tang tomb mural resources and considering both dynamic and static dimensions, a top-down approach was adopted to first construct an ontology model of Tang tomb mural type cultural relics resources. Then, the actual case data was imported into the Neo4J graph database according to the defined pattern hierarchy to complete the static organization of knowledge, and presented in a multimodal form in knowledge reasoning and retrieval. In addition, geographic information system (GIS) technology is used to dynamically display the spatiotemporal distribution of Tang tomb mural resources, and the distribution trend is analysed from a digital humanistic perspective.
Findings
The multi-dimensional knowledge discovery of Tang tomb mural cultural relics resources can help establish the correlation and spatiotemporal relationship between resources, providing support for semantic retrieval and navigation, knowledge discovery and visualization and so on.
Originality/value
This study takes the murals in the collection of the Shaanxi History Museum as an example, revealing potential knowledge associations in a static and intelligent way, achieving knowledge discovery and management of Tang tomb murals, and dynamically presents the spatial distribution of Tang tomb murals through GIS technology, meeting the knowledge presentation needs of different users and opening up new ideas for the study of Tang tomb murals.
摘要：
The study addresses the prevailing assumption within the literature, that abundant natural resources exacerbate environmental degradation. Despite significant exploration of this topic, our study introduces a unique angle by testing the robustness of the “Natural Resources Kuznets Curve” assumption. We analyze data spanning thirty years (1990–2020) from five different economies, and our results support the presence of the Kuznets Curve in these regions. This suggests that increased natural resource abundance correlates with decreased environmental degradation. Other important relationships we discover point to the beneficial role of digitalization in reducing environmental harm, while urbanization appears to intensify it. Based on our empirical results, policymakers should prioritize strategies that discourage the overexploitation of natural resources, foster digitalization, and advocate for sustainable urbanization practices to mitigate environmental damage. Our findings provide a broader perspective on the resource-environment nexus, urging future research in this direction for the development of effective, sustainable policies.
摘要：
OBJECTIVES: Cyberchondria is increasingly recognized as the dark side of digital health, given the pervasive use of the internet as a main source of health information in people's daily lives. While previous studies have identified many factors contributing to cyberchondria, there is a dearth of research on the impact of health-related advertisements. Therefore, this study adopts the stressor-strain-outcome (SSO) model to investigate how health-related advertising interference is directly and indirectly related to cyberchondria. METHODS: To empirically validate the proposed research model, we conducted an online survey with 437 internet users with medical information seeking experience in China. Structural equation modeling (SEM) was employed to analyze the survey data. RESULTS: Our findings revealed a positive, direct association between health-related advertising interference and cyberchondria. Meanwhile, advertising interference was positively related to both information overload and information irrelevance, with the former further predicting cyberchondria. Moreover, doctor-patient communication weakened the positive effect of information overload on cyberchondria. CONCLUSIONS: The study not only theoretically contributes to the literature by theorizing the relationship between health-related advertising interference and cyberchondria but also practically underlines the pivotal role of effective doctor-patient communication in reducing the development of cyberchondria.
期刊：
Information Processing & Management,2024年61(3):103649 ISSN：0306-4573
通讯作者：
Chi, MM
作者机构：
[Xia, Lixin; Zhai, Shanshan] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Chi, Maomao; Chi, MM] China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China.;[Chi, Maomao; Chi, MM] Wuhan Technol & Business Univ, Inst Digital Commerce, Wuhan 430065, Peoples R China.;[Li, Xuguang] Shandong Univ Technol, Sch Informat Management, Zibo 255000, Peoples R China.
通讯机构：
[Chi, MM ] C;China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China.;Wuhan Technol & Business Univ, Inst Digital Commerce, Wuhan 430065, Peoples R China.
关键词：
Configuration perspective;National natural science foundation of China;Youth program;Library and information science
摘要：
While extensive research has delved into various facets of science funding outputs and the determinants of funding approval, prevailing methodologies predominantly rely on descriptive statistics or regression analyses. These approaches often miss a holistic view that integrates the interplay of multiple influential factors. In this study, we leverage the scientific research productivity model to introduce the Institution-Capability-Demographics framework, encompassing three pivotal dimensions: institutional characteristics, individual capabilities, and individual demographics. Adopting a configuration perspective, we scrutinize the synergistic effects of these dimensions on the time-to-win in science funding applications. Our empirical analysis draws from data of 72 young scholars affiliated with the Youth Program for Library and Information Science (LIS) of the NSFC, all of whom secured funding between 2003 and 2019. Through the fuzzy-set qualitative comparative analysis (fsQCA), this study delineates four distinct mechanisms that expedite the application process for the NSFC's Youth Program: demographic-capability-institution synergy, capability-centric balance, demographic-capability harmony, and capability-institution equilibrium. The findings elucidate the intricate interdependencies of factors influencing the time-to-win in science funding, offering valuable guidance for science fund managers and fostering the growth of emerging scholars.
作者：
Zhang, Min;Zhang, Dongxin;Zhang, Yin;Yeager, Kristin;Fields, Taylor N.
期刊：
Journal of Informetrics,2023年17(4) ISSN：1751-1577
通讯作者：
Zhang, Y
作者机构：
[Zhang, Min] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Zhang, Dongxin] Southwest Univ, Sch Comp & Informat Sci, Chongqing, Peoples R China.;[Zhang, Yin; Fields, Taylor N.; Zhang, Y] Kent State Univ, Sch Informat, Kent, OH 44242 USA.;[Yeager, Kristin] Kent State Univ, Univ Lib, Kent, OH USA.
通讯机构：
[Zhang, Y ] K;Kent State Univ, Sch Informat, Kent, OH 44242 USA.
摘要：
Influence plays a critical role in information communication, and the ubiquitous use of social media has made measuring influence on social media platforms a salient challenge. While previous studies have attempted to measure and investigate influence on Twitter, there is no consensus on its definition or relation to fundamental Twitter metrics. This study examined relationships between a composite influence measure of Twitter and fundamental social media metrics using a sample of tweets from a multi-year public campaign. Correlation analyses indicated that a user's number of followers had the strongest correlation with the composite measure. Principal components analysis was conducted for dimension reduction, and multiple regression analysis was performed using the resulting components. The findings revealed that a user's network was the most important predictor of the composite influence measure and that there was a negative relationship between campaign related activity and the composite measure. Implications of these findings are discussed. Overall, this study contributes to the understanding of and future efforts in the measurement of influence on social media.
摘要：
Users' search performance indicates the effectiveness and success with which users' information needs are met, which is calculated based on the relevance judgment by users themselves. This study proposed to explore the prediction of users' search performance in the context of cross-device search. A user experiment was performed to collect users' relevance judgments and search behaviors in cross-device search. Based on users' relevance judgments, users' search performance was evaluated by calculating the percentage of valid clicks, effective search time, nDCG@n, and satisfaction. A simple linear regression model was adopted to train the prediction model. The final results showed that a combination of users' search performance in pre-switch sessions and their search behavior in post-switch sessions can attain the best prediction accuracy. Important features to predict users' search performance in cross-device search shed light on improving search systems to aid users in completing the task efficiently.
作者：
Ye, Guanghui;Wang, Cancan;Wu, Chuan;Peng, Ze;Wei, Jinyu;...
期刊：
Journal of Informetrics,2023年17(3):101421 ISSN：1751-1577
通讯作者：
Wu, C
作者机构：
[Wu, Chuan; Peng, Ze; Wu, C; Tan, Qitao; Wu, Lanqi; Ye, Guanghui; Wei, Jinyu; Song, Xiaoying; Wang, Cancan] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
通讯机构：
[Wu, C ] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
Research front detection;Research grant information;Evolution analysis;Health informatics
摘要：
Identifying research fronts is an essential aspect of promoting scientific development. Many re-searchers choose their research directions and topics by analyzing their field's current research fronts. Many previous researchers have used academic papers or patents to identify research fronts; however, this is potentially outdated and reduces the prospective value of the research front detection. Considering this, this work proposes adapted indicators to conduct research front topic detection based on research grant data, which aims to identify research front topics and fore-cast trends using path analysis. First, research topics were identified using topic modeling, and then the mapping relations from topics to both fund projects and cross-domain categories were built. Then, research front topics were detected by multi-dimensional measurements, and the evo-lution of research topics was analyzed using topic evolution visualization to predict development trends. Finally, the Brillouin index was used to measure the cross-domain degree. Our method was evaluated using a dataset from the field of health informatics and was shown to be effective in research front identification. We found that the proposed adapted indicators were informative in identifying the evolutional trends in the health informatics field. In addition, research grants with higher cross-domain degrees are more likely to receive a high amount of funding.
作者机构：
[Ye, Jiaxin; Meng, Xuan; Xiong, Huixiang] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Guo, Jinpeng] Cent China Normal Univ, Sch Polit & Int Studies, Wuhan, Peoples R China.
关键词：
Group recommendation;Comment function classification;Comment role classification;Book
摘要：
Purpose
The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of individuals engaging in sharing and discussing books on the web.
Design/methodology/approach
The authors propose reviews fine-grained classification (CFGC) and its related models such as CFGC1 for book group recommendation. These models can categorize reviews successively by function and role. Constructing the BERT-BiLSTM model to classify the reviews by function. The frequency characteristics of the reviews are mined by word frequency analysis, and the relationship between reviews and total book score is mined by correlation analysis. Then, the reviews are classified into three roles: celebrity, general and passerby. Finally, the authors can form user groups, mine group features and combine group features with book fine-grained ratings to make book group recommendations.
Findings
Overall, the best recommendations are made by Synopsis comments, with the accuracy, recall, F-value and Hellinger distance of 52.9%, 60.0%, 56.3% and 0.163, respectively. The F1 index of the recommendations based on the author and the writing comments is improved by 2.5% and 0.4%, respectively, compared to the Synopsis comments.
Originality/value
Previous studies on book recommendation often recommend relevant books for users by mining the similarity between books, so the set of book recommendations recommended to users, especially to groups, always focuses on the few types. The proposed method can effectively ensure the diversity of recommendations by mining users’ tendency to different review attributes of books and recommending books for the groups. In addition, this study also investigates which types of reviews should be used to make book recommendations when targeting groups with specific tendencies.
摘要：
Accurate and effective container throughput forecasting plays an essential role in economic dispatch and port operations, especially in the complex and uncertain context of the global Covid-19 pandemic. In light of this, this research proposes an effective multi-step ahead forecasting model called EWT-TCN-KMSE. Specifically, we initially use the empirical wavelet transform (EWT) to decompose the original container throughput series into multiple components with varying frequencies. Subsequently, the state-of-the-art temporal convolutional network is utilized to predict the decomposed components individually, during which an improved loss function that combines mean square error (MSE) and kernel trick is employed. Eventually, the deduced prediction results can be obtained by integrating the predicted values of each component. In particular, this research introduces the MIMO (multi-input and multi-output) strategy to conduct multi-step ahead container throughput forecasting. Based on the experiments in Shanghai port and Ningbo-Zhoushan port, it can be found that the proposed model shows its superiority over benchmark models in terms of accuracy, stability, and significance in container throughput forecasting. Therefore, our proposed model can assist port operators in their daily management and decision making.
期刊：
Information Processing & Management,2023年60(4):103348 ISSN：0306-4573
通讯作者：
Duantengchuan Li<&wdkj&>Yan Zhang
作者机构：
[Li, Zhifei; Zhang, Yan] Hubei Univ, Sch Comp Sci & Informat Engn, Wuhan 430062, Hubei, Peoples R China.;[Zhang, Qi] Cent China Normal Univ, Sch Informat Management, Wuhan 430072, Hubei, Peoples R China.;[Zhu, Fangfang] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.;[Zheng, Chao; Li, Duantengchuan] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Hubei, Peoples R China.
通讯机构：
[Duantengchuan Li; Yan Zhang] S;School of Computer Science, Wuhan University, Wuhan, Hubei 430072, China<&wdkj&>School of Computer Science and Information Engineering, Hubei University, Wuhan, Hubei 430062, China
期刊：
Technological and Economic Development of Economy,2023年29(6):1728-1752 ISSN：2029-4913
通讯作者：
Gao, MY
作者机构：
[Xiao, Qinzi; Chen, Lin; Jiang, Juncheng] Wuhan Inst Technol, Sch Management, Wuhan, Peoples R China.;[Gao, Mingyun] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
通讯机构：
[Gao, MY ] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
digital economy evaluation;grey relational degree;fuzzy integral;grey information coverage;normal cloud matrix
摘要：
This study aims to reflect the grey information coverage and complex interactions effect in digital economy development. Therefore, a multi-attribute decision making method based on the grey interaction relational degree of the normal cloud matrix (GIRD-NCM) model is pro-posed. First, the original information coverage grey numbers are transformed into normal cloud matrixes, and then a novel Minkowski distance between normal clouds is proposed by using different information principles. Second, the GIRD-NCM model is established according to the Choquet fuzzy integral and grey relational degree. Finally, the dynamic comprehensive evaluation of digital economy development in China from 2013 to 2020 is conducted. The implementation, availability, and feasibility of the GIRD-NCM model are verified by comparative analysis with three existing evaluation models. The empirical findings reveal a stable growth trend in China's digital economy, with an annual growth rate of 7.87%, however, there are notable regional devel-opment disparities. The change in interaction degree has no effect on the rankings of provinces that are in the lead or have a moderately high level of digital economy development, but has a positive and negative impact on the rankings of these provinces with high and low levels of digital economy development, respectively.
期刊：
DIGITAL HEALTH,2023年9:20552076231208559 ISSN：2055-2076
通讯作者：
Cao, GH
作者机构：
[Gong, Hongcun; Deng, Sanhong; Wang, Hao] Nanjing Univ, Sch Informat Management, Nanjing, Peoples R China.;[Gong, Hongcun; Deng, Sanhong; Wang, Hao] Nanjing Univ, Int Joint Informat Lab, Nanjing, Peoples R China.;[Cao, Gaohui] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Cao, Gaohui; Cao, GH] Cent China Normal Univ, Sch Informat Management, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
通讯机构：
[Cao, GH ] C;Cent China Normal Univ, Sch Informat Management, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
关键词：
Health anxiety;health information-seeking behavior;ABC theory of emotion;rural population
摘要：
OBJECTIVE: The aim of the current study was to explore the relationship between online and offline health information-seeking behaviors, as antecedents and consequences, and health anxiety and related belief factors in rural residents. METHODS: Based on the ABC theory of emotions (ABC model), this study developed two theoretical models of the association between health anxiety and health information-seeking behavior: Placing health information-seeking behavior (both online and offline) as an outcome and antecedent, respectively, and setting three belief factors of the perceived health threat, intolerance of uncertainty, and catastrophic misinterpretations. We collected 730 self-reported data points from 20 June to 5 July 2022 for rural residents in China and empirically tested the research model and hypotheses using partial least squares-based structural equation modeling. RESULTS: The perceived health threat and intolerance of uncertainty are significant motivators of health anxiety, and health anxiety has a direct beneficial effect on both online and offline health information-seeking behaviors. Health anxiety is influenced either directly or indirectly by catastrophic misinterpretations resulting from online health information-seeking, while offline health information-seeking behavior does not contribute as strongly to health anxiety directly but mainly reinforces it through the mediating influence of catastrophic misinterpretations. CONCLUSIONS: Rural residents' health anxiety promotes their online and offline health information behaviors. And both their online and offline health information-seeking behaviors may promote health anxiety directly and through catastrophic misinterpretations. Comparing the two, online health information-seeking behaviors primarily exacerbate health anxiety through direct effects, whereas offline health information-seeking behaviors primarily affect health anxiety through catastrophic misinterpretations. We provide suggested guidelines for alleviating health anxiety and regulating health information behaviors among rural residents.
期刊：
Transportmetrica A: Transport Science,2023年19(2):Article: 1980131 ISSN：2324-9935
通讯作者：
Chen, Anthony
作者机构：
[Wang, Guangchao; Tong, Kebo] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Chen, Anthony] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China.;[Qi, Hang] Hubei Univ Econ, Inst Adv Studies Finance & Econ, Wuhan 430000, Peoples R China.;[Xu, Xiangdong] Tongji Univ, Key Lab Rd & Traff Engn, Shanghai 201804, Peoples R China.;[Ma, Shoufeng] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
通讯机构：
[Chen, Anthony] H;Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China.
关键词：
Stochastic user equilibrium;least perceived travel cost;Weibit model;location parameter;relative variability
摘要：
This study investigates the impacts of the least perceived travel cost on the stochastic user equilibrium (SUE) problem. The Weibit SUE models are considered since they have a location parameter that naturally capture the least perceived travel cost. Considering a positive location parameter enhances the behavioral reality by attaching a positive lower-bound to the perceived travel cost distributions. It reduces the perception variances route-specifically and causes route-specific coefficients of variation (CVs). The CVs reduce proportionally slower for shorter routes, thus contributing to resolving the scale insensitivity issue in the Weibit SUE models. In the meantime, the route-specific CVs cause better discrimination between short and long routes in terms of relative variability; more travelers shift to the shortest route between each origin-destination pair. Numerical results confirm the analytical results regarding the effects of the least perceived travel costs and demonstrate the efficiency and robustness of the proposed solution algorithm.
