Conference Review

2021 International Conference on Public Administration, Health and Humanity Development (PAHHD2021) was successfully concluded in Chengdu from July 9-11, 2021. In addition to studying academic methods and other professional issues, we also enjoyed the cultural atmosphere brought by this ancient city.

Group Photo

Conference Registration

Keynote Speaker 1

Assoc. Prof. Ziqiang Zeng

Management Science and System Science, Sichuan University

Title: Data-Driven Traffic Emission Analytic Platform for Chengdu City

Abstract: In recent years, China's regional atmospheric environmental problems have become increasingly prominent. It has become an important national strategy to control urban traffic pollution emissions and improve air quality. The construction of traffic emission big data analysis platform can realize low-cost real-time analysis and visualization of traffic emission data. It can also evaluate the environment and energy-saving benefits of traffic planning and decision-making, guide popular low-carbon travel, effectively promote the specific implementation of intelligent traffic management policy, eliminate the data barrier of industrial docking, promote the development of green transportation industry chain, revitalize the upstream and downstream resources of related industries, and bring new vitality to a city’s economy. Based on the data resources related to traffic emissions in Chengdu, this study constructed the basic framework and algorithm of the traffic emission big data analysis platform, and proposed the traceability analysis of traffic pollution emissions on road sections, that is, based on the road section emission prediction model, through big data analysis to locate possible high pollution road sections or regions, and dynamically analyze the formation, transmission and diffusion of traffic pollution emissions. On the basis of judging the formation of high pollution, this study further analyzes the causes and trends of high pollution, and provides a reliable basis for management decisions such as environmental accountability, punishment and rectification. Finally, from the perspectives of government, enterprises and publics, this study discusses the construction of ecological chain system of related data application.

Keynote Speaker 2

Prof. Jiang Yushi

Southwest Jiaotong University

Title: How Dispersive Opinions Affect Consumer Decisions: Endowment Effect Guides Attributional Inferences

Abstract: Electronic word-of-mouth (eWOM) dispersion, reflecting the extent of reviewers’ opinion divergence regarding a product, determines consumer decisions. Drawing upon the endowment effect and attribution literature, this research proposes that the endowment effect mediates the influence of eWOM dispersion on attributional inferences, and the display formats of eWOM dispersion (“horizontal bar chart” vs. “eWOM content”) moderate the mediating influence of endowment effect on attributional inferences of eWOM dispersion. Three complementary studiesreveal three key insights in this setting. First, when consumers already having an emotional attachment to a product and subsequently encountering dispersive eWOM, the higher the level of eWOM dispersion, the stronger the endowment effect. Secondly, in such circumstance, the stronger endowment effect promotes more reviewer-related attribution inference of high-dispersion eWOM, and the weaker endowment effect promotes more product-related attribution inference of low-dispersion eWOM. Third, the positive influence of eWOM dispersion on endowment effect is stronger for eWOM dispersion in the complexity or disfluency display format (i.e. “reviewers’ impression of product”)

Keynote Speaker 3

Assoc. Prof. Hongbo Li 

School of Management, Shanghai University

Title: An Effective Genetic Algorithm for the Resource Leveling Problem with Generalized Precedence Relations

Abstract: Resource leveling aims to obtain a feasible schedule to minimize the resource usage fluctuations during project execution. It is of crucial importance in project scheduling to ensure the effective use of scarce and expensive renewable resources, and has been successfully applied to production environments, such as make-to-order and engineering-to-order systems. In real life projects, general temporal relationships are often needed to model complex time-dependencies among activities. We develop a novel genetic algorithm (GA) for the resource leveling problem with generalized precedence relations (RLP-GPR). Our design and implementation of GA features an efficient schedule generation scheme, built upon a new encoding mechanism that combines the random key representation and the shift vector representation. A two-pass local search based improvement procedure is devised and integrated into the GA to enhance the algorithmic performance. Our GA is able to obtain near optimal solutions with less than 2% optimality gap for small instances in fractions of a second. It outperforms or is competitive with the state-of-the-art algorithms for large benchmark instances with size up to 1000 activities.

Keynote Speaker 4

Prof. Quanxin Zhu

Hunan Normal University

Title:  Recent advances and related topics on the stability of stochastic nonlinear systems

Abstract: As is well-known, the research on stochastic nonlinear systems is an important topic in the field of stochastic control. In recent decades, stochastic nonlinear systems have been applied to many fields of mathematics, physics, biology, engineering, finance, and economics，etc. With the development of national economy and society, the actual system is becoming more and more complex. Moreover, the stability is often destroyed by earthquake, tsunami, war, financial crisis, etc. So the stability is one of the best challenging topics in the field of stochastic nonlinear systems. In this talk, we first introduce the model and background of stochastic nonlinear systems. Then, we give some definitions and classical results on stochastic stability. Finally, we present our recent results and methods on this topic.

Oral Presentation

Tea Time