Effects of urban environmental attributes on graduate job preferences in Northeastern China: an application of conjoint analysis and big data methods

Zhang, Jiahao; Fukuda, Hiroatsu; Wei, Xindong; Zhang, Li; Jiang, Jin

doi:10.1088/1748-9326/ac2e87

Cited by 3 publications

(1 citation statement)

References 52 publications

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“…[25]. Compared with traditional data, these big data have the advantages of a shorter update cycle, faster update speed and wider coverage, which makes big data more advantageous than traditional data in the related studies of urban space [26,27]. As a kind of point data based on geographical location, POI data is the location collection of all geographical entities within the urban area in virtual geographic space.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Monitoring Urban Built-Up Areas in Kunming and Yuxi from 2012 to 2021: Promoting Healthy Urban Development and Efficient Governance

Zhang

Tan

et al. 2022

IJERPH

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With the rapid expansion of urban built-up areas in recent years, accurate and long time series monitoring of urban built-up areas is of great significance for healthy urban development and efficient governance. As the basic carrier of urban activities, the accurate monitoring of urban built-up areas can also assist in the formulation of urban planning. Previous studies on urban built-up areas mainly focus on the analysis of a single time section, which makes the extraction results exist with a certain degree of contingency. In this study, a U-net is used to extract and monitor urban built-up areas in the Kunming and Yuxi area from 2012 to 2021 based on nighttime light data and POI_NTL (Point of Interest_Nighttime light) data. The results show that the highest accuracy of single nighttime light (NTL) data extraction was 89.31%, and that of POI_NTL data extraction was 95.31%, which indicates that data fusion effectively improves the accuracy of built-up area extraction. Additionally, the comparative analysis of the results of built-up areas and the actual development of the city shows that NTL data is more susceptible to urban emergencies in the extraction of urban built-up areas, and POI (Point of interest) data is subject to the level of technology and service available in the region, while the combination of the two can avoid the occasional impact of single data as much as possible. This study deeply analyzes the results of extracting urban built-up areas from different data in different periods and obtains the feasible method for the long time sequence monitoring of urban built-up areas, which has important theoretical and practical significance for the formulation of long-term urban planning and the current high-quality urban development.

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Section: Introductionmentioning

confidence: 99%

A New Approach to Monitoring Urban Built-Up Areas in Kunming and Yuxi from 2012 to 2021: Promoting Healthy Urban Development and Efficient Governance

Zhang

Tan

et al. 2022

IJERPH

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Theoretical analysis of advanced intelligent computing in environmental research

Wen

Feng

Huang

et al. 2022

Environ. Res. Lett.

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Criteria Weights in Hiring Decisions—A Conjoint Approach

2023

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Understanding human behavior in the decision-making process represents a challenge for researchers in the socio-economic field. The complexity comes from multiple criteria acting simultaneously. Hiring decisions are made on a set of criteria representing the attributes of the applicants. This study’s main objective is to investigate Romanian employers’ behavior when recruiting for jobs targeting graduates from economic studies. The method used to identify the weights employers assign to different skills was based on an experimental technique-choice based conjoint. A survey experiment was conducted to produce causal conclusions about the recruiting process. The estimation was performed with a methodology based on machine learning, which allows to investigate interactions between subjects’ characteristics and conjoint criteria. The findings of our experiment align with other studies pointing to the increased relevance of non-cognitive skills for employability. Additionally, our results show that criteria weights in hiring decisions depend on company size, ownership, activity sector or personal characteristics of the recruiter. Our research provides a mechanism for understanding employers’ perspectives. This is valuable for informing job seekers to adjust their job search strategies and to invest in the skills offering hiring opportunities. Moreover, universities can use the results to adapt their educational programs to labor market needs.

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Effects of urban environmental attributes on graduate job preferences in Northeastern China: an application of conjoint analysis and big data methods

Cited by 3 publications

References 52 publications

A New Approach to Monitoring Urban Built-Up Areas in Kunming and Yuxi from 2012 to 2021: Promoting Healthy Urban Development and Efficient Governance

A New Approach to Monitoring Urban Built-Up Areas in Kunming and Yuxi from 2012 to 2021: Promoting Healthy Urban Development and Efficient Governance

Theoretical analysis of advanced intelligent computing in environmental research

Criteria Weights in Hiring Decisions—A Conjoint Approach

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