Investigating the effects of POI-based land use on traffic accidents in Suzhou Industrial Park, China

Chung, Hyungchul; Duan, Qiaonan; Chen, Zihao; Yang, Yueming

doi:10.1016/j.cstp.2022.100933

Cited by 6 publications

(5 citation statements)

References 54 publications

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“…The influence of the built environment on road accidents has also been the subject of considerable recent research internationally [4][5][6][7][8].…”

Section: B Factors Influencing Road Accidentsmentioning

confidence: 99%

“…Increasing population and urbanization have led to rising accident rates in China, A recent paper investigated the effects of Points of Interest (POI) on traffic accidents in a busy industrial park [5]. These authors applied a variety of geospatial analysis techniques and found that local models such as Geographically Weighted Regression performed better than global models such as Negative Binomial Regression.…”

Section: Case Studiesmentioning

confidence: 99%

“…GWR captures a process's spatial heterogeneity (i.e., process variation by spatial context) via an operationalization of Tobler's first law of geography: "everything is related to everything else, but near things are more related than distant things" [37]. We note that much recent work has been done applying GWR to road accident modelling [5,38].…”

Section: E Multiscale Geographically Weighted Regressionmentioning

confidence: 99%

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Geospatial Factors Applied to Road Accidents: A Review

Watson,

Ryan

2024

JAIT

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Road accidents are a major source of trauma worldwide due to increasing numbers of vehicles and drivers. Considerable data has been collected on road accidents and this is frequently published as open data on the internet. These datasets include parameters such as accident type and number of fatalities as well as environmental variables such as road type, demographics, and area infrastructure. Geospatial analysis provides a means of understanding spatial factors that influence road accidents such as the built infrastructure, natural environment features such as hills and vegetation, traffic volume, and road design and construction. Geospatial visualization techniques can also help identify hotspots and blackspots. The Moran I, Getis-Ord, and Kernel Density Estimation techniques are the most commonly-used geospatial tests and their application is reported in many papers. This paper provides a review of geospatial factors that are relevant to road accidents.

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“…The influence of the built environment on road accidents has also been the subject of considerable recent research internationally [4][5][6][7][8].…”

Section: B Factors Influencing Road Accidentsmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: E Multiscale Geographically Weighted Regressionmentioning

confidence: 99%

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Geospatial Factors Applied to Road Accidents: A Review

Watson,

Ryan

2024

JAIT

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“…For example, one study pinpointed that the causal effect of a work zone on crash occurrence is significantly positive [41]. By including Chung et al (2023), the results revealed the different effects of points of interest or POI-based land use on traffic accidents [42]. The results also pointed to some significant land use types, which are residential, commercial, governmental, and institutional land uses which provide the significant role of land-use planning in fatalities and injuries resulting from road accidents.…”

Section: Literature Reviewmentioning

confidence: 99%

The Transition of Land Use and Road Safety Studies: A Systematic Literature Review (2000–2021)

2023

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About 1.3 million deaths occur every year due to road traffic crashes, making road safety a growing concern in many cities. This study considers the extent to which road safety challenges contribute to the built environment. In this paper, we applied the visualization technology of Bibliometrics supported by VOSviewer software and CitesSpace to develop a systematic review to understand the research status and identify gaps in road safety related to built environmental issues. This method has advantages in comprehensive quantitative statistics, visual information display, accurate description, and evaluation. Data was gathered from Scopus databases between 2000 to 2021, and a final number of 437 publications were retrieved. Road safety and land use were the primary keywords to locate relevant publications and identify their relationship. The analysis included the number of publications, research areas, and keywords for an in-depth evaluation. The result was visualized and bibliographically analyzed by demonstrating the existing occurrences between crucial terms, keywords and research areas. The findings revealed that road safety plays a vital role in significant issues, among others, that relate to land use and urban planning in the particular area associated with road safety. Therefore, it is essential to deliberately consider road safety in the very beginning to ensure that proper future solutions can be implemented through appropriate planning and design that is consistent with the surrounding city.

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“…Burnout is associated with negative outcomes, including health issues and poor work (Useche et al, 2017). Subsequently, health issues may lead to stress and job burnout (Chung & Wong, 2014). Once employees are emotionally exhausted, they are unable to provide services or pay attention to their work needs (Kahaner, 2017).…”

Section: Introductionmentioning

confidence: 99%

The Influence Mechanism of Social Support and Work Stress on Job Burnout of College Teachers

Yanyan,

Xueyan

2024

EUrASEANs

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Based on the Social Support Theory and Person-Environment Fit Theory, this research takes university teachers as the research object and uses literature research, questionnaire surveys, data statistics, structural equations, and other research methods to explore the relationship between social support, work stress, job burnout, and the organizational culture of university teachers under the new situation of implementing the strategy of revitalizing the country through science and education and innovation-driven development strategies. And construct a model of the influencing factors of job burnout among university teachers. The main research conclusions include: social support has a significant negative impact on job burnout, and the impact of organizational support on job burnout is greater than that of external support; work stress has a significant positive impact on job burnout, and hindrance stress has a greater impact on job burnout than challenging stress; social support has a significant negative impact on work stress; and work stress partially mediates the impact of social support on job burnout.

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Investigating the effects of POI-based land use on traffic accidents in Suzhou Industrial Park, China

Cited by 6 publications

References 54 publications

Geospatial Factors Applied to Road Accidents: A Review

Geospatial Factors Applied to Road Accidents: A Review

The Transition of Land Use and Road Safety Studies: A Systematic Literature Review (2000–2021)

The Influence Mechanism of Social Support and Work Stress on Job Burnout of College Teachers

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