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Correlation Study of Environmental Impacts of Highways Based on DPSIR and X-Matrix

  • Xiaoning Wang*
  • , Tonghua Fu
  • , Xinshuang Gao
  • , Xiongwei Tu
  • , Peng Liu
  • *Corresponding author for this work
  • Jinan Urban Construction Group Co. Ltd.
  • Harbin Institute of Technology
  • Jinan Traffic Engineering Quality and Safety Center
  • Jinan Jinnuo Highway Engineering Supervision Company Limited

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to further clarify the types and strengths of the relationships among driving force, pressure, state, and influence in the DPSIR model of highway engineering, the driving force-pressure correlation, pressure-state correlation, state-influence correlation, and pressure-influence correlation of Shandong Province’s S103 Tourist Highway have been investigated by integrating the DPSIR framework with the X-Matrix matrix. According to the DPSIR model framework, based on the actual highway engineering and data availability, the driving force indicators are selected as economic development indicators, population indicators, tourism development indicators, traffic forecast indicators, the pressure indicators are selected as social pressure and environmental pressure, the state indicators are selected as social environment, water environment, atmospheric environment, and noise environment, the impact indicators are selected as ecological environmental protection and restoration cost, environmental pollution control cost, potential loss caused by environmental damage, response indicators are selected to rationalize the use of terrain, strengthen the protection of water bodies, take measures to reduce dust, and control sound and light pollution. Integration of the DPSIR framework with the X-Matrix matrix, standardization of the data using the Z-score normalization method, and Pearson correlation analysis using IBM SPSS Statistics 22.0 were performed. The results showed that there was a low correlation between stress and drive, a medium-strength correlation between stress and affect, and a medium-strength correlation between affect and state. Therefore, in terms of response, depending on the degree and nature of the relationship between the indicators and the impact indicators, response strategies can be targeted to minimize environmental impacts as well as to restore the state of the environment.

Original languageEnglish
Title of host publicationResilience Transportation and Mobility Safety
EditorsWuhong Wang, Yusheng Ci, Xiaowei Hu, Haiqiu Tan, Min Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages485-497
Number of pages13
ISBN (Print)9789819586196
DOIs
StatePublished - 2026
Event16th International Conference on Green Intelligent Transportation System and Safety, GITSS 2025 - Shanghai, China
Duration: 9 May 202511 May 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1607 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference16th International Conference on Green Intelligent Transportation System and Safety, GITSS 2025
Country/TerritoryChina
CityShanghai
Period9/05/2511/05/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Environmental Impact Assessment Criteria
  • Environmental Impact Assessment Indicators
  • Highway
  • Transportation Environment

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