IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v103y2017icp106-117.html
   My bibliography  Save this article

A new model for determining the traffic accident black spots using GIS-aided spatial statistical methods

Author

Listed:
  • Dereli, Mehmet Ali
  • Erdogan, Saffet

Abstract

Traffic accidents are one of the important problems in our country as it in the world. The World Health Organization case reports published in 2015 stated that approximately 1.25 million people died each year and more than 50 million people injured as a result of traffic accidents in the world. Considering this situation, it is seen that traffic accidents are mostly human originated and one of the major problems that is negatively affecting life. In this context, many investments and many studies have been performed on the determination of traffic accident black spots to reduce traffic accidents.

Suggested Citation

  • Dereli, Mehmet Ali & Erdogan, Saffet, 2017. "A new model for determining the traffic accident black spots using GIS-aided spatial statistical methods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 106-117.
    • Handle: RePEc:eee:transa:v:103:y:2017:i:c:p:106-117
    DOI: 10.1016/j.tra.2017.05.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856417303233
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2017.05.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Amarasingha, Niranga & Dissanayake, Sunanda, 2013. "Modeling Frequency of Truck Crashes on Limited-Access Highways," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 52(3).
    2. Jones, Andrew P. & Langford, Ian H. & Bentham, Graham, 1996. "The application of K-function analysis to the geographical distribution of road traffic accident outcomes in Norfolk, England," Social Science & Medicine, Elsevier, vol. 42(6), pages 879-885, March.
    3. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arshad Jamal & Muhammad Tauhidur Rahman & Hassan M. Al-Ahmadi & Umer Mansoor, 2019. "The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
    2. Artur I. Petrov & Victor I. Kolesov & Daria A. Petrova, 2021. "Theory and Practice of Quantitative Assessment of System Harmonicity: Case of Road Safety in Russia before and during the COVID-19 Epidemic," Mathematics, MDPI, vol. 9(21), pages 1-33, November.
    3. Yingliu Yang & Lianghai Jin, 2022. "Visualizing Temporal and Spatial Distribution Characteristic of Traffic Accidents in China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    4. Mert Ersen & Ali Hakan Büyüklü & Semra Taşabat Erpolat, 2021. "Analysis of Fatal and Injury Traffic Accidents in Istanbul Sar?yer District with Spatial Statistics Methods," Sustainability, MDPI, vol. 13(19), pages 1-39, October.
    5. Tianzheng Xiao & Huapu Lu & Jianyu Wang & Katrina Wang, 2021. "Predicting and Interpreting Spatial Accidents through MDLSTM," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    6. Bakhtiar Feizizadeh & Davoud Omarzadeh & Ayyoob Sharifi & Abolfazl Rahmani & Tobia Lakes & Thomas Blaschke, 2022. "A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-20, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
    2. Buddhavarapu, Prasad & Bansal, Prateek & Prozzi, Jorge A., 2021. "A new spatial count data model with time-varying parameters," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 566-586.
    3. Bo Yang & Yao Wu & Weihua Zhang & Jie Bao, 2020. "Modeling Collision Probability on Freeway: Accounting for Different Types and Severities in Various LOS," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    4. Dong, Chunjiao & Shao, Chunfu & Clarke, David B. & Nambisan, Shashi S., 2018. "An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 407-428.
    5. Lv, Jinpeng & Lord, Dominique & Zhang, Yunlong & Chen, Zhi, 2015. "Investigating Peltzman effects in adopting mandatory seat belt laws in the US: Evidence from non-occupant fatalities," Transport Policy, Elsevier, vol. 44(C), pages 58-64.
    6. Ye, Wei & Xu, Yueru & Shi, Xiaomeng & Shiwakoti, Nirajan & Ye, Zhirui & Zheng, Yuan, 2024. "A macroscopic safety indicator for road segment: application of entropy theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).
    7. Ruru Xing & Zimu Li & Xiaoyu Cai & Zepeng Yang & Ningning Zhang & Tao Yang, 2023. "Accident Rate Prediction Model for Urban Expressway Underwater Tunnel," Sustainability, MDPI, vol. 15(13), pages 1-28, July.
    8. Ulak, Mehmet Baran & Ozguven, Eren Erman & Spainhour, Lisa & Vanli, Omer Arda, 2017. "Spatial investigation of aging-involved crashes: A GIS-based case study in Northwest Florida," Journal of Transport Geography, Elsevier, vol. 58(C), pages 71-91.
    9. Milhan Moomen & Amirarsalan Mehrara Molan & Khaled Ksaibati, 2023. "A Random Parameters Multinomial Logit Model Analysis of Median Barrier Crash Injury Severity on Wyoming Interstates," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    10. Yan, Ying & Zhang, Ying & Yang, Xiangli & Hu, Jin & Tang, Jinjun & Guo, Zhongyin, 2020. "Crash prediction based on random effect negative binomial model considering data heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    11. Hwachyi Wang & S. K. Jason Chang & Hans De Backer & Dirk Lauwers & Philippe De Maeyer, 2019. "Integrating Spatial and Temporal Approaches for Explaining Bicycle Crashes in High-Risk Areas in Antwerp (Belgium)," Sustainability, MDPI, vol. 11(13), pages 1-28, July.
    12. Sun, Chenshuo & Pei, Xin & Hao, Junheng & Wang, Yewen & Zhang, Zuo & Wong, S.C., 2018. "Role of road network features in the evaluation of incident impacts on urban traffic mobility," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 101-116.
    13. Buckley, Cathal & Howley, Peter & Jordan, Phil, 2015. "The role of differing farming motivations on the adoption of nutrient management practices," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(4), July.
    14. Kojiro Matsuo & Kosuke Miyazaki & Nao Sugiki, 2022. "A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes," IJERPH, MDPI, vol. 19(21), pages 1-16, October.
    15. Hana Naghawi, 2018. "Negative Binomial Regression Model for Road Crash Severity Prediction," Modern Applied Science, Canadian Center of Science and Education, vol. 12(4), pages 1-38, April.
    16. Rose Luke, 2023. "Current and Future Trends in Driver Behaviour and Traffic Safety Scholarship: An African Research Agenda," IJERPH, MDPI, vol. 20(5), pages 1-23, February.
    17. Guilong Xu & Jinliang Xu & Chao Gao & Rishuang Sun & Huagang Shan & Yongji Ma & Jinsong Ran, 2022. "A Novel Safety Assessment Framework for Pavement Friction Evolution Due to Traffic on Horizontal Curves," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    18. Chen Chen & Feng Guo, 2016. "Evaluating the influence of crashes on driving risk using recurrent event models and Naturalistic Driving Study data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(12), pages 2225-2238, September.
    19. Yajie Zou & Xinzhi Zhong & Jinjun Tang & Xin Ye & Lingtao Wu & Muhammad Ijaz & Yinhai Wang, 2019. "A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife?Vehicle Crash Analysis," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    20. Dongkwan Lee & Jean-Michel Guldmann & Burkhard von Rabenau, 2018. "Interactions between the built and socio-economic environment and driver demographics: spatial econometric models of car crashes in the Columbus Metropolitan Area," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(1), pages 17-37, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:103:y:2017:i:c:p:106-117. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.