MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "ce392c7b-36a4-4aca-beeb-ae1d4d2f135e"}, "_deposit": {"created_by": 21, "id": "8154", "owner": "21", "owners": [21], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8154"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008154", "sets": ["1582963436320", "1707206634013"]}, "author_link": [], "control_number": "8154", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This study intended to investigate the impact of contributing factors influencing \nthe pedestrian-vehicle crash severity. Data were collected from the pedestrian-vehicle \ncrash records from traffic accident records of No (2) Office of Traffic Police (Yangon), \ncovering the year 2015 to 2019. Descriptive statistics and multinomial logit model were \napplied in this study. By the descriptive analysis, 24 percent of pedestrians were fatal, \n26 percent were serious injury and 50 percent were non-serious injury. According to \nthe results of multinomial logistic regression analysis, the contributing factors such as \npedestrian gender, age and mode, driver driving behavior, location type, crash partner \nand time of collision were affected to the pedestrian- vehicle crash severity. According \nto pedestrian gender, male pedestrians were more likely to be fatal rather than female \npedestrians. The old pedestrians over 50 years were more likely to be serious injury and \nmiddle age pedestrians between 25 and 50 years old were likely to be non-serious \ninjury. Based on the result of pedestrian mode, crossing mode were more likely to be \nserious injury rather than the other modes. The reckless, speeding and inexperience \ndriving of drivers were likely to be non-serious injury while the other or unknown \ndriving behaviors might affect the fatal severity of pedestrians. Moreover, pedestrians \nwere more likely to be fatal at non-junction location type rather than junction. By the \nresult of crash partner, car and motorcycle were likely to be non-serious injury than the \nother or unknown vehicles. By the result of time of collision, pedestrians were suffered \nserious injury at the other off peak times although they were more likely to be nonserious injury at AM peak"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-01-18"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Htet Htet Htay, M.Econ(Stats) 26.pdf", "filesize": [{"value": "400 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 400000.0, "url": {"url": "https://meral.edu.mm/record/8154/files/Htet Htet Htay, M.Econ(Stats) 26.pdf"}, "version_id": "2811b5b6-06c2-4d2f-85e8-d1da717ea4aa"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Daw Aye Aye Phyu"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Htet Htet Htay"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2021-01-01"}, "item_title": "Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021)", "item_type_id": "21", "owner": "21", "path": ["1582963436320", "1707206634013"], "permalink_uri": "https://meral.edu.mm/records/8154", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2022-01-18"}, "publish_date": "2022-01-18", "publish_status": "0", "recid": "8154", "relation": {}, "relation_version_is_last": true, "title": ["Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021)"], "weko_shared_id": -1}
Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021)
https://meral.edu.mm/records/8154
https://meral.edu.mm/records/81547a861f51-652d-4884-b712-91570674fc07
ce392c7b-36a4-4aca-beeb-ae1d4d2f135e
Name / File | License | Actions |
---|---|---|
Htet Htet Htay, M.Econ(Stats) 26.pdf (400 KB)
|
Publication type | ||||||
---|---|---|---|---|---|---|
Thesis | ||||||
Upload type | ||||||
Other | ||||||
Title | ||||||
Title | Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021) | |||||
Language | en | |||||
Publication date | 2021-01-01 | |||||
Authors | ||||||
Htet Htet Htay | ||||||
Description | ||||||
This study intended to investigate the impact of contributing factors influencing the pedestrian-vehicle crash severity. Data were collected from the pedestrian-vehicle crash records from traffic accident records of No (2) Office of Traffic Police (Yangon), covering the year 2015 to 2019. Descriptive statistics and multinomial logit model were applied in this study. By the descriptive analysis, 24 percent of pedestrians were fatal, 26 percent were serious injury and 50 percent were non-serious injury. According to the results of multinomial logistic regression analysis, the contributing factors such as pedestrian gender, age and mode, driver driving behavior, location type, crash partner and time of collision were affected to the pedestrian- vehicle crash severity. According to pedestrian gender, male pedestrians were more likely to be fatal rather than female pedestrians. The old pedestrians over 50 years were more likely to be serious injury and middle age pedestrians between 25 and 50 years old were likely to be non-serious injury. Based on the result of pedestrian mode, crossing mode were more likely to be serious injury rather than the other modes. The reckless, speeding and inexperience driving of drivers were likely to be non-serious injury while the other or unknown driving behaviors might affect the fatal severity of pedestrians. Moreover, pedestrians were more likely to be fatal at non-junction location type rather than junction. By the result of crash partner, car and motorcycle were likely to be non-serious injury than the other or unknown vehicles. By the result of time of collision, pedestrians were suffered serious injury at the other off peak times although they were more likely to be nonserious injury at AM peak |
||||||
Thesis/dissertations | ||||||
Yangon University of Economics | ||||||
Daw Aye Aye Phyu |