Why Many People Wish to Use Public Transport System: A Case Study in Tripoli-Libya
| المصدر: | مجلة العلوم الإنسانية والعلمية والإجتماعية |
|---|---|
| الناشر: | جامعة المرقب - كلية الآداب والعلوم قصر الأخيار |
| المؤلف الرئيسي: | El mloshi, Adel Ettaieb (Author) |
| المجلد/العدد: | ع2 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2016
|
| الشهر: | ديسمبر |
| الصفحات: | 34 - 57 |
| رقم MD: | 891383 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | AraBase |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Public Transport | Car Ownership | Logistic Regression | Mode Choice and Traffic Congestion
|
| رابط المحتوى: |
عدد مرات التحميل
8
| المستخلص: |
In many cities today, owning a car has become an important and dominant mode of transport. Increasing dominance of own cars as a mode of transport is due to its inherent advantages associated with its usage. In Tripoli, Libya due to rapid increase in car usage associated with poor public transport system has resulted in an increase of traffic congestion, accidents and lack of parking spaces. This study aims to identify the factors preventing owning cars from shifting to public transport system (PT). And to develop model shift from owning cars to public transport in order to formulate policies to achieve this. A policy to enhance public transport system usage and control car ownership simultaneously has become necessary for solving traffic congestion problems. A questionnaire survey was carried out on users of transport in Tripoli such as own car, taxis, microbuses and coaches drivers (n = 900). The probability of car drivers shifting to public transport was examined based on scenario of several options such as reduction in public transport travel time and travel cost. Reduction in total travel time and cost for public transport mode emerged as the most important elements in attracting car users towards using public transport system. Logistic regression technique has been used to analyze the factors that impact users to switch their trips to public transportation alternatives. Statistical Package for Social Science (SPSS) version 19 and Excel 2007 software were used to analyze the questionnaire in this study. |
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