Exploratory Data Analysis of Electric Tricycle as Sustainable Public Transport Mode in General Santos City Using Logistic Regression

被引:1
|
作者
Cueto, Geoffrey L. [1 ]
Aldrine, Francis A. [1 ]
Diaz, Keith A. [1 ]
Monjardin, Cris Edward F. [1 ]
机构
[1] Mapua Univ, Sch Civil Environm & Geol Engn, Muralla St Intramuros, Manila 1002, Philippines
关键词
E-tricycle; exploratory data analysis; !text type='python']python[!/text; logistic regression; sustainable public transport;
D O I
10.1109/SusTech53338.2022.9794199
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
General Santos City, as the tuna capital of the Philippines, relies with the presence of tricycles in moving people and goods. Considered as a highly-urbanized city, General Santos City serves as vital link of the entire SOCKSARGEN region's economic activities. With the current thrust of the city in providing a sustainable transport service, several options were identified to adopt in the entire city, that includes cleaner and better transport mode. Electric tricycle is an after sought alternative that offers better choice in terms of identified factors of sustainable transport: reliability, safety, comfort, environment, affordability, and facility. A literature review was conducted to provide a comparison of cost and emission between a motorized tricycle and an e-tricycle. The study identified the existing tricycle industry of the city and reviewed the modal share with the city's travel pattern. Actual roadside and onboard survey were conducted both to passengers and drivers from the identified terminal to their destination. The survey revealed a number of hazards were with the current motorized tricycle that needs to address for the welfare of the passengers and drivers. With the application of exploratory data analysis using Python program, the study favors the shift to adopting E-tricycle. The model derived from binary logistics regression provided a 72.72% model accuracy. Based from the results and findings, electric tricycle can be an alternative mode of public transport in the city that highly support sustainable option that provides local populace to improve their quality of life through mobility and economic activity. Further recommendation to local policy makers in the transport sector of the city include the clustering of barangays for better traffic management and franchise regulation, the inclusion of transport-related infrastructure related to tricycle service with their investment planning and programming, the roll out and implementation of tricycle code of the city, and the piloting activity of introducing e-tricycle in the city.
引用
收藏
页码:57 / 64
页数:8
相关论文
共 5 条
  • [1] Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model
    Abubakr A. A. Alsharif
    Biswajeet Pradhan
    [J]. Journal of the Indian Society of Remote Sensing, 2014, 42 : 149 - 163
  • [2] Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model
    Alsharif, Abubakr A. A.
    Pradhan, Biswajeet
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 42 (01) : 149 - 163
  • [3] GIS-Based Commute Analysis Using Smart Card Data: A Case Study of Multi-Mode Public Transport for Smart City
    Zhou, Yuyang
    Yao, Lin
    Jiang, Yu
    Chen, Yanyan
    Gong, Yi
    [J]. GEO-INFORMATICS IN RESOURCE MANAGEMENT AND SUSTAINABLE ECOSYSTEM, 2016, 569 : 83 - 94
  • [4] Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data
    Cebecauer, Matej
    Gundlegard, David
    Jenelius, Erik
    Burghout, Wilco
    [J]. 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 2543 - 2548
  • [5] Discriminating between adaptive and carcinogenic liver hypertrophy in rat studies using logistic ridge regression analysis of toxicogenomic data: The mode of action and predictive models
    Liu, Shujie
    Kawamoto, Taisuke
    Morita, Osamu
    Yoshinari, Kouichi
    Honda, Hiroshi
    [J]. TOXICOLOGY AND APPLIED PHARMACOLOGY, 2017, 318 : 79 - 87