Factors affecting bike-sharing system demand by inferred trip purpose: Integration of clustering of travel patterns and geospatial data analysis

2021 ◽  
pp. 1-14
Author(s):  
Meesung Lee ◽  
Sungjoo Hwang ◽  
Yunmi Park ◽  
Byungjoo Choi
Keyword(s):  
Data Analysis ◽  
Geospatial Data ◽  
Travel Patterns ◽  
Factors Affecting ◽  
Trip Purpose ◽  
Bike Sharing

scholarly journals Shifting to Shared Wheels: Factors Affecting Dockless Bike-Sharing Choice for Short and Long Trips

2020 ◽  
Vol 12 (19) ◽  
pp. 8205 ◽  
Author(s):  
Ioannis Politis ◽  
Ioannis Fyrogenis ◽  
Efthymis Papadopoulos ◽  
Anastasia Nikolaidou ◽  
Eleni Verani
Keyword(s):  
Stated Preference ◽  
Vehicle Ownership ◽  
Factors Affecting ◽  
Demographic Groups ◽  
Trip Purpose ◽  
Shared Mobility ◽  
Attractive Option ◽  
Bike Sharing ◽  
Mode Of Transport ◽  
Willingness To Use

In this paper, we explore users’ intentions to use bike-sharing systems (BSS) compared to traditional competitive transport modes—private car, bus and walking. Fueled by the increasingly rampant growth of shared economy and Information and Communication Technology (ICT), shared mobility is gaining increasing traction. The numbers of shared mobility schemes are rapidly growing worldwide and are accompanied by changes in the traditional vehicle ownership model. In order to pinpoint the factors that strongly affect the willingness to use BSS, a stated preference survey among car and bus users as well as pedestrians was designed and conducted. Binary logit models of the choice between the currently preferred transportation modes and BSSs were developed, for short and long-duration trips, respectively. The results highlight a distinctive set of factors and patterns affecting the willingness to adopt bike-sharing: choice is most sensitive to travel time and cost of the competitive travel options. In general, users are more willing to make the switch to a BSS, especially for short trip durations, when their typical mode of transport becomes more expensive. Bike-sharing also seems to be a more attractive option for certain user socio-demographic groups per mode and trip duration (age, education level, employment status, household income). Trip characteristics such as trip purpose and frequency were also found to affect the willingness to choose BSS. In general, BSS seem to mainly attract bus users and pedestrians, while car users may use BSS more sparingly, mainly for commuting purposes.

scholarly journals Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis

2021 ◽  
Vol 285 ◽  
pp. 116429
Author(s):  
Wen-Long Shang ◽  
Jinyu Chen ◽  
Huibo Bi ◽  
Yi Sui ◽  
Yanyan Chen ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Environmental Benefits ◽  
User Behaviors ◽  
Bike Sharing

scholarly journals Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport

2021 ◽  
Vol 13 (5) ◽  
pp. 2845
Author(s):  
Sara Poveda-Reyes ◽  
Ashwani Kumar Malviya ◽  
Elena García-Jiménez ◽  
Gemma Dolores Molero ◽  
Maria Chiara Leva ◽  
...  
Keyword(s):  
Transport System ◽  
Autonomous Vehicles ◽  
Transport Sector ◽  
Sustainable Society ◽  
Analytic Hierarchy ◽  
Family Responsibilities ◽  
Factors Affecting ◽  
Participation Of Women ◽  
Bike Sharing ◽  
Safe Transport

It is well established that the transport sector is not an equalitarian sector. To develop a sustainable society, a more equalitarian and safe transport system for both users and transport sector employees is needed. This work prioritizes the needs and barriers previously identified as relevant among transport system users and employees for four different transport scenarios (railways, autonomous vehicles (AVs), bicycle-sharing services (BSSs), and employment). The aim of this paper is to prioritize the factors affecting women in these four transport scenarios with the help of a survey followed by the application of mathematical and computational algorithms based on the analytic hierarchy process (AHP) methodology. The identification of factors with higher influence in the fair participation of women in the transport sector will help transport planners, bike-sharing system owners, decision-makers, transport companies, and regulatory professionals to develop measures that could plausibly increase the proportion of women as users of BSSs, users of rail public transport, and AVs, as well as employees in the transport sector for a sustainable society. The results indicated that safety and security were the most challenging factors for railways. Weather, topography, and family responsibilities were shown to have a high influence on the use of BSSs. In the case of autonomous vehicles, the simultaneity and trust in the technology are the main opportunities to influence the acceptance of such vehicles. Finally, for transport employment, caring and parenting responsibilities were the factors that had the largest effect. Some differences in priorities were found for different profiles of women.

Factors Affecting the Production of the Coffee Farming in Uluway Village Mengkendek Sub District Tana Toraja District

2021 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Renatha Mersi ◽  
Ayub Manggala Padangaran ◽  
Fahria Nadiryati Sadimantara
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Land Area ◽  
Coffee Production ◽  
Factors Affecting ◽  
Land Preparation ◽  
Processing Techniques ◽  
Coffee Farming

This study aimed to determine what factors influence coffee production in Uluway Village, Mengkendek Sub District of Tana Toraja District. The research was conducted from March to May 2020 where these factors include land area, labor, fertilizers, and pesticides. This study aimed to determine what factors influence the people's coffee production in Uluway Village, Mengkendek Sub District of Tana Toraja District. The population of this study was all the farmers who cultivated coffee in Uluway Village, Mengkendek Sub District of Tana Toraja District. The sample of this study was 78 respondents who were determined by using the census method. The analytical method used is descriptive qualitative data analysis, the second data analysis using multiple linear regression analysis, and the third. The research results can be drawn from several conclusions, including the coffee farming processing techniques in Uluway Village, namely land preparation, planting, maintenance, harvesting, and postharvest. Factors that have a real effect include land area, fertilizers, and pesticides, while factors that do not affect coffee production are labor

scholarly journals The Effectiveness of Implementing Law Number 23 of 2004 on Elimination of Violence in Household: Case Study in Makassar City

2020 ◽  
Vol 2 (3) ◽  
pp. 1-11
Author(s):  
A. Dewi Vitasari ◽  
Hambali Thalib ◽  
Sufirman Rahman
Keyword(s):  
Data Analysis ◽  
Law Enforcement ◽  
Environmental Factors ◽  
Literature Study ◽  
Factors Affecting ◽  
Analysis Techniques ◽  
Analysis Technique ◽  
Quantitative Data Analysis ◽  
Quantitative Descriptive

This study aims to determine the effectiveness of implementing Law Number 23 of 2004 on Elimination of Violence in Household, as well as the factors that influence its enforcement. This type of research is empirical legal research with a quantitative descriptive in nature. This research was conducted in Makassar City to be precise at the Makassar City Police. The data collection techniques used in this study were questionnaires, documentation, and literature study. The data analysis technique used is quantitative data analysis techniques. The results showed that the implementation of Law No. 23 of 2004 in Makassar City is still considered less effective. Factors affecting the effectiveness of the implementation of Law No. 23 of 2004 in Makassar City consists of several factors, namely: legal factors; law enforcement factors; supporting facility factors; environmental factors; and cultural factors. in addition, environmental factors are the biggest factor affecting the effectiveness of the implementation of Law No. 23 of 2004. It is hoped that the police will further strengthen environmental factors in order to increase the effectiveness of the implementation of Law No. 23 of 2004 in the future.

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