Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey

2003 ◽  
Vol 1828 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Monique A. Stinson ◽  
Chandra R. Bhat
Keyword(s):  
Travel Time ◽  
Stated Preference ◽  
Empirical Models ◽  
Policy Implications ◽  
Facility Planning ◽  
Quality Factors ◽  
Stated Preference Survey ◽  
Factors Affecting ◽  
Choice Analysis ◽  
Using Data

The importance of factors affecting commuter bicyclists’ route choices was evaluated. Both route-level (e.g., travel time) and link-level (e.g., pavement quality) factors are examined. Empirical models are estimated using data from a stated preference survey conducted via the Internet. The models indicate that, for commuter bicyclists, travel time is the most important factor in choosing a route. Presence of a bicycle facility (especially a bike lane or separate path), the level of automobile traffic, pavement or riding surface quality, and presence of a bicycle facility on a bridge are also very important determinants. Furthermore, there are policy implications of these results for bicycle facility planning.

Factors affecting desired family size in Bangladesh

1994 ◽  
Vol 26 (3) ◽  
pp. 369-375 ◽  
Author(s):  
M. Kabir ◽  
Ruhul Amin ◽  
Ashraf Uddin Ahmed ◽  
Jamir Chowdhury
Keyword(s):  
Regression Analysis ◽  
Family Size ◽  
Contraceptive Use ◽  
Policy Implications ◽  
Work Status ◽  
Factors Affecting ◽  
Rural Bangladesh ◽  
Contraceptive Prevalence ◽  
Using Data ◽  
Desired Family Size

SummaryFactors affecting desired family size in rural Bangladesh are examined using data from contraceptive prevalence surveys conducted between 1983 and 1991. The analysis suggests that mothers having two sons and one daughter are more inclined to perceive their family as complete than those having three sons and no daughter. Logistic regression analysis indicates that important determinants of desire for more children are age of woman, current contraceptive use status, work status, and family planning worker's visit. The policy implications of these findings are discussed.

scholarly journals E-Groceries: A Channel Choice Analysis in Shanghai

2021 ◽  
Vol 13 (7) ◽  
pp. 3625
Author(s):  
Valerio Gatta ◽  
Edoardo Marcucci ◽  
Ila Maltese ◽  
Gabriele Iannaccone ◽  
Jiarui Fan
Keyword(s):  
Time Window ◽  
Stated Preference ◽  
Heterogeneous Reactions ◽  
Policy Implications ◽  
Delivery Model ◽  
Channel Choice ◽  
Market Shares ◽  
Choice Analysis ◽  
Last Mile ◽  
Last Mile Delivery

E-grocery is becoming more and more popular, involving both pure e-commerce players and physical stores in its development and sales. As a consequence, the last mile delivery model has been heavily modified, with ambiguous final impact on the environment. This paper identifies the key elements germane to e-grocery (demand and supply), discusses e-grocery development and investigates the challenges ahead. In more detail, it presents the results of a stated preference survey on consumers’ channel choices for the grocery market. The survey was carried out in Shanghai (China) in order to investigate different purchase attributes, such as product and delivery service price, product range, lead time, time window and travel time. The paper identifies heterogeneous reactions to alternative service configurations, which allows to estimate market shares for e-grocery, with the in-store option as a reference. Policy implications and operational solutions to improve the sustainability of this renewed last mile delivery model are thus proposed.

scholarly journals Physical Activity in the Daily Life of Adolescents: Factors Affecting Healthy Choices from a Discrete Choice Experiment

2020 ◽  
Vol 17 (18) ◽  
pp. 6860
Author(s):  
Sabina De Rosis ◽  
Ilaria Corazza ◽  
Francesca Pennucci
Keyword(s):  
Physical Activity ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Well Being ◽  
Policy Implications ◽  
Factors Affecting ◽  
Healthy Behaviors ◽  
Long Time ◽  
Using Data

Physical activity improves peoples’ well-being and can help in preventing weight gain, obesity, and related non-communicable diseases. Promoting healthy behaviors in the daily travels and transport choices of adolescents is very important in early establishing healthy habits that imply routine physical activity. For designing and developing effective strategies, it is relevant to study adolescents’ preferences for physical activity and what factors in the social and environmental contexts affect their preferences. The paper investigates these aspects by means of a discrete choice experiment, using data from more than 4300 16–17 year-old adolescents in Italy. The results show that adolescents generally prefer walking for long time alone. However, females prefer cycling, while adolescents from lower educated families prefer motorized means of transport. Environmental factors affect the adolescents’ preferences: living nearby a green area is associated with more active and healthier choices in their short daily travels. Conversely, adolescents living closer to an industrial or high traffic area prefer to use motorized vehicles. Such findings have been discussed and policy implications presented, in order to support policymakers in designing cross-sectoral policies to promote healthy choices related to physical activity in adolescence.

scholarly journals Exploring Technical Quality Factors That Enhance Mobile Learning Applications Services Using Data Mining Techniques

2021 ◽  
Vol 17 (4) ◽  
pp. 1-23
Author(s):  
Ahmad Abu-Al-Aish
Keyword(s):  
Data Mining ◽  
Student Satisfaction ◽  
Mobile Learning ◽  
Interface Design ◽  
Teaching And Learning ◽  
New Technologies ◽  
Quality Factors ◽  
Factors Affecting ◽  
Technical Factors ◽  
Using Data

Mobile learning (m-learning) has become an increasingly attractive solution for schools and universities that utilize new technologies in their teaching and learning setting. This study investigates the technical factors affecting the development of m-learning applications services from students’ perspectives. It presents a model consisting of twelve technical factors, including content usefulness, scalability, security, functionality, accessibility, interface design, interactivity, reliability, availability, trust, responsiveness, and personalization. To evaluate the model, a questionnaire was designed and distributed to 151 students in Jerash University, Jordan. The results indicate that all technical factors have positive affects on learner satisfaction and overall m-learning applications services, however the data mining analysis revealed that security and scalability factors exert a major impact on student satisfaction with m-learning applications services. This study gives insight for the future of developing and design m-learning applications.

scholarly journals Identification of Affecting Factors on the Travel Time Reliability for Bus Transportation

2021 ◽  
Vol 2 (1) ◽  
pp. 19-30
Author(s):  
Ahmed Hassan Mohamed ◽  
Ibrhim A I Adwan ◽  
Abobaker G. F Ahmeda ◽  
Hamza Hrtemih ◽  
Haitham Al-MSari
Keyword(s):  
Travel Time ◽  
Weather Condition ◽  
Policy Implications ◽  
Service Reliability ◽  
Travel Time Reliability ◽  
Affecting Factors ◽  
Traffic Condition ◽  
Factors Affecting ◽  
Transit Agencies ◽  
Bus Transportation

Public bus transit travel time is affected by many factors, including traffic signals and traffic condition. Transit agencies have implemented transit signal priority (TSP) strategies to reduce transit travel time and improve service reliability. However, due to the lack of empirical data, these factors' collective impact and bus travel time strategies have not been studied at the stop-to-stop segment level. This research focuses on the factors affecting travel time reliability, emphasising the variability between operators and the policy implications of such differences. One-way analysis of variance (ANOVA) statistical methods have been used to assess the quality implications of public bus transportation time reliability. This research seeks to investigate the factors affecting the travel time (TT) reliability of bus transport. Studies were conducted along three bus routes serving different areas. Factors strongly related to TT reliability include route length, number of signalised intersections, day of the week, bus stops, departure delays, bus lane, passenger boarding and alighting, weather condition, and fare structure. Based on the proposed model factors affecting TT reliability, it was found that TT is strongly affected by the number of bus stoppings and also the length of the route. The reliability of all three routes during the weekday is low because of delays in departure. The number of signalised intersections along the route affects reliability. Meanwhile, more passengers boarding and paying cash increased the travel time reliability of buses.

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