Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA DOI Creative Commons
Felix Zwick, Eva Fraedrich, Kay W. Axhausen

et al.

IET Intelligent Transport Systems, Journal Year: 2022, Volume and Issue: 17(6), P. 1166 - 1181

Published: Oct. 11, 2022

Abstract The mobility provider MOIA operates Europe's largest contiguous electric ride‐pooling service in Hamburg, representing a testbed of how shared and digitized transport can help foster the transformation urban mobility. on‐demand has been operation since 2019 was thus affected by COVID‐19 pandemic 2020. This study shows real‐world insights into travel behavior before during pandemic, contributing to empirical evidence on recent behavior. After application descriptive statistical analyses, several (spatial) regression models are estimated understand relationship between spatial variables demand. trip data from three different time periods used: (a) summer autumn 2019, (b) first lockdown Germany spring 2020, (c) after A significant positive effect demand is observed for number inhabitants, workplaces, gastronomic facilities, at airport all periods. In course main patterns remained stable. However, influences gastronomy diminished contrast, impact hospitals increased pandemic. areas with high car ownership, declined compared pre‐pandemic times.

Language: Английский

Understanding the public's willingness to participate in the Carbon Generalized System of Preferences (CGSP): An innovative mechanism to drive low-carbon behavior in China DOI
Hongyun Si, Na Li,

Xu Duan

et al.

Sustainable Production and Consumption, Journal Year: 2023, Volume and Issue: 38, P. 1 - 12

Published: March 21, 2023

Language: Английский

Citations

33

Factors that determine a university community’s satisfaction levels with public transit services DOI Creative Commons
Muhammad Arif Khan, Ronik Ketankumar Patel,

Apurva Pamidimukkala

et al.

Frontiers in Built Environment, Journal Year: 2023, Volume and Issue: 9

Published: May 4, 2023

Introduction: Universities and other educational institutions across the United States collaborate with service providers to afford their students, faculty, staff transit services, such as dedicated buses, on-demand ridesharing, public transportation. The university community relies on these especially in rural low-density areas without fixed-route services. literature this topic has a wealth of detailed material about travel usage patterns systems, but it little information users’ satisfaction services provided by universities. Method: This study focuses filling gap using descriptive statistics ordered logistic regression determine how satisfied users are what factors associated level satisfaction. Four available University Texas at Arlington served our case studies. Results Discussion: results revealed that most overall. Riders were highly attributes like ease boarding, cleanliness, customer service, vehicle speed four On hand, they least availability wait times findings from may be used provide UTA better mobility accessibility options evaluate levels similar offered communities.

Language: Английский

Citations

25

Investigating Users’ Intention to Re-use Shared Electric Scooters through a Combined Behavioral Model DOI
Yu-Shyun Chien, Chung‐Cheng Lu

Transport Policy, Journal Year: 2025, Volume and Issue: 162, P. 533 - 544

Published: Jan. 2, 2025

Language: Английский

Citations

1

Understanding the behavioral intentions of MaaS during public health events DOI Creative Commons
Hang Luo,

Shoufeng Ma,

Junfang Tian

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 8, 2025

Mobility as a Service (MaaS) integrates various modes of transportation, provides personalized travel services for travelers, and improves the efficiency traditional modes. To examine mechanisms underlying impact sudden public health events on behavioral intentions to use MaaS provide theoretical support sustainable development MaaS, this research investigates Beijing program case. A total 630 questionnaires were collected. Theoretical model, sourced from Unified Theory Acceptance Use Technology (UTAUT) is employed elucidate influence six variables-performance expectancy, effort social influence, ambiguity tolerance, perceived threat, policy cognition-on MaaS. The results show that three variables UTAUT positively intention there significant mediating effect cognition relationship between these use. Travelers with high level tolerance are more inclined while threat reduces intentions. Multigroup analysis revealed differences in Toleance, among groups. findings may guidance empirical evidence promotion strategies formulation related policies.

Language: Английский

Citations

1

The impact of pandemic experiences on future similar situations: analysis of latent variables and trip purposes in ride-hailing choice DOI
Amirhossein Baghestani,

Sahand Heshami,

Alireza Mahpour

et al.

Transportation Planning and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Feb. 3, 2025

Due to the experience and knowledge of individuals since COVID-19, this study aims how people would choose ride-hailing for different trip purposes under similar conditions in future. Data was collected through a stated preference questionnaire choice is then analyzed separately daily, mandatory, discretionary trips using three binary logit models. The importance variables related health concerns like Perceived Threats evident all Results indicate that who prioritize their families are less likely use these services both on mandatory trips. Additionally, systems preferred by students as well women shopping trips, while with high incomes do not them work findings suggest companies offering should focus more measures increase usage times crisis.

Language: Английский

Citations

1

Pricing Decision-Making Considering Ambiguity Tolerance in Consumers: Evidence from Recycled Building Material Enterprises DOI Creative Commons
Jie Peng,

Yuxi Zou,

Hao Zhang

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(2), P. 98 - 98

Published: Feb. 5, 2025

Globally, recycled building materials have attracted much attention, but the ambiguity of use makes it difficult for material remanufacturers (BMRs) to compete with manufacturers (BMMs). Brand is an important strategic tool enterprises increase product competitiveness. From new perspective supply chain, this paper aims examine decision-making behavior under two scenarios consumer neutrality and tolerance analyze impact on pricing decisions chains in a brand-building scenario. This constructs model consisting BMMs BMRs, according cognitive–affective personality system (CAPS) theory through Stackelberg game. The main findings are as follows. (1) Strengthening brand can mitigate negative pricing. selling price positively related tolerance. (2) When BMM has higher value, there U-shaped trend between profit at cost coefficient above threshold value 0.61. (3) BMR negatively operational inefficiencies coefficients below 0.45. Otherwise, profits follow trend. not only expands research also provides theoretical guidance make effective response consumers’ psychology.

Language: Английский

Citations

1

Sustainable decisions in a ridesharing system with a tri-objective optimization approach DOI Creative Commons

Mojgan Safaeian,

Razieh Khayamim, Eren Erman Özgüven

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2023, Volume and Issue: 125, P. 103958 - 103958

Published: Nov. 17, 2023

Language: Английский

Citations

23

A cross-cultural analysis of ridesharing intentions and compliance with COVID-19 health guidelines: The roles of social trust, fear of COVID-19, and trust-in-God DOI Open Access
Md. Nazmus Sakib,

Fuad Hasan,

Md Al-Emran

et al.

Journal of Retailing and Consumer Services, Journal Year: 2022, Volume and Issue: 71, P. 103207 - 103207

Published: Nov. 22, 2022

Language: Английский

Citations

21

Adoption intentions of home-refill delivery service for fast-moving consumer goods DOI
Vincent F. Yu,

Grace Aloina,

Timo Eccarius

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2023, Volume and Issue: 171, P. 103041 - 103041

Published: Feb. 7, 2023

Language: Английский

Citations

12

Sharing Economy DOI Creative Commons
Theodoros Daglis

Encyclopedia, Journal Year: 2022, Volume and Issue: 2(3), P. 1322 - 1332

Published: July 7, 2022

Sharing economy is a new type of economic performance with its main characteristic being the sharing among peers. This can be regarded as economical approach individuals their remainder resources. In this way, there less need for possession resources leading to decrease in redundant production. However, many implications arise from economy.

Language: Английский

Citations

19