Understanding the behavioral intention of the rural population to use demand-responsive transport services

被引:3
作者
Schasche, Stephanie E. [1 ]
Wankmueller, Christian [1 ]
Hampl, Nina [2 ]
机构
[1] Univ Klagenfurt, Dept Operat Energy & Environm Management, Univ Str 65-67, A-9020 Klagenfurt, Austria
[2] Karl Franzens Univ Graz, Dept Environm Syst Sci, Merangasse 18, A-8010 Graz, Austria
关键词
Demand -responsive transport services; Rural areas; User acceptance; Unified theory of acceptance and use of; technology; PUBLIC TRANSPORT; UNIFIED THEORY; INFORMATION-TECHNOLOGY; CAR OWNERSHIP; ACCEPTANCE; TRAVEL; SUSCEPTIBILITY; DEPENDENCE; MOBILITY; DECISION;
D O I
10.1016/j.trip.2023.100984
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Global efforts to reduce carbon emissions include endeavors to raise the use of public transport means. In rural areas, this poses a distinctive challenge. Demand-responsive transport (DRT) services are a form of public transport that is regarded as a potential contribution to the required mobility behavior change. They mainly utilize small floor buses and require a pre-booking of each trip (via internet, app or telephone). Despite the growing number of active DRT services and trial operations, occupation numbers remain small. To understand this gap, this study investigates latent constructs that influence the behavioral intention of inhabitants living in rural regions to use DRT services. For this purpose, a questionnaire based on the Unified Theory of Acceptance and Use of Technology was adapted, tested independently through an exploratory factor analysis and distributed in Austria. The sample (n = 186) was subjected to a structural equation model. Results show that performance expectancy and attitude towards public transport have a significant impact on the behavioral intention of inhabitants to use DRT services in rural regions, whereas the attitude towards private cars was insignificant. Inter alia, we suggest concentrating on the determination of people's specific everyday mobility needs in rural areas, analyzing and optimizing the public transport offer as an interrelated system, and communicating its benefits more efficiently.
引用
收藏
页数:11
相关论文
共 50 条
[41]   ANTECEDENTS OF BEHAVIORAL INTENTION TO USE ONLINE FOOD DELIVERY SERVICES: AN EMPIRICAL INVESTIGATION [J].
Vinish, P. ;
Pinto, Prakash ;
Hawaldar, Iqbal Thonse ;
Pinto, Slima .
INNOVATIVE MARKETING, 2021, 17 (01) :1-15
[42]   Understanding the moderating roles of types of recommender systems and products on customer behavioral intention to use recommender systems [J].
Wang, Yen-Yao ;
Luse, Andy ;
Townsend, Anthony M. ;
Mennecke, Brian E. .
INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 2015, 13 (04) :769-799
[43]   "Everything cannot be handled virtually": Understanding intention and use of digital health technologies among rural adults and rural cancer survivors [J].
Shi, Jenna ;
Robinson, Ty A. ;
Loomba, Preena ;
Murley, Brittany ;
Strong, Larkin L. ;
Basen-Engquist, Karen ;
Mama, Scherezade K. .
JOURNAL OF RURAL HEALTH, 2025, 41 (01)
[44]   Potential Benefits of Demand Responsive Transport in Rural Areas: A Simulation Study in Lolland, Denmark [J].
Dytckov, Sergei ;
Persson, Jan A. ;
Lorig, Fabian ;
Davidsson, Paul .
SUSTAINABILITY, 2022, 14 (06)
[45]   Impact assessment of autonomous demand responsive transport as a link between urban and rural areas [J].
Schlueter, Jan ;
Bossert, Andreas ;
Roessy, Philipp ;
Kersting, Moritz .
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2021, 39
[46]   Factors Influencing University Students' Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China [J].
Yu, Teng ;
Zhang, Yajun ;
Teoh, Ai Ping ;
Wang, Anchao ;
Wang, Chengliang .
SAGE OPEN, 2023, 13 (04)
[47]   Demand Responsive Transport in Italian rural areas: state of the art of technical characteristics and level of innovation of 35 case studies [J].
Pavanini, Tiziano .
REVISTA DE ESTUDIOS ANDALUCES, 2023, (45) :123-145
[48]   Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach [J].
Shiau, Wen-Lung ;
Chau, Patrick Y. K. .
INFORMATION & MANAGEMENT, 2016, 53 (03) :355-365
[49]   Understanding Behavioral Intention to Use of Air Quality Monitoring Solutions with Emphasis on Technology Readiness [J].
Aini, Qurotul ;
Manongga, Danny ;
Rahardja, Untung ;
Sembiring, Irwan ;
Li, Yung-Ming .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2025, 41 (08) :5079-5099
[50]   Understanding the Predictors of Rural Customers' Continuance Intention toward Mobile Banking Services Applications during the COVID-19 Pandemic [J].
Al Amin, Md. ;
Arefin, Md. Shamsul ;
Alam, Md. Shariful ;
Rasul, Tareq Faizur .
JOURNAL OF GLOBAL MARKETING, 2022, 35 (04) :324-347