How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia

被引:9
作者
Butler, Luke [1 ]
Yigitcanlar, Tan [1 ]
Paz, Alexander [2 ]
Areed, Wala [2 ]
机构
[1] Queensland Univ Technol, Sch Architecture & Built Environm, City 4 0 Lab, 2 George St, Brisbane, Qld 4000, Australia
[2] Queensland Univ Technol, Sch Civil & Environm Engn, 2 George St, Brisbane, Qld 4000, Australia
关键词
Smart mobility; Mobility-as-a-service (MaaS); Transport disadvantage; Public transport; First; last mile gap; Australia; AS-A-SERVICE; PRIVATE CAR; TRANSPORT; MODELS; KNOWLEDGE; DISTANCE; OPTIONS; ACCESS; TRAVEL; SPACE;
D O I
10.1016/j.jtrangeo.2022.103452
中图分类号
F [经济];
学科分类号
02 ;
摘要
Under the umbrella concept of smart mobility, new transport innovations such as peer-to-peer transport, shared autonomous vehicles, and mobility-as-a-service have been identified for their potential to improve accessibility and bridge the first/last-mile gap between origin, destination, and good quality public transport. Any future mobility plan, nevertheless, will need to appeal to a population reluctant to break habits. This study explores quantitative data collected from major Australian cities to provide a geographic context between attitudes to-wards smart mobility with a particular focus on eight attitudinal factors-i.e., technology, public transport, sharing, multimodality, peer-to-peer transport, smart phones and apps, environmental consciousness, and reducing private vehicle use. The quantitative analysis disclosed that regardless of location, overcoming private vehicle use, user aversion to multimodality, and reluctance to share rides with strangers' presence significant barriers to some smart mobility options. Furthermore, respondents in inner ring areas of cities have more positive views towards public transport, the environment, and smart phones, while the middle/outer ring residents on the contrary have more positive views towards private vehicles. The study findings offer policy insights and potential opportunities and challenges associated with the implementation of smart mobility in urban areas.
引用
收藏
页数:15
相关论文
共 72 条
[1]   Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars [J].
Acheampong, Ransford A. ;
Cugurullo, Federico .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 :349-375
[2]   Approximate multi-objective optimization for integrated bus route design and service frequency setting [J].
Ahern, Zeke ;
Paz, Alexander ;
Corry, Paul .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2022, 155 :1-25
[3]   Drivers and barriers in adopting Mobility as a Service (MaaS) - A latent class cluster analysis of attitudes [J].
Alonso-Gonzalez, Maria J. ;
Hoogendoorn-Lanser, Sascha ;
van Oort, Niels ;
Cats, Oded ;
Hoogendoorn, Serge .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 132 :378-401
[4]   Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach [J].
Arteaga, Cristian ;
Paz, Alexander ;
Park, JeeWoong .
SAFETY SCIENCE, 2020, 132
[5]  
Australian Bureau of Statistics (ABS), 2021, US
[6]   Climate change awareness: Empirical evidence for the European Union* [J].
Baiardi, Donatella ;
Morana, Claudio .
ENERGY ECONOMICS, 2021, 96
[7]   Understanding attitudes towards public transport and private car: A qualitative study [J].
Beirao, Gabriela ;
Cabral, J. A. Sarsfield .
TRANSPORT POLICY, 2007, 14 (06) :478-489
[8]  
Biyik C., 2021, J. Open Innov. Technol. Mark. Complex., V7, P146, DOI [10.3390/joitmc7020146, DOI 10.3390/JOITMC7020146]
[9]   First/last mile transit access as an equity planning issue [J].
Boarnet, Marlon G. ;
Giuliano, Genevieve ;
Hou, Yuting ;
Shin, Eun Jin .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2017, 103 :296-310
[10]   Autonomous Shuttle-as-a-Service (ASaaS): Challenges, Opportunities, and Social Implications [J].
Bucchiarone, Antonio ;
Battisti, Sandro ;
Marconi, Annapaola ;
Maldacea, Roberto ;
Ponce, Diego Cardona .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (06) :3790-3799