Sustainable co-governance of smart bike-sharing schemes based on consumers' perspective

被引:13
作者
Chen, Haiyun [1 ]
Zhu, Ting [2 ]
Huo, Jiazhen [1 ]
Andre, Habisch [3 ]
机构
[1] Tongji Univ, Sch Econ & Management, Zhangwu 1, Shanghai 200092, Peoples R China
[2] Shanghai Univ, Sch Econ, Shangda Rd 99, Shanghai 200444, Peoples R China
[3] Catholic Univ Eichstaett Ingolstadt, Fac Business & Econ, Schanz 49, D-85049 Ingolstadt, Germany
关键词
Sharing economy; Bike-sharing; Public participation; Willingness; Co-governance; SERVICE QUALITY; MODEL; PATTERNS; BEHAVIOR; ECONOMY; SYSTEMS; USAGE; OPTIMIZATION; SATISFACTION; MANAGEMENT;
D O I
10.1016/j.jclepro.2020.120949
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Smart bike-sharing Schemes (Smart BSSs) have gained much attention with the tide of sharing economy. The unprecedented development of Smart BSSs results in considerable socioeconomic and environmental benefits but also creates new urban governance issues. Previous studies have mostly explored from the perspective of policy and market, but few literature tried to analyze the relationship between different stakeholders and their influence factors from the perspective of consumers. Therefore, the latter will be the focus of this study. 2095 valid online questionnaires were collected through online data collection platform and social media. Conceptual framework, Variable set, descriptive statistics, correlation and regression analysis methods were designed step by step. Study results showed that the consumers' willingness to participate in co-governance of Smart BSSs is significant and the influence factors presented the diverse characteristics. Finally, this study provided the multi-path solutions for the further co-government. For consumers, positive participation in co-governance of Smart BSSs; For the government and urban managers, it is necessary to constantly optimize related institutional arrangements; For Smart BSSs enterprises, how to adopt rational market behaviors and improve service level will become the key. The study, one the one hand, is devoted to contribute important empirical materials for the in-depth discussion of sharing economy, on the other hand, will provide potential route choices for the further optimization of institutional arrangements in co-governance of Smart BSSs in the future. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:8
相关论文
共 82 条
[52]   Performing the sharing economy [J].
Richardson, Lizzie .
GEOFORUM, 2015, 67 :121-129
[53]   The sharing economy: A comprehensive business model framework [J].
Ritter, M. ;
Schanz, H. .
JOURNAL OF CLEANER PRODUCTION, 2019, 213 :320-331
[54]   What factors influence bike share ridership? An investigation of Hamilton, Ontario's bike share hubs [J].
Scott, Darren M. ;
Ciuro, Celenna .
TRAVEL BEHAVIOUR AND SOCIETY, 2019, 16 :50-58
[55]   Understanding the usage of dockless bike sharing in Singapore [J].
Shen, Yu ;
Zhang, Xiaohu ;
Zhao, Jinhua .
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION, 2018, 12 (09) :686-700
[56]   Study on the Bike-sharing Inventory Rebalancing and Vehicle Routing for Bike-sharing System [J].
Shi, Lei ;
Zhang, Yong ;
Rui, Weina ;
Yang, Xinzheng .
3RD INTERNATIONAL CONFERENCE GREEN CITIES - GREEN LOGISTICS FOR GREENER CITIES, 2019, 39 :624-633
[57]   Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior [J].
Si, Hongyun ;
Shi, Jian-gang ;
Tang, Daizhong ;
Wu, Guangdong ;
Lan, Jing .
RESOURCES CONSERVATION AND RECYCLING, 2020, 152
[58]   How Policy Rules Shape the Structure and Performance of Collaborative Governance Arrangements [J].
Siddiki, Saba N. ;
Carboni, Julia L. ;
Koski, Chris ;
Sadiq, Abdul-Akeem .
PUBLIC ADMINISTRATION REVIEW, 2015, 75 (04) :536-547
[59]   QUALITY OF SERVICE OPTIMIZATION IN AN IOT-DRIVEN INTELLIGENT TRANSPORTATION SYSTEM [J].
Sodhro, Ali Hassan ;
Obaidat, Mohammad S. ;
Abbasi, Qammer H. ;
Pace, Pasquale ;
Pirbhulal, Sandeep ;
Yasar, Ansar-Ul-Haque ;
Fortino, Giancarlo ;
Imran, Muhammad Ali ;
Qaraqe, Marwa .
IEEE WIRELESS COMMUNICATIONS, 2019, 26 (06) :10-17
[60]   An adaptive QoS computation for medical data processing in intelligent healthcare applications [J].
Sodhro, Ali Hassan ;
Malokani, Abdul Sattar ;
Sodhro, Gul Hassan ;
Muzammal, Muhammad ;
Zongwei, Luo .
NEURAL COMPUTING & APPLICATIONS, 2020, 32 (03) :723-734