Crowdsensing-based transportation services — An analysis from business model and sustainability viewpoints-Reference-Cited by-同舟云学术

Crowdsensing-based transportation services — An analysis from business model and sustainability viewpoints

Published:2016-03 Issue: Volume:18 Page:38-48
ISSN:2210-5395
Container-title:Research in Transportation Business & Management
language:en
Short-container-title:Research in Transportation Business & Management

Author:

Heiskala Mikko,Jokinen Jani-Pekka,Tinnilä Markku

Funder

Aalto University's Energy Efficiency Research Programme

City of Helsinki Innovation Fund

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Strategy and Management,Tourism, Leisure and Hospitality Management,Economics, Econometrics and Finance (miscellaneous),Transportation,Business and International Management,General Decision Sciences

Reference25 articles.

1. Modularity in logistics services — A business model and process view;Bask;International Journal of Services and Operations Management,2011

2. enviroCar: A citizen science platform for analyzing and mapping crowd-sourced car sensor data;Bröring;Transactions in GIS,2015

3. Can innovative business models overcome resistance to electric vehicles? Better place and battery electric cars in Denmark;Budde Christensen;Energy Policy,2012

4. Participatory sensing;Burke,2006

5. Strategies for two-sided markets;Eisenmann;Harvard Business Review,2006

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accumulative cartography: a visual semiotic analysis of online mobile maps;Journal of Computer-Mediated Communication;2024-07-01

2. Configurations of Ambidextrous Innovation and Its Performance Implication in the Context of Digital Transformation;Systems;2024-02-12

3. An Enhanced Multiview Transformer for Population Density Estimation Using Cellular Mobility Data in Smart City;Computers, Materials & Continua;2024

4. Evolution of scientific production on urban passenger transport: A bibliometric analysis;European Research on Management and Business Economics;2024-01

5. Mobile crowdsensing with energy efficiency to control road congestion in internet cloud of vehicles: a review;Multimedia Tools and Applications;2023-11-28