scispace - formally typeset
Open AccessJournal ArticleDOI

CrowdSC: Building Smart Cities with Large-Scale Citizen Participation

TLDR
The authors describe CrowdSC's process model and evaluate three execution strategies and let users combine data collection, selection, and assessment activities in a crowdsourcing process to achieve sophisticated goals within a predefined context.
Abstract
A platform that connects citizens effectively to local government, letting them contribute to their community's general well-being, would be an elegant way to make cities smarter. CrowdSC is a crowdsourcing framework designed for smarter cities. The framework lets users combine data collection, selection, and assessment activities in a crowdsourcing process to achieve sophisticated goals within a predefined context. Depending upon this process's execution strategy, different outcomes are possible. The authors describe CrowdSC's process model and evaluate three execution strategies.

read more

Citations
More filters
Journal ArticleDOI

Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions

TL;DR: Wang et al. as discussed by the authors proposed an effective large-scale mobile crowd-tasking model in which a large pool of citizen workers are used to perform the last-mile delivery, and formulated it as a network min-cost flow problem and proposed various pruning techniques that can dramatically reduce the network size.
Proceedings ArticleDOI

City Hub: A Cloud-Based IoT Platform for Smart Cities

TL;DR: This paper introduces the general notion of IoT hubs and discusses the work to generalize the IoT hub as a Smart City PaaS, and briefly describes the approach to deploying two cloud-based Smart City hubs.
Journal ArticleDOI

Understanding electronic government research and smart city: A framework and empirical evidence

TL;DR: This paper attempts to answer two research questions: (a) Does e1 utilize city resources and improve local everyday life based on ICT based solutions to today’s innovations?
Journal ArticleDOI

Amplifying Quiet Voices: Challenges and Opportunities for Participatory Design at an Urban Scale

TL;DR: An approach taken to empower socially disadvantaged citizens, using a variety of both social and technological tools, in a Smart City project is described, arguing that engaging citizens can uncover hyper-local concerns that provide a foundation for finding solutions to address citizen concerns.
Journal ArticleDOI

Adoption of building information modeling in Chinese construction industry: The technology-organization-environment framework

TL;DR: Wang et al. as discussed by the authors developed a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry, and collected two different data sets from engineering consulting firms and construction firms in China.
References
More filters
Book ChapterDOI

Smart cities and the future internet: towards cooperation frameworks for open innovation

TL;DR: An analysis of the current landscape of smart city pilot programmes, Future Internet experimentally-driven research and projects in the domain of Living Labs, common resources regarding research and innovation can be identified that can be shared in open innovation environments.
Proceedings ArticleDOI

Soylent: a word processor with a crowd inside

TL;DR: S soylent, a word processing interface that enables writers to call on Mechanical Turk workers to shorten, proofread, and otherwise edit parts of their documents on demand, and the Find-Fix-Verify crowd programming pattern, which splits tasks into a series of generation and review stages.
Proceedings ArticleDOI

CrowdDB: answering queries with crowdsourcing

TL;DR: The design of CrowdDB is described, a major change is that the traditional closed-world assumption for query processing does not hold for human input, and important avenues for future work in the development of crowdsourced query processing systems are outlined.
Proceedings ArticleDOI

GeoCrowd: enabling query answering with spatial crowdsourcing

TL;DR: This paper introduces a taxonomy for spatial crowdsourcing, and focuses on one class of this taxonomy, in which workers send their locations to a centralized server and thereafter the server assigns to every worker his nearby tasks with the objective of maximizing the overall number of assigned tasks.
Journal ArticleDOI

CDAS: a crowdsourcing data analytics system

TL;DR: A quality-sensitive answering model is introduced, which guides the crowdsourcing query engine for the design and processing of the corresponding crowdsourcing jobs, and effectively reduces the processing cost while maintaining the required query answer quality.
Related Papers (5)