The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Location based services: ongoing evolution and research agenda
Open accessAbstract
We are now living in a mobile information era, which is fundamentally changing science and society. Location Based Services (LBS), which deliver information depending on the location of the (mobile) device and user, play a key role in this mobile information era. This article first reviews the ongoing evolution and research trends of the scientific field of LBS in the past years. To motivate further LBS research and stimulate collective efforts, this article then presents a series of key research challenges that are essential to advance the development of LBS, setting a research agenda for LBS to ‘positively’ shape the future of our mobile information society. These research challenges cover issues related to the core of LBS development (e.g. positioning, modelling, and communication), evaluation, and analysis of LBS-generated data, as well as social, ethical, and behavioural issues that rise as LBS enter into people’s daily lives.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Understanding and Using Context
Dey, A. K. (2001) · Personal and Ubiquitous Computing · doi:10.1007/s007790170019 · Cited by 5,012
Vision based hand gesture recognition for human computer interaction: a survey
Rautaray, S. S., & Agrawal, A. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-012-9356-9 · Cited by 1,526
Urban Computing: Concepts, Methodologies, and Applications
Zheng, Y., Capra, L., Wolfson, O., & Yang, H. (2014) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2629592 · Cited by 1,507
A survey of context modelling and reasoning techniques
Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., & Riboni, D. (2010) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2009.06.002 · Cited by 1,126
There is more to context than location
Schmidt, A., Beigl, M., & Gellersen, H.-W. (1999) · Computers & Graphics · doi:10.1016/s0097-8493(99)00120-x · Cited by 1,083
Geographical information science
Goodchild, M. F. (1992) · International journal of geographical information systems · doi:10.1080/02693799208901893 · Cited by 967
Geospatial big data handling theory and methods: A review and research challenges
Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.10.012 · Cited by 749
Usability of mobile applications: literature review and rationale for a new usability model
Harrison, R., Flood, D., & Duce, D. (2013) · Journal of Interaction Science · doi:10.1186/2194-0827-1-1 · Cited by 736
CityGML – Interoperable semantic 3D city models
Gröger, G., & Plümer, L. (2012) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2012.04.004 · Cited by 736
A Survey of Techniques for Event Detection in Twitter
Atefeh, F., & Khreich, W. (2015) · Computational Intelligence · doi:10.1111/coin.12017 · Cited by 717
Cited by
An attention‐based category‐aware GRU model for the next POI recommendation
Liu, Y., Pei, A., Wang, F., Yang, Y., Zhang, X., Wang, H., Dai, H., Qi, L., & Ma, R. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22412 · Cited by 136
Trackintel: An open-source Python library for human mobility analysis
Martin, H., Hong, Y., Wiedemann, N., Bucher, D., & Raubal, M. (2023) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2023.101938 · Cited by 58
Self-citation
Metadata
- Authors
- Huang, H., Gartner, G., Krisp, J. M., Raubal, M., & Van de Weghe, N.
- Venue
- Journal of Location Based Services
- Publisher
- Informa UK Limited
- Published
- 2018-04-03
- Volume
- 12
- Issue
- 2
- Pages
- 63-93
- ISSN
- 1748-9725 (ISSN-L)
- 1748-9733
- OpenAlex
- W2889079547
- Cited by
- 316
- References
- 88
- FWCI
- 35.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Location based services: ongoing evolution and research agenda. https://app.cochat.ai/papers/10.1080/17489725.2018.1508763
- The paper
- Huang, H., Gartner, G., Krisp, J. M., Raubal, M., & Van de Weghe, N. (2018). Location based services: ongoing evolution and research agenda. Journal of Location Based Services. https://doi.org/10.1080/17489725.2018.1508763
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
