Smart City Gnosys

Smart city article details

Title	Analysis And Evaluation Of Geospatial Factors In Smart Cities: A Study Of Off-Street Parking In Mainz, Germany
ID_Doc	9063
Authors	Rolwes A.; Böhm K.
Year	2021
Published	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 46, 4/W1-2021
DOI	http://dx.doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-97-2021
Abstract	Geospatial data often build the basis for planning decisions in smart cities. In the decision-making process, geospatial relationships have not yet been fully considered and represented. The aim of our research is to investigate these geospatial relationships. This paper presents a four-step process to identify geospatial key factors in smart city use cases. We further develop and evaluate an existing metric to measure the impact of geospatial factors in urban area. For this, we use three variables to characterise distance decay, opening hours and an attractiveness weight for customers depends on the use case. The use case of this study is off-street parking over a period of four years in Mainz, Germany. The results show temporal relationships between parking and geospatial factors. Consequently, our research indicates the impact of different factors on car parks. This knowledge enriches decisions for sustainable planning in cities. © 2021 International Society for Photogrammetry and Remote Sensing. All rights reserved.
Author Keywords	big data; geo analytics; geospatial analysis; metric of geospatial impact; smart city planning

Similar Articles

Id	Similarity	Authors	Title	Published
9017	0.931	Rolwes A.; Radu P.; Böhm K.	Analysing And Identifying Geospatial Key Factors In Smart Cities – Model Enhancements In The Use Case Of Carpark Occupancy	GI_Forum, 10, 2 (2022)
8627	0.892	Mobasheri A.	An Introduction To Open Source Geospatial Science For Urban Studies	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021)
27978	0.881	Jing C.; Du M.; Li S.; Liu S.	Geospatial Dashboards For Monitoring Smart City Performance	Sustainability (Switzerland), 11, 20 (2019)
14519	0.88	Wu F.; Ma W.	Clustering Analysis Of The Spatio-Temporal On-Street Parking Occupancy Data: A Case Study In Hong Kong	Sustainability (Switzerland), 14, 13 (2022)
9501	0.878	Roussel C.; Rolwes A.; Böhm K.	Analyzing Geospatial Key Factors And Predicting Bike Activity In Hamburg	Lecture Notes on Data Engineering and Communications Technologies, 143 (2022)
9553	0.875	Sharma P.; Singh R.; Srivastava A.	Analyzing The Role Of Geospatial Technology In Smart City Development	Urban Book Series (2021)
50480	0.872	Ko E.; Jeong G.S.; Koo K.C.	Smart City Service Analysis Based On Geospatial Information Technology Life Cycle	ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings (2023)
28684	0.871	Weng Q.; Yoo C.	Handbook Of Geospatial Approaches To Sustainable Cities	Handbook of Geospatial Approaches to Sustainable Cities (2024)
14765	0.869	Blaschke T.; Hay G.J.; Weng Q.; Resch B.	Collective Sensing: Integrating Geospatial Technologies To Understand Urban Systems-An Overview	Remote Sensing, 3, 8 (2011)
6068	0.869	Costa D.G.; Bittencourt J.C.N.; Oliveira F.; Peixoto J.P.J.; Jesus T.C.	Achieving Sustainable Smart Cities Through Geospatial Data-Driven Approaches	Sustainability (Switzerland), 16, 2 (2024)