Analysis and Evaluation of Geospatial Factors in Smart Cities: A Study of Off-Street Parking in Mainz, Germany

Rolwes, Alexander; Böhm, Klaus

doi:10.5194/isprs-archives-xlvi-4-w1-2021-97-2021

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…The research site of this study was Mainz, Germany. Our work used existing research about spatio-temporal correlation results between parking and geospatial factors, on the one hand, and the different steps of the geo-analysis process for calculating the geospatial factors on the other hand [2,3]. The existing process to measure the impact of geospatial factors in urban use cases examines a mathematical variable as a metric of geospatial impact [2]:…”

Section: Study Area and Data Basismentioning

confidence: 99%

“…Calculated together, the POI result in a common density (x ij = ρ ij ) of each geospatial factor around every carpark. For more background information, refer to the work of Rolwes and Böhm [2]. The associated challenge was to explain the complex analytical process in a comprehensible way for domain experts.…”

Section: Study Area and Data Basismentioning

confidence: 99%

“…This information refers to data related to specific locations and points of interest (POI). Examples of geospatial information include healthcare facilities, recreational activities, or restaurants [2]. The calculation of geospatial factors includes, for example, the density or accessibility of shopping facilities, availability of health care, leisure activities, etc.…”

Section: Introductionmentioning

confidence: 99%

“…The calculation of geospatial factors includes, for example, the density or accessibility of shopping facilities, availability of health care, leisure activities, etc. In addition, non-geospatial parameters such as opening hours also play a central role [2,3], (see also Section 3). Both characterize the direct environment of carparks, to determine a measurable impact.…”

Section: Introductionmentioning

confidence: 99%

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Explanation and Analysis of Spatio-Temporal Correlations—Towards a Conceptual Approach of a Semantic Comparison Visualization in a Use Case of Carparks in Mainz, Germany

Rolwes,

Böhm

2023

IJGI

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Geospatial factors, because of their spatio-temporal correlations with demand-driven limited service, offer to improve urban planning decisions and expand the knowledge base in cities. Spatio-temporal analyses require an efficient and comprehensible visualization and explanation in order to analyze and understand geospatial relationships in urban areas. The aim of our research is to support domain experts in these analyses with user-oriented geovisualization. In this article, we propose concepts towards a semantic comparison visualization, which combines a visual analysis view and a visual explanation view. The visual analysis view is a knowledge-oriented view that focuses on analyzing resulting spatio-temporal correlations. The visual explanation view is an understanding-oriented view that focuses on explaining the underlying complex analysis process of geospatial factors and spatio-temporal correlations. We define general requirements for this aim and validate and evaluate our concepts related to these requirements. The results show the benefit of our concepts, but, at the same time, they also point to limitations and potential for optimization in further work.

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Section: Study Area and Data Basismentioning

confidence: 99%

Section: Study Area and Data Basismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Explanation and Analysis of Spatio-Temporal Correlations—Towards a Conceptual Approach of a Semantic Comparison Visualization in a Use Case of Carparks in Mainz, Germany

Rolwes,

Böhm

2023

IJGI

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“…Priority Villages version 2.0 integrates the geospatial and citizen participation using the Geographic Information System (GIS) for the smart city planning model. Rolwes et al (2021) have shown that the use of geospatial data often builds the basis for planning decisions in smart cities.…”

Section: Introductionmentioning

confidence: 99%

Integration of Geospatial and Citizen Participation Using Geographic Information System for Smart City: A Study of Priority Villages Program in Jakarta, Indonesia

Anugraha¹,

Erdiza²,

Apriyadi

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Jakarta, the capital city of Indonesia, is the city with the largest population in Indonesia with a population of 10,609,681. In line with the rapid growth and the increment of the population in Jakarta lead to the increment in the number of buildings in Jakarta. However, the building increment in Jakarta leads to the emergence of buildings ownership problems. Meanwhile, the increasing urbanization promotes the need for a system that accommodates the smart city concepts which require complex interactions between governments and citizens. Therefore, the Jakarta Provincial Government established a breakthrough program called Priority Villages, a program that integrates geospatial and citizen participation using the Geographic Information System (GIS) for the smart city planning model. This program focused on the distribution acceleration of building establishment decision letters. This research aims to visualize the concept and advantages of the Priority Village program as an analysis-oriented application for the development of intelligent city concepts. The outputs of the Priority Villages program are the issuances of 112 building establishment decision letters per region and 7,534 building establishment decision letters per individual building. The integration of geospatial and citizen participation using Geographic Information System (GIS) in Priority Villages program strongly supports the sustainability of the Jakarta Smart City program, shortening the Estimated Time of Arrival (ETA) of the building establishment decision letter making from 16 days to 7 days and give the positive impact on the broader citizen in Jakarta.

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Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburg

Roussel

Rolwes

Böhm

2022

Geoinformatics and Data Analysis

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Analysis and Evaluation of Geospatial Factors in Smart Cities: A Study of Off-Street Parking in Mainz, Germany

Cited by 4 publications

References 9 publications

Explanation and Analysis of Spatio-Temporal Correlations—Towards a Conceptual Approach of a Semantic Comparison Visualization in a Use Case of Carparks in Mainz, Germany

Explanation and Analysis of Spatio-Temporal Correlations—Towards a Conceptual Approach of a Semantic Comparison Visualization in a Use Case of Carparks in Mainz, Germany

Integration of Geospatial and Citizen Participation Using Geographic Information System for Smart City: A Study of Priority Villages Program in Jakarta, Indonesia

Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburg

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