Dogus Guler

Dr. Dogus Guler

Istanbul Technical University, Department of Geomatics Engineering
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
9 March 2020 in Annals of GIS
Verified
Journal Article
Open access
DGDogus Guler
Dogus Guler
TYTahsin Yomralioglu
Tahsin Yomralioglu
Electric vehicles arouse interest since they not only contribute economies of countries in the context of dependency to oil but also support to more livable and sustainable urban areas. The location selection of electric vehicle charging stations is one of the most vital topics in order to enhance the use of electric vehicles. In this sense, the aim of this paper is to propose an approach that integrates Geographic Information System (GIS) techniques and Multi-Criteria Decision Making (MCDM) methods for finding suitable locations of the electric vehicle charging stations. In this regard, the Analytic Hierarchy Process (AHP) and the Fuzzy Analytic Hierarchy Process (FAHP) methods are used to calculate the weights of criteria. While the two different weights for each criterion are obtained by means of AHP in terms of environmental impact and accessibility, another weight for each criterion is obtained as a means of applying the FAHP. The intersection of three different suitability indexes is determined so as to achieve a holistic, credible result. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the alternative locations. The results show that the proposed approach offers a notable solution to be selected suitable charging station locations. Moreover, policymakers and administrators could benefit from these results in order to make efficient decisions for forward planning and strategies.

Verified
Journal Article
Open access
PDF file
Francesca NoardoFrancesca Noardo
Francesca Noardo
LHLars Harrie
Lars Harrie
KOKen Arroyo Ohori
Ken Arroyo Ohori
FBFilip Biljecki
Filip Biljecki
CEClaire Ellul
Claire Ellul
JSJantien Stoter
Jantien Stoter
The integration of 3D city models with Building Information Models (BIM), coined as GeoBIM, facilitates improved data support to several applications, e.g., 3D map updates, building permits issuing, detailed city analysis, infrastructure design, context-based building design, to name a few. To solve the integration, several issues need to be tackled and solved, i.e., harmonization of features, interoperability, format conversions, integration of procedures. The GeoBIM benchmark 2019, funded by ISPRS and EuroSDR, evaluated the state of implementation of tools addressing some of those issues. In particular, in the part of the benchmark described in this paper, the application of georeferencing to Industry Foundation Classes (IFC) models and making consistent conversions between 3D city models and BIM are investigated, considering the OGC CityGML and buildingSMART IFC as reference standards. In the benchmark, sample datasets in the two reference standards were provided. External volunteers were asked to describe and test georeferencing procedures for IFC models and conversion tools between CityGML and IFC. From the analysis of the delivered answers and processed datasets, it was possible to notice that while there are tools and procedures available to support georeferencing and data conversion, comprehensive definition of the requirements, clear rules to perform such two tasks, as well as solid technological solutions implementing them, are still lacking in functionalities. Those specific issues can be a sensible starting point for planning the next GeoBIM integration agendas.

12 October 2017 in Environmental Earth Sciences
Verified
Journal Article
Closed access
PDF file
DGDogus Guler
Dogus Guler
TYTahsin Yomralıoğlu
Tahsin Yomralıoğlu

15 April 2021 in The Professional Geographer
Verified
Journal Article
Closed access
DGDogus Guler
Dogus Guler
Tahsin YomraliogluTahsin Yomralioglu
Tahsin Yomralioglu
Bicycle sharing systems (BSSs) in urban areas are considered an effective solution for enabling sustainable transportation. In this sense, the locations of BSS stations (BSSSs) are of vital importance to establish efficient BSSs. In addition, citizens should be able to benefit from suitable cycling infrastructure (CI) for their safety. For this reason, the aim of this article is to propose an integrated framework that includes the best worst method (BWM) and geographic information systems (GIS) techniques to determine optimal locations of BSSSs and CIs simultaneously. Proposed BSSS locations and CIs are ranked to present more elaborate results. Moreover, sensitivity analysis is applied with the aim of revealing the uncertainty in the model. In this connection, the locations close to shorelines are found to be highly suitable, because they have advantages in terms of important criteria such as BSSS and transportation station. Consequently, this study presents the interplay of GIS techniques and multicriteria decision making methods, offering a significant solution for simultaneous location selection of BSSS and CI. The results of the approach proposed in this article can be used as a basis for both transportation planning and urban planning.

11 July 2020 in Preprints.org
Verified
Preprint
Open access
Francesca NoardoFrancesca Noardo
Francesca Noardo
LHLars Harrie
Lars Harrie
KOKen Arroyo Ohori
Ken Arroyo Ohori
FBFilip Biljecki
Filip Biljecki
CEClaire Ellul
Claire Ellul
JSJantien Stoter
Jantien Stoter
The integration of 3D city models with Building Information Models (BIM), abbreviated as GeoBIM, facilitates improved data support to several applications, e.g. 3D map updates, building permits issuing, detailed city analysis, infrastructure design, context-based building design, to name a few. To solve the integration, several issues need to be tackled and solved, i.e. harmonization of features, interoperability, format conversions, integration of procedures. The GeoBIM benchmark 2019, funded by ISPRS and EuroSDR, evaluated the state of implementation of tools addressing some of those issues. In particular, in the part of the benchmark described in this paper, the application of georeferencing to Industry Foundation Classes (IFC) models and making consistent conversions between 3D city models and BIM are investigated, considering the OGC CityGML and buildingSMART IFC as reference standards. In the benchmark, sample datasets in the two reference standards were provided. External volunteers were asked to describe and test georeferencing procedures for IFC models and conversion tools between CityGML and IFC. From the analysis of the delivered answers and processed datasets, it was possible to notice that while there are tools and procedures available to support georeferencing and data conversion, comprehensive definition of the requirements, clear rules to perform such two tasks, as well as solid technological solutions implementing them, are still lacking in functionalities. Those specific issues can be a sensible starting point for planning the next GeoBIM integration agendas.

5 November 2022 in Geocarto International
Verified
Journal Article
Closed access
DGDogus Guler
Dogus Guler
POPeter Van Oosterom
Peter Van Oosterom
Tahsin YomraliogluTahsin Yomralioglu
Tahsin Yomralioglu
The condominium rights, which is a special ownership type that can only exist in the buildings that have an occupancy permit, are needed to be examined and depicted as three-dimensional (3D) in order to prevent misinterpretations and disputes regarding Rights, Restrictions, and Responsibilities (RRRs). This paper, therefore, aims to provide the model that extends the Industry Foundation Classes (IFC) schema by referencing Land Administration Domain Model (LADM) in the sense of reusing the Building Information Modeling (BIM)/IFC model of the building for 3D registration of condominium rights in Turkey. The results of the study show that there is a solid potential to benefit from BIM/IFC model in order for both 3D representation of the ownership rights in the multi-storey buildings and obtaining the semantics of the condominiums in terms of wide ranges of attributes such as area, volume, land share, and RRRs.