Critical success factors for improving societal effectiveness of transport sector's R&D

This study investigates societal effectiveness of transport sector’s Research & Development (R&D) operations. In this study effectiveness refers to organization’s capability to produce the intended and desired impacts through its operations. The aim of this study is to identify the motives for evaluating societal effectiveness and recognize the critical success factors for improving effectiveness. The theoretical framework focuses first in the policy context of effectiveness evaluation in public sector and secondly the framework introduces the concept and process of effectiveness evaluation. The empirical part is carried out as a case study, which investigates societal effectiveness of Finnish Transport Agency’s (FTA’s) R&D. The aim is to recognize FTA’s critical success factors for improving R&D operations’ societal effectiveness. Based on these factors, the organization is able to define indicators for measuring effectiveness in the future operations. In this study societal effectiveness is investigated from R&D purchasers’ and R&D end- users’ points of views according to Purchaser-Provider-model. The results indicate that societal effectiveness evaluation is important part of R&D operations, but the implementation of the evaluation as part of daily operations is challenging. Because of limited resources, the organization is forced to strong priorization and therefore R&D tasks are secondary after the operational tasks. Based on the results the critical success factors can be recognized as resources and priorization, clear strategy and objectives, internal communications, cooperation between public and private sector and R&D implementation and dissemination.

Software for Transport Accessibility Analysis: The Case of Moscow

In this thesis the process of building a software for transport accessibility analysis is described. The goal was to create a software which is easy to distribute and simple to use for the user without particular background in the field of the geographical data analysis. It was shown that existing tools do not suit for this particular task due to complex interface or significant rendering time. The goal was accomplished by applying modern approaches in the process of building web applications such as maps based on vector tiles, FLUX architecture design pattern and module bundling. It was discovered that vector tiles have considerable advantages over image-based tiles such as faster rendering and real-time styling.

GIS-based approach for optimization of onshore wind park infrastructure alignment in Finland

Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.