Sustainable Mobility

Data Management of Heterogeneous Bicycle Infrastructure Data

Abstract

Data that is related to traffic and specially to cycling is already commonly used in bicycle infrastructure planning processes. Data supports the understanding of bicycle use. What becomes more relevant is data about the state of the bike infrastructure. In general, cycling data sources have become in-creasingly heterogeneous what increases the need for suitable data management. This contribution presents the data management solution of the INFRASense research project that aims at the quality assessment of bicycle infrastructure. As a first step, the state of the art of data applications in cycling planning is presented. The data pipeline of the research project that considers many of these data sources is based on a Data Lake approach where the raw data sets are stored before transforming these individually for further data processing. The available data sources can be divided between time series and non-times series data. The related data models that allow the combination of different tables inside the database will be presented. As a last step, the contribution gives an outlook to forthcoming applications that will build up on the presented data management solution (interactive dashboard for data analysis).

Evaluation of Incentive Systems in the Context of SusCRM in a Local Online Retail Platform

Abstract

The current consumption patterns observed in both offline and online retail present sustainability challenges related to environmental impacts associ-ated with products, last-mile delivery, personal mobility, and packaging. Different choices in delivery methods and individual mobility to overcome the last mile lead to varying levels of emissions. To address these environ-mental impacts, this study examines the application of a Sustainability Customer Relationship Management (SusCRM) approach to a local retail platform, aiming to meet customer expectations while promoting sustaina-ble and conscious consumption within the various stages of the e-commerce customer journey. Consumers nowadays tend to act in a more sustainable way at the same time, they hold retailers and logistics compa-nies responsible for creating these offers. Designing such a platform ad-dressing the demand for sustainable supply is the key goal of the research project ” R3 – Resilient, Regional, Retail in the Metropolitan Region Northwest”. To explore potential incentive systems that can be implement-ed within the platform, a survey was conducted. The survey results indicate that most respondents demonstrated a high level of acceptance towards the proposed incentive systems.

Geospatial Data Processing and Analysis of Cross-Border Rail Infrastructures in Europe

Abstract

The European Union has established two major goals: the interconnection of Europe and achieving climate neutrality by 2050. Rail transport, known as the most environmentally friendly mode of transportation, has the poten-tial to bridge these goals if the right strategies are implemented. However, Europe still faces significant challenges in developing a unified rail transport network, particularly evident in the inadequate infrastructure in border areas. This study aims to address these challenges by first identify-ing all locations in Europe where cross-border rail traffic occurs and then exploring potential factors that influence the development of cross-border rail connections. To achieve this, a comprehensive literature review was conducted to identify potential influencing factors. Subsequently, a quanti-tative data analysis was performed using geographic data to identify rela-tionships and confirm potential influences. Geographical Information Sys-tems were utilized to create comprehensive datasets, providing detailed in-formation on all cross-border rail connections in Europe and their corre-sponding border regions. The analysis confirmed a strong economy and a common language as the most significant factors influencing the emergence of cross-border rail links. Surprisingly, no correlation was observed be-tween population size and the presence of cross-border rail infrastructure in border regions. In this context, it was discovered that many populous re-gions lack a direct rail connection to their neighbouring region when sepa-rated by a national border. This shows the persistent divisive nature of na-tional borders in Europe, despite the existence of the single market and freedom of movement. The datasets generated in this study offer highly ac-curate geospatial data on European cross-border rail infrastructure. These datasets hold great potential for future research endeavours across multiple domains, providing fresh perspectives on the infrastructure of border areas.