Transit accessibility, the conditions and distance under which people have access to transit services, is one of key indicators assess performance cities' systems. The more can system, better its in terms social equity (e.g., equal jobs, education, other opportunities). To inform policymakers support decision-making, it crucial measure potential accessibility changes transport investments. Due paucity available data, however, calculating monitoring a difficult task. Anchored SDG 11 for...

Abstract Digitalization coevolves with and fosters three revolutions in urban transport: sharing, electrification automatization. This dynamic poses severe risks for social environmental sustainability. Only strong public policies can steer digitalization towards fostering sustainability transport.

The present study aims to deduce bikeability based on a collective understanding and provides methodology operationalize its calculation open data. approach contains four steps building each other combines qualitative quantitative methods. first three include the definition operationalization of index. First, findings from literature are condensed determine relevant categories influencing bikeability. Second, an expert survey is conducted estimate importance these gain common merge impacting...

Accessibility to public transport is a fundamental component of connecting individuals urban services. Guided by the UN Habitat Sustainable Development Goal 11.2, which aims ensure accessible, safe, affordable, and sustainable systems for all, our study focuses specifically on accessibility as key dimension achieving this goal its implications social spatial equity. In study, we employ walking distance indicator proposed responsible working group calculate transport. Because underlying...

This paper aims to develop a user typology which enables user-specific analyses in respect of mobility behavior. It addresses the challenge integrating unimodal and intermodal travel behavior into obtain an overview users within context their overall The is based on two cluster (agglomerative hierarchical clustering) use quantitative survey data obtained for Berlin, Germany. One analysis was performed one mode take account users' relatively low modes as well. resulted 6 5 clusters Since each...

This article investigates if the impact of weather conditions on mode choice (walking, riding a bike, driving car, and using public transport) differs across spatial areas. For this purpose, survey-based data set with more than 500,000 trips in Germany was enriched prevailing at closest station to point departure moment start trip. In addition, points each trip were classified into seven different The analysis relied separate multinomial logit models carried out for area as dependent...

There are many different travel behavior surveys with a wide range of sample sizes and contents, whose data sets often difficult to merge. This contribution aims evaluate the possibilities transferring user typologies from one survey another using random forest classification model. By incorporating parameters usage frequencies, socio-demographics mobility resources, achieved mean F1 score 0.93. In conclusion, it can be shown that proposed method is suitable for types developed on basis...

The energy consumption of passenger vehicles is affected by the physical properties environment. ambient temperature in particular has a significant impact on operating consumption. To quantify changed climate with different drivetrain systems, we set up model that calculates change demand respect to multiple global warming levels. In particular, effect rising temperatures battery electric and internal combustion engines was investigated. Our results indicate will likely lead rise an engine....

Many municipalities aim to support the uptake of cycling as an environmentally friendly and healthy mode transport. It is therefore crucial meet demand cyclists when adapting road infrastructure. Previous studies researching cyclists' route choice behavior deliver valuable insights but are constrained by laboratory conditions, limitations in number observations, or observation period relay on specific use cases. The present study analyzes a dataset over 450,000 observations routing settings...

Bicycle usage is significantly affected by weather conditions. Climate change is, therefore, expected to have an impact on the volume of bicycle traffic, which important factor in planning and design infrastructures. To predict traffic a changed climate city Berlin, this paper compares traditional statistical approach three machine learning models. For purpose, cross-validation procedure developed that evaluates model performance basis prediction accuracy. XGBoost showed best used for...

Abstract. Within the framework of this project methods are being tested and implemented a) to introduce remote sensing based approaches into existing process biotope mapping b) develop a serving multiple requirements arising from different users’ backgrounds thus need for comprehensive data interoperability. Therefore state-wide high resolution land cover vector-data have been generated in an automated object oriented workflow on aerial imagery normalised digital surface models.These...

In recent years, e-scooters have been introduced in many European cities. several places we witnessed a rapid uptake of this new mode transport mainly as result public sharing schemes. A number incidents, injuries and even fatalities given rise to questions regarding the safety these vehicles. These are being researched using official crash data specifying hospital treatment. Until now, research has focused on investigating typical injury patterns estimating risk levels. Very little is known...

With the introduction of LANDSAT 8 and future Sentinel missions as well several other national satellite programs, analysis multi-temporal remote sensing data will be main importance for detecting analyzing different landcover classes. The utilization MODIS/MERIS within last decade led to development a variety tools time-series Earth Observation data. potentially higher spatial resolution new generation sensors provides feasibility use these classify finer hierarchies land-cover This...

This study uses accessibility measures to assess the quality of infrastructure supply (schools, parks, public transport stops in regarded cases) and performance transportation system urban areas, based on objective, quantitative values. Within scope this work methodology is applied city Berlin Mexico City as examples. Fine-grained data level single households positions activity locations used well a detailed road network representation description offers. The results show that are valuable...