Abstract This paper investigates trends in the travel behaviour of young adults Germany, France, Great Britain, Japan, Norway, and USA over past few decades with a focus on car availability travel. The trend analysis relies micro-data from 20 National Travel Surveys study countries dating back to mid-1970s. survey data is supplemented by official statistics licence holding. On this basis, compiles body evidence for changes mobility patterns among industrialized decades. findings indicate...

Like other industrialized countries, Germany and Great Britain have experienced increasing motorization over the past five decades. However, results from national travel surveys, vehicle registration statistics, driver's licensing databases suggest that young Germans Britons today are less automobile oriented than their parents' generation. The paper sheds light on this trend, with a focus group of 20- to 29-year-olds. analysis finds decreasing car availability, significant reduction...

This paper investigates the contribution of underlying trends to per-capita car travel development since 1970s in France, Germany, Great Britain, and USA. In these countries, after a long period growth, began show signs stagnation — or even decrease 1990s. Our breaks down demographic for two study periods: first, growth (until mid-1990s); second, (beginning around turn millennium). Two patterns emerge: (1) France USA, reversal trend per capita was due mainly changes total demand by drivers;...

The relationship between the service of public transport (PT) and its use is complex but can be simplified through indicators. These indicators should able to accurately reflect PT so that improvements in lead increases use. Although researchers planners similar describe access stops, used assess accessibility destinations differ. Researchers specific location-based methods analyze spatially dispersed destinations, while practitioners often focus on connectivity central (business) districts....

Over the past few years, many studies have provided detailed descriptions of potential benefits associated with introduction autonomous vehicles, such as improvements in traffic flows, local and global emissions, safety, cost efficiency public private transport operations, etc. Additionally, mobilization mobility-impaired people independent car use travelers without a driver's license been identified for users. However, merely estimating these direct (or first-order) effects is unlikely to...

Predicting bicycle parking demand is critical to optimizing facilities and thereby promoting cycling. Unfortunately, previous studies have not considered facility type location when predicting demand, which meeting user needs, especially in scenarios with multiple options, such as on university campuses, our case study. The paper presents a predictive model for using synthetic population derived from building space utilization data, mobility survey, results stated preference experiment...

While much is known about everyday travel of the German population, long-distance still underreported. The main data source, national survey "Mobility in Germany (MiD)", cannot simply be used to describe demand: complex extrapolations and complementary are necessary obtain a consistent picture. presented approach 'data fusion' integrates different sources provide overall demand. result reveals that almost half total transport performance residential population (46 % passenger kilometers)...

Results are presented from analysis of individual mode choice behavior in the longitudinal section Germany. The findings show that about half German drivers also use public transport. Because they different modes, can be characterized as multimodals. This group will constitute an increasing share transport clientele coming decades because decline captive riders is foreseeable. Therefore it necessary to understand multimodal environment where travelers have options, important know how make...

Since the turn of millennium, car ownership and travel among young German adults have decreased noticeably. This paper analyzes these changes in Germans’ mobility behavior on basis a diary survey an income expenditure survey. The decrease by is linked to lower this group. However, behavioral owners are far more important with regard their overall travel. Logistic regression was applied identify attributes households that associated low altering ownership. model indicated structural...

Cities with high levels of cycling frequently encounter challenges associated demand for bicycle parking. One approach to tackle this is the installation parking stations that provide weather and theft protection. Due their cost limited capacity, a pricing strategy appears be useful managing occupancy these facilities. However, there shortage quantitative studies analyze improvements in specifically measure impact fees. Against background, paper examines effect fees on utility planned at...

Results are presented from analysis of individual mode choice behavior in the longitudinal section Germany. The findings show that about half German drivers also use public transport. Because they different modes, can be characterized as multimodals. This group will constitute an increasing share transport clientele coming decades because decline captive riders is foreseeable. Therefore it necessary to understand multimodal environment where travelers have options, important know how make...

Cycling demand has been growing in recent years Germany. Today, during an average week, about 30% of the German population, including all age classes and rural as well urban populations, use bicycle a means transportation. Cyclists their bicycles on 3 days per week for trips. The bicycle, however, is mode used specific segments everyday travel, particularly short distances, unlike car, which almost universal. Hence, cyclists exhibit multimodal travel behavior (i.e., they combine with other...

OpenStreetMap (OSM) data are geographical that easy and open to access therefore used for a large set of applications including travel demand modeling. However, often there is limited awareness about the shortcomings volunteered geographic information data, such as OSM. One important issue application in modeling completeness OSM elements, particularly points interest (POI), since it directly influences predictions trip distributions. This might cause unreliable model sensitivities end up...

E-bikes have the potential to promote sustainable mobility by increasing mode share of cycling. This paper examines their impact on travel behavior in Germany, taking into account socio-demographic groups and attributes, using 2017 German national survey MiD. Two logit models investigate factors influencing ownership different types bicycles influence bicycle type choice. During data collection period 2016/2017, e-bikes were less common than conventional predominantly owned older age groups....

This paper discusses available household survey data on long-distance travel (LDT) and presents harmonized figures LDT in Europe. First, there is a comparison of the results different surveys about LDT. The findings this have important implications for methodology surveying LDT: conventional mobility diary are better than capturing journeys up to 200 km. perform only beyond 400 Second, first internationally comparable demand These been compiled by using sources information, avoiding...