Jani-Pekka Jokinen

• Aalto University

This chapter considers the challenges and solutions for public transport in low population density areas from an economic perspective. The lower demand density causes economic challenges for providing public transport due to relatively low revenues and cost recovery compared to public transport provision in urban areas. The on-going urbanization ma...

This paper presents a model addressing welfare optimal policies of demand responsive transportation service, where passengers cause external travel time costs for other passengers due to the route changes. Optimal pricing and trip production policies are modelled both on the aggregate level and on the network level. The aggregate model is an extens...

In this paper, the technical requirements to perform a cost-benefit analysis of a Demand Responsive Transport (DRT) service with the traffic simulation software MATSim are elaborated in order to achieve the long-term goal of assessing the introduction of a DRT service in G\"ottingen and the surrounding area. The aim was to determine if the software...

The emergence of new flexible passenger transport services enabled by technological advancements can have substantial impacts on efficiency and sustainability of public transport systems. Socio-economic appraisal methods of transport investments have developed during last decades, and especially CBA is proven to provide robust method for ranking al...

Rural regions in industrialised countries are facing problems in public transport (PT) provision against the backdrop of demographic change, urbanisation and austerity policies. However, innovative mobility concepts evolve under technological developments. Demand responsive transport (DRT) has been identified in research to meet the challenges and...

Detailed knowledge of passenger context is essential for developing intelligent transportation systems. For example, automated ticket sales and personal routing require more information about used means of transportation than traditional time tables can offer. Here, the authors contribute to this topic by using measurements from smartphone sensors...

An increasing number of flexible micro transport services (FMTS) is an emerging response to tackling sustainability issues of urban mobility. Meeting the challenges of changing user requirements and difficulty in accomplishing modal shift policy goals, FMTS can respond, owing to advances in technological solutions. However, these novel services are...

Traffic and transportation are ongoing digitalisation. Travellers always carry smartphones everywhere they go. Smartphone-based crowdsensing can be used to collect and aggregate traffic information for services that contribute to smoother and more sustainable transportation and traffic - but only if the business model is profitable in the long-term...

This paper presents a model addressing welfare optimal policies, and unique cost structures of demand responsive transportation and shared taxi services. In shared rides, passengers cause external travel time costs for other passengers due to route changes and additional stops. Optimal pricing and trip production policies are studied in three situa...

The results of in-depth interviews with focus groups on user needs for urban car travel in the Helsinki, Finland, metropolitan area are presented. The interviews concentrated on determination of the instrumental motives for dependence on the car by a sample consisting of various types of urban travelers who described their three most typical trip t...

In this paper, we argue that a large-scale demand responsive system is the missing element from the spectrum of the urban transport modes. To this end, we provide a comprehensive analysis addressing this broad question from several aspects including the customers' perception, various technical aspects, and the related societal aspects. In each case...

Report of the Finnish Software Product Business 2006 Results of the National Software Industry Survey

This paper discusses the notion of a business model in the context of a software company, reviewing some common definitions for the term and then characterizing businesses according to different types of business models. We will conclude in discussing how different business models affect software engineering decisions and the software product itsel...

We report findings from a survey that has been conducted in Finland to study how the software product companies have matured and evolved over the years. In addition to introducing some key terms for characterizing the software product business, we provide some overall data on the sector, and discuss some specific issues related to the software R&D...

An essential element of software engineering risk management is the conceptualization of potential risks to a project. It is the basis of risk analysis and, even more importantly, it strongly influences how risks are communicated and understood by participants in a project. This paper reports the results of a study where different risk visualizatio...

In 2002, the Finnish software product industry generated an overall revenue of 1 000 M Euros – of which 400 M Euros came from exports – and employed 10 000 professionals. The revenue of the industry grew by 13 %, which is a higher growth rate than the one in the world markets that grew 7.6 % in 2002 (IDC 2003a). The revenue from international busin...