Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information

Automatic detection of public transport (PT) usage has important applications for intelligent transport systems. It is crucial for understanding the commuting habits of passengers at large and over longer periods of time. It also enables compilation of door-to-door trip chains, which in turn can assist public transport providers in improved optimisation of their transport networks. In addition, predictions of future trips based on past activities can be used to assist passengers with targeted information. This article documents a dataset compiled from a day of active commuting by a small group of people using different means of PT in the Helsinki region. Mobility data was collected by two means: (a) manually written details of each PT trip during the day, and (b) measurements using sensors of travellers' mobile devices. The manual log is used to cross-check and verify the results derived from automatic measurements. The mobile client application used for our data collection provides a fully automated measurement service and implements a set of algorithms for decreasing battery consumption. The live locations of some of the public transport vehicles in the region were made available by the local transport provider and sampled with a 30-second interval. The stopping times of local trains at stations during the day were retrieved from the railway operator. The static timetable information of all the PT vehicles operating in the area is made available by the transport provider, and linked to our dataset. The challenge is to correctly detect as many manually logged trips as possible by using the automatically collected data. This paper includes an analysis of challenges due to missing or partially sampled information in the data, and initial results from automatic recognition using a set of algorithms. Improvement of correct recognitions is left as an ongoing challenge.Comment: 22 pages, 7 figures, 10 table

Valuing the small: countingthe benefits

This paper contains part of a reportcommissioned by a consortium oforganisations concerned with thesuccessful development of sustainabletransport strategies, and drafted byProfessor Phil Goodwin of UCL. It followsa report, Less Traffic Where People Live,which, using case studies of experiencehere and elsewhere in Europe hasdemonstrated that small-scale, or ?softfactors? can be effective in tacklingtransport problems, especially when usedin combination. Such examples includebus priority schemes, measures forimproving walking and cycling, trafficcalming, car clubs, school and workplacetravel plans, and the use of personalisedadvice and information to assist people inreducing the congestion and pollution theycause. The DfT?s report Smarter Choices ?Changing the Way we Travel, has alsohighlighted the significant potential whichexists to reduce traffic and congestion,providing soft factors are accompanied bysupporting measures to manage demand.The DfT has established a unit dedicatedto developing experience on soft factors,including on appraisal. Coupled with therecent report, there is a gainingmomentum behind expanding the role ofsoft factors in transport policy. These areall initiatives which are supported bynational and local government, and onwhich the sponsoring organisations havein recent years become active advisers aswell as campaigners.Taken together, such relatively cheap andpotentially popular initiatives are not onlypowerful contributions to theGovernment?s transport strategy: they arealso the leading examples of initiativeswhich can produce improvements swiftly? an important consideration both forpolitical reasons, and also in order toproduce the momentum and consensusfor longer term initiatives.This attractive combination of relativecheapness, environmental advantage,demonstrated successes in good practice,and speed of delivery would ? one mightthink ? lead to such policies being very highprofile indeed. However, this is not alwaysthe case. The problem this report addressesis reflected in recurrent concerns that themerits of such initiatives are overshadowedby the bigger, longer-term, much moreambitious ? and often much morecontroversial ??big? policies: especiallymassive rail or road infrastructure projects.In some ways it is natural that the ?big?initiatives should receive more attentionthan the ?small?, especially in view of along period of inadequate or distortedinvestment. But taken too far, this can becounter-productive. The question thisreport addresses is whether there is somesystematic reason, deep in the appraisaland forecasting methods, which preventsperfectly good initiatives receiving theattention and funding they deserve. Thesuggestion is that there are indeed someimportant biases of this kind, and thatsorting them out will have very helpfuleffects in avoiding wasted opportunitiesand accelerating delivery.This report addresses the followingquestions and is intended to be a helpfulcontribution to this area of work:> what are the barriers that prevent thesmall, good value-for-money schemesbeing taken up with greaterenthusiasm than the big, poor valuefor-money projects?> are there ways of restoring a balancedimplementation process?It is obvious that such barriers will includepolitical and ideological considerations,and the role of vested interests, but theyare not the focus of this report. Rather,the concern is that there may beweaknesses in the process of appraisaland assessment, preceding anyimplementation, which produce a biasagainst the small schemes. This processis intended to resolve practical questionsof design, economic questions of value formoney, planning questions of consistency,and the relationship between short andlong term objectives: it depends on a setof formal procedures and practices ?surveys, models, forecasts, appraisalframeworks ? built up over many years,and originating in the economic costbenefitanalyses whose principles andbasic features were established in the1960s and 1970s.The suggestion is made that there aresome in-built biases in current appraisaltechniques ? developed, as they were, ina different time and for a different agenda? which discriminate against some of thebest measures, and for some of the leasteffective

Transportation, Terrorism and Crime: Deterrence, Disruption and Resilience

Abstract: Terrorists likely have adopted vehicle ramming as a tactic because it can be carried out by an individual (or “lone wolf terrorist”), and because the skills required are minimal (e.g. the ability to drive a car and determine locations for creating maximum carnage). Studies of terrorist activities against transportation assets have been conducted to help law enforcement agencies prepare their communities, create mitigation measures, conduct effective surveillance and respond quickly to attacks. This study reviews current research on terrorist tactics against transportation assets, with an emphasis on vehicle ramming attacks. It evaluates some of the current attack strategies, and the possible mitigation or response tactics that may be effective in deterring attacks or saving lives in the event of an attack. It includes case studies that can be used as educational tools for understanding terrorist methodologies, as well as ordinary emergencies that might become a terrorist’s blueprint

Counting the costs of crime in Australia: a 2011 estimate

This report estimates the costs of crime for the calendar year 2011. Executive summary This report seeks to estimate how much crime costs the Australian economy by calculating the number of crimes that come to the attention of the authorities and, using crime victimisation survey data, the number of crimes that are not recorded officially. A dollar figure is then calculated for each estimated crime event and an indication given of the total cost of each specific crime type in terms of actual loss, intangible losses, loss of output caused through the criminal conduct and other related costs such as medical expenses, where relevant. Added to these costs are the costs of preventing and responding to crime in the community including the costs of maintaining the criminal justice system agencies of police, prosecution, courts and correctional agencies, as well as a proportion of the costs of Australian and state and territory government agencies that have crime-related functions. Finally, a deduction is made for the value of property recovered in the case of property crime, as well as the amount of funds recovered from criminals under federal, state and territory proceeds of crime legislation. More detailed information about how each of these estimates was derived is provided in the main body of the report. Official attention paid to specific crime types, particularly drug-related crime and organised crime, affects both the reporting rate and also the cost of policing and correctional responses. In this sense, individual crime type costs and prevention and response costs are not mutually exclusive. Arguably, as individual crime types attract more attention, reporting rates increase and prevention and control of the crimes in question are seen as being deserving of increased resource

The Costs of U.S. Oil Dependency

This paper first describes trends and future predictions of factors that determine U.S. dependence on oil and oil imports. We then review evidence on the oil premium, that is, the extent to which the costs to the United States as a whole from extra oil consumption may exceed the private costs to individual oil users. The premium has two main components: one reflects the risk of macroeconomic disruptions from oil price shocks, while the other stems from U.S. market power in the world oil market. Our best assessment of the oil premium is $5/barrel (equivalent to 12 cents per gallon of gasoline), which would warrant a broad, though moderately scaled, tax on all uses of oil.energy security; oil imports; oil premium; macroeconomic disruptions

The Development of a Common Investment Appraisal for Urban Transport Projects.

In December 1990 we were invited by Birmingham City Council and Centro to submit a proposal for an introductory study of the development of a common investment appraisal for urban transport projects. Many of the issues had arisen during the Birmingham Integrated Transport Study (BITS) in which we were involved, and in the subsequent assessment of light rail schemes of which we have considerable experience. In subsequent discussion, the objectives were identified as being:- (i) to identify, briefly, the weaknesses with existing appraisal techniques; (ii) to develop proposals for common methods for the social cost-benefit appraisal of both urban road and rail schemes which overcome these weaknesses; (iii) to develop complementary and consistent proposals for common methods of financial appraisal of such projects; (iv) to develop proposals for variants of the methods in (ii) and (iii) which are appropriate to schemes of differing complexity and cost; (v) to consider briefly methods of treating externalities, and performance against other public sector goals, which are consistent with those developed under (ii) to (iv) above; (vi) to recommend work to be done in the second phase of the study (beyond March 1991) on the provision of input to such evaluation methods from strategic and mode-specific models, and on the testing of the proposed evaluation methods. Such issues are particularly topical at present, and we have been able to draw, in our study, on experience of:- (i) evaluation methods developed for BITS and subsequent integrated transport studies (MVA) (ii) evaluation of individual light rail and heavy rail investment projects (ITS,MVA); (iii) the recommendations of AMA in "Changing Gear" (iv) advice to IPPR on appraisal methodology (ITS); (v) submissions to the House of Commons enquiry into "Roads for the Future" (ITS); (vi) advice to the National Audit Office (ITS) (vii) involvement in the SACTRA study of urban road appraisal (MVA, ITS

Resilience Assignment Framework using System Dynamics and Fuzzy Logic.

This paper is concerned with the development of a conceptual framework that measures the resilience of the transport network under climate change related events. However, the conceptual framework could be adapted and quantified to suit each disruption’s unique impacts. The proposed resilience framework evaluates the changes in transport network performance in multi-stage processes; pre, during and after the disruption. The framework will be of use to decision makers in understanding the dynamic nature of resilience under various events. Furthermore, it could be used as an evaluation tool to gauge transport network performance and highlight weaknesses in the network. In this paper, the system dynamics approach and fuzzy logic theory are integrated and employed to study three characteristics of network resilience. The proposed methodology has been selected to overcome two dominant problems in transport modelling, namely complexity and uncertainty. The system dynamics approach is intended to overcome the double counting effect of extreme events on various resilience characteristics because of its ability to model the feedback process and time delay. On the other hand, fuzzy logic is used to model the relationships among different variables that are difficult to express in numerical form such as redundancy and mobility