Emissions of CO2 from road freight transport in London: trends and policies for long run reductions.

Freight transport has been receiving increasing attention in both literature and practice following the growing recognition of its importance in urban transport planning. This papers analyses historical and projected road freight CO2 emissions in the city of London and explores the potential mitigation effect of a set of freight transport policies and logistics solutions. Findings indicate a range of policies with potential to reduce emissions in the period up to 2050. However, this reduction would appear to only be capable of partly counterbalancing the projected increase in freight traffic. More profound behavioural measures therefore appear to be necessary for London’s CO2 emissions reduction targets to be met

Noise and air quality valuations: evidence from stated preference residential choice models

This paper reports on research which has estimated valuations of changes in traffic related noise levels and air quality and which contributes to the body of knowledge and to methodology in this area. There are several novel aspects of this research. Firstly, there have been relatively few stated preference studies of the monetary valuations of traffic related noise and air quality. A feature of this analysis is the examination of variations in values according to the size and sign of the environmental change, the currently experienced level of the attribute and various socio-economic factors. Secondly, the important issue of presentation is addressed, with two different methods used in the valuation of air quality and links made between valuations and physical measures. Thirdly, the results from stated preference and the contingent valuation method are compared. Finally, we bring together evidence from other studies and compare them with the findings obtained here

Stated choice valuations of traffic related noise

This paper reports a novel application of the stated choice method to the valuation of road traffic noise. The innovative context used is that of choice between apartments with different levels of traffic noise, view, sunlight and cost with which respondents would be familiar. Stated choice models were developed on both perceived and objective measures of traffic noise, with the former statistically superior, and an extensive econometric analysis has been conducted to assess the nature and extent of householders’ heterogeneity of preferences for noise. This found that random taste variation is appreciable but also identified considerable systematic variation in valuations according to income level, household composition and exposure to noise. Self-selectivity is apparent, whereby those with higher marginal values of noise tend to live in quieter apartments. Sign and reference effects were apparent in the relationship between ratings and objective noise measures, presumably reflecting the non-linear nature of the latter. However, there was no strong support for sign, size or reference effects in the valuations of perceived noise levels

The potential behavioural effect of personal carbon trading: results from an experimental survey

This paper contributes to the debate on the effectiveness of carbon trading schemes when contrasted with carbon taxes in reducing environmental externalities. An experimental survey explored individual’s behavioural response to a personal carbon trading (PCT) scheme, or a carbon tax (CT), both affecting personal transport and domestic energy choices. Responses were two stage, firstly whether to change behaviour or not, and secondly how much to change. Results from the first stage indicate that those on high incomes and car users were less likely to change their behaviour, whilst those who had already changed their behaviour due to concern about climate change, lived in larger households or faced the CT were more likely to change. The second stage revealed fewer significant effects, the impact of already changing behaviour persisted and this case those who faced PCT were likely to make greater changes. Both schemes appear to be capable of reducing individual carbon consumption, however, the evidence on effectiveness of a PCT relative to a simpler CT is mixed and insufficient to make a strong case for such a complex scheme over a more straightforward tax

Surfing the landscape of barriers and incentives to sustainability assessment in an urban development context

Assessment of urban sustainability can be considered as a means to an end as it is often intended to guide decision-making in a way that contributes to sustainable urban development. The contribution of assessment mechanisms towards the achievement of this goal depends to a large extent on the level of use and adoption of sustainability assessment tools amongst the diversity of users. Since the development of a Sustainable Development Strategy in 1998, the UK Government has given sustainable development prominence on the policy agenda, with similar emphasis being reflected at EU legislation level. Investigation of the barriers and incentives to sustainability assessment can supplement this increasing prominence of sustainability in decision-making processes and the equally increasing need for sustainability assessment. A review of the literature on the subject suggests that although much has been written on barriers and incentives to sustainability, very little work has been done on factors that hinder or encourage uptake of sustainability assessment tools. Against this background, the aim of this paper is to investigate and identify the barriers and incentives to sustainability assessment and the adoption of assessment tools. This should provide a starting point for assessing the potential impact of various approaches and incentives to overcome the barriers to sustainability assessment. Four broad sets of barriers and incentives are identified as perceptual, institutional; economic; and technological factors. The paper further discusses some of the enablers associated with the various policies and legislative instruments at the political hierarchies of: the EU; the UK (including the devolved governments); and local government levels. The paper concludes by suggesting that the identified barriers and incentives should be given due consideration during the development of any sustainability assessment tool

Residential sorting and environmental externalities: the case of nonlinearities and stigma in aviation noise values

This paper explores the sorting process in response to differing levels of aviation noise exposure in a housing market. Spatiotemporal hedonic pricing (HP) and stated choice (SC) results reflect nonlinearities and stigma. The HP models reveal nonlinear noise depreciation increasing from 0.40 to 2.38 percent per decibel as noise increases, while the SC noise values are lower in an area with high long-term noise exposure. These nonlinearities are attributed to the spatial sorting of noise tolerant individuals. HP results from the same “noisy“ area show a “stigma“ from noise during the first year after the complete removal of aviation noise

A stakeholder analysis of the automotive industry’s use of compressed natural gas in Nigeria

Nigeria experiences a perennial shortage of transportation energy despite being the world’s eighth largest producer of crude oil and the seventh largest proven reservoir of natural gas. Partly as a result, the Nigerian government proposed the use of compressed natural gas (CNG) as an automotive fuel in 1997 as part of the efforts to harness the country’s natural gas resources and address transportation energy challenges. However, the rate of adoption has been very low with natural gas vehicles constituting 0.04% of the national vehicle fleet. This paper presents a stakeholder analysis derived from interviews with senior executives of the leading organisations involved in the energy and transportation sectors in Nigeria. Analysis revealed thirty-one barriers and twenty-six policy proposals that were categorised into eight and four themes respectively. While there is a rarity of agreement across all stakeholder groups, we observed consensus on the suggestion for the removal of the subsidy on petrol and the need for the establishment of a coordinating agency to drive the use of CNG. The paper offers specific recommendations for the reform of the energy and transportation sectors, the introduction of fiscal and operational incentives and the creation of public awareness

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services

International meta-analysis of stated preference studies of transportation noise nuisance

This paper reports the first meta-analysis and most extensive review of stated preference studies of transportation noise nuisance. The meta-analysis is based on a newly compiled data set of 258 values from 49 studies and 23 countries and spanning more than 40 years. Contrast this with the most extensive meta-analysis of the more conventional hedonic pricing approach which includes 53 noise valuations. Moreover, the sample compares favourably with the 444 observations from the very first meta-analysis of the value of travel time savings which is by far the most widely examined parameter in transport planning. A particularly significant finding of the study is that the intertemporal income elasticity is close to one, somewhat larger than the cross-sectional income elasticity typically obtained from individual studies. This demonstrates the importance of distinguishing the effects of 2 income variations that occur over time, which tend to drive policy, from variations across individuals at one point in time, and such findings are typical of those observed in other markets. Importantly, the values derived are transferable across countries and may be used to benchmark existing evidence and provide values in contexts where none exist. Other key results are that values for aircraft noise exceed those for other modes, whilst those exposed to higher noise levels and those who are highly annoyed also have higher values in line with expectations. A wide range of design effects were tested but few were significant and these included the consumer surplus measure, the representation of noise and the context

Public engagement on aviation taxes in the United Kingdom

The acceptability of existing and potential future aviation taxes in the United Kingdom is explored using a focus group methodology. Focus group participants preferred an independently managed and accountable trust fund to use aviation tax for environmental improvements over the current Air Passenger Duty system. In terms of where additional aviation tax revenues should be spent, there was greatest support for improving United Kingdom surface transport and developing aircraft technology. Participants were tentatively supportive of the European Union Emission Trading Scheme, although would like to see companies within the scheme striving for maximum carbon reductions