Social impacts of road traffic: perceptions and priorities of local residents

Abstract

The assessment of the social impacts of road traffic is usually based on objective indicators or on expert judgement, without input from the affected communities. This paper considers the perceptions and priorities of local residents about traffic impacts and possible mitigation measures, using as a case study a rural area that will be affected by traffic associated with the construction of a nuclear power station. The study consisted of a qualitative phase followed by a stated preference survey. Econometric models were used to measure the relative priority of different impacts and mitigation measures. The most impactful aspects were noise, vibration, and increased car or bus travel times. The most preferred measures were night-time restrictions to HGVs, parking restrictions, and safety measures for pedestrians and cyclists. There were significant differences in preferences according to residence location, gender, employment status, and household composition. The results provide information about aspects that tend to be aggregated in existing assessment frameworks, separating the reduction of the utility of some activities (like walking and driving) and the suppression of those activities.

Perception of the Impacts of Urban Mobility Interventions in the Niterói Oceanic Region, Brazil

“…In summary, this research compares different percepti scenarios by the EIA and those that are translated into evalua the results of the EIA, there is a debate about their effectiv generalized. Besides, although it is noticeable that road project and improving the quality of life, also produce negative impa reach, dimension, and nature of these impacts is influenced b [17]. It is this context of possible generalizations in the results o of the population's capacity to perceive the impacts, that f between the predicted scenarios and the perception of their occ Regarding territorial dynamics, the initial expectation was accessibility to the Oceanic Region, enhancing the transformat demand for homes and commercial and service establishments results.…”

“…In summary, this research compares different perceptions: those that are t scenarios by the EIA and those that are translated into evaluation by the responde the results of the EIA, there is a debate about their effectiveness due to their be generalized. Besides, although it is noticeable that road projects, while providing eco and improving the quality of life, also produce negative impacts on the local popu reach, dimension, and nature of these impacts is influenced by the perceptions of t [17]. It is this context of possible generalizations in the results of the EIA, associated w of the population's capacity to perceive the impacts, that favors the occurrence between the predicted scenarios and the perception of their occurrence.…”

“…CVT project and relevant legislation [37]; [39,40]; [42][43][44][45][46][47] Infrastructure projects assessment [2][3][4][5][6][7]; [14]; [18] Social impacts of road traffic [3,4]; [11]; [17,18]; [49]; [50] Influence of the road system on the natural and urban landscape and the quality of the habitat [8,9]; [13]; [16,17]; [19]; [20]; [21,22] Influence of the road system on air quality [4]; [13]; [23][24][25][26][27] Influence of the road system and city morphology on noise pollution [4]; [12]; [23][24][25][26][27][28][29]…”

Dynamic traffic signal control using mean field multi‐agent reinforcement learning in large scale road‐networks

“…The rapid growth of demand for motor vehicles has greatly satisfied people's travel needs. However, the construction of urban infrastructure is unable to keep up with the increase in the number of vehicles, resulting in frequent traffic jams, economic losses, and environmental pollution [1]. To address these issues, controlling the traffic signal at intersections in a reasonable way is a very effective method, which cannot only effectively guide the traffic flow at the local intersection, but also cooperate with the traffic signal control of the surrounding intersections to significantly improve the overall traffic efficiency of the road network.…”

Traffic as a barrier to walking safely in the United States: Perceived reasons and potential mitigation strategies

“…In 2008, the Federal Highway Administration launched the Proven Safety Countermeasures Initiative, a resource for transportation agencies to access information on data-driven strategies to reduce roadway fatalities ( Albee & Bobitz, 2021 ). In contrast to the substantial literature on efficacy, few studies have described the general public’s preferences for these various mitigation strategies, with existing studies restricted to one geographic area ( Emo et al, 2011 ) or outside the United States ( Aceves-González et al, 2020 , Anciaes et al, 2017 ).…”