Liveability along four streets in Hanoi, Vietnam is assessed. Hanoi is a rapidly growing metropolis characterised by high levels of personal motorized traffic. Two high traffic volume streets and two low traffic volume streets were studied using a mixed methods approach, combining the collection and analysis of quantitative and qualitative data on traffic volumes and liveability perceptions of its residents. The research methodology for this study revisits part of the well-known Liveable Streets study for San Francisco by Appleyard et al. (1981). A Principal Component Analysis (PCA) shows that residents on both low traffic volume streets experience less traffic hazard and stress, including noise and air pollution, than neighbouring high traffic volume streets. In line with Appleyard, the study shows that low traffic volume streets were rated more liveable than high traffic volume streets. In contrast to Appleyard, however, the study also shows that traffic volumes are not correlated with social interaction, feeling of privacy and sense of home, which is likely caused by the high levels of collectivism typical for Vietnam. Finally, the study indicates a strong residential neighbourhood type dissonance, where a mismatch exists between preferences for living in peaceful and quiet streets and the actual home location of residents.
LINK
This article aims to uncover the processes of developing sustainable business models in innovation ecosystems. Innovation ecosystems with sustainability goals often consist of cross-sector partners and need to manage three tensions: the tension of value creation versus value capture, the tension of mutual value versus individual value, and the tension of gaining value versus losing value. The fact that these tensions affect all actors differently makes the process of developing a sustainable business model challenging. Based on a study of four sustainably innovative cross-sector collaborations, we propose that innovation ecosystems that develop a sustainable business model engage in a process of valuing value in which they search for a result that satisfies all actors. We find two different patterns of valuing value: collective orchestration and continuous search. We describe these patterns and the conditions that give rise to them. The identification of the two patterns opens up a research agenda that can shed further light on the conditions that need to be in place in order for an innovation ecosystem to develop effective sustainable business models. For practice, our findings show how cross-sector actors in innovation ecosystems may collaborate when developing a business model around emerging sustainability-oriented innovations.
DOCUMENT
