Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities

This study investigates the impacts of physical environments on bicyclists’ perceptions of comfort on separated and on-street bicycle facilities. Based on a field investigation conducted in Nanjing, China, we find that physical environmental factors significantly influencing bicyclists’ perception of comfort on the two types of facility. Cyclists’ comfort is mainly influenced by the road geometry and surrounding conditions on physically separated paths while they pay attention to the effective riding space and traffic situations on on-street bicycle lanes.     

西北地区小城市绿色交通的研究

面对能源危机和环境污染,可持续发展的绿色交通理念应运而生。西北地区小城市更适合发展绿色交通。根据小城市的居民出行特征．从用地规划、交通管理、技术等层面提出一些措施建议,可为绿色交通建设提供参考。     

Crowdsourced data for bicycling research and practice

ABSTRACT

Cities are promoting bicycling for transportation as an antidote to increased traffic congestion, obesity and related health issues, and air pollution. However, both research and practice have been stalled by lack of data on bicycling volumes, safety, infrastructure, and public attitudes. New technologies such as GPS-enabled smartphones, crowdsourcing tools, and social media are changing the potential sources for bicycling data. However, many of the developments are coming from data science and it can be difficult evaluate the strengths and limitations of crowdsourced data. In this narrative review we provide an overview and critique of crowdsourced data that are being used to fill gaps and advance bicycling behaviour and safety knowledge. We assess crowdsourced data used to map ridership (fitness, bike share, and GPS/accelerometer data), assess safety (web-map tools), map infrastructure (OpenStreetMap), and track attitudes (social media). For each category of data, we discuss the challenges and opportunities they offer for researchers and practitioners. Fitness app data can be used to model spatial variation in bicycling ridership volumes, and GPS/accelerometer data offer new potential to characterise route choice and origin-destination of bicycling trips; however, working with these data requires a high level of training in data science. New sources of safety and near miss data can be used to address underreporting and increase predictive capacity but require grassroots promotion and are often best used when combined with official reports. Crowdsourced bicycling infrastructure data can be timely and facilitate comparisons across multiple cities; however, such data must be assessed for consistency in route type labels. Using social media, it is possible to track reactions to bicycle policy and infrastructure changes, yet linking attitudes expressed on social media platforms with broader populations is a challenge. New data present opportunities for improving our understanding of bicycling and supporting decision making towards transportation options that are healthy and safe for all. However, there are challenges, such as who has data access and how data crowdsourced tools are funded, protection of individual privacy, representativeness of data and impact of biased data on equity in decision making, and stakeholder capacity to use data given the requirement for advanced data science skills. If cities are to benefit from these new data, methodological developments and tools and training for end-users will need to track with the momentum of crowdsourced data.     

The effect of railway privatization on train planning: A case study of the UK

The restructuring of the UK railway industry in preparation for privatization led to major changes being made to train planning processes. Subsequent train planning problems, some of which became very public, suggest that something went seriously wrong during the development or implementation of these revised processes. This paper investigates what went wrong and why, finding that several factors were involved, including the objectives the new processes were expected to meet and the software that was being developed to support the new processes. There are clear lessons to be learnt from the UK experience to inform debate on future railway restructuring initiatives.     

Critical mass: forging a politics of sustainable mobility in the information age

Critical Mass, an urban bicycle/sustainability movement, began in San Francisco in 1992 and has spread to more than 100 cities around the world during the past eight years. Featuring organized monthly bicycle rides in specific cities, Critical Mass uses the Internet to sustain local and global actions, combining cyber-communication with face-to-face interactions. Critical Mass aims to shape debates on sustainability and material practices that will contribute to sustainable communities through a celebration of bicycling. We examine the ways in which Critical Mass uses scale to organize for sustainability. We also describe, through a survey of participants and interviews with bicycle advocates, how Critical Mass has been successful in changing people's travel behavior and in legitimizing the efforts of formal advocacy organizations.