Elizabeth Deakin

Carsharing has long supported trip purposes typically made by private vehicles, with grocery shopping especially benefiting from the carrying capacity of a personal vehicle. BlueLA is a one-way, station-based electric vehicle (EV) carsharing service in Los Angeles aimed at improving access in low-income neighborhoods. We hypothesize that BlueLA improves grocery access for underserved households by increasing their spatial-temporal reach to diverse grocery store types. We test two hypotheses: (1) accessibility from BlueLA stations to grocery stores varies by store type, traffic conditions, and departure times; and (2) Standard (general population) and Community (low-income) members differ in perceived grocery access and station usage. Using a mixed-methods approach, we integrate walking and driving isochrones, store data (n = 5888), trip activity data (n = 59,112), and survey responses (n = 215). Grocery shopping was a key trip purpose, with 69% of Community and 61% of Standard members reporting this use. Late-night grocery access is mostly limited to convenience stores, while roundtrips to full-service stores range from 55 to 100 min and cost USD 12 to USD 20. Survey data show that 84% of Community and 71% of Standard members reported improved grocery access. The findings highlight the importance of trip timing and the potential for carsharing and retail strategies to improve food access.

With the rapid growth occurring in the urban regions of China, it is critical to address issues of sustainability through practices that engender holistic energy efficient solutions. In this paper, we present results from a collaborative design project carried out with planning officials from the city of Jinan (population 3.4 million), for the Luokou district, a 3.1 km² (1.2 mi²) area to the north of the CBD that is expected to house 100,000–130,000 people by 2020. By integrating sustainable building design, land use, urban design, and transportation, our proposal identified opportunities for improving energy efficiency that might have been overlooked by considering buildings and transportation separately. Mixed land uses and walkable neighborhoods were proposed along with highly differentiated street designs, intended to carry different traffic loads and prioritize diverse travel modes. Street widths and building heights were adjusted to maximize the potential for passive solar heating and daylight use within buildings. The district’s environmental performance, analyzed using building energy evaluation and traffic micro simulation models, showed that the design would reduce energy loads by over 25% compared to business as usual. While the proposal complied with national and local policies, and had far better energy performance than conventional designs, the proposal ultimately was not accepted by local officials because initial costs to the developers were higher than for conventional designs.

The internationalization of policy regimes and the reorganization of the state have provided new opportunities for cities to bypass nation-state structures and work with other cities internationally. This provides greater opportunity for cities to learn from each other and could be an important stimulus to the transfer of policies across the globe. Few studies exist however which focus on the processes that shape the search for policy lessons and how they are affected by the institutional context within which they are conducted. This paper describes research conducted in the field of urban transport and planning policy across eleven cities in Northern Europe and North America which seeks to explore the motivations for and mechanisms supporting learning about new policies. Thirty policies were examined across the eleven sites using document review and interviews with key actors. The paper explores the search for lessons and the learning process and considers the influences of institutional context, organizational behaviour, and individual cognitive constraints. The process of seeking out and learning policy lessons is defined by individuals operating within a particular policy space and exhibits a number of characteristics of strongly bounded rational choice. The search parameters are significantly influenced by preconceptions of the nature of the preferred solutions and the likelihood of cities in other contexts offering meaningful learning opportunities. Trusted peer networks emerge as critical in overcoming information overload, resource constraints, and uncertainty in the potential for policy transfer. The mobility of policies seems also to be linked to the mobility of the key transfer agents. Cities adopt quite different approaches to engaging with the communities of policy mobilizers which seems likely to impact on the pace and pattern of the movement of policies.

California has adopted innovative legislation to tackle climate change. Energy-efficient buildings, lower-emissions industrial processes, and more fuel-efficient transportation vehicles operating on cleaner fuels are among the many strategies that are being implemented. However, to attain the needed reductions, California must find additional strategies to reduce greenhouse-gas emissions, especially from the transportation sector, which is a large fraction of the total emissions problem. This paper discusses the efforts that are underway to further increase transportation efficiency, shift transportation to less CO2-intensive modes, and slow or reverse growth in vehicle-kilometers of travel (VKT). The legislative mandate is leading to a new focus on methods for quantifying travel changes and emissions reductions, ranging from spreadsheet approaches to integrated transportation-land use models. It also is renewing interest in travel-demand management and land-use policies that could reduce overall travel. ...