Chapter 1. Introduction -- Chapter 2. Transportation mode choice and built environment around metro stations -- Chapter 3. Pedestrians' preferences on the street-scale built environment in a stated choice experiment -- Chapter 4. Pedestrians' route choice and the street-scale built environment. Chapter 5. Cyclists' preferences on the street-scale built environment in a stated choice experiment -- Chapter 6. Preference heterogeneity of cyclists' on the street-scale built environment -- Chapter 7. Application: Simulation model of pedestrian flows in the re-design of built environment around metro stations. Chapter 8. Conclusion.
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Mapping changes in carbon emissions and carbon storage (CECS) with high precision at a small scale (urban street-block level) can improve governmental policy decisions with respect to the construction of low-carbon cities. In this study, a methodological framework for assessing the carbon budget and its spatiotemporal changes from 2015 to 2017 in Wuhan is proposed, which is able to monitor a large area. To estimate the carbon storage, a comprehensive coefficient model was adopted with carbon density factors and corresponding land cover types. Details regarding land cover were extracted from the Geographic National Census Data (GNCD), including forests, grasslands, croplands, and gardens. For the carbon emissions, an emission-factor model was first used and a spatialization operation was subsequently performed using the geographic location that was obtained from the GNCD. The carbon emissions that were identified in the study are from fossil-fuel consumption, industrial production processes, disposal of urban domestic refuse, and transportation. The final dynamic changes in the CECS, in addition to the net carbon emissions, were monitored and analyzed, yielding temporal and spatial maps with a high-precision at a small scale. The results showed that the carbon storage in Wuhan declined by 2.70% over the three years, whereas the carbon emissions initially increased by 0.2%, and subsequently decreased by 3.1% over this period. The trend in the net carbon emission changes was similar to that of the carbon emissions, demonstrating that the efficiency of carbon reduction was improved during this period. Precise spatiotemporal results at the street-block level can offer insights to governments that are engaged in urban carbon cycle decision making processes, improving their capacities to more effectively manage the spatial distribution of CECS.
The success and impact of Disneyland, a trailblazing theme park created by Walt Disney in 1955, has been a subject of great interest and study in the field of marketing and entertainment. By identifying successful marketing practices and suggesting strategic recommendations, this essay can contribute to Disneyland's future growth and impact in an ever-changing entertainment landscape. The essay began with an introduction to Disneyland's historical background and significance in the theme park industry. It highlighted the park's role in popular culture, local employment opportunities, and economic benefits. The essay then focused on a comprehensive analysis of Disneyland's marketing strategies using the 4P model: product, price, place, and promotion. It examined how Disneyland created and delivered magical experiences, combined value-based and competitive pricing strategies, utilized physical and digital distribution channels, and employed various advertising and promotional methods. The essay concluded with strategic suggestions for Disneyland's future development, emphasizing content innovation, theme park advancements, global expansion, and brand collaborations. The suggestions aim to solidify Disneyland's position as a global leader in the entertainment industry, offering diverse, innovative, and captivating experiences. Overall, this essay provided insights into the marketing strategies behind Disneyland's success and offered recommendations for its continued growth and impact.