This book provides a comprehensive overview of the most recent development of Chinese cities. It discusses a broad range of subjects of urban planning, including environmental planning, transportation planning, historical preservation, economic development, geographic information systems (GIS) and other technological applications. China, the most populous country in the world, has experienced unprecedented urbanization in a relatively short period. During the past decades, urbanization in China has centered on land development through industrialization and investment, but it has largely ignored the prosperity and well-being of the people. Livable cities are not just those with magnificent buildings and infrastructure; they are great places where people want to live. China's recently inaugurated leaders have proposed a new model to actively and prudently enhance the quality of urbanization through compact, intelligent, and low-carbon development. It symbolizes the departure from land-centered urban development to a form of people-oriented urbanization, as China's Premier, Li Keqiang, has advocated. This new model offers a platform for planning researchers and practitioners to tackle urbanization challenges, such as social equity, environment, energy, ecological and historic preservation, affordable housing, and externalities of mega cities. Furthermore, people-oriented urbanization calls for public participation and stakeholder engagement in the planning process. This book brings together planners, designers, scholars, scientists, and government officials from China and all over the world to exchange ideas on urban regeneration
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
During COVID-19 lockdowns, transit agencies need to respond to the decline in travel but also maintain the essential mobility of transit-dependent people. However, there are a few lessons that scholars and practitioners can learn from. Using highway traffic data in the Twin Cities, this study applies a generalized additive model to explore the relationships among the share of low-income population, transit service, and highway traffic during the week that occurred right after the 2020 stay-at-home order. Our results substantiate that transportation impacts are spread unevenly across different income groups and low-income people are less able to reduce travel, leading to equity concerns. Moreover, transit supply influences highway traffic differently in areas with different shares of low-income people. Our study suggests that transportation agencies should provide more affordable travel options for areas with concentrated poverty during lockdowns. In addition, transit agencies should manage transit supply strategically depending on the share of low-income people to better meet people's mobility needs.
Transit ridership depends on its quality of service. Many studies have analyzed rider satisfaction surveys to explore important service attributes and/or identify improvement priorities. Importance-performance analysis (IPA) is capable of serving both purposes. However, it assumes that service attributes have a symmetric influence on rider satisfaction. To relax the assumption, this study applies three-factor theory to classify service attributes into basic, performance, and excitement factors. Using the 2013 data of bus, bus rapid transit (BRT), and metro transit riders from Guangzhou, China, it compares the results from two alternative IPA and two applications of the three-factor theory. Explicit IPA and implicit IPA classify service attributes somewhat differently but produce similar improvement priorities. For the three-factor theory, the importance grid yields more plausible results than regression with dummy variables. This study further concludes divergent improvement priorities for different services: comfort while waiting at station/stop and service reliability for bus; safety while waiting, safety while riding, and comfort while waiting for BRT; and spatial coverage for metro transit. If resources are abundant, transit agencies could also improve customer service for bus and comfort while riding for BRT.
Policies in urban and transportation planning increasingly aim at improving residents' wellbeing. Satisfaction with travel (SWT) is a relevant component of well-being. Insight into the effect of the built environment on SWT is limited and therefore the focus of this paper. To assess this effect, a crucial issue is to what extent a relationship between the built environment and SWT is due to residential self-selection. To explore this question, a survey was held in corridors of the Twin Cities, which differed in terms of accessibility and transit options. Respondents reported their SWT, travel preferences and reasons for location choices,
among other things. Using a fixed-effect model of SWT, we found that self-selection plays a significant role in explaining SWT, but that built environment characteristics also have an independent effect on SWT. Taken together this suggests that policies to build high-quality transit have a positive effect on SWT, in general, and particularly for those with a transit preference.
Intro -- Preface -- Contents -- Part I Urban Planning and Development -- 1 On Chinese Approach to Theoretical Study of Urban Growth Boundary (UGB) -- 1.1 Research Background -- 1.2 Domestic and International Research Progresses of Urban Growth Boundary -- 1.2.1 International Research -- 1.2.2 Domestic Research -- 1.2.3 Summary -- 1.3 Chinese Approach to Urban Space Growth Boundary -- 1.3.1 Demarcating the Rigid Urban Growth Boundary -- 1.3.2 Demarcating the Elastic Urban Growth Boundary -- 1.4 Chinese Practice of Demarcating "Rigid" Urban Space Growth Boundary -- 1.4.1 Procedures for Ecological Essentiality Evaluation -- 1.4.2 Soil Erosion Sensitivity Evaluation Method -- 1.4.3 Habitat Sensitivity Evaluation Method -- 1.4.4 Ecological Essentiality Evaluation Method -- 1.5 Conclusion and Discussion -- 1.5.1 Conclusion -- 1.5.2 Discussion -- References -- 2 The Spatial Planning Technology Innovation of the Smart City Under Knowledge Economy and Ecological Sustainability -- 2.1 Core Elements of Smart City Development -- 2.2 Requirements of Smart City Spatial Development -- 2.3 Innovation and Development of Smart City Spatial Development -- 2.3.1 Innovation and Development of Smart City Spatial Development -- 2.3.2 Interactive Development of Smart City Space -- 2.3.3 Competitive Development of Smart City Space -- 2.3.4 Distribution of Smart City Space -- 2.3.5 Flow Development of Smart City Space -- 2.4 Application Practice of New Guangzhou Knowledge City -- 2.4.1 Evolution of Spatial Functional Organizations -- 2.4.2 Spatial Distribution and Structure: Distribution and Flow Development -- 2.4.3 Hybrid Compatible Development: Interaction and Competition -- 2.4.4 Conservation and Development of Natural Ecological Space: Evolution and Competition -- 2.4.5 Interactive Development Between Virtual Space and Physical Space -- 2.5 Conclusion -- References.
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
Assessing passenger satisfaction is essential to enhancing loyalty and increasing ridership on high speed rail (HSR). Many studies explore passenger satisfaction with transit and conventional railway, but there are only a few that look at HSR. Although the HSR studies provide information on the relationship between service quality and passenger satisfaction, few identify the attributes that have the largest impact or improvement priorities for existing HSR. This study employs multivariate regression and importance-performance analysis to identify influential attributes and service improvement priorities for the Shanghai-Nanjing HSR. We found that the most important correlates of passenger satisfaction were staff attitudes, convenience of ticket purchase, and ease of the access trip. In general, passengers are satisfied with HSR services, especially with the attributes that are critical to overall HSR satisfaction. However, we found that improving toilet sanitation and seat comfort on the Shanghai-Nanjing HSR would increase passenger satisfaction.
Exposure to risk is a theoretically important correlate of crash risk, but many safety performance functions (SPFs) for pedestrian and bicycle traffic have yet to include the mode-specific measures of exposure. When SPFs are used in the systematic approach to assess network-wide crash risk, the omission of the exposure potentially could affect the identification of high-risk locations. Using crash data from Minneapolis, this study constructs and compares two sets of SPFs, one with pedestrian and bicycle exposure variables and the other without, for network-wide intersection and mid-block crash models. Inclusion of mode-specific exposure variables improves model validity and measures of goodness-of-fit and increases accuracy of predictions of pedestrian and bicycle crash risk. Including these exposure variables in the SPFs changes the distribution of high-risk locations, including the proportion of high-risk locations in low-income and racially concentrated areas. These results confirm the importance of incorporating exposure measures within SPFs and the need for pedestrian and bicycle monitoring programs to generate exposure data.