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Beyond research delays: science funding disruptions limit community participation in climate and infrastructure planning

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Abstract The current U.S. federal administration has sought to intervene into every aspect of academic life, university functioning, and the research enterprise including by attacking academic freedom and integrity and canceling and retreating from publicly funded research. Such actions have profound adverse effects on the U.S. public, especially its most marginalized communities, and on science, itself. This perspective provides a telling example of such impacts through our own experience of funding cancellation, the disruptions it causes and the effects it has on urban systems and the communities they support. By focusing on our project that sought to center environmental justice communities in urban transportation and climate planning we offer insights into the wide-ranging effects of such disinvestment, including on sustainability and air quality efforts, with recommendations for moving forward to advance sustainable, equitable, and resilient cities.

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Accelerating growth of urban populations has become a driving force of human development, especially in developing countries. Crowded cities are centres of creativity and economic progress; however, extreme weather conditions, flooding, water quality, air pollution and other hazards create substantial vulnerability and challenges in the urban environment.The third United Nations Conference on Housing and Sustainable Urban Development (HABITAT III) in October 2016 adopted the New Urban Agenda (United Nations, 2017), which brings into focus urban resilience, climate and environment sustainability, and disaster risk management. Following the event at the United Nations Economic and Social Council, efforts are required from WMO to consolidate its input to the revision of the New Urban Agenda (NUA) and support urban related activities in a comprehensive manner. Urban development is now a cornerstone of the United Nations 2030 Sustainable Development Goals. It has its own sustainable development goal (SDG 11): Make cities inclusive, safe, resilient and sustainable.To support implementation of urban activities the WMO inter-programme Urban Expert Team under the Commission for Atmospheric Sciences and Commission for Basic Systems (2018) supported by a dedicated team of urban focal points in the Secretariat developed the Guidance on Integrated Urban Hydro-Meteorological, Climate and Environmental Services (IUS). The needs for integrated urban services (IUS) include information for short-term preparedness (e.g. hazard response and early warning systems), longer-term planning (e.g. adaptation and mitigation to climate change) and support for day-to-day operations (e.g. water resources). The aim is to build urban systems and services that meet the special needs of cities through a combination of dense observation networks, high-resolution forecasts, multi-hazard early warning systems, disaster management plans and climate services. This approach gives cities the tools they need to reduce emissions, build thriving and resilient communities and implement the UN Sustainable Development Goals.WMO with its urban cross-cutting approach is involved in joint UN urban activities for development of and implementation of NUA and SDG 11 with a number of external partners, e.g. UN-Habitat, WHO, ITU, GEO, International Association for Urban Climate (IAUC), etc. The IUS methodology is integrated into more broad Multi-Agency UN system U4SSC: United for Smart Sustainable Cities and its key performance indicators (KPIs) for smart sustainable cities.This presentation provides an overview of the current efforts towards future IUSs on urbanization under climate change undertaken by the WMO and UN international initiatives for building climate smart, sustainable and resilient cities.

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ABSTRACTRecent crises exacerbate social, environmental, and economic problems affecting the Sustainable Development Goals (SDGs) and urban resilience. Urgent action is needed to address these issues. The paper aims to (i) broaden the debate on urban resilience and the SDGs and (ii) examine how the interconnection of Urban Spatial Resilience (USR) and the SDGs can contribute to sustainable cities and communities. The research is developed through a literature review and a bibliometric analysis, followed by a quantitative approach using modeling and simulation. The results reveal three critical elements that can impact urban resilience and sustainable development: SDG11, urban spatial structure resilience, and urban spatial form resilience. Other findings indicate that SDG13 and SDG6 have a significant indirect relationship with urban resilience. The study provides policy implications supporting urban resilience and the SDGs.

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Technological determinism has become a kind of religion for many people since it appears to offer solutions for societal problems as never before in history. Transport is one of the fascinating technology branches developed during the last 200 years. Effortless movement over long distances has become possible for car users as long as cheap fossil energy is available. However, the effect of fast transport on urban structures and society was not taken into account when developing these technical means. Technologists and economists have used indicators for expected benefits of these fast transport modes without taking into account the real system effects on society and urban structures. Plausible assumptions and hopes instead of scientific understanding of the complex system are used in practice. In contradiction to widely held beliefs of transportation planners, there is actually no growth of mobility if counted in number of trips per person per day, no time saving by increasing speed in the system, and no real freedom of modal choice. Modal choice is dependent on physical and other structures, the artificial environment built by urban planners, transport experts and political decisions. The core hypothesis of traditional urban and transport planning ‘growth of mobility’, ‘travel time saving by increasing speed’ and ‘freedom of modal choice’ are myths and do not exist in the real urban and transport system. This is the reason why urban planning and transport planning based on traditional non-scientific assumptions is creating continuously not only more transport problems, but also environmental and social as well as economic problems all over the world, where these principals are applied. Urban transport planning in Europe, understanding the transport system and the solutions are presented in this paper.

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  • 10.3390/su15032702
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Using the Socioeconomic Indicator Analysis to assess the Urban Vulnerability for Building Urban Resilience: A Case Study in Siem Reap City, Siem Reap Province
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Urban climate resilience relies on several factors, but urban socioeconomics are considered as a core bloodstream for urban development and building adaptive capability to overcome urban vulnerability and climate change impacts. The socioeconomic indicators are important parameters in assessing urban resilience level on climate-related natural and man-made disasters. This study aims to explore and address the levels of urban vulnerability and resilience in Siem Reap City, Cambodia by using variables of socioeconomic indicators. The research design of this study was made by adopting the HIGS framework (Hazard-Infrastructure-Governance-Socio-economics) on urban vulnerability assessment. Of these four key components of indicators, this study focuses only on twelve socioeconomic indicators by dividing them into three main components (demographic profile, development, and education-poverty-occupation) for assessing vulnerability and exploring how to build urban climate resilience. Data collection and research conducted using commune database data, key informant interviews and focused group discussion with Sangkats (communes) and relevant government agencies in Siem Reap City. The Siem Reap City is highly vulnerable to climate change impacts and has fair resilience toward urban climate change. Siem Reap City remains high ID Poor people. It has a relatively high number of population (especially children and 60 years old) vulnerable to climate change. In addition, the main occupation in this city retains a high attribution of agricultural production, and it has been impacted by climate change. The balanced development should also be made for the communes (Sangkats) that are vulnerable to climate change impacts, especially the green infrastructure, social services, and job creation and livelihood diversification for vulnerable groups, which help reduce the vulnerability of urban areas to climate threats and also key factors for the enhancing response capacity and adaptation of the city, or scalling up small, more local and city-based climate actions.

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This study clarified the structure in which virtual social capital (SC) affects the quality of life (QOL) and promotes urban resilience in a metropolitan area. It has been determined that assistance from neighboring residents and acquaintances is essential for community resilience and is considered one of the critical factors in urban systems' resilience. These social ties among residents are called SC. In today's metropolises, social ties with others are shifting from face-to-face relationships to virtual relationships. In this study, virtual SC is defined as a weak virtual network formed among people through social media, email, telephones, letters, which is less overlapped with networks formed in face-to-face networks. Also, direct communication online positively affects psychological and personal well-being (QOL).
 The case study in this paper examines the Tokyo metropolitan region and Bangkok metropolitan region. A web-based survey was administered among those in the younger generation who communicate daily using online tools, and 193 valid responses were collected. Structural Equation Modeling was used to analyze. This study's hypothesis model is the structure that virtual SC affects urban resilience through the quality of life. The difference in structure was identified as both ordinary time and the period of emergency declaration.
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  • Research Article
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  • 10.24048/ams3.no1.2014-29
Two Multiobjective Metaheuristics for Solving the Integrated Problem of Frequencie Calculation and Departures Planning in an Urban Transport System
  • Jan 1, 2014
  • Annals of Management Science
  • Paulina A Avila Torres + 1 more

(ProQuest: ... denotes formulae omitted.)1. Introduction.In this paper is addressed the public transport planning problem. This is a process which is usually divided into four phases: network design, timetabling construction, vehicle scheduling, and crew scheduling. Usually, these phases are executed sequentially. Here in the paper, we are tackling the bus timetable construction problem of an urban bus transport network. This is usually accomplished in three steps: first for each scenario (covering a concrete planning period) bus frequencies are calculated for each route in the network, then bus departures are settled for each route in the network based on previously calculated frequencies. This is then adjusted for getting acceptable timetables for planners.The main scientific contribution of this work is the development of an integrated multi-objective mixed integer lineal mathematical model to construct multi-period urban bus timetables, which also allows smooth transitions between adjacent planning periods with different demand.Recently Ibarra-Rojas & Rios-Solis (2012) have shown formally that the timetabling problem is NP-Hard, so we implemented two multi-objective metaheuristics to explore the effectiveness of the proposed model. We designed an experiment for testing the heuristics with generated random instances.The timetabling problem has been tackled in the literature from different approaches. Ceder (2007) proposes an exact methods for creating a timetable with maximal synchronization. Also, Eranki (2004), proposes a model to create timetables with maximal synchronization using time windows. She used a heuristic method to solve the problem, but she did not consider multiple criteria. Also, other authors consider maximization of synchronization as a key objective in urban transport planning. Among them, Paunovic (2013) showed a positive correlation between children blood pressure and road traffic noise, transit density and public transport. Burke (2011) also advocates the importance of taking into consideration passenger transfer as a measure of quality for an urban transport system, which indirectly calls for synchronization maximization. Another important measure of quality for urban transport planning is quality of service from the users' perspective (see Ibeas & Cecin, 2011). Ibeas & Cecin, (2011) concluded that the most important variables when defining quality of public transport from the users' perspective are waiting time, journey time and above all, level of occupancy. Recently, this claim has been a subject of research studies by some researchers. For example, Barra et al (2007) presented a model considering different characteristics of the transport system (passenger requirements, budget constraints, level of service). There are other research works on timetabling problem in which the authors use metaheuristics like GRASP. Among these is Mauttone & Urquhart (2009) who developed a metaheuristic based on GRASP for optimizing simultaneously different objectives for passengers and schedulers.In literature, there are approaches such as Szeto & Wu (2011) that combine two phases of the urban transport process. Szeto & Wu (2011) propose a simultaneously integrated solution for the bus network design and frequency setting problems using a genetic algorithm (GA) that tackles the route network design problem. GA is hybridized with a neighborhood search heuristic which tackles the frequency setting problem. Also in Cipriani et al. (2012), network design and frequency calculation are integrated for optimizing passenger transfer, among other impact measures. There are also approaches for solving two phases sequentially. A good example is Chakroborty (2003) who combines the transit routing and scheduling phases using a genetic algorithm. In his approach, he tries to minimize the transfer time and the waiting time. Another research that combines several phases is the one proposed by Zhao & Zeng (2008). …

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ROAD FREIGHT TRANSPORT PLANNING UNDER SUSTAINABLE CITY DEVELOPMENT
  • Jul 1, 2020
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  • N Mospan

This research paper devoted to the urban freight transport planning under sustainable city development. Continued urban population growth, traffic congestions, financial losses because of longer delivery times, harm-ful impact on environmental are highlighted as strong arguments for the freight traffic management in the cities. The article aims to help all stakeholders understand the challenges brought about by freight activities in an urban context, and make the planning process consistent and comprehensive for the city freight transportation system improvement. The brief overview of some recent foreign and native studies in urban transport planning and traffic engi-neering reveals main field of interests for modern researchers. The clear focus of the analysed scientific works di-rected on such aspects in sustainable urban freight transport development as energy and economic efficiency, eco-friendliness, safety, institutional and legal issues of freight transportations. Special attention is paid to the analy-sis of government initiatives in sustainable transport system development of Ukraine. Identification of the main freight transportation features in an urban area is carried out on the initial re-search stage. Each feature has an explanation for better understanding necessity of their usage in the freight transport planning process. The other focus of the research devotes to the description of the stages during urban freight transport planning process. Author attends a deep freight transport demand and supply analysis for a de-termination of the basic freight distribution regularities in an urban context. Therefore, a list of indicators for subsystem of city freight transportation evaluation is presented in the article. The whole set of indicators is divid-ed into economical, operational, environmental, social and general groups of indicators. Moreover, the compo-nents of successful measures implementation for an urban freight transport subsystem improvement are highlight-ed. Financial management, political support, institution, organisation and legal framework condition are consid-ered as the key elements of successful plans and measures implementation. Keywords: planning, sustainable development, freight transport, urban population, authorities.

  • Book Chapter
  • 10.1108/s2044-994120220000017019
Prelims
  • Oct 17, 2022
  • Lucy Budd + 22 more

Prelims

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